feat(*): rewritten the project with C/C++ (#1172)

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K4YT3X 2024-10-07 19:29:00 -07:00 committed by GitHub
parent 721de8cbce
commit a7952fc493
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GPG Key ID: B5690EEEBB952194
80 changed files with 6664 additions and 5734 deletions

17
.flake8
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@ -1,17 +0,0 @@
[flake8]
exclude =
.git
.venv
__pycache__
__pypackages__
build
dist
ignore =
Q000
W503
ANN101
ANN102
max-line-length = 88
per-file-ignores =
examples/run_interpolate_rife.py:E501
examples/run_upscale_waifu2x.py:E501

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.github/workflows/build.yml vendored Normal file
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name: build
on:
push:
branches:
- master
- dev
pull_request: {}
workflow_dispatch: {}
jobs:
ubuntu:
runs-on: ubuntu-latest
env:
DEBIAN_FRONTEND: noninteractive
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
submodules: recursive
- name: Install dependencies
run: |
git submodule update --init --recursive
sudo apt-get update
sudo apt-get install -y --no-install-recommends \
libavcodec-dev \
libavdevice-dev \
libavfilter-dev \
libavformat-dev \
libavutil-dev \
libswscale-dev \
libvulkan-dev \
glslang-tools \
libomp-dev
- name: Build Video2X
run: |
mkdir -p /tmp/build /tmp/install
cmake -B /tmp/build -S . -DUSE_SYSTEM_NCNN=OFF \
-DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++ \
-DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=/tmp/install \
-DINSTALL_BIN_DESTINATION=. -DINSTALL_INCLUDE_DESTINATION=include \
-DINSTALL_LIB_DESTINATION=. -DINSTALL_MODEL_DESTINATION=.
cmake --build /tmp/build --config Debug --target install --parallel
- name: Upload artifacts
uses: actions/upload-artifact@v4
with:
name: video2x-nightly-linux-amd64
path: /tmp/install
windows:
runs-on: windows-latest
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
submodules: recursive
- name: Install Vulkan SDK
uses: humbletim/setup-vulkan-sdk@v1.2.0
with:
vulkan-query-version: 1.3.204.0
vulkan-components: Vulkan-Headers, Vulkan-Loader, Glslang, SPIRV-Tools, SPIRV-Headers
- name: Install dependencies
shell: pwsh
run: |
$ffmpegVersion = "7.1"
$ncnnVersion = "20240820"
git submodule update --init --recursive
curl -Lo ffmpeg-shared.zip "https://github.com/GyanD/codexffmpeg/releases/download/$ffmpegVersion/ffmpeg-$ffmpegVersion-full_build-shared.zip"
Expand-Archive -Path ffmpeg-shared.zip -DestinationPath third_party
Rename-Item -Path "third_party/ffmpeg-$ffmpegVersion-full_build-shared" -NewName ffmpeg-shared
curl -Lo ncnn-shared.zip "https://github.com/Tencent/ncnn/releases/download/$ncnnVersion/ncnn-$ncnnVersion-windows-vs2022-shared.zip"
Expand-Archive -Path ncnn-shared.zip -DestinationPath third_party
Rename-Item -Path "third_party/ncnn-$ncnnVersion-windows-vs2022-shared" -NewName ncnn-shared
- name: Build Video2X
run: |
cmake -S . -B build -DUSE_SYSTEM_NCNN=OFF -DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=build/video2x_install
cmake --build build --config Debug --parallel --target install
- name: Upload artifacts
uses: actions/upload-artifact@v4
with:
name: video2x-nightly-windows-amd64
path: build/video2x_install

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@ -1,41 +0,0 @@
name: CI
on:
push:
branches:
- master
- dev/*
pull_request: {}
workflow_dispatch: {}
jobs:
ubuntu:
runs-on: ubuntu-latest
env:
DEBIAN_FRONTEND: noninteractive
steps:
- name: Checkout repository
uses: actions/checkout@v2
with:
submodules: recursive
- name: Setup Python
uses: actions/setup-python@v2
with:
python-version: 3.9
- name: Install dependencies
run: |
sudo apt-get update
sudo apt-get install -y --no-install-recommends \
python3-opencv python3-pil python3-tqdm python3-dev \
libvulkan-dev glslang-dev glslang-tools swig
pip install wheel
- name: Build wheels
run: |
pip wheel -w /tmp/wheels \
rife-ncnn-vulkan-python@git+https://github.com/media2x/rife-ncnn-vulkan-python.git .
- name: Package artifacts
run: |
tar cJvf /tmp/video2x-nightly-wheels.txz /tmp/wheels/*
- name: Upload artifacts
uses: actions/upload-artifact@v2
with:
name: video2x-nightly-wheels
path: /tmp/video2x-nightly-wheels.txz

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@ -16,10 +16,29 @@ jobs:
id: get_tag
run: echo ::set-output name=tag::${GITHUB_REF/refs\/tags\//}
container:
name: Build and upload container
needs:
- setup
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v4
- uses: mr-smithers-excellent/docker-build-push@v5
name: Build & push the Docker image
with:
registry: ghcr.io
username: ${{ secrets.GHCR_USER }}
password: ${{ secrets.GHCR_TOKEN }}
dockerfile: Dockerfile
image: video2x
tags: latest, ${{ needs.setup.outputs.tag }}
create-release:
name: Create release
needs:
- setup
- container
runs-on: ubuntu-latest
outputs:
upload_url: ${{ steps.create_release.outputs.upload_url }}
@ -34,22 +53,3 @@ jobs:
release_name: Video2X ${{ needs.setup.outputs.tag }}
draft: true
prerelease: false
container:
name: Build and upload container
needs:
- setup
- create-release
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v2
- uses: mr-smithers-excellent/docker-build-push@v5
name: Build & push the Docker image
with:
registry: ghcr.io
username: ${{ secrets.GHCR_USER }}
password: ${{ secrets.GHCR_TOKEN }}
dockerfile: Dockerfile
image: video2x
tags: latest, ${{ needs.setup.outputs.tag }}

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.gitignore vendored
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# PDM
.pdm-python
__pypackages__/
# test videos
# Data files
data/
*.mp4
*.mkv
*.mov
*.avi
*.flv
*.webm
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
# Built-binaries
bin/
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Prerequisites
*.d
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Object files
*.o
*.ko
*.obj
*.elf
# Unit test / coverage reports
htmlcov/
.tox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
.hypothesis/
.pytest_cache/
# Linker output
*.ilk
*.map
*.exp
# Translations
#*.mo
#*.pot
# Precompiled Headers
*.gch
*.pch
# Django stuff:
*.log
local_settings.py
db.sqlite3
# Libraries
*.lib
*.a
*.la
*.lo
# Flask stuff:
instance/
.webassets-cache
# Shared objects (inc. Windows DLLs)
*.dll
#*.so
*.so.*
*.dylib
# Scrapy stuff:
.scrapy
# Executables
*.exe
*.out
*.app
*.i*86
*.x86_64
*.hex
# Sphinx documentation
docs/_build/
# Debug files
*.dSYM/
*.su
*.idb
*.pdb
# PyBuilder
target/
# Kernel Module Compile Results
#*.mod*
*.cmd
.tmp_versions/
modules.order
Module.symvers
Mkfile.old
dkms.conf
# Jupyter Notebook
.ipynb_checkpoints
# clang tooling compilation databases
.cache/
*.plist
# pyenv
.python-version
# celery beat schedule file
celerybeat-schedule
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
# CMake
CMakeLists.txt.user
CMakeCache.txt
CMakeFiles
CMakeScripts
Testing
Makefile
cmake_install.cmake
install_manifest.txt
compile_commands.json
CTestTestfile.cmake
_deps
CMakeUserPresets.json

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.gitmodules vendored Normal file
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[submodule "third_party/libreal_esrgan_ncnn_vulkan"]
path = third_party/libreal_esrgan_ncnn_vulkan
url = https://github.com/k4yt3x/libreal-esrgan-ncnn-vulkan.git
[submodule "third_party/ncnn"]
path = third_party/ncnn
url = https://github.com/Tencent/ncnn.git

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CHANGELOG.md Normal file
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# Changelog
All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [Unreleased]

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CMakeLists.txt Normal file
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cmake_minimum_required(VERSION 3.10)
project(video2x VERSION 6.0.0 LANGUAGES CXX C)
# Set the C standard
set(CMAKE_C_STANDARD 99)
set(CMAKE_C_STANDARD_REQUIRED ON)
# Set the C++ standard
set(CMAKE_CXX_STANDARD 17)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
set(CMAKE_CXX_EXTENSIONS OFF)
# Set the default build type to Release if not specified
if(NOT CMAKE_BUILD_TYPE)
set(CMAKE_BUILD_TYPE Release)
endif()
# Set the default optimization flags for Release builds
if(CMAKE_BUILD_TYPE STREQUAL "Release")
if (CMAKE_CXX_COMPILER_ID STREQUAL "MSVC")
set(CMAKE_C_FLAGS_RELEASE "${CMAKE_C_FLAGS_RELEASE} /Ox /GL /LTCG /MD /DNDEBUG")
set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} /Ox /GL /LTCG /MD /DNDEBUG")
elseif (CMAKE_CXX_COMPILER_ID STREQUAL "GNU" OR CMAKE_CXX_COMPILER_ID MATCHES "Clang")
set(CMAKE_C_FLAGS_RELEASE "${CMAKE_C_FLAGS_RELEASE} -O3 -march=native -flto")
set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} -O3 -march=native -flto")
set(CMAKE_EXE_LINKER_FLAGS_RELEASE "${CMAKE_EXE_LINKER_FLAGS_RELEASE} -s")
set(CMAKE_SHARED_LINKER_FLAGS_RELEASE "${CMAKE_SHARED_LINKER_FLAGS_RELEASE} -s")
endif()
endif()
# Build options
option(BUILD_SHARED_LIBS "Build libvideo2x as a shared library" ON)
option(BUILD_VIDEO2X "Build the video2x executable" ON)
option(USE_SYSTEM_NCNN "Use system ncnn library" ON)
set(ALL_INCLUDE_DIRS)
set(ALL_LIBRARIES)
if(WIN32)
# Define base paths for FFmpeg and ncnn
set(FFMPEG_BASE_PATH ${PROJECT_SOURCE_DIR}/third_party/ffmpeg-shared)
set(NCNN_BASE_PATH ${PROJECT_SOURCE_DIR}/third_party/ncnn-shared/x64)
# FFmpeg
list(APPEND ALL_LIBRARIES
${FFMPEG_BASE_PATH}/lib/avcodec.lib
${FFMPEG_BASE_PATH}/lib/avdevice.lib
${FFMPEG_BASE_PATH}/lib/avfilter.lib
${FFMPEG_BASE_PATH}/lib/avformat.lib
${FFMPEG_BASE_PATH}/lib/avutil.lib
${FFMPEG_BASE_PATH}/lib/swscale.lib
)
list(APPEND ALL_INCLUDE_DIRS ${FFMPEG_BASE_PATH}/include)
# ncnn
# TODO: Figure out why this file is not being copied to the install directory
set(SPIRV_BUILD_PATH ${CMAKE_BINARY_DIR}/realesrgan-prefix/src/realesrgan-build/ncnn/glslang/SPIRV)
if (CMAKE_BUILD_TYPE STREQUAL "Release")
set(SPIRV_LIB ${SPIRV_BUILD_PATH}/Release/SPIRV.lib)
else()
set(SPIRV_LIB ${SPIRV_BUILD_PATH}/Debug/SPIRVd.lib)
endif()
list(APPEND ALL_LIBRARIES
${NCNN_BASE_PATH}/lib/ncnn.lib
${SPIRV_LIB}
)
list(APPEND ALL_INCLUDE_DIRS ${NCNN_BASE_PATH}/include/ncnn)
else()
# Find the required packages using pkg-config
find_package(PkgConfig REQUIRED)
set(REQUIRED_PKGS
libavcodec
libavdevice
libavfilter
libavformat
libavutil
libswscale
)
# Loop through each package to find and collect include dirs and libraries
foreach(PKG ${REQUIRED_PKGS})
pkg_check_modules(${PKG} REQUIRED ${PKG})
list(APPEND ALL_INCLUDE_DIRS ${${PKG}_INCLUDE_DIRS})
list(APPEND ALL_LIBRARIES ${${PKG}_LIBRARIES})
endforeach()
endif()
# Remove duplicate entries
list(REMOVE_DUPLICATES ALL_INCLUDE_DIRS)
list(REMOVE_DUPLICATES ALL_LIBRARIES)
# Find ncnn package
if(USE_SYSTEM_NCNN)
find_package(ncnn REQUIRED)
else()
option(NCNN_INSTALL_SDK "" OFF)
option(NCNN_PIXEL_ROTATE "" OFF)
option(NCNN_VULKAN "" ON)
option(NCNN_VULKAN_ONLINE_SPIRV "" ON)
option(NCNN_BUILD_BENCHMARK "" OFF)
option(NCNN_BUILD_TESTS "" OFF)
option(NCNN_BUILD_TOOLS "" OFF)
option(NCNN_BUILD_EXAMPLES "" OFF)
option(NCNN_DISABLE_RTTI "" ON)
option(NCNN_DISABLE_EXCEPTION "" ON)
option(NCNN_BUILD_SHARED_LIBS "" OFF)
option(SKIP_GLSLANG_INSTALL "" ON)
option(WITH_LAYER_absval "" OFF)
option(WITH_LAYER_argmax "" OFF)
option(WITH_LAYER_batchnorm "" OFF)
option(WITH_LAYER_bias "" OFF)
option(WITH_LAYER_bnll "" OFF)
option(WITH_LAYER_concat "" ON)
option(WITH_LAYER_convolution "" ON)
option(WITH_LAYER_crop "" ON)
option(WITH_LAYER_deconvolution "" OFF)
option(WITH_LAYER_dropout "" OFF)
option(WITH_LAYER_eltwise "" ON)
option(WITH_LAYER_elu "" OFF)
option(WITH_LAYER_embed "" OFF)
option(WITH_LAYER_exp "" OFF)
option(WITH_LAYER_flatten "" ON)
option(WITH_LAYER_innerproduct "" ON)
option(WITH_LAYER_input "" ON)
option(WITH_LAYER_log "" OFF)
option(WITH_LAYER_lrn "" OFF)
option(WITH_LAYER_memorydata "" OFF)
option(WITH_LAYER_mvn "" OFF)
option(WITH_LAYER_pooling "" OFF)
option(WITH_LAYER_power "" OFF)
option(WITH_LAYER_prelu "" ON)
option(WITH_LAYER_proposal "" OFF)
option(WITH_LAYER_reduction "" OFF)
option(WITH_LAYER_relu "" ON)
option(WITH_LAYER_reshape "" OFF)
option(WITH_LAYER_roipooling "" OFF)
option(WITH_LAYER_scale "" OFF)
option(WITH_LAYER_sigmoid "" OFF)
option(WITH_LAYER_slice "" OFF)
option(WITH_LAYER_softmax "" OFF)
option(WITH_LAYER_split "" ON)
option(WITH_LAYER_spp "" OFF)
option(WITH_LAYER_tanh "" OFF)
option(WITH_LAYER_threshold "" OFF)
option(WITH_LAYER_tile "" OFF)
option(WITH_LAYER_rnn "" OFF)
option(WITH_LAYER_lstm "" OFF)
option(WITH_LAYER_binaryop "" ON)
option(WITH_LAYER_unaryop "" OFF)
option(WITH_LAYER_convolutiondepthwise "" OFF)
option(WITH_LAYER_padding "" ON)
option(WITH_LAYER_squeeze "" OFF)
option(WITH_LAYER_expanddims "" OFF)
option(WITH_LAYER_normalize "" OFF)
option(WITH_LAYER_permute "" OFF)
option(WITH_LAYER_priorbox "" OFF)
option(WITH_LAYER_detectionoutput "" OFF)
option(WITH_LAYER_interp "" ON)
option(WITH_LAYER_deconvolutiondepthwise "" OFF)
option(WITH_LAYER_shufflechannel "" OFF)
option(WITH_LAYER_instancenorm "" OFF)
option(WITH_LAYER_clip "" OFF)
option(WITH_LAYER_reorg "" OFF)
option(WITH_LAYER_yolodetectionoutput "" OFF)
option(WITH_LAYER_quantize "" OFF)
option(WITH_LAYER_dequantize "" OFF)
option(WITH_LAYER_yolov3detectionoutput "" OFF)
option(WITH_LAYER_psroipooling "" OFF)
option(WITH_LAYER_roialign "" OFF)
option(WITH_LAYER_packing "" ON)
option(WITH_LAYER_requantize "" OFF)
option(WITH_LAYER_cast "" ON)
option(WITH_LAYER_hardsigmoid "" OFF)
option(WITH_LAYER_selu "" OFF)
option(WITH_LAYER_hardswish "" OFF)
option(WITH_LAYER_noop "" OFF)
option(WITH_LAYER_pixelshuffle "" ON)
option(WITH_LAYER_deepcopy "" OFF)
option(WITH_LAYER_mish "" OFF)
option(WITH_LAYER_statisticspooling "" OFF)
option(WITH_LAYER_swish "" OFF)
option(WITH_LAYER_gemm "" OFF)
option(WITH_LAYER_groupnorm "" OFF)
option(WITH_LAYER_layernorm "" OFF)
option(WITH_LAYER_softplus "" OFF)
add_subdirectory(third_party/ncnn)
endif()
# Include ExternalProject module
include(ExternalProject)
# Add libreal-esrgan-ncnn-vulkan as an external project
ExternalProject_Add(
realesrgan
SOURCE_DIR ${PROJECT_SOURCE_DIR}/third_party/libreal_esrgan_ncnn_vulkan/src
CMAKE_ARGS
-DCMAKE_BUILD_TYPE=${CMAKE_BUILD_TYPE}
-DCMAKE_INSTALL_PREFIX=${CMAKE_BINARY_DIR}/realesrgan_install
-DCMAKE_POSITION_INDEPENDENT_CODE=ON
-DUSE_SYSTEM_NCNN=${USE_SYSTEM_NCNN}
BUILD_ALWAYS ON
INSTALL_COMMAND ${CMAKE_COMMAND} --build . --target install --config ${CMAKE_BUILD_TYPE}
)
# Add all source files for libvideo2x
file(GLOB LIBVIDEO2X_SOURCES src/*.cpp)
# Create the shared library 'libvideo2x'
add_library(libvideo2x ${LIBVIDEO2X_SOURCES})
target_compile_definitions(libvideo2x PRIVATE LIBVIDEO2X_EXPORTS)
if(WIN32)
set_target_properties(libvideo2x PROPERTIES OUTPUT_NAME libvideo2x)
else()
set_target_properties(libvideo2x PROPERTIES OUTPUT_NAME video2x)
endif()
# Ensure libvideo2x depends on realesrgan being built and installed
add_dependencies(libvideo2x realesrgan)
# Include directories for the shared library
target_include_directories(libvideo2x PRIVATE
${ALL_INCLUDE_DIRS}
${PROJECT_SOURCE_DIR}/include
${PROJECT_SOURCE_DIR}/third_party/libreal_esrgan_ncnn_vulkan/src
)
# Compile options for the shared library
target_compile_options(libvideo2x PRIVATE
-Wall
-fPIC
$<$<CONFIG:Release>:-Ofast>
$<$<CONFIG:Debug>:-g -DDEBUG>
)
# Define the path to the built libresrgan-ncnn-vulkan library
if(WIN32)
set(REALESRGAN_LIB ${CMAKE_BINARY_DIR}/realesrgan_install/lib/realesrgan-ncnn-vulkan.lib)
else()
set(REALESRGAN_LIB ${CMAKE_BINARY_DIR}/realesrgan_install/lib/librealesrgan-ncnn-vulkan.so)
endif()
# Link the shared library with the dependencies
target_link_libraries(libvideo2x PRIVATE ${ALL_LIBRARIES} ${REALESRGAN_LIB})
if(NOT WIN32)
if (USE_SYSTEM_NCNN)
target_link_libraries(libvideo2x PUBLIC ncnn)
else()
target_link_libraries(libvideo2x PRIVATE ncnn)
endif()
endif()
# Create the executable 'video2x'
if (BUILD_VIDEO2X)
add_executable(video2x src/video2x.c src/getopt.c)
set_target_properties(video2x PROPERTIES OUTPUT_NAME video2x)
# Include directories for the executable
target_include_directories(video2x PRIVATE
${ALL_INCLUDE_DIRS}
${PROJECT_SOURCE_DIR}/include
)
# Compile options for the executable
target_compile_options(video2x PRIVATE
-Wall
$<$<CONFIG:Debug>:-g -DDEBUG>
)
# Link the executable with the shared library
target_link_libraries(video2x PRIVATE ${ALL_LIBRARIES} libvideo2x)
endif()
# Define the default installation directories
if(WIN32)
set(BIN_DESTINATION_DEFAULT ".")
set(INCLUDE_DESTINATION_DEFAULT "include")
set(LIB_DESTINATION_DEFAULT ".")
set(MODEL_DESTINATION_DEFAULT ".")
else()
set(BIN_DESTINATION_DEFAULT "bin")
set(INCLUDE_DESTINATION_DEFAULT "include")
set(LIB_DESTINATION_DEFAULT "lib")
set(MODEL_DESTINATION_DEFAULT "share/video2x")
endif()
# Set the installation directories
set(INSTALL_BIN_DESTINATION ${BIN_DESTINATION_DEFAULT} CACHE STRING "")
set(INSTALL_INCLUDE_DESTINATION ${INCLUDE_DESTINATION_DEFAULT} CACHE STRING "")
set(INSTALL_LIB_DESTINATION ${LIB_DESTINATION_DEFAULT} CACHE STRING "")
set(INSTALL_MODEL_DESTINATION ${MODEL_DESTINATION_DEFAULT} CACHE STRING "")
# Common installation rules for libvideo2x and models
install(TARGETS libvideo2x
LIBRARY DESTINATION ${INSTALL_LIB_DESTINATION}
PERMISSIONS OWNER_READ OWNER_WRITE OWNER_EXECUTE
GROUP_READ GROUP_EXECUTE
WORLD_READ WORLD_EXECUTE
ARCHIVE DESTINATION ${INSTALL_LIB_DESTINATION}
RUNTIME DESTINATION ${INSTALL_BIN_DESTINATION}
)
# Install model files
install(DIRECTORY ${CMAKE_SOURCE_DIR}/models DESTINATION ${INSTALL_MODEL_DESTINATION})
# Install the executable if BUILD_VIDEO2X is enabled
if(BUILD_VIDEO2X)
install(TARGETS video2x RUNTIME DESTINATION ${INSTALL_BIN_DESTINATION})
endif()
# Install the header file
install(FILES ${PROJECT_SOURCE_DIR}/include/libvideo2x.h DESTINATION ${INSTALL_INCLUDE_DESTINATION})
# Platform-specific installation rules
if(WIN32)
# Install Windows-specific dependencies
install(FILES ${CMAKE_BINARY_DIR}/realesrgan_install/bin/realesrgan-ncnn-vulkan.dll
DESTINATION ${INSTALL_BIN_DESTINATION}
PERMISSIONS OWNER_READ OWNER_WRITE OWNER_EXECUTE
GROUP_READ GROUP_EXECUTE
WORLD_READ WORLD_EXECUTE
)
install(FILES ${NCNN_BASE_PATH}/bin/ncnn.dll DESTINATION ${INSTALL_BIN_DESTINATION}
PERMISSIONS OWNER_READ OWNER_WRITE OWNER_EXECUTE
GROUP_READ GROUP_EXECUTE
WORLD_READ WORLD_EXECUTE
)
else()
# Install Unix-specific dependencies
install(FILES ${REALESRGAN_LIB} DESTINATION ${INSTALL_LIB_DESTINATION}
PERMISSIONS OWNER_READ OWNER_WRITE OWNER_EXECUTE
GROUP_READ GROUP_EXECUTE
WORLD_READ WORLD_EXECUTE
)
endif()

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@ -1,44 +1,45 @@
# Name: Video2X Dockerfile
# Creator: K4YT3X
# Date Created: February 3, 2022
# Last Modified: February 9, 2024
# Last Modified: October 7, 2024
# stage 1: build the python components into wheels
FROM docker.io/nvidia/vulkan:1.3-470 AS builder
ENV DEBIAN_FRONTEND=noninteractive
FROM docker.io/archlinux:latest AS builder
COPY . /video2x
# Install dependencies and create a non-root user
RUN pacman -Syy --noconfirm \
base-devel ffmpeg ncnn git cmake make clang pkgconf vulkan-headers openmp sudo \
nvidia-utils vulkan-radeon vulkan-intel vulkan-swrast \
&& useradd -m builder \
&& echo 'builder ALL=(ALL) NOPASSWD: ALL' > /etc/sudoers.d/builder
# Switch to the non-root user and copy the source code
USER builder
COPY --chown=builder:builder . /video2x
WORKDIR /video2x
RUN gpg --keyserver=keyserver.ubuntu.com --receive-keys A4B469963BF863CC \
&& gpg --export A4B469963BF863CC > /etc/apt/trusted.gpg.d/cuda.gpg
RUN apt-get update \
&& apt-get install -y --no-install-recommends \
python3.9 python3-pip python3-opencv python3-pil \
python3.9-dev libvulkan-dev glslang-dev glslang-tools \
build-essential swig \
&& python3.9 -m pip wheel -w /wheels wheel pdm-backend '.[all]'
# Build the package
RUN makepkg -s --noconfirm \
&& find /video2x -maxdepth 1 -name '*.pkg.tar.zst' | head -n 1 | \
xargs -I {} cp {} /tmp/video2x.pkg.tar.zst
# stage 2: install wheels into the final image
FROM docker.io/nvidia/vulkan:1.3-470
FROM docker.io/archlinux:latest
LABEL maintainer="K4YT3X <i@k4yt3x.com>" \
org.opencontainers.image.source="https://github.com/k4yt3x/video2x" \
org.opencontainers.image.description="A lossless video/GIF/image upscaler"
ENV DEBIAN_FRONTEND=noninteractive
org.opencontainers.image.description="A lossless video super resolution framework"
ENV VK_ICD_FILENAMES=/usr/share/vulkan/icd.d/nvidia_icd.json\
:/usr/share/vulkan/icd.d/radeon_icd.x86_64.json\
:/usr/share/vulkan/icd.d/intel_icd.x86_64.json
COPY --from=builder /var/lib/apt/lists* /var/lib/apt/lists/
COPY --from=builder /wheels /wheels
COPY --from=builder /tmp/video2x.pkg.tar.zst /video2x.pkg.tar.zst
COPY . /video2x
WORKDIR /video2x
RUN apt-get install -y --no-install-recommends \
python3.9 python3-pip python3.9-dev \
python3-opencv python3-pil \
mesa-vulkan-drivers cuda-drivers ffmpeg \
&& python3.9 -m pip install --no-cache-dir --no-index -f /wheels '.[all]' \
&& apt-get clean \
&& rm -rf /wheels /video2x /var/lib/apt/lists/*
RUN pacman -Sy --noconfirm ffmpeg ncnn \
nvidia-utils vulkan-radeon vulkan-intel vulkan-swrast \
&& pacman -U --noconfirm /video2x.pkg.tar.zst \
&& rm -rf /video2x.pkg.tar.zst /var/cache/pacman/pkg/*
WORKDIR /host
ENTRYPOINT ["/usr/bin/python3.9", "-m", "video2x"]
ENTRYPOINT ["/usr/bin/video2x"]

71
Makefile Normal file
View File

@ -0,0 +1,71 @@
.PHONY: build static debug windows test-realesrgan test-libplacebo leakcheck clean
BINDIR=build
CC=clang
CXX=clang++
build:
cmake -S . -B $(BINDIR) \
-DCMAKE_EXPORT_COMPILE_COMMANDS=ON \
-DCMAKE_C_COMPILER=$(CC) \
-DCMAKE_CXX_COMPILER=$(CXX) \
-DCMAKE_BUILD_TYPE=Release
cmake --build $(BINDIR) --config Release --parallel
cp $(BINDIR)/compile_commands.json .
static:
cmake -S . -B $(BINDIR) \
-DCMAKE_EXPORT_COMPILE_COMMANDS=ON \
-DCMAKE_C_COMPILER=$(CC) \
-DCMAKE_CXX_COMPILER=$(CXX) \
-DCMAKE_BUILD_TYPE=Release \
-DBUILD_SHARED_LIBS=OFF \
-DUSE_SYSTEM_NCNN=OFF
cmake --build $(BINDIR) --config Release --parallel
cp $(BINDIR)/compile_commands.json .
debug:
cmake -S . -B $(BINDIR) \
-DCMAKE_EXPORT_COMPILE_COMMANDS=ON \
-DCMAKE_C_COMPILER=$(CC) \
-DCMAKE_CXX_COMPILER=$(CXX) \
-DCMAKE_BUILD_TYPE=Debug
cmake --build $(BINDIR) --config Debug --parallel
cp $(BINDIR)/compile_commands.json .
test-realesrgan:
LD_LIBRARY_PATH=$(BINDIR) $(BINDIR)/video2x -i data/standard-test.mp4 -o data/output.mp4 \
-f realesrgan -r 4 --model realesr-animevideov3
test-libplacebo:
LD_LIBRARY_PATH=$(BINDIR) $(BINDIR)/video2x -i data/standard-test.mp4 -o data/output.mp4 \
-f libplacebo -w 1920 -h 1080 -s anime4k-mode-a
leakcheck-realesrgan:
LD_LIBRARY_PATH=$(BINDIR) valgrind \
--tool=memcheck \
--leak-check=full \
--show-leak-kinds=all \
--track-origins=yes \
--show-reachable=yes \
--verbose --log-file="valgrind.log" \
$(BINDIR)/video2x \
-i data/standard-test.mp4 -o data/output.mp4 \
-f realesrgan -r 2 --model realesr-animevideov3 \
-p veryfast -b 1000000 -q 30
leakcheck-libplacebo:
LD_LIBRARY_PATH=$(BINDIR) valgrind \
--tool=memcheck \
--leak-check=full \
--show-leak-kinds=all \
--track-origins=yes \
--show-reachable=yes \
--verbose --log-file="valgrind.log" \
$(BINDIR)/video2x \
-i data/standard-test.mp4 -o data/output.mp4 \
-f libplacebo -w 1920 -h 1080 -s anime4k-mode-a \
-p veryfast -b 1000000 -q 30
clean:
rm -rf $(BINDIR)

48
NOTICE
View File

@ -1,47 +1,11 @@
Video2X
Copyright (C) 2018-2024 K4YT3X and contributors.
This product depends on FFmpeg, which is available under
the GNU Lesser General Public License 2.1. The source code can be found at
https://github.com/FFmpeg/FFmpeg.
This product depends on FFmpeg, which is available under the GNU Lesser General Public License 2.1.
The source code can be found at https://github.com/FFmpeg/FFmpeg.
This product depends on waifu2x-ncnn-vulkan, which is available under
the MIT License. The source code can be found at
https://github.com/nihui/waifu2x-ncnn-vulkan.
This product depends on Real-ESRGAN ncnn Vulkan, which is available under the MIT License.
The source code can be found at https://github.com/xinntao/Real-ESRGAN-ncnn-vulkan.
This product depends on srmd-ncnn-vulkan, which is available under
the MIT License. The source code can be found at
https://github.com/nihui/srmd-ncnn-vulkan.
This product depends on realsr-ncnn-vulkan, which is available under
the MIT License. The source code can be found at
https://github.com/nihui/realsr-ncnn-vulkan.
This product depends on rife-ncnn-vulkan, which is available under
the MIT License. The source code can be found at
https://github.com/nihui/rife-ncnn-vulkan.
This product depends on ffmpeg-python, which is available under
the Apache License Version 2.0. The source code can be found at
https://github.com/kkroening/ffmpeg-python.
This product depends on Loguru, which is available under
the MIT License. The source code can be found at
https://github.com/Delgan/loguru.
This product depends on opencv-python, which is available under
the MIT License. The source code can be found at
https://github.com/opencv/opencv-python.
This product depends on Pillow, which is available under
the Historical Permission Notice and Disclaimer. The source code
can be found at
https://github.com/python-pillow/Pillow.
This product depends on Rich, which is available under
the MIT License. The source code can be found at
https://github.com/Textualize/rich.
This product depends on pynput, which is available under
the GNU Lesser General Public License 3.0. The source code can be found at
https://github.com/moses-palmer/pynput.
This product depends on ncnn, which is available under the BSD 3-Clause License.
The source code can be found at https://github.com/Tencent/ncnn.

27
PKGBUILD Normal file
View File

@ -0,0 +1,27 @@
pkgname=video2x
pkgver=r862.f590ead
pkgrel=1
pkgdesc="A lossless video super resolution framework"
arch=('x86_64')
url="https://github.com/k4yt3x/video2x"
license=('AGPL3')
depends=('ffmpeg' 'ncnn' 'vulkan-driver')
makedepends=('git' 'cmake' 'make' 'clang' 'pkgconf' 'vulkan-headers' 'openmp')
pkgver() {
printf "r%s.%s" "$(git rev-list --count HEAD)" "$(git rev-parse --short HEAD)"
}
prepare() {
git submodule update --init --recursive
}
build() {
cmake -B build -S .. -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/usr
cmake --build build --config Release --parallel
}
package() {
DESTDIR="$pkgdir" cmake --install build
}

View File

@ -1,5 +1,5 @@
<p align="center">
<img src="https://user-images.githubusercontent.com/21986859/102733190-872a7880-4334-11eb-8e9e-0ca747f130b1.png"/>
<img src="https://github.com/user-attachments/assets/0c6c5d31-7fd5-4e50-b41e-91a58aae995c"/>
</br>
<img src="https://img.shields.io/github/v/release/k4yt3x/video2x?style=flat-square"/>
<img src="https://img.shields.io/github/actions/workflow/status/k4yt3x/video2x/ci.yml?label=CI&style=flat-square"/>
@ -8,22 +8,46 @@
<img src="https://img.shields.io/badge/dynamic/json?color=%23e85b46&label=Patreon&query=data.attributes.patron_count&suffix=%20patrons&url=https%3A%2F%2Fwww.patreon.com%2Fapi%2Fcampaigns%2F4507807&style=flat-square"/>
</p>
## 🌟 Version 6.0.0 Preview
Version 6.0.0 is a complete rewrite of this project in C/C++. It:
- actually works, with less pain;
- is blazing fast, thanks to the redesigned efficient pipeline and the speed of C/C++;
- is cross-platform, available right now for both Windows and Linux;
- supports Anime4K v4 and all other custom MPV-compatible GLSL shaders;
- supports RealESRGAN (all three models) via ncnn and Vulkan;
- requires 0 disk space for processing the video, just space for storing the final output; and
- exports a standard C function that can be easily integrated in your own projects!
These are available for download now:
- 6.0.0 beta CLI preview builds for Windows and Linux are on the [releases page](https://github.com/k4yt3x/video2x/releases).
- You will need to install the dependencies and set `LD_LIBRARY_PATH` for the Linux build to work. Refer to the [PKGBUILD](PKGBUILD) file to see what needs to be installed.
- Alternatively, you can build it from source. Take a look at the [Makefile](Makefile).
- 6.0.0 beta AUR package for Arch Linux (`video2x-git`).
- 6.0.0 beta [container image](https://github.com/k4yt3x/video2x/pkgs/container/video2x).
- A GUI for 6.0.0 is in the making. More information about it will be available soon.
There is still much to be done and optimize. Stay tuned for more updates. As for why the 5.0.0 branch was abandoned, here are some of the reasons:
- Wrapped C++ libraries for Python is too painful to build for cross-platform distribution.
- Some wrapped C++ libraires exhibited unexpected behaviors.
- Running FFmpeg via commands and piping data through stdin/stdout are inefficient.
- C/C++ native binaries are much smaller and much more efficient.
## [💬 Telegram Discussion Group](https://t.me/video2x)
Join our Telegram discussion group to ask any questions you have about Video2X, chat directly with the developers, or discuss about upscaling technologies and the future of Video2X in general.
Join our Telegram discussion group to ask any questions you have about Video2X, chat directly with the developers, or discuss about super resolution technologies and the future of Video2X in general.
## [🪟 Download Windows Releases](https://github.com/k4yt3x/video2x/releases/tag/4.8.1)
The latest Windows update is built based on version 4.8.1. GUI is not available for 5.0.0 yet, but is already under development. Go to the [GUI](https://github.com/k4yt3x/video2x/wiki/GUI) page to see the basic usages of the GUI. Try the [mirror](https://files.k4yt3x.com/Projects/Video2X/latest) if you can't download releases directly from GitHub.
The latest Windows update is built based on version 4.8.1. GUI is not available for 6.0.0 yet, but is already under development. Go to the [GUI](https://github.com/k4yt3x/video2x/wiki/GUI) page to see the basic usages of the GUI. Try the [mirror](https://files.k4yt3x.com/Projects/Video2X/latest) if you can't download releases directly from GitHub.
## [📔 Google Colab](https://colab.research.google.com/drive/1gWEwcA9y57EsxwOjmLNmNMXPsafw0kGo)
You can use Video2X on [Google Colab](https://colab.research.google.com/) **for free** if you don't have a powerful GPU of your own. You can borrow a powerful GPU (Tesla K80, T4, P4, or P100) on Google's server for free for a maximum of 12 hours per session. **Please use the free resource fairly** and do not create sessions back-to-back and run upscaling 24/7. This might result in you getting banned. You can get [Colab Pro/Pro+](https://colab.research.google.com/signup/pricing) if you'd like to use better GPUs and get longer runtimes. Usage instructions are embedded in the [Colab Notebook](https://colab.research.google.com/drive/1gWEwcA9y57EsxwOjmLNmNMXPsafw0kGo).
## [🌙 Download Nightly Releases](https://github.com/k4yt3x/video2x/actions/workflows/ci.yml)
Nightly releases are automatically created by the GitHub Actions CI/CD pipelines. They usually contain more experimental features and bug fixes. However, they are much less stable to the stable releases. **You must log in to GitHub to download CI build artifacts.**
## [📦 Container Image](https://github.com/k4yt3x/video2x/pkgs/container/video2x)
Video2X container images are available on the GitHub Container Registry for easy deployment on Linux and macOS. If you already have Docker/Podman installed, only one command is needed to start upscaling a video. For more information on how to use Video2X's Docker image, please refer to the [documentations](https://github.com/K4YT3X/video2x/wiki/Container).
@ -51,24 +75,13 @@ _Upscale demo: Spirited Away's movie trailer_
- 240P to 1080P 60FPS
- The original video's copyright belongs to ASCII Media Works
### GIF Upscaling
![catfru](https://user-images.githubusercontent.com/21986859/81631069-96d4fc80-93f6-11ea-92fb-33d6545055e7.gif)
![catfru4x](https://user-images.githubusercontent.com/21986859/81631070-976d9300-93f6-11ea-9137-072a3b386110.gif)\
_Catfru scaled up to 4x its original size using waifu2x [(original image)](https://gfycat.com/craftyeasygoingankole-capoo-bug-cat)_
### Image Upscaling
![Jill Comparison](https://user-images.githubusercontent.com/21986859/81631903-79a12d80-93f8-11ea-9c3c-f340240cf08c.png)\
_Image 8x upscaling demo ([original image](https://72915.tumblr.com/post/173793265673) by [nananicu](https://twitter.com/nananicu))_
### Standard Test Clip
The following clip can be used to test if your setup works properly. This is also the standard clip used for running performance benchmarks.
- [Standard Test Clip (240P)](https://files.k4yt3x.com/Resources/Videos/standard-test.mp4) 4.54 MiB
- [waifu2x Upscaled Sample (1080P)](https://files.k4yt3x.com/Resources/Videos/standard-waifu2x.mp4) 4.54 MiB
- [Original Ground Truth (1080P)](https://files.k4yt3x.com/Resources/Videos/standard-original.mp4) 22.2 MiB
- [Ground Truth (1080P)](https://files.k4yt3x.com/Resources/Videos/standard-original.mp4) 22.2 MiB
The original clip came from the anime "さくら荘のペットな彼女."\
Copyright of this clip belongs to 株式会社アニプレックス.
@ -83,43 +96,24 @@ Copyright (C) 2018-2024 K4YT3X and contributors.
This project includes or depends on these following projects:
| Project | License |
| ----------------------------------------------------------------------- | --------------- |
| [FFmpeg](https://www.ffmpeg.org/) | LGPLv2.1, GPLv2 |
| [waifu2x-ncnn-vulkan](https://github.com/nihui/waifu2x-ncnn-vulkan) | MIT License |
| [srmd-ncnn-vulkan](https://github.com/nihui/srmd-ncnn-vulkan) | MIT License |
| [realsr-ncnn-vulkan](https://github.com/nihui/realsr-ncnn-vulkan) | MIT License |
| [rife-ncnn-vulkan](https://github.com/nihui/rife-ncnn-vulkan) | MIT License |
| [realcugan-ncnn-vulkan](https://github.com/nihui/realcugan-ncnn-vulkan) | MIT License |
| ----------------------------------------------------------------------------- | --------------- |
| [Anime4K](https://github.com/bloc97/Anime4K) | MIT License |
| [ffmpeg-python](https://github.com/kkroening/ffmpeg-python) | Apache-2.0 |
| [Loguru](https://github.com/Delgan/loguru) | MIT License |
| [opencv-python](https://github.com/opencv/opencv-python) | MIT License |
| [Pillow](https://github.com/python-pillow/Pillow) | HPND License |
| [Rich](https://github.com/Textualize/rich) | MIT License |
| [pynput](https://github.com/moses-palmer/pynput) | LGPLv3.0 |
| [FFmpeg](https://www.ffmpeg.org/) | LGPLv2.1, GPLv2 |
| [Real-ESRGAN ncnn Vulkan](https://github.com/xinntao/Real-ESRGAN-ncnn-vulkan) | MIT License |
| [ncnn](https://github.com/Tencent/ncnn) | BSD 3-Clause |
Legacy versions of this project includes or depends on these following projects:
| Project | License |
| --------------------------------------------------------------------------- | -------------------- |
| [waifu2x-caffe](https://github.com/lltcggie/waifu2x-caffe) | MIT License |
| [waifu2x-converter-cpp](https://github.com/DeadSix27/waifu2x-converter-cpp) | MIT License |
| [Anime4KCPP](https://github.com/TianZerL/Anime4KCPP) | MIT License |
| [Gifski](https://github.com/ImageOptim/gifski) | AGPLv3 |
| [tqdm](https://github.com/tqdm/tqdm) | MPLv2.0, MIT License |
More licensing information can be found in the [NOTICES](NOTICES) file.
More licensing information can be found in the [NOTICE](NOTICE) file.
## Special Thanks
Appreciations given to the following personnel who have contributed significantly to the project.
Appreciations are given to the following personnel who have contributed significantly to the project.
- [@ArchieMeng](https://github.com/archiemeng)
- [@BrianPetkovsek](https://github.com/BrianPetkovsek)
- [@sat3ll](https://github.com/sat3ll)
- [@ddouglas87](https://github.com/ddouglas87)
- [@lhanjian](https://github.com/lhanjian)
- [@ArchieMeng](https://github.com/archiemeng)
- [@nihui](https://github.com/nihui)
- [@sat3ll](https://github.com/sat3ll)
## Similar Projects

View File

@ -1,10 +0,0 @@
#!/bin/sh
set -euxo pipefail
sudo podman run \
-it --rm --gpus all -v /dev/dri:/dev/dri \
-v $PWD/data:/host \
ghcr.io/k4yt3x/video2x:5.0.0-beta4-cuda \
-i input.mp4 -o output.mp4 \
interpolate

View File

@ -1,11 +0,0 @@
#!/bin/sh
set -euxo pipefail
sudo podman run \
-it --rm --gpus all -v /dev/dri:/dev/dri \
-v $PWD/data:/host \
ghcr.io/k4yt3x/video2x:5.0.0-beta4-cuda \
-i input.mp4 -o output.mp4 \
-p5 upscale \
-h 720 -a waifu2x -n3

View File

@ -1,21 +0,0 @@
#!/usr/bin/python
# -*- coding: utf-8 -*-
# built-in imports
import pathlib
# import video2x
from video2x import Video2X
# create video2x object
video2x = Video2X()
# run upscale
# fmt: off
video2x.interpolate(
pathlib.Path("input.mp4"), # input video path
pathlib.Path("output.mp4"), # another
3, # processes: number of parallel processors
10, # threshold: adjacent frames with > n% diff won't be processed (100 == process all)
"rife", # algorithm: the algorithm to use to process the video
)

View File

@ -1,24 +0,0 @@
#!/usr/bin/python
# -*- coding: utf-8 -*-
# built-in imports
import pathlib
# import video2x
from video2x import Video2X
# create video2x object
video2x = Video2X()
# run upscale
# fmt: off
video2x.upscale(
pathlib.Path("input.mp4"), # input video path
pathlib.Path("output.mp4"), # another
None, # width: width of output, None == auto
720, # height: height of output, None == auto
3, # noise: noise level, algorithm-dependent
5, # processes: number of parallel processors
0, # threshold: adjacent frames with < n% diff won't be processed (0 == process all)
"waifu2x", # algorithm: the algorithm to use to process the video
)

16
include/conversions.h Normal file
View File

@ -0,0 +1,16 @@
#ifndef CONVERSIONS_H
#define CONVERSIONS_H
#include <libavutil/frame.h>
#include <mat.h>
// Convert AVFrame to another pixel format
AVFrame *convert_avframe_pix_fmt(AVFrame *src_frame, AVPixelFormat pix_fmt);
// Convert AVFrame to ncnn::Mat
ncnn::Mat avframe_to_ncnn_mat(AVFrame *frame);
// Convert ncnn::Mat to AVFrame
AVFrame *ncnn_mat_to_avframe(const ncnn::Mat &mat, AVPixelFormat pix_fmt);
#endif // CONVERSIONS_H

15
include/decoder.h Normal file
View File

@ -0,0 +1,15 @@
#ifndef DECODER_H
#define DECODER_H
#include <libavcodec/avcodec.h>
#include <libavfilter/avfilter.h>
#include <libavformat/avformat.h>
int init_decoder(
const char *input_filename,
AVFormatContext **fmt_ctx,
AVCodecContext **dec_ctx,
int *video_stream_index
);
#endif // DECODER_H

21
include/encoder.h Normal file
View File

@ -0,0 +1,21 @@
#ifndef ENCODER_H
#define ENCODER_H
#include <libavcodec/avcodec.h>
#include <libavformat/avformat.h>
#include "libvideo2x.h"
int init_encoder(
const char *output_filename,
AVFormatContext **ofmt_ctx,
AVCodecContext **enc_ctx,
AVCodecContext *dec_ctx,
EncoderConfig *encoder_config
);
int encode_and_write_frame(AVFrame *frame, AVCodecContext *enc_ctx, AVFormatContext *ofmt_ctx);
int flush_encoder(AVCodecContext *enc_ctx, AVFormatContext *ofmt_ctx);
#endif // ENCODER_H

20
include/filter.h Normal file
View File

@ -0,0 +1,20 @@
#ifndef FILTER_H
#define FILTER_H
#include <vector>
extern "C" {
#include <libavcodec/avcodec.h>
#include <libavfilter/avfilter.h>
}
// Abstract base class for filters
class Filter {
public:
virtual ~Filter() {}
virtual int init(AVCodecContext *dec_ctx, AVCodecContext *enc_ctx) = 0;
virtual AVFrame *process_frame(AVFrame *input_frame) = 0;
virtual int flush(std::vector<AVFrame *> &processed_frames) = 0;
};
#endif // FILTER_H

12
include/fsutils.h Normal file
View File

@ -0,0 +1,12 @@
#ifndef FSUTILS_H
#define FSUTILS_H
#include <filesystem>
bool filepath_is_readable(const std::filesystem::path &path);
std::filesystem::path find_resource_file(const std::filesystem::path &path);
std::string path_to_string(const std::filesystem::path& path);
#endif // FSUTILS_H

32
include/getopt.h Normal file
View File

@ -0,0 +1,32 @@
#ifndef __GETOPT_H__
#define __GETOPT_H__
#ifdef __cplusplus
extern "C" {
#endif
extern int opterr; /* if error message should be printed */
extern int optind; /* index into parent argv vector */
extern int optopt; /* character checked for validity */
extern int optreset; /* reset getopt */
extern char *optarg; /* argument associated with option */
struct option {
const char *name;
int has_arg;
int *flag;
int val;
};
#define no_argument 0
#define required_argument 1
#define optional_argument 2
int getopt(int, char **, const char *);
int getopt_long(int, char **, const char *, const struct option *, int *);
#ifdef __cplusplus
}
#endif
#endif /* __GETOPT_H__ */

21
include/libplacebo.h Normal file
View File

@ -0,0 +1,21 @@
#ifndef PLACEBO_H
#define PLACEBO_H
#include <filesystem>
#include <libavcodec/avcodec.h>
#include <libavfilter/avfilter.h>
#include <libavutil/buffer.h>
int init_libplacebo(
AVFilterGraph **filter_graph,
AVFilterContext **buffersrc_ctx,
AVFilterContext **buffersink_ctx,
AVBufferRef **device_ctx,
AVCodecContext *dec_ctx,
int output_width,
int output_height,
const std::filesystem::path &shader_path
);
#endif // PLACEBO_H

View File

@ -0,0 +1,39 @@
#ifndef LIBPLACEBO_FILTER_H
#define LIBPLACEBO_FILTER_H
#include <filesystem>
#include <libavutil/buffer.h>
#include "filter.h"
// LibplaceboFilter class definition
class LibplaceboFilter : public Filter {
private:
AVFilterGraph *filter_graph;
AVFilterContext *buffersrc_ctx;
AVFilterContext *buffersink_ctx;
AVBufferRef *device_ctx;
int output_width;
int output_height;
const std::filesystem::path shader_path;
AVRational output_time_base;
public:
// Constructor
LibplaceboFilter(int width, int height, const std::filesystem::path &shader_path);
// Destructor
virtual ~LibplaceboFilter();
// Initializes the filter with decoder and encoder contexts
int init(AVCodecContext *dec_ctx, AVCodecContext *enc_ctx) override;
// Processes an input frame and returns the processed frame
AVFrame *process_frame(AVFrame *input_frame) override;
// Flushes any remaining frames
int flush(std::vector<AVFrame *> &processed_frames) override;
};
#endif // LIBPLACEBO_FILTER_H

86
include/libvideo2x.h Normal file
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#ifndef LIBVIDEO2X_H
#define LIBVIDEO2X_H
#include <libavutil/pixfmt.h>
#include <stdint.h>
#include <time.h>
#include <libavcodec/avcodec.h>
#include <libavcodec/codec_id.h>
#ifdef _WIN32
#ifdef LIBVIDEO2X_EXPORTS
#define LIBVIDEO2X_API __declspec(dllexport)
#else
#define LIBVIDEO2X_API __declspec(dllimport)
#endif
#else
#define LIBVIDEO2X_API
#endif
#ifdef __cplusplus
extern "C" {
#endif
// Enum to specify filter type
enum FilterType {
FILTER_LIBPLACEBO,
FILTER_REALESRGAN
};
// Configuration for Libplacebo filter
struct LibplaceboConfig {
int output_width;
int output_height;
const char *shader_path;
};
// Configuration for RealESRGAN filter
struct RealESRGANConfig {
int gpuid;
int tta_mode;
int scaling_factor;
const char *model;
};
// Unified filter configuration
struct FilterConfig {
enum FilterType filter_type;
union {
struct LibplaceboConfig libplacebo;
struct RealESRGANConfig realesrgan;
} config;
};
// Encoder configuration
struct EncoderConfig {
int output_width;
int output_height;
enum AVCodecID codec;
enum AVPixelFormat pix_fmt;
const char *preset;
int64_t bit_rate;
float crf;
};
// Processing status
struct ProcessingStatus {
int64_t processed_frames;
int64_t total_frames;
time_t start_time;
};
// C-compatible process_video function
LIBVIDEO2X_API int process_video(
const char *input_filename,
const char *output_filename,
const struct FilterConfig *filter_config,
struct EncoderConfig *encoder_config,
struct ProcessingStatus *status
);
#ifdef __cplusplus
}
#endif
#endif // LIBVIDEO2X_H

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#ifndef REALSRGAN_FILTER_H
#define REALSRGAN_FILTER_H
#include <filesystem>
#include "filter.h"
#include "realesrgan.h"
// RealesrganFilter class definition
class RealesrganFilter : public Filter {
private:
RealESRGAN *realesrgan;
int gpuid;
bool tta_mode;
int scaling_factor;
const char *model;
const std::filesystem::path custom_model_param_path;
const std::filesystem::path custom_model_bin_path;
AVRational input_time_base;
AVRational output_time_base;
AVPixelFormat output_pix_fmt;
public:
// Constructor
RealesrganFilter(
int gpuid = 0,
bool tta_mode = false,
int scaling_factor = 4,
const char *model = "realesr-animevideov3",
const std::filesystem::path custom_model_bin_pathmodel_param_path = std::filesystem::path(),
const std::filesystem::path custom_model_bin_pathmodel_bin_path = std::filesystem::path()
);
// Destructor
virtual ~RealesrganFilter();
// Initializes the filter with decoder and encoder contexts
int init(AVCodecContext *dec_ctx, AVCodecContext *enc_ctx) override;
// Processes an input frame and returns the processed frame
AVFrame *process_frame(AVFrame *input_frame) override;
// Flushes any remaining frames (if necessary)
int flush(std::vector<AVFrame *> &processed_frames) override;
};
#endif

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The Python Imaging Library (PIL) is
Copyright © 1997-2011 by Secret Labs AB
Copyright © 1995-2011 by Fredrik Lundh
Pillow is the friendly PIL fork. It is
Copyright © 2010-2022 by Alex Clark and contributors
Like PIL, Pillow is licensed under the open source HPND License:
By obtaining, using, and/or copying this software and/or its associated
documentation, you agree that you have read, understood, and will comply
with the following terms and conditions:
Permission to use, copy, modify, and distribute this software and its
associated documentation for any purpose and without fee is hereby granted,
provided that the above copyright notice appears in all copies, and that
both that copyright notice and this permission notice appear in supporting
documentation, and that the name of Secret Labs AB or the author not be
used in advertising or publicity pertaining to distribution of the software
without specific, written prior permission.
SECRET LABS AB AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS
SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS.
IN NO EVENT SHALL SECRET LABS AB OR THE AUTHOR BE LIABLE FOR ANY SPECIAL,
INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE
OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
PERFORMANCE OF THIS SOFTWARE.

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MIT License
Copyright (c) Olli-Pekka Heinisuo
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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The MIT License (MIT)
Copyright (c) 2019 nihui
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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The MIT License (MIT)
Copyright (c) 2019 nihui
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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The MIT License (MIT)
Copyright (c) 2019 nihui
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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@ -1,21 +0,0 @@
The MIT License (MIT)
Copyright (c) 2019 nihui
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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@ -1,21 +0,0 @@
The MIT License (MIT)
Copyright (c) 2019 nihui
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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GNU AFFERO GENERAL PUBLIC LICENSE
Version 3, 19 November 2007
Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
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7767517
41 42
Input input.1 0 1 data
Split splitncnn_input0 1 2 data input.1_splitncnn_0 input.1_splitncnn_1
Convolution Conv_0 1 1 input.1_splitncnn_1 54 0=64 1=3 4=1 5=1 6=1728
PReLU PRelu_1 1 1 54 56 0=64
Convolution Conv_2 1 1 56 57 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_3 1 1 57 59 0=64
Convolution Conv_4 1 1 59 60 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_5 1 1 60 62 0=64
Convolution Conv_6 1 1 62 63 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_7 1 1 63 65 0=64
Convolution Conv_8 1 1 65 66 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_9 1 1 66 68 0=64
Convolution Conv_10 1 1 68 69 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_11 1 1 69 71 0=64
Convolution Conv_12 1 1 71 72 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_13 1 1 72 74 0=64
Convolution Conv_14 1 1 74 75 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_15 1 1 75 77 0=64
Convolution Conv_16 1 1 77 78 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_17 1 1 78 80 0=64
Convolution Conv_18 1 1 80 81 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_19 1 1 81 83 0=64
Convolution Conv_20 1 1 83 84 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_21 1 1 84 86 0=64
Convolution Conv_22 1 1 86 87 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_23 1 1 87 89 0=64
Convolution Conv_24 1 1 89 90 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_25 1 1 90 92 0=64
Convolution Conv_26 1 1 92 93 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_27 1 1 93 95 0=64
Convolution Conv_28 1 1 95 96 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_29 1 1 96 98 0=64
Convolution Conv_30 1 1 98 99 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_31 1 1 99 101 0=64
Convolution Conv_32 1 1 101 102 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_33 1 1 102 104 0=64
Convolution Conv_34 1 1 104 105 0=48 1=3 4=1 5=1 6=27648
PixelShuffle DepthToSpace_35 1 1 105 106 0=4
Interp Resize_37 1 1 input.1_splitncnn_0 111 0=1 1=4.000000e+00 2=4.000000e+00
BinaryOp Add_38 2 1 106 111 112
Interp Resize_40 1 1 112 output 0=3 1=5.000000e-01 2=5.000000e-01

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7767517
41 42
Input input.1 0 1 data
Split splitncnn_input0 1 2 data input.1_splitncnn_0 input.1_splitncnn_1
Convolution Conv_0 1 1 input.1_splitncnn_1 54 0=64 1=3 4=1 5=1 6=1728
PReLU PRelu_1 1 1 54 56 0=64
Convolution Conv_2 1 1 56 57 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_3 1 1 57 59 0=64
Convolution Conv_4 1 1 59 60 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_5 1 1 60 62 0=64
Convolution Conv_6 1 1 62 63 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_7 1 1 63 65 0=64
Convolution Conv_8 1 1 65 66 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_9 1 1 66 68 0=64
Convolution Conv_10 1 1 68 69 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_11 1 1 69 71 0=64
Convolution Conv_12 1 1 71 72 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_13 1 1 72 74 0=64
Convolution Conv_14 1 1 74 75 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_15 1 1 75 77 0=64
Convolution Conv_16 1 1 77 78 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_17 1 1 78 80 0=64
Convolution Conv_18 1 1 80 81 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_19 1 1 81 83 0=64
Convolution Conv_20 1 1 83 84 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_21 1 1 84 86 0=64
Convolution Conv_22 1 1 86 87 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_23 1 1 87 89 0=64
Convolution Conv_24 1 1 89 90 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_25 1 1 90 92 0=64
Convolution Conv_26 1 1 92 93 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_27 1 1 93 95 0=64
Convolution Conv_28 1 1 95 96 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_29 1 1 96 98 0=64
Convolution Conv_30 1 1 98 99 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_31 1 1 99 101 0=64
Convolution Conv_32 1 1 101 102 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_33 1 1 102 104 0=64
Convolution Conv_34 1 1 104 105 0=48 1=3 4=1 5=1 6=27648
PixelShuffle DepthToSpace_35 1 1 105 106 0=4
Interp Resize_37 1 1 input.1_splitncnn_0 111 0=1 1=4.000000e+00 2=4.000000e+00
BinaryOp Add_38 2 1 106 111 112
Interp Resize_40 1 1 112 output 0=3 1=7.500000e-01 2=7.500000e-01

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40 41
Input input.1 0 1 data
Split splitncnn_input0 1 2 data input.1_splitncnn_0 input.1_splitncnn_1
Convolution Conv_0 1 1 input.1_splitncnn_1 54 0=64 1=3 4=1 5=1 6=1728
PReLU PRelu_1 1 1 54 56 0=64
Convolution Conv_2 1 1 56 57 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_3 1 1 57 59 0=64
Convolution Conv_4 1 1 59 60 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_5 1 1 60 62 0=64
Convolution Conv_6 1 1 62 63 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_7 1 1 63 65 0=64
Convolution Conv_8 1 1 65 66 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_9 1 1 66 68 0=64
Convolution Conv_10 1 1 68 69 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_11 1 1 69 71 0=64
Convolution Conv_12 1 1 71 72 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_13 1 1 72 74 0=64
Convolution Conv_14 1 1 74 75 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_15 1 1 75 77 0=64
Convolution Conv_16 1 1 77 78 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_17 1 1 78 80 0=64
Convolution Conv_18 1 1 80 81 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_19 1 1 81 83 0=64
Convolution Conv_20 1 1 83 84 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_21 1 1 84 86 0=64
Convolution Conv_22 1 1 86 87 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_23 1 1 87 89 0=64
Convolution Conv_24 1 1 89 90 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_25 1 1 90 92 0=64
Convolution Conv_26 1 1 92 93 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_27 1 1 93 95 0=64
Convolution Conv_28 1 1 95 96 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_29 1 1 96 98 0=64
Convolution Conv_30 1 1 98 99 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_31 1 1 99 101 0=64
Convolution Conv_32 1 1 101 102 0=64 1=3 4=1 5=1 6=36864
PReLU PRelu_33 1 1 102 104 0=64
Convolution Conv_34 1 1 104 105 0=48 1=3 4=1 5=1 6=27648
PixelShuffle DepthToSpace_35 1 1 105 106 0=4
Interp Resize_37 1 1 input.1_splitncnn_0 111 0=1 1=4.000000e+00 2=4.000000e+00
BinaryOp Add_38 2 1 106 111 output

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7767517
268 473
Input input.1 0 1 data
Convolution Conv_0 1 1 data 193 0=64 1=3 4=1 5=1 6=1728
Split splitncnn_0 1 8 193 193_splitncnn_0 193_splitncnn_1 193_splitncnn_2 193_splitncnn_3 193_splitncnn_4 193_splitncnn_5 193_splitncnn_6 193_splitncnn_7
Convolution Conv_1 1 1 193_splitncnn_7 195 0=32 1=3 4=1 5=1 6=18432 9=2 -23310=1,2.000000e-01
Split splitncnn_1 1 4 195 195_splitncnn_0 195_splitncnn_1 195_splitncnn_2 195_splitncnn_3
Concat Concat_3 2 1 193_splitncnn_6 195_splitncnn_3 196
Convolution Conv_4 1 1 196 198 0=32 1=3 4=1 5=1 6=27648 9=2 -23310=1,2.000000e-01
Split splitncnn_2 1 3 198 198_splitncnn_0 198_splitncnn_1 198_splitncnn_2
Concat Concat_6 3 1 193_splitncnn_5 195_splitncnn_2 198_splitncnn_2 199
Convolution Conv_7 1 1 199 201 0=32 1=3 4=1 5=1 6=36864 9=2 -23310=1,2.000000e-01
Split splitncnn_3 1 2 201 201_splitncnn_0 201_splitncnn_1
Concat Concat_9 4 1 193_splitncnn_4 195_splitncnn_1 198_splitncnn_1 201_splitncnn_1 202
Convolution Conv_10 1 1 202 204 0=32 1=3 4=1 5=1 6=46080 9=2 -23310=1,2.000000e-01
Concat Concat_12 5 1 193_splitncnn_3 195_splitncnn_0 198_splitncnn_0 201_splitncnn_0 204 205
Convolution Conv_13 1 1 205 206 0=64 1=3 4=1 5=1 6=110592
Eltwise Add_16 2 1 206 193_splitncnn_2 209 0=1 -23301=2,2.000000e-01,1.000000e+00
Split splitncnn_4 1 6 209 209_splitncnn_0 209_splitncnn_1 209_splitncnn_2 209_splitncnn_3 209_splitncnn_4 209_splitncnn_5
Convolution Conv_17 1 1 209_splitncnn_5 211 0=32 1=3 4=1 5=1 6=18432 9=2 -23310=1,2.000000e-01
Split splitncnn_5 1 4 211 211_splitncnn_0 211_splitncnn_1 211_splitncnn_2 211_splitncnn_3
Concat Concat_19 2 1 209_splitncnn_4 211_splitncnn_3 212
Convolution Conv_20 1 1 212 214 0=32 1=3 4=1 5=1 6=27648 9=2 -23310=1,2.000000e-01
Split splitncnn_6 1 3 214 214_splitncnn_0 214_splitncnn_1 214_splitncnn_2
Concat Concat_22 3 1 209_splitncnn_3 211_splitncnn_2 214_splitncnn_2 215
Convolution Conv_23 1 1 215 217 0=32 1=3 4=1 5=1 6=36864 9=2 -23310=1,2.000000e-01
Split splitncnn_7 1 2 217 217_splitncnn_0 217_splitncnn_1
Concat Concat_25 4 1 209_splitncnn_2 211_splitncnn_1 214_splitncnn_1 217_splitncnn_1 218
Convolution Conv_26 1 1 218 220 0=32 1=3 4=1 5=1 6=46080 9=2 -23310=1,2.000000e-01
Concat Concat_28 5 1 209_splitncnn_1 211_splitncnn_0 214_splitncnn_0 217_splitncnn_0 220 221
Convolution Conv_29 1 1 221 222 0=64 1=3 4=1 5=1 6=110592
Eltwise Add_32 2 1 222 209_splitncnn_0 225 0=1 -23301=2,2.000000e-01,1.000000e+00
Split splitncnn_8 1 6 225 225_splitncnn_0 225_splitncnn_1 225_splitncnn_2 225_splitncnn_3 225_splitncnn_4 225_splitncnn_5
Convolution Conv_33 1 1 225_splitncnn_5 227 0=32 1=3 4=1 5=1 6=18432 9=2 -23310=1,2.000000e-01
Split splitncnn_9 1 4 227 227_splitncnn_0 227_splitncnn_1 227_splitncnn_2 227_splitncnn_3
Concat Concat_35 2 1 225_splitncnn_4 227_splitncnn_3 228
Convolution Conv_36 1 1 228 230 0=32 1=3 4=1 5=1 6=27648 9=2 -23310=1,2.000000e-01
Split splitncnn_10 1 3 230 230_splitncnn_0 230_splitncnn_1 230_splitncnn_2
Concat Concat_38 3 1 225_splitncnn_3 227_splitncnn_2 230_splitncnn_2 231
Convolution Conv_39 1 1 231 233 0=32 1=3 4=1 5=1 6=36864 9=2 -23310=1,2.000000e-01
Split splitncnn_11 1 2 233 233_splitncnn_0 233_splitncnn_1
Concat Concat_41 4 1 225_splitncnn_2 227_splitncnn_1 230_splitncnn_1 233_splitncnn_1 234
Convolution Conv_42 1 1 234 236 0=32 1=3 4=1 5=1 6=46080 9=2 -23310=1,2.000000e-01
Concat Concat_44 5 1 225_splitncnn_1 227_splitncnn_0 230_splitncnn_0 233_splitncnn_0 236 237
Convolution Conv_45 1 1 237 238 0=64 1=3 4=1 5=1 6=110592
Eltwise Add_48 2 1 238 225_splitncnn_0 241 0=1 -23301=2,2.000000e-01,1.000000e+00
Eltwise Add_51 2 1 241 193_splitncnn_1 244 0=1 -23301=2,2.000000e-01,1.000000e+00
Split splitncnn_12 1 7 244 244_splitncnn_0 244_splitncnn_1 244_splitncnn_2 244_splitncnn_3 244_splitncnn_4 244_splitncnn_5 244_splitncnn_6
Convolution Conv_52 1 1 244_splitncnn_6 246 0=32 1=3 4=1 5=1 6=18432 9=2 -23310=1,2.000000e-01
Split splitncnn_13 1 4 246 246_splitncnn_0 246_splitncnn_1 246_splitncnn_2 246_splitncnn_3
Concat Concat_54 2 1 244_splitncnn_5 246_splitncnn_3 247
Convolution Conv_55 1 1 247 249 0=32 1=3 4=1 5=1 6=27648 9=2 -23310=1,2.000000e-01
Split splitncnn_14 1 3 249 249_splitncnn_0 249_splitncnn_1 249_splitncnn_2
Concat Concat_57 3 1 244_splitncnn_4 246_splitncnn_2 249_splitncnn_2 250
Convolution Conv_58 1 1 250 252 0=32 1=3 4=1 5=1 6=36864 9=2 -23310=1,2.000000e-01
Split splitncnn_15 1 2 252 252_splitncnn_0 252_splitncnn_1
Concat Concat_60 4 1 244_splitncnn_3 246_splitncnn_1 249_splitncnn_1 252_splitncnn_1 253
Convolution Conv_61 1 1 253 255 0=32 1=3 4=1 5=1 6=46080 9=2 -23310=1,2.000000e-01
Concat Concat_63 5 1 244_splitncnn_2 246_splitncnn_0 249_splitncnn_0 252_splitncnn_0 255 256
Convolution Conv_64 1 1 256 257 0=64 1=3 4=1 5=1 6=110592
Eltwise Add_67 2 1 257 244_splitncnn_1 260 0=1 -23301=2,2.000000e-01,1.000000e+00
Split splitncnn_16 1 6 260 260_splitncnn_0 260_splitncnn_1 260_splitncnn_2 260_splitncnn_3 260_splitncnn_4 260_splitncnn_5
Convolution Conv_68 1 1 260_splitncnn_5 262 0=32 1=3 4=1 5=1 6=18432 9=2 -23310=1,2.000000e-01
Split splitncnn_17 1 4 262 262_splitncnn_0 262_splitncnn_1 262_splitncnn_2 262_splitncnn_3
Concat Concat_70 2 1 260_splitncnn_4 262_splitncnn_3 263
Convolution Conv_71 1 1 263 265 0=32 1=3 4=1 5=1 6=27648 9=2 -23310=1,2.000000e-01
Split splitncnn_18 1 3 265 265_splitncnn_0 265_splitncnn_1 265_splitncnn_2
Concat Concat_73 3 1 260_splitncnn_3 262_splitncnn_2 265_splitncnn_2 266
Convolution Conv_74 1 1 266 268 0=32 1=3 4=1 5=1 6=36864 9=2 -23310=1,2.000000e-01
Split splitncnn_19 1 2 268 268_splitncnn_0 268_splitncnn_1
Concat Concat_76 4 1 260_splitncnn_2 262_splitncnn_1 265_splitncnn_1 268_splitncnn_1 269
Convolution Conv_77 1 1 269 271 0=32 1=3 4=1 5=1 6=46080 9=2 -23310=1,2.000000e-01
Concat Concat_79 5 1 260_splitncnn_1 262_splitncnn_0 265_splitncnn_0 268_splitncnn_0 271 272
Convolution Conv_80 1 1 272 273 0=64 1=3 4=1 5=1 6=110592
Eltwise Add_83 2 1 273 260_splitncnn_0 276 0=1 -23301=2,2.000000e-01,1.000000e+00
Split splitncnn_20 1 6 276 276_splitncnn_0 276_splitncnn_1 276_splitncnn_2 276_splitncnn_3 276_splitncnn_4 276_splitncnn_5
Convolution Conv_84 1 1 276_splitncnn_5 278 0=32 1=3 4=1 5=1 6=18432 9=2 -23310=1,2.000000e-01
Split splitncnn_21 1 4 278 278_splitncnn_0 278_splitncnn_1 278_splitncnn_2 278_splitncnn_3
Concat Concat_86 2 1 276_splitncnn_4 278_splitncnn_3 279
Convolution Conv_87 1 1 279 281 0=32 1=3 4=1 5=1 6=27648 9=2 -23310=1,2.000000e-01
Split splitncnn_22 1 3 281 281_splitncnn_0 281_splitncnn_1 281_splitncnn_2
Concat Concat_89 3 1 276_splitncnn_3 278_splitncnn_2 281_splitncnn_2 282
Convolution Conv_90 1 1 282 284 0=32 1=3 4=1 5=1 6=36864 9=2 -23310=1,2.000000e-01
Split splitncnn_23 1 2 284 284_splitncnn_0 284_splitncnn_1
Concat Concat_92 4 1 276_splitncnn_2 278_splitncnn_1 281_splitncnn_1 284_splitncnn_1 285
Convolution Conv_93 1 1 285 287 0=32 1=3 4=1 5=1 6=46080 9=2 -23310=1,2.000000e-01
Concat Concat_95 5 1 276_splitncnn_1 278_splitncnn_0 281_splitncnn_0 284_splitncnn_0 287 288
Convolution Conv_96 1 1 288 289 0=64 1=3 4=1 5=1 6=110592
Eltwise Add_99 2 1 289 276_splitncnn_0 292 0=1 -23301=2,2.000000e-01,1.000000e+00
Eltwise Add_102 2 1 292 244_splitncnn_0 295 0=1 -23301=2,2.000000e-01,1.000000e+00
Split splitncnn_24 1 7 295 295_splitncnn_0 295_splitncnn_1 295_splitncnn_2 295_splitncnn_3 295_splitncnn_4 295_splitncnn_5 295_splitncnn_6
Convolution Conv_103 1 1 295_splitncnn_6 297 0=32 1=3 4=1 5=1 6=18432 9=2 -23310=1,2.000000e-01
Split splitncnn_25 1 4 297 297_splitncnn_0 297_splitncnn_1 297_splitncnn_2 297_splitncnn_3
Concat Concat_105 2 1 295_splitncnn_5 297_splitncnn_3 298
Convolution Conv_106 1 1 298 300 0=32 1=3 4=1 5=1 6=27648 9=2 -23310=1,2.000000e-01
Split splitncnn_26 1 3 300 300_splitncnn_0 300_splitncnn_1 300_splitncnn_2
Concat Concat_108 3 1 295_splitncnn_4 297_splitncnn_2 300_splitncnn_2 301
Convolution Conv_109 1 1 301 303 0=32 1=3 4=1 5=1 6=36864 9=2 -23310=1,2.000000e-01
Split splitncnn_27 1 2 303 303_splitncnn_0 303_splitncnn_1
Concat Concat_111 4 1 295_splitncnn_3 297_splitncnn_1 300_splitncnn_1 303_splitncnn_1 304
Convolution Conv_112 1 1 304 306 0=32 1=3 4=1 5=1 6=46080 9=2 -23310=1,2.000000e-01
Concat Concat_114 5 1 295_splitncnn_2 297_splitncnn_0 300_splitncnn_0 303_splitncnn_0 306 307
Convolution Conv_115 1 1 307 308 0=64 1=3 4=1 5=1 6=110592
Eltwise Add_118 2 1 308 295_splitncnn_1 311 0=1 -23301=2,2.000000e-01,1.000000e+00
Split splitncnn_28 1 6 311 311_splitncnn_0 311_splitncnn_1 311_splitncnn_2 311_splitncnn_3 311_splitncnn_4 311_splitncnn_5
Convolution Conv_119 1 1 311_splitncnn_5 313 0=32 1=3 4=1 5=1 6=18432 9=2 -23310=1,2.000000e-01
Split splitncnn_29 1 4 313 313_splitncnn_0 313_splitncnn_1 313_splitncnn_2 313_splitncnn_3
Concat Concat_121 2 1 311_splitncnn_4 313_splitncnn_3 314
Convolution Conv_122 1 1 314 316 0=32 1=3 4=1 5=1 6=27648 9=2 -23310=1,2.000000e-01
Split splitncnn_30 1 3 316 316_splitncnn_0 316_splitncnn_1 316_splitncnn_2
Concat Concat_124 3 1 311_splitncnn_3 313_splitncnn_2 316_splitncnn_2 317
Convolution Conv_125 1 1 317 319 0=32 1=3 4=1 5=1 6=36864 9=2 -23310=1,2.000000e-01
Split splitncnn_31 1 2 319 319_splitncnn_0 319_splitncnn_1
Concat Concat_127 4 1 311_splitncnn_2 313_splitncnn_1 316_splitncnn_1 319_splitncnn_1 320
Convolution Conv_128 1 1 320 322 0=32 1=3 4=1 5=1 6=46080 9=2 -23310=1,2.000000e-01
Concat Concat_130 5 1 311_splitncnn_1 313_splitncnn_0 316_splitncnn_0 319_splitncnn_0 322 323
Convolution Conv_131 1 1 323 324 0=64 1=3 4=1 5=1 6=110592
Eltwise Add_134 2 1 324 311_splitncnn_0 327 0=1 -23301=2,2.000000e-01,1.000000e+00
Split splitncnn_32 1 6 327 327_splitncnn_0 327_splitncnn_1 327_splitncnn_2 327_splitncnn_3 327_splitncnn_4 327_splitncnn_5
Convolution Conv_135 1 1 327_splitncnn_5 329 0=32 1=3 4=1 5=1 6=18432 9=2 -23310=1,2.000000e-01
Split splitncnn_33 1 4 329 329_splitncnn_0 329_splitncnn_1 329_splitncnn_2 329_splitncnn_3
Concat Concat_137 2 1 327_splitncnn_4 329_splitncnn_3 330
Convolution Conv_138 1 1 330 332 0=32 1=3 4=1 5=1 6=27648 9=2 -23310=1,2.000000e-01
Split splitncnn_34 1 3 332 332_splitncnn_0 332_splitncnn_1 332_splitncnn_2
Concat Concat_140 3 1 327_splitncnn_3 329_splitncnn_2 332_splitncnn_2 333
Convolution Conv_141 1 1 333 335 0=32 1=3 4=1 5=1 6=36864 9=2 -23310=1,2.000000e-01
Split splitncnn_35 1 2 335 335_splitncnn_0 335_splitncnn_1
Concat Concat_143 4 1 327_splitncnn_2 329_splitncnn_1 332_splitncnn_1 335_splitncnn_1 336
Convolution Conv_144 1 1 336 338 0=32 1=3 4=1 5=1 6=46080 9=2 -23310=1,2.000000e-01
Concat Concat_146 5 1 327_splitncnn_1 329_splitncnn_0 332_splitncnn_0 335_splitncnn_0 338 339
Convolution Conv_147 1 1 339 340 0=64 1=3 4=1 5=1 6=110592
Eltwise Add_150 2 1 340 327_splitncnn_0 343 0=1 -23301=2,2.000000e-01,1.000000e+00
Eltwise Add_153 2 1 343 295_splitncnn_0 346 0=1 -23301=2,2.000000e-01,1.000000e+00
Split splitncnn_36 1 7 346 346_splitncnn_0 346_splitncnn_1 346_splitncnn_2 346_splitncnn_3 346_splitncnn_4 346_splitncnn_5 346_splitncnn_6
Convolution Conv_154 1 1 346_splitncnn_6 348 0=32 1=3 4=1 5=1 6=18432 9=2 -23310=1,2.000000e-01
Split splitncnn_37 1 4 348 348_splitncnn_0 348_splitncnn_1 348_splitncnn_2 348_splitncnn_3
Concat Concat_156 2 1 346_splitncnn_5 348_splitncnn_3 349
Convolution Conv_157 1 1 349 351 0=32 1=3 4=1 5=1 6=27648 9=2 -23310=1,2.000000e-01
Split splitncnn_38 1 3 351 351_splitncnn_0 351_splitncnn_1 351_splitncnn_2
Concat Concat_159 3 1 346_splitncnn_4 348_splitncnn_2 351_splitncnn_2 352
Convolution Conv_160 1 1 352 354 0=32 1=3 4=1 5=1 6=36864 9=2 -23310=1,2.000000e-01
Split splitncnn_39 1 2 354 354_splitncnn_0 354_splitncnn_1
Concat Concat_162 4 1 346_splitncnn_3 348_splitncnn_1 351_splitncnn_1 354_splitncnn_1 355
Convolution Conv_163 1 1 355 357 0=32 1=3 4=1 5=1 6=46080 9=2 -23310=1,2.000000e-01
Concat Concat_165 5 1 346_splitncnn_2 348_splitncnn_0 351_splitncnn_0 354_splitncnn_0 357 358
Convolution Conv_166 1 1 358 359 0=64 1=3 4=1 5=1 6=110592
Eltwise Add_169 2 1 359 346_splitncnn_1 362 0=1 -23301=2,2.000000e-01,1.000000e+00
Split splitncnn_40 1 6 362 362_splitncnn_0 362_splitncnn_1 362_splitncnn_2 362_splitncnn_3 362_splitncnn_4 362_splitncnn_5
Convolution Conv_170 1 1 362_splitncnn_5 364 0=32 1=3 4=1 5=1 6=18432 9=2 -23310=1,2.000000e-01
Split splitncnn_41 1 4 364 364_splitncnn_0 364_splitncnn_1 364_splitncnn_2 364_splitncnn_3
Concat Concat_172 2 1 362_splitncnn_4 364_splitncnn_3 365
Convolution Conv_173 1 1 365 367 0=32 1=3 4=1 5=1 6=27648 9=2 -23310=1,2.000000e-01
Split splitncnn_42 1 3 367 367_splitncnn_0 367_splitncnn_1 367_splitncnn_2
Concat Concat_175 3 1 362_splitncnn_3 364_splitncnn_2 367_splitncnn_2 368
Convolution Conv_176 1 1 368 370 0=32 1=3 4=1 5=1 6=36864 9=2 -23310=1,2.000000e-01
Split splitncnn_43 1 2 370 370_splitncnn_0 370_splitncnn_1
Concat Concat_178 4 1 362_splitncnn_2 364_splitncnn_1 367_splitncnn_1 370_splitncnn_1 371
Convolution Conv_179 1 1 371 373 0=32 1=3 4=1 5=1 6=46080 9=2 -23310=1,2.000000e-01
Concat Concat_181 5 1 362_splitncnn_1 364_splitncnn_0 367_splitncnn_0 370_splitncnn_0 373 374
Convolution Conv_182 1 1 374 375 0=64 1=3 4=1 5=1 6=110592
Eltwise Add_185 2 1 375 362_splitncnn_0 378 0=1 -23301=2,2.000000e-01,1.000000e+00
Split splitncnn_44 1 6 378 378_splitncnn_0 378_splitncnn_1 378_splitncnn_2 378_splitncnn_3 378_splitncnn_4 378_splitncnn_5
Convolution Conv_186 1 1 378_splitncnn_5 380 0=32 1=3 4=1 5=1 6=18432 9=2 -23310=1,2.000000e-01
Split splitncnn_45 1 4 380 380_splitncnn_0 380_splitncnn_1 380_splitncnn_2 380_splitncnn_3
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Concat Concat_290 2 1 480_splitncnn_4 482_splitncnn_3 483
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Split splitncnn_70 1 3 485 485_splitncnn_0 485_splitncnn_1 485_splitncnn_2
Concat Concat_293 3 1 480_splitncnn_3 482_splitncnn_2 485_splitncnn_2 486
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Split splitncnn_71 1 2 488 488_splitncnn_0 488_splitncnn_1
Concat Concat_296 4 1 480_splitncnn_2 482_splitncnn_1 485_splitncnn_1 488_splitncnn_1 489
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Concat Concat_299 5 1 480_splitncnn_1 482_splitncnn_0 485_splitncnn_0 488_splitncnn_0 491 492
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Eltwise Add_303 2 1 493 480_splitncnn_0 496 0=1 -23301=2,2.000000e-01,1.000000e+00
Eltwise Add_306 2 1 496 448_splitncnn_0 499 0=1 -23301=2,2.000000e-01,1.000000e+00
Convolution Conv_307 1 1 499 500 0=64 1=3 4=1 5=1 6=36864
BinaryOp Add_308 2 1 193_splitncnn_0 500 501
Interp Resize_310 1 1 501 506 0=1 1=2.000000e+00 2=2.000000e+00
Convolution Conv_311 1 1 506 508 0=64 1=3 4=1 5=1 6=36864 9=2 -23310=1,2.000000e-01
Interp Resize_314 1 1 508 513 0=1 1=2.000000e+00 2=2.000000e+00
Convolution Conv_315 1 1 513 515 0=64 1=3 4=1 5=1 6=36864 9=2 -23310=1,2.000000e-01
Convolution Conv_317 1 1 515 517 0=64 1=3 4=1 5=1 6=36864 9=2 -23310=1,2.000000e-01
Convolution Conv_319 1 1 517 output 0=3 1=3 4=1 5=1 6=1728

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{file = "rife-ncnn-vulkan-python-1.2.1.tar.gz", hash = "sha256:2e350dbc9eaefb547efeedd97227e4579dffd75db278323f8fdc77e3931b112b"},
]
[[package]]
name = "six"
version = "1.16.0"
requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
summary = "Python 2 and 3 compatibility utilities"
groups = ["default"]
files = [
{file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
{file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
]
[[package]]
name = "srmd-ncnn-vulkan-python"
version = "1.0.2"
requires_python = ">=3.6"
summary = "A Python FFI of nihui/srmd-ncnn-vulkan achieved with SWIG"
groups = ["all", "srmd"]
dependencies = [
"pillow",
]
files = [
{file = "srmd-ncnn-vulkan-python-1.0.2.tar.gz", hash = "sha256:3c7f71cbba2b6310c4b14c2b11dae7737582ac004893f8c9cc3f7c305c7bbe49"},
]
[[package]]
name = "tomli"
version = "2.0.1"
requires_python = ">=3.7"
summary = "A lil' TOML parser"
groups = ["format", "lint"]
marker = "python_version < \"3.11\""
files = [
{file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
{file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
]
[[package]]
name = "tomlkit"
version = "0.12.3"
requires_python = ">=3.7"
summary = "Style preserving TOML library"
groups = ["lint"]
files = [
{file = "tomlkit-0.12.3-py3-none-any.whl", hash = "sha256:b0a645a9156dc7cb5d3a1f0d4bab66db287fcb8e0430bdd4664a095ea16414ba"},
{file = "tomlkit-0.12.3.tar.gz", hash = "sha256:75baf5012d06501f07bee5bf8e801b9f343e7aac5a92581f20f80ce632e6b5a4"},
]
[[package]]
name = "typing-extensions"
version = "4.9.0"
requires_python = ">=3.8"
summary = "Backported and Experimental Type Hints for Python 3.8+"
groups = ["format", "lint"]
marker = "python_version < \"3.11\""
files = [
{file = "typing_extensions-4.9.0-py3-none-any.whl", hash = "sha256:af72aea155e91adfc61c3ae9e0e342dbc0cba726d6cba4b6c72c1f34e47291cd"},
{file = "typing_extensions-4.9.0.tar.gz", hash = "sha256:23478f88c37f27d76ac8aee6c905017a143b0b1b886c3c9f66bc2fd94f9f5783"},
]
[[package]]
name = "waifu2x-ncnn-vulkan-python"
version = "1.0.4"
requires_python = ">=3.6"
summary = "A Python FFI of nihui/waifu2x-ncnn-vulkan achieved with SWIG"
groups = ["all", "waifu2x"]
dependencies = [
"pillow",
]
files = [
{file = "waifu2x-ncnn-vulkan-python-1.0.4.tar.gz", hash = "sha256:bc7023cd4f2daf7ce3954086ef314f92236ca6529ad7715d1324291a1dfeda00"},
]
[[package]]
name = "win32-setctime"
version = "1.1.0"
requires_python = ">=3.5"
summary = "A small Python utility to set file creation time on Windows"
groups = ["default"]
marker = "sys_platform == \"win32\""
files = [
{file = "win32_setctime-1.1.0-py3-none-any.whl", hash = "sha256:231db239e959c2fe7eb1d7dc129f11172354f98361c4fa2d6d2d7e278baa8aad"},
{file = "win32_setctime-1.1.0.tar.gz", hash = "sha256:15cf5750465118d6929ae4de4eb46e8edae9a5634350c01ba582df868e932cb2"},
]

View File

@ -1,84 +0,0 @@
[project]
name = "video2x"
description = "A video/image upscaling and frame interpolation framework"
readme = "README.md"
requires-python = ">=3.9"
license = { text = "AGPL-3.0-or-later" }
keywords = [
"super-resolution",
"upscaling",
"neural-network",
"machine-learning",
]
authors = [{ name = "K4YT3X", email = "i@k4yt3x.com" }]
classifiers = [
"Environment :: Console",
"Intended Audience :: Developers",
"Intended Audience :: End Users/Desktop",
"License :: OSI Approved :: GNU Affero General Public License v3",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python",
"Topic :: Multimedia :: Video",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Image Processing",
]
dependencies = [
"ffmpeg-python>=0.2.0",
"loguru>=0.6.0",
"opencv-python>=4.9.0.80",
"pillow>=9.1.0",
"pynput>=1.7.6",
"rich>=12.0.0",
"numpy>=1.26.4",
]
dynamic = ["version"]
[project.optional-dependencies]
all = [
"waifu2x-ncnn-vulkan-python>=1.0.4",
"srmd-ncnn-vulkan-python>=1.0.2",
"realsr-ncnn-vulkan-python>=1.0.6",
"rife-ncnn-vulkan-python>=1.2.1",
"realcugan-ncnn-vulkan-python>=1.0.2",
"anime4k-python>=1.1.3",
]
waifu2x = ["waifu2x-ncnn-vulkan-python>=1.0.4"]
srmd = ["srmd-ncnn-vulkan-python>=1.0.2"]
realsr = ["realsr-ncnn-vulkan-python>=1.0.6"]
rife = ["rife-ncnn-vulkan-python>=1.2.1"]
realcugan = ["realcugan-ncnn-vulkan-python>=1.0.2"]
anime4k = ["anime4k-python>=1.1.3"]
[project.urls]
homepage = "https://github.com/k4yt3x/video2x/"
documentation = "https://github.com/k4yt3x/video2x/wiki"
repository = "https://github.com/k4yt3x/video2x.git"
changelog = "https://github.com/k4yt3x/video2x/releases"
[project.scripts]
video2x = "video2x:main"
[tool.isort]
profile = "black"
[tool.pdm]
version = { source = "file", path = "video2x/__init__.py" }
[tool.pdm.dev-dependencies]
lint = [
"flake8>=6.1.0",
"flake8-black>=0.3.6",
"flake8-isort>=6.0.0",
"pylint>=2.17.5",
"pylint-venv>=3.0.2",
]
format = ["black>=23.7.0", "isort>=5.12.0"]
[build-system]
requires = ["pdm-backend"]
build-backend = "pdm.backend"

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@ -0,0 +1,46 @@
#!/usr/bin/python
# -*- coding: utf-8 -*-
import shutil
from pathlib import Path
import requests
ANIME4K_COMMIT = "master"
GITHUB_GLSL_ROOT = (
f"https://raw.githubusercontent.com/bloc97/Anime4K/{ANIME4K_COMMIT}/glsl"
)
SHADERS_DIR = Path(__file__).parent.parent / "data"
def download_and_combine_files():
modes = {
"ModeA": [
f"{GITHUB_GLSL_ROOT}/Restore/Anime4K_Clamp_Highlights.glsl",
f"{GITHUB_GLSL_ROOT}/Restore/Anime4K_Restore_CNN_VL.glsl",
f"{GITHUB_GLSL_ROOT}/Upscale/Anime4K_Upscale_CNN_x2_VL.glsl",
f"{GITHUB_GLSL_ROOT}/Upscale/Anime4K_AutoDownscalePre_x2.glsl",
f"{GITHUB_GLSL_ROOT}/Upscale/Anime4K_AutoDownscalePre_x4.glsl",
f"{GITHUB_GLSL_ROOT}/Upscale/Anime4K_Upscale_CNN_x2_M.glsl",
]
}
for mode in modes:
file_contents = ""
for file in modes[mode]:
response = requests.get(file, timeout=5)
response.raise_for_status()
file_contents += response.text + "\n"
with (SHADERS_DIR / Path(f"Anime4K_{mode}.glsl")).open("w") as output_file:
output_file.write(file_contents)
if __name__ == "__main__":
# clear shaders directory
if SHADERS_DIR.exists():
shutil.rmtree(SHADERS_DIR)
SHADERS_DIR.mkdir(exist_ok=True)
# download and combine shaders
download_and_combine_files()

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@ -1,19 +0,0 @@
#!/bin/sh
# mount the current (video2x repo root) directory into a container
# with drivers installed so the code can be debugged in the container
# this one launches an interactive shell instead of Python
set -euo pipefail
sudo podman run -it --rm \
--gpus all -v /dev/dri:/dev/dri \
-v $PWD:/host \
-m 15g \
--cpus 0.9 \
-v $HOME/projects/media2x/video2x:/video2x \
-e PYTHONPATH=/video2x \
-e PYTHONDONTWRITEBYTECODE=1 \
--entrypoint=/bin/bash \
ghcr.io/k4yt3x/video2x:5.0.0-beta4-cuda
# alias upscale='python3 -m video2x -i /host/input-large.mp4 -o /host/output-large.mp4 -p3 upscale -h 1440 -d waifu2x -n3'

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@ -1,19 +0,0 @@
#!/bin/sh
# mount the current (video2x repo root) directory into a container
# with drivers installed so the code can be debugged in the container
set -euo pipefail
sudo podman run -it --rm \
--gpus all -v /dev/dri:/dev/dri \
-v $PWD:/host \
-m 15g \
--cpus 0.9 \
-v $HOME/projects/media2x/video2x:/video2x \
-e PYTHONPATH=/video2x \
-e PYTHONDONTWRITEBYTECODE=1 \
ghcr.io/k4yt3x/video2x:5.0.0-beta4-cuda \
-i data/input.mp4 -o data/output.mp4 \
-p3 \
upscale \
-h 1440 -a waifu2x -n3

202
src/conversions.cpp Normal file
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#include <cstdio>
// FFmpeg includes
extern "C" {
#include <libavutil/frame.h>
#include <libavutil/imgutils.h>
#include <libswscale/swscale.h>
}
// ncnn includes
#include <mat.h>
#include "conversions.h"
// Convert AVFrame format
AVFrame *convert_avframe_pix_fmt(AVFrame *src_frame, AVPixelFormat pix_fmt) {
AVFrame *dst_frame = av_frame_alloc();
if (dst_frame == nullptr) {
fprintf(stderr, "Failed to allocate destination AVFrame.\n");
return nullptr;
}
dst_frame->format = pix_fmt;
dst_frame->width = src_frame->width;
dst_frame->height = src_frame->height;
// Allocate memory for the converted frame
if (av_frame_get_buffer(dst_frame, 32) < 0) {
fprintf(stderr, "Failed to allocate memory for AVFrame.\n");
av_frame_free(&dst_frame);
return nullptr;
}
// Create a SwsContext for pixel format conversion
SwsContext *sws_ctx = sws_getContext(
src_frame->width,
src_frame->height,
static_cast<AVPixelFormat>(src_frame->format),
dst_frame->width,
dst_frame->height,
pix_fmt,
SWS_BILINEAR,
nullptr,
nullptr,
nullptr
);
if (sws_ctx == nullptr) {
fprintf(stderr, "Failed to initialize swscale context.\n");
av_frame_free(&dst_frame);
return nullptr;
}
// Perform the conversion
sws_scale(
sws_ctx,
src_frame->data,
src_frame->linesize,
0,
src_frame->height,
dst_frame->data,
dst_frame->linesize
);
// Clean up
sws_freeContext(sws_ctx);
return dst_frame;
}
// Convert AVFrame to ncnn::Mat by copying the data
ncnn::Mat avframe_to_ncnn_mat(AVFrame *frame) {
AVFrame *converted_frame = nullptr;
// Convert to BGR24 format if necessary
if (frame->format != AV_PIX_FMT_BGR24) {
converted_frame = convert_avframe_pix_fmt(frame, AV_PIX_FMT_BGR24);
if (!converted_frame) {
fprintf(stderr, "Failed to convert AVFrame to BGR24.\n");
return ncnn::Mat(); // Return an empty ncnn::Mat on failure
}
} else {
converted_frame = frame; // If the frame is already in BGR24, use it directly
}
// Allocate a new ncnn::Mat and copy the data
int width = converted_frame->width;
int height = converted_frame->height;
ncnn::Mat ncnn_image = ncnn::Mat(width, height, (size_t)3, 3); // BGR has 3 channels
// Manually copy the pixel data from AVFrame to the new ncnn::Mat
const uint8_t *src_data = converted_frame->data[0];
for (int y = 0; y < height; y++) {
uint8_t *dst_row = ncnn_image.row<uint8_t>(y);
const uint8_t *src_row = src_data + y * converted_frame->linesize[0];
memcpy(dst_row, src_row, width * 3); // Copy 3 channels (BGR) per pixel
}
// If we allocated a converted frame, free it
if (converted_frame != frame) {
av_frame_free(&converted_frame);
}
return ncnn_image;
}
// Convert ncnn::Mat to AVFrame with a specified pixel format (this part is unchanged)
AVFrame *ncnn_mat_to_avframe(const ncnn::Mat &mat, AVPixelFormat pix_fmt) {
int ret;
// Step 1: Allocate a destination AVFrame for the specified pixel format
AVFrame *dst_frame = av_frame_alloc();
if (!dst_frame) {
fprintf(stderr, "Failed to allocate destination AVFrame.\n");
return nullptr;
}
dst_frame->format = pix_fmt;
dst_frame->width = mat.w;
dst_frame->height = mat.h;
// Allocate memory for the frame buffer
if (av_frame_get_buffer(dst_frame, 32) < 0) {
fprintf(stderr, "Failed to allocate memory for destination AVFrame.\n");
av_frame_free(&dst_frame);
return nullptr;
}
// Step 2: Convert ncnn::Mat to BGR AVFrame
AVFrame *bgr_frame = av_frame_alloc();
if (!bgr_frame) {
fprintf(stderr, "Failed to allocate intermediate BGR AVFrame.\n");
av_frame_free(&dst_frame);
return nullptr;
}
bgr_frame->format = AV_PIX_FMT_BGR24;
bgr_frame->width = mat.w;
bgr_frame->height = mat.h;
// Allocate memory for the intermediate BGR frame
if (av_frame_get_buffer(bgr_frame, 32) < 0) {
fprintf(stderr, "Failed to allocate memory for BGR AVFrame.\n");
av_frame_free(&dst_frame);
av_frame_free(&bgr_frame);
return nullptr;
}
// Copy data from ncnn::Mat to the BGR AVFrame
// mat.to_pixels(bgr_frame->data[0], ncnn::Mat::PIXEL_BGR);
// Manually copy the pixel data from ncnn::Mat to the BGR AVFrame
for (int y = 0; y < mat.h; y++) {
uint8_t *dst_row = bgr_frame->data[0] + y * bgr_frame->linesize[0];
const uint8_t *src_row = mat.row<const uint8_t>(y);
memcpy(dst_row, src_row, mat.w * 3); // Copy 3 channels (BGR) per pixel
}
// Step 3: Convert the BGR frame to the desired pixel format
SwsContext *sws_ctx = sws_getContext(
bgr_frame->width,
bgr_frame->height,
AV_PIX_FMT_BGR24,
dst_frame->width,
dst_frame->height,
pix_fmt,
SWS_BILINEAR,
nullptr,
nullptr,
nullptr
);
if (sws_ctx == nullptr) {
fprintf(stderr, "Failed to initialize swscale context.\n");
av_frame_free(&bgr_frame);
av_frame_free(&dst_frame);
return nullptr;
}
// Perform the conversion
ret = sws_scale(
sws_ctx,
bgr_frame->data,
bgr_frame->linesize,
0,
bgr_frame->height,
dst_frame->data,
dst_frame->linesize
);
// Clean up
sws_freeContext(sws_ctx);
av_frame_free(&bgr_frame);
if (ret != dst_frame->height) {
fprintf(stderr, "Failed to convert BGR AVFrame to destination pixel format.\n");
av_frame_free(&dst_frame);
return nullptr;
}
return dst_frame;
}

79
src/decoder.cpp Normal file
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@ -0,0 +1,79 @@
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
extern "C" {
#include <libavcodec/avcodec.h>
#include <libavfilter/avfilter.h>
#include <libavfilter/buffersink.h>
#include <libavfilter/buffersrc.h>
#include <libavformat/avformat.h>
#include <libavutil/opt.h>
#include <libavutil/pixdesc.h>
#include <libavutil/rational.h>
}
int init_decoder(
const char *input_filename,
AVFormatContext **fmt_ctx,
AVCodecContext **dec_ctx,
int *video_stream_index
) {
AVFormatContext *ifmt_ctx = NULL;
AVCodecContext *codec_ctx = NULL;
int ret;
if ((ret = avformat_open_input(&ifmt_ctx, input_filename, NULL, NULL)) < 0) {
fprintf(stderr, "Could not open input file '%s'\n", input_filename);
return ret;
}
if ((ret = avformat_find_stream_info(ifmt_ctx, NULL)) < 0) {
fprintf(stderr, "Failed to retrieve input stream information\n");
return ret;
}
// Find the first video stream
ret = av_find_best_stream(ifmt_ctx, AVMEDIA_TYPE_VIDEO, -1, -1, NULL, 0);
if (ret < 0) {
fprintf(stderr, "Could not find video stream in the input, aborting\n");
return ret;
}
int stream_index = ret;
AVStream *video_stream = ifmt_ctx->streams[stream_index];
// Set up the decoder
const AVCodec *dec = avcodec_find_decoder(video_stream->codecpar->codec_id);
if (!dec) {
fprintf(stderr, "Failed to find decoder for stream #%u\n", stream_index);
return AVERROR_DECODER_NOT_FOUND;
}
codec_ctx = avcodec_alloc_context3(dec);
if (!codec_ctx) {
fprintf(stderr, "Failed to allocate the decoder context\n");
return AVERROR(ENOMEM);
}
if ((ret = avcodec_parameters_to_context(codec_ctx, video_stream->codecpar)) < 0) {
fprintf(stderr, "Failed to copy decoder parameters to input decoder context\n");
return ret;
}
// Set decoder time base and frame rate
codec_ctx->time_base = video_stream->time_base;
codec_ctx->pkt_timebase = video_stream->time_base;
codec_ctx->framerate = av_guess_frame_rate(ifmt_ctx, video_stream, NULL);
if ((ret = avcodec_open2(codec_ctx, dec, NULL)) < 0) {
fprintf(stderr, "Failed to open decoder for stream #%u\n", stream_index);
return ret;
}
*fmt_ctx = ifmt_ctx;
*dec_ctx = codec_ctx;
*video_stream_index = stream_index;
return 0;
}

206
src/encoder.cpp Normal file
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@ -0,0 +1,206 @@
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
extern "C" {
#include <libavcodec/avcodec.h>
#include <libavcodec/codec.h>
#include <libavcodec/codec_id.h>
#include <libavfilter/avfilter.h>
#include <libavfilter/buffersink.h>
#include <libavfilter/buffersrc.h>
#include <libavformat/avformat.h>
#include <libavutil/opt.h>
#include <libavutil/pixdesc.h>
#include <libavutil/rational.h>
}
#include "conversions.h"
#include "libvideo2x.h"
int init_encoder(
const char *output_filename,
AVFormatContext **ofmt_ctx,
AVCodecContext **enc_ctx,
AVCodecContext *dec_ctx,
EncoderConfig *encoder_config
) {
AVFormatContext *fmt_ctx = NULL;
AVCodecContext *codec_ctx = NULL;
int ret;
avformat_alloc_output_context2(&fmt_ctx, NULL, NULL, output_filename);
if (!fmt_ctx) {
fprintf(stderr, "Could not create output context\n");
return AVERROR_UNKNOWN;
}
// Create a new video stream
const AVCodec *enc = avcodec_find_encoder(encoder_config->codec);
if (!enc) {
fprintf(stderr, "Necessary encoder not found\n");
return AVERROR_ENCODER_NOT_FOUND;
}
AVStream *out_stream = avformat_new_stream(fmt_ctx, NULL);
if (!out_stream) {
fprintf(stderr, "Failed allocating output stream\n");
return AVERROR_UNKNOWN;
}
codec_ctx = avcodec_alloc_context3(enc);
if (!codec_ctx) {
fprintf(stderr, "Failed to allocate the encoder context\n");
return AVERROR(ENOMEM);
}
// Set encoding parameters
codec_ctx->height = encoder_config->output_height;
codec_ctx->width = encoder_config->output_width;
codec_ctx->sample_aspect_ratio = dec_ctx->sample_aspect_ratio;
codec_ctx->pix_fmt = encoder_config->pix_fmt;
codec_ctx->time_base = av_inv_q(dec_ctx->framerate);
if (codec_ctx->time_base.num == 0 || codec_ctx->time_base.den == 0) {
codec_ctx->time_base = av_inv_q(av_guess_frame_rate(fmt_ctx, out_stream, NULL));
}
// Set the bit rate and other encoder parameters if needed
codec_ctx->bit_rate = encoder_config->bit_rate;
codec_ctx->gop_size = 60; // Keyframe interval
codec_ctx->max_b_frames = 3; // B-frames
codec_ctx->keyint_min = 60; // Maximum GOP size
char crf_str[16];
snprintf(crf_str, sizeof(crf_str), "%.f", encoder_config->crf);
if (encoder_config->codec == AV_CODEC_ID_H264 || encoder_config->codec == AV_CODEC_ID_HEVC) {
av_opt_set(codec_ctx->priv_data, "crf", crf_str, 0);
av_opt_set(codec_ctx->priv_data, "preset", encoder_config->preset, 0);
}
if (fmt_ctx->oformat->flags & AVFMT_GLOBALHEADER) {
codec_ctx->flags |= AV_CODEC_FLAG_GLOBAL_HEADER;
}
if ((ret = avcodec_open2(codec_ctx, enc, NULL)) < 0) {
fprintf(stderr, "Cannot open video encoder\n");
return ret;
}
ret = avcodec_parameters_from_context(out_stream->codecpar, codec_ctx);
if (ret < 0) {
fprintf(stderr, "Failed to copy encoder parameters to output stream\n");
return ret;
}
out_stream->time_base = codec_ctx->time_base;
// Open the output file
if (!(fmt_ctx->oformat->flags & AVFMT_NOFILE)) {
ret = avio_open(&fmt_ctx->pb, output_filename, AVIO_FLAG_WRITE);
if (ret < 0) {
fprintf(stderr, "Could not open output file '%s'\n", output_filename);
return ret;
}
}
*ofmt_ctx = fmt_ctx;
*enc_ctx = codec_ctx;
return 0;
}
int encode_and_write_frame(AVFrame *frame, AVCodecContext *enc_ctx, AVFormatContext *ofmt_ctx) {
int ret;
// Convert the frame to the encoder's pixel format if needed
if (frame->format != enc_ctx->pix_fmt) {
AVFrame *converted_frame = convert_avframe_pix_fmt(frame, enc_ctx->pix_fmt);
if (!converted_frame) {
fprintf(stderr, "Error converting frame to encoder's pixel format\n");
return AVERROR_EXTERNAL;
}
converted_frame->pts = frame->pts;
frame = converted_frame;
}
AVPacket *enc_pkt = av_packet_alloc();
if (!enc_pkt) {
fprintf(stderr, "Could not allocate AVPacket\n");
return AVERROR(ENOMEM);
}
ret = avcodec_send_frame(enc_ctx, frame);
if (ret < 0) {
fprintf(stderr, "Error sending frame to encoder\n");
av_packet_free(&enc_pkt);
return ret;
}
while (ret >= 0) {
ret = avcodec_receive_packet(enc_ctx, enc_pkt);
if (ret == AVERROR(EAGAIN) || ret == AVERROR_EOF) {
av_packet_unref(enc_pkt);
break;
} else if (ret < 0) {
fprintf(stderr, "Error during encoding\n");
av_packet_free(&enc_pkt);
return ret;
}
// Rescale packet timestamps
av_packet_rescale_ts(enc_pkt, enc_ctx->time_base, ofmt_ctx->streams[0]->time_base);
enc_pkt->stream_index = ofmt_ctx->streams[0]->index;
// Write the packet
ret = av_interleaved_write_frame(ofmt_ctx, enc_pkt);
av_packet_unref(enc_pkt);
if (ret < 0) {
fprintf(stderr, "Error muxing packet\n");
av_packet_free(&enc_pkt);
return ret;
}
}
av_packet_free(&enc_pkt);
return 0;
}
int flush_encoder(AVCodecContext *enc_ctx, AVFormatContext *ofmt_ctx) {
int ret;
AVPacket *enc_pkt = av_packet_alloc();
if (!enc_pkt) {
fprintf(stderr, "Could not allocate AVPacket\n");
return AVERROR(ENOMEM);
}
ret = avcodec_send_frame(enc_ctx, NULL);
while (ret >= 0) {
ret = avcodec_receive_packet(enc_ctx, enc_pkt);
if (ret == AVERROR(EAGAIN) || ret == AVERROR_EOF) {
av_packet_unref(enc_pkt);
break;
} else if (ret < 0) {
fprintf(stderr, "Error during encoding\n");
av_packet_free(&enc_pkt);
return ret;
}
// Rescale packet timestamps
av_packet_rescale_ts(enc_pkt, enc_ctx->time_base, ofmt_ctx->streams[0]->time_base);
enc_pkt->stream_index = ofmt_ctx->streams[0]->index;
// Write the packet
ret = av_interleaved_write_frame(ofmt_ctx, enc_pkt);
av_packet_unref(enc_pkt);
if (ret < 0) {
fprintf(stderr, "Error muxing packet\n");
av_packet_free(&enc_pkt);
return ret;
}
}
av_packet_free(&enc_pkt);
return 0;
}

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#include <filesystem>
#if _WIN32
#include <windows.h>
#include <cwchar>
#else
#include <unistd.h>
#include <cstring>
#endif
#include "fsutils.h"
#if _WIN32
std::filesystem::path get_executable_directory() {
std::vector<wchar_t> filepath(MAX_PATH);
// Get the executable path, expanding the buffer if necessary
DWORD size = GetModuleFileNameW(NULL, filepath.data(), static_cast<DWORD>(filepath.size()));
if (size == 0) {
fprintf(stderr, "Error getting executable path: %lu\n", GetLastError());
return std::filesystem::path();
}
// Resize the buffer if necessary
while (size >= filepath.size()) {
filepath.resize(filepath.size() * 2);
size = GetModuleFileNameW(NULL, filepath.data(), static_cast<DWORD>(filepath.size()));
if (size == 0) {
fprintf(stderr, "Error getting executable path: %lu\n", GetLastError());
return std::filesystem::path();
}
}
// Create a std::filesystem::path from the filepath and return its parent path
std::filesystem::path execpath(filepath.data());
return execpath.parent_path();
}
#else // _WIN32
std::filesystem::path get_executable_directory() {
std::error_code ec;
std::filesystem::path filepath = std::filesystem::read_symlink("/proc/self/exe", ec);
if (ec) {
fprintf(stderr, "Error reading /proc/self/exe: %s\n", ec.message().c_str());
return std::filesystem::path();
}
return filepath.parent_path();
}
#endif // _WIN32
bool filepath_is_readable(const std::filesystem::path &path) {
#if _WIN32
FILE *fp = _wfopen(path.c_str(), L"rb");
#else // _WIN32
FILE *fp = fopen(path.c_str(), "rb");
#endif // _WIN32
if (!fp) {
return false;
}
fclose(fp);
return true;
}
std::filesystem::path find_resource_file(const std::filesystem::path &path) {
if (filepath_is_readable(path)) {
return path;
}
if (filepath_is_readable(std::filesystem::path("/usr/share/video2x/") / path)) {
return std::filesystem::path("/usr/share/video2x/") / path;
}
return get_executable_directory() / path;
}
std::string path_to_string(const std::filesystem::path &path) {
#if _WIN32
std::wstring wide_path = path.wstring();
int buffer_size =
WideCharToMultiByte(CP_UTF8, 0, wide_path.c_str(), -1, nullptr, 0, nullptr, nullptr);
if (buffer_size == 0) {
return std::string();
}
std::vector<char> buffer(buffer_size);
WideCharToMultiByte(
CP_UTF8, 0, wide_path.c_str(), -1, buffer.data(), buffer_size, nullptr, nullptr
);
return std::string(buffer.data());
#else
return path.string();
#endif
}

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/*
* Copyright (c) 1987, 1993, 1994, 1996
* The Regents of the University of California. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* 3. Neither the names of the copyright holders nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ``AS
* IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
* THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE
* LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
* CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
* SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
* INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
* CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
* ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*/
#include <assert.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include "getopt.h"
/*
extern int opterr;
extern int optind;
extern int optopt;
extern int optreset;
extern char *optarg;
*/
int opterr = 1; /* if error message should be printed */
int optind = 1; /* index into parent argv vector */
int optopt = 0; /* character checked for validity */
int optreset = 0; /* reset getopt */
char *optarg = NULL; /* argument associated with option */
#ifndef __P
#define __P(x) x
#endif
#define _DIAGASSERT(x) assert(x)
static char *__progname __P((char *));
int getopt_internal __P((int, char *const *, const char *));
static char *__progname(char *nargv0) {
char *tmp;
_DIAGASSERT(nargv0 != NULL);
tmp = strrchr(nargv0, '/');
if (tmp) {
tmp++;
} else {
tmp = nargv0;
}
return (tmp);
}
#define BADCH (int)'?'
#define BADARG (int)':'
#define EMSG ""
/*
* getopt --
* Parse argc/argv argument vector.
*/
int getopt_internal(int nargc, char *const *nargv, const char *ostr) {
static char *place = EMSG; /* option letter processing */
char *oli; /* option letter list index */
_DIAGASSERT(nargv != NULL);
_DIAGASSERT(ostr != NULL);
if (optreset || !*place) { /* update scanning pointer */
optreset = 0;
if (optind >= nargc || *(place = nargv[optind]) != '-') {
place = EMSG;
return (-1);
}
if (place[1] && *++place == '-') { /* found "--" */
/* ++optind; */
place = EMSG;
return (-2);
}
} /* option letter okay? */
if ((optopt = (int)*place++) == (int)':' || !(oli = strchr(ostr, optopt))) {
/*
* if the user didn't specify '-' as an option,
* assume it means -1.
*/
if (optopt == (int)'-') {
return (-1);
}
if (!*place) {
++optind;
}
if (opterr && *ostr != ':') {
(void)fprintf(stderr, "%s: illegal option -- %c\n", __progname(nargv[0]), optopt);
}
return (BADCH);
}
if (*++oli != ':') { /* don't need argument */
optarg = NULL;
if (!*place) {
++optind;
}
} else { /* need an argument */
if (*place) { /* no white space */
optarg = place;
} else if (nargc <= ++optind) { /* no arg */
place = EMSG;
if ((opterr) && (*ostr != ':')) {
(void)fprintf(
stderr, "%s: option requires an argument -- %c\n", __progname(nargv[0]), optopt
);
}
return (BADARG);
} else { /* white space */
optarg = nargv[optind];
}
place = EMSG;
++optind;
}
return (optopt); /* dump back option letter */
}
#if 0
/*
* getopt --
* Parse argc/argv argument vector.
*/
int
getopt2(nargc, nargv, ostr)
int nargc;
char * const *nargv;
const char *ostr;
{
int retval;
if ((retval = getopt_internal(nargc, nargv, ostr)) == -2) {
retval = -1;
++optind;
}
return(retval);
}
#endif
/*
* getopt_long --
* Parse argc/argv argument vector.
*/
int getopt_long(
int nargc,
char **nargv,
const char *options,
const struct option *long_options,
int *index
) {
int retval;
_DIAGASSERT(nargv != NULL);
_DIAGASSERT(options != NULL);
_DIAGASSERT(long_options != NULL);
/* index may be NULL */
if ((retval = getopt_internal(nargc, nargv, options)) == -2) {
char *current_argv = nargv[optind++] + 2, *has_equal;
int i, match = -1;
size_t current_argv_len;
if (*current_argv == '\0') {
return (-1);
}
if ((has_equal = strchr(current_argv, '=')) != NULL) {
current_argv_len = has_equal - current_argv;
has_equal++;
} else {
current_argv_len = strlen(current_argv);
}
for (i = 0; long_options[i].name; i++) {
if (strncmp(current_argv, long_options[i].name, current_argv_len)) {
continue;
}
if (strlen(long_options[i].name) == current_argv_len) {
match = i;
break;
}
if (match == -1) {
match = i;
}
}
if (match != -1) {
if (long_options[match].has_arg == required_argument ||
long_options[match].has_arg == optional_argument) {
if (has_equal) {
optarg = has_equal;
} else {
optarg = nargv[optind++];
}
}
if ((long_options[match].has_arg == required_argument) && (optarg == NULL)) {
/*
* Missing argument, leading :
* indicates no error should be generated
*/
if ((opterr) && (*options != ':')) {
(void)fprintf(
stderr,
"%s: option requires an argument -- %s\n",
__progname(nargv[0]),
current_argv
);
}
return (BADARG);
}
} else { /* No matching argument */
if ((opterr) && (*options != ':')) {
(void
)fprintf(stderr, "%s: illegal option -- %s\n", __progname(nargv[0]), current_argv);
}
return (BADCH);
}
if (long_options[match].flag) {
*long_options[match].flag = long_options[match].val;
retval = 0;
} else {
retval = long_options[match].val;
}
if (index) {
*index = match;
}
}
return (retval);
}

161
src/libplacebo.cpp Normal file
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#include <stdio.h>
#include <stdlib.h>
#include <filesystem>
extern "C" {
#include <libavcodec/avcodec.h>
#include <libavfilter/avfilter.h>
#include <libavfilter/buffersink.h>
#include <libavfilter/buffersrc.h>
#include <libavformat/avformat.h>
#include <libavutil/buffer.h>
#include <libavutil/hwcontext.h>
#include <libavutil/opt.h>
#include <libavutil/pixdesc.h>
#include <libavutil/rational.h>
#include <libswscale/swscale.h>
}
#include "fsutils.h"
int init_libplacebo(
AVFilterGraph **filter_graph,
AVFilterContext **buffersrc_ctx,
AVFilterContext **buffersink_ctx,
AVBufferRef **device_ctx,
AVCodecContext *dec_ctx,
int output_width,
int output_height,
const std::filesystem::path &shader_path
) {
char args[512];
int ret;
// Initialize the Vulkan hardware device
AVBufferRef *hw_device_ctx = av_hwdevice_ctx_alloc(AV_HWDEVICE_TYPE_VULKAN);
ret = av_hwdevice_ctx_create(&hw_device_ctx, AV_HWDEVICE_TYPE_VULKAN, NULL, NULL, 0);
if (ret < 0) {
fprintf(stderr, "Unable to initialize Vulkan device\n");
return ret;
}
AVFilterGraph *graph = avfilter_graph_alloc();
if (!graph) {
fprintf(stderr, "Unable to create filter graph.\n");
return AVERROR(ENOMEM);
}
// Create buffer source
const AVFilter *buffersrc = avfilter_get_by_name("buffer");
snprintf(
args,
sizeof(args),
"video_size=%dx%d:pix_fmt=%d:time_base=%d/%d:frame_rate=%d/%d:"
"pixel_aspect=%d/%d:colorspace=%d",
dec_ctx->width,
dec_ctx->height,
dec_ctx->pix_fmt,
dec_ctx->time_base.num,
dec_ctx->time_base.den,
dec_ctx->framerate.num,
dec_ctx->framerate.den,
dec_ctx->sample_aspect_ratio.num,
dec_ctx->sample_aspect_ratio.den,
dec_ctx->colorspace
);
ret = avfilter_graph_create_filter(buffersrc_ctx, buffersrc, "in", args, NULL, graph);
if (ret < 0) {
fprintf(stderr, "Cannot create buffer source\n");
av_buffer_unref(&hw_device_ctx);
avfilter_graph_free(&graph);
return ret;
}
AVFilterContext *last_filter = *buffersrc_ctx;
// Create the libplacebo filter
const AVFilter *libplacebo_filter = avfilter_get_by_name("libplacebo");
if (!libplacebo_filter) {
fprintf(stderr, "Filter 'libplacebo' not found\n");
av_buffer_unref(&hw_device_ctx);
avfilter_graph_free(&graph);
return AVERROR_FILTER_NOT_FOUND;
}
// Convert the shader path to a string since filter args is const char *
std::string shader_path_string = path_to_string(shader_path);
#ifdef _WIN32
// libplacebo does not recognize the Windows '\\' path separator
std::replace(shader_path_string.begin(), shader_path_string.end(), '\\', '/');
#endif
// Prepare the filter arguments
char filter_args[512];
snprintf(
filter_args,
sizeof(filter_args),
"w=%d:h=%d:upscaler=ewa_lanczos:custom_shader_path=%s",
output_width,
output_height,
shader_path_string.c_str()
);
AVFilterContext *libplacebo_ctx;
ret = avfilter_graph_create_filter(
&libplacebo_ctx, libplacebo_filter, "libplacebo", filter_args, NULL, graph
);
if (ret < 0) {
fprintf(stderr, "Cannot create libplacebo filter\n");
av_buffer_unref(&hw_device_ctx);
avfilter_graph_free(&graph);
return ret;
}
// Set the hardware device context to Vulkan
libplacebo_ctx->hw_device_ctx = av_buffer_ref(hw_device_ctx);
// Link buffersrc to libplacebo
ret = avfilter_link(last_filter, 0, libplacebo_ctx, 0);
if (ret < 0) {
fprintf(stderr, "Error connecting buffersrc to libplacebo filter\n");
av_buffer_unref(&hw_device_ctx);
avfilter_graph_free(&graph);
return ret;
}
last_filter = libplacebo_ctx;
// Create buffer sink
const AVFilter *buffersink = avfilter_get_by_name("buffersink");
ret = avfilter_graph_create_filter(buffersink_ctx, buffersink, "out", NULL, NULL, graph);
if (ret < 0) {
fprintf(stderr, "Cannot create buffer sink\n");
av_buffer_unref(&hw_device_ctx);
avfilter_graph_free(&graph);
return ret;
}
// Link libplacebo to buffersink
ret = avfilter_link(last_filter, 0, *buffersink_ctx, 0);
if (ret < 0) {
fprintf(stderr, "Error connecting libplacebo filter to buffersink\n");
av_buffer_unref(&hw_device_ctx);
avfilter_graph_free(&graph);
return ret;
}
// Configure the filter graph
ret = avfilter_graph_config(graph, NULL);
if (ret < 0) {
fprintf(stderr, "Error configuring the filter graph\n");
av_buffer_unref(&hw_device_ctx);
avfilter_graph_free(&graph);
return ret;
}
*filter_graph = graph;
*device_ctx = hw_device_ctx;
return 0;
}

139
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#include <cstdio>
extern "C" {
#include <libavcodec/avcodec.h>
#include <libavfilter/buffersink.h>
#include <libavfilter/buffersrc.h>
#include <libavutil/buffer.h>
}
#include "fsutils.h"
#include "libplacebo.h"
#include "libplacebo_filter.h"
LibplaceboFilter::LibplaceboFilter(int width, int height, const std::filesystem::path &shader_path)
: filter_graph(nullptr),
buffersrc_ctx(nullptr),
buffersink_ctx(nullptr),
device_ctx(nullptr),
output_width(width),
output_height(height),
shader_path(std::move(shader_path)) {}
LibplaceboFilter::~LibplaceboFilter() {
if (buffersrc_ctx) {
avfilter_free(buffersrc_ctx);
buffersrc_ctx = nullptr;
}
if (buffersink_ctx) {
avfilter_free(buffersink_ctx);
buffersink_ctx = nullptr;
}
if (device_ctx) {
av_buffer_unref(&device_ctx);
device_ctx = nullptr;
}
if (filter_graph) {
avfilter_graph_free(&filter_graph);
filter_graph = nullptr;
}
}
int LibplaceboFilter::init(AVCodecContext *dec_ctx, AVCodecContext *enc_ctx) {
// Construct the shader path
std::filesystem::path shader_full_path;
if (filepath_is_readable(shader_path)) {
// If the shader path is directly readable, use it
shader_full_path = shader_path;
} else {
// Construct the fallback path using std::filesystem
shader_full_path =
find_resource_file(std::filesystem::path("models") / (shader_path.string() + ".glsl"));
}
// Save the output time base
output_time_base = enc_ctx->time_base;
return init_libplacebo(
&filter_graph,
&buffersrc_ctx,
&buffersink_ctx,
&device_ctx,
dec_ctx,
output_width,
output_height,
shader_full_path
);
}
AVFrame *LibplaceboFilter::process_frame(AVFrame *input_frame) {
int ret;
// Get the filtered frame
AVFrame *output_frame = av_frame_alloc();
if (output_frame == nullptr) {
fprintf(stderr, "Failed to allocate output frame\n");
return nullptr;
}
// Feed the frame to the filter graph
ret = av_buffersrc_add_frame(buffersrc_ctx, input_frame);
if (ret < 0) {
fprintf(stderr, "Error while feeding the filter graph\n");
return nullptr;
}
ret = av_buffersink_get_frame(buffersink_ctx, output_frame);
if (ret < 0) {
av_frame_free(&output_frame);
if (ret != AVERROR(EAGAIN) && ret != AVERROR_EOF) {
char errbuf[AV_ERROR_MAX_STRING_SIZE];
av_strerror(ret, errbuf, sizeof(errbuf));
fprintf(stderr, "Error getting frame from filter graph: %s\n", errbuf);
return nullptr;
}
return (AVFrame *)-1;
}
// Rescale PTS to encoder's time base
output_frame->pts =
av_rescale_q(output_frame->pts, buffersink_ctx->inputs[0]->time_base, output_time_base);
// Return the processed frame to the caller
return output_frame;
}
int LibplaceboFilter::flush(std::vector<AVFrame *> &processed_frames) {
int ret = av_buffersrc_add_frame(buffersrc_ctx, nullptr); // Signal EOF to the filter graph
if (ret < 0) {
fprintf(stderr, "Error while flushing filter graph\n");
return ret;
}
// Retrieve all remaining frames from the filter graph
while (1) {
AVFrame *filt_frame = av_frame_alloc();
if (filt_frame == nullptr) {
return AVERROR(ENOMEM);
}
ret = av_buffersink_get_frame(buffersink_ctx, filt_frame);
if (ret == AVERROR(EAGAIN) || ret == AVERROR_EOF) {
av_frame_free(&filt_frame);
break;
}
if (ret < 0) {
av_frame_free(&filt_frame);
return ret;
}
// Rescale PTS to encoder's time base
filt_frame->pts =
av_rescale_q(filt_frame->pts, buffersink_ctx->inputs[0]->time_base, output_time_base);
// Add to processed frames
processed_frames.push_back(filt_frame);
}
return 0;
}

327
src/libvideo2x.cpp Normal file
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#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <cstdint>
// FFmpeg headers
extern "C" {
#include <libavcodec/avcodec.h>
#include <libavformat/avformat.h>
}
#include "decoder.h"
#include "encoder.h"
#include "filter.h"
#include "libplacebo_filter.h"
#include "libvideo2x.h"
#include "realesrgan_filter.h"
// Function to process frames using the selected filter (same as before)
int process_frames(
ProcessingStatus *status,
AVFormatContext *fmt_ctx,
AVFormatContext *ofmt_ctx,
AVCodecContext *dec_ctx,
AVCodecContext *enc_ctx,
Filter *filter,
int video_stream_index
) {
int ret;
AVPacket packet;
std::vector<AVFrame *> flushed_frames;
char errbuf[AV_ERROR_MAX_STRING_SIZE];
// Get the total number of frames in the video
AVStream *video_stream = fmt_ctx->streams[video_stream_index];
status->total_frames = video_stream->nb_frames;
// If nb_frames is not set, calculate total frames using duration and frame rate
if (status->total_frames == 0) {
int64_t duration = video_stream->duration;
AVRational frame_rate = video_stream->avg_frame_rate;
if (duration != AV_NOPTS_VALUE && frame_rate.num != 0 && frame_rate.den != 0) {
status->total_frames = duration * frame_rate.num / frame_rate.den;
}
}
// Get start time
status->start_time = time(NULL);
if (status->start_time == -1) {
perror("time");
}
AVFrame *frame = av_frame_alloc();
if (frame == nullptr) {
ret = AVERROR(ENOMEM);
goto end;
}
// Read frames from the input file
while (1) {
ret = av_read_frame(fmt_ctx, &packet);
if (ret < 0) {
break; // End of file or error
}
if (packet.stream_index == video_stream_index) {
// Send the packet to the decoder
ret = avcodec_send_packet(dec_ctx, &packet);
if (ret < 0) {
av_strerror(ret, errbuf, sizeof(errbuf));
fprintf(stderr, "Error sending packet to decoder: %s\n", errbuf);
av_packet_unref(&packet);
goto end;
}
// Receive and process frames from the decoder
while (1) {
ret = avcodec_receive_frame(dec_ctx, frame);
if (ret == AVERROR(EAGAIN) || ret == AVERROR_EOF) {
break;
} else if (ret < 0) {
av_strerror(ret, errbuf, sizeof(errbuf));
fprintf(stderr, "Error decoding video frame: %s\n", errbuf);
goto end;
}
// Process the frame using the selected filter
AVFrame *processed_frame = filter->process_frame(frame);
if (processed_frame != nullptr && processed_frame != (AVFrame *)-1) {
// Encode and write the processed frame
ret = encode_and_write_frame(processed_frame, enc_ctx, ofmt_ctx);
if (ret < 0) {
av_strerror(ret, errbuf, sizeof(errbuf));
fprintf(stderr, "Error encoding/writing frame: %s\n", errbuf);
av_frame_free(&processed_frame);
goto end;
}
av_frame_free(&processed_frame);
status->processed_frames++;
} else if (processed_frame != (AVFrame *)-1) {
fprintf(stderr, "Error processing frame\n");
goto end;
}
av_frame_unref(frame);
// Print the processing status
printf(
"\r[Video2X] Processing frame %ld/%ld (%.2f%%); time elapsed: %lds",
status->processed_frames,
status->total_frames,
status->processed_frames * 100.0 / status->total_frames,
time(NULL) - status->start_time
);
fflush(stdout);
}
}
av_packet_unref(&packet);
}
// Print a newline after processing all frames
printf("\n");
// Flush the filter
ret = filter->flush(flushed_frames);
if (ret < 0) {
av_strerror(ret, errbuf, sizeof(errbuf));
fprintf(stderr, "Error flushing filter: %s\n", errbuf);
goto end;
}
// Encode and write all flushed frames
for (AVFrame *&flushed_frame : flushed_frames) {
ret = encode_and_write_frame(flushed_frame, enc_ctx, ofmt_ctx);
if (ret < 0) {
av_strerror(ret, errbuf, sizeof(errbuf));
fprintf(stderr, "Error encoding/writing flushed frame: %s\n", errbuf);
av_frame_free(&flushed_frame);
flushed_frame = nullptr;
goto end;
}
av_frame_free(&flushed_frame);
flushed_frame = nullptr;
}
// Flush the encoder
ret = flush_encoder(enc_ctx, ofmt_ctx);
if (ret < 0) {
av_strerror(ret, errbuf, sizeof(errbuf));
fprintf(stderr, "Error flushing encoder: %s\n", errbuf);
goto end;
}
end:
av_frame_free(&frame);
// Free any flushed frames not yet freed
for (AVFrame *flushed_frame : flushed_frames) {
if (flushed_frame) {
av_frame_free(&flushed_frame);
}
}
return ret;
}
// Cleanup helper function
void cleanup(
AVFormatContext *fmt_ctx,
AVFormatContext *ofmt_ctx,
AVCodecContext *dec_ctx,
AVCodecContext *enc_ctx,
Filter *filter
) {
if (filter) {
delete filter;
}
if (dec_ctx) {
avcodec_free_context(&dec_ctx);
}
if (enc_ctx) {
avcodec_free_context(&enc_ctx);
}
if (fmt_ctx) {
avformat_close_input(&fmt_ctx);
}
if (ofmt_ctx && !(ofmt_ctx->oformat->flags & AVFMT_NOFILE)) {
avio_closep(&ofmt_ctx->pb);
}
if (ofmt_ctx) {
avformat_free_context(ofmt_ctx);
}
}
// Main function to process the video
extern "C" int process_video(
const char *input_filename,
const char *output_filename,
const FilterConfig *filter_config,
EncoderConfig *encoder_config,
ProcessingStatus *status
) {
AVFormatContext *fmt_ctx = nullptr;
AVFormatContext *ofmt_ctx = nullptr;
AVCodecContext *dec_ctx = nullptr;
AVCodecContext *enc_ctx = nullptr;
Filter *filter = nullptr;
int video_stream_index = -1;
int ret = 0; // Initialize ret with 0 to assume success
// Initialize input
if (init_decoder(input_filename, &fmt_ctx, &dec_ctx, &video_stream_index) < 0) {
fprintf(stderr, "Failed to initialize decoder\n");
cleanup(fmt_ctx, ofmt_ctx, dec_ctx, enc_ctx, filter);
return 1;
}
// Initialize output based on Libplacebo or RealESRGAN configuration
int output_width = 0, output_height = 0;
switch (filter_config->filter_type) {
case FILTER_LIBPLACEBO:
output_width = filter_config->config.libplacebo.output_width;
output_height = filter_config->config.libplacebo.output_height;
break;
case FILTER_REALESRGAN:
// Calculate the output dimensions based on the scaling factor
output_width = dec_ctx->width * filter_config->config.realesrgan.scaling_factor;
output_height = dec_ctx->height * filter_config->config.realesrgan.scaling_factor;
}
// Initialize output encoder
encoder_config->output_width = output_width;
encoder_config->output_height = output_height;
if (init_encoder(output_filename, &ofmt_ctx, &enc_ctx, dec_ctx, encoder_config) < 0) {
fprintf(stderr, "Failed to initialize encoder\n");
cleanup(fmt_ctx, ofmt_ctx, dec_ctx, enc_ctx, filter);
return 1;
}
// Write the output file header
if (avformat_write_header(ofmt_ctx, NULL) < 0) {
fprintf(stderr, "Error occurred when opening output file\n");
cleanup(fmt_ctx, ofmt_ctx, dec_ctx, enc_ctx, filter);
return 1;
}
// Create and initialize the appropriate filter
switch (filter_config->filter_type) {
case FILTER_LIBPLACEBO: {
const auto &config = filter_config->config.libplacebo;
// Validate shader path
if (!config.shader_path) {
fprintf(stderr, "Shader path must be provided for the libplacebo filter\n");
cleanup(fmt_ctx, ofmt_ctx, dec_ctx, enc_ctx, filter);
return 1;
}
// Validate output dimensions
if (config.output_width <= 0 || config.output_height <= 0) {
fprintf(stderr, "Output dimensions must be provided for the libplacebo filter\n");
cleanup(fmt_ctx, ofmt_ctx, dec_ctx, enc_ctx, filter);
return 1;
}
filter = new LibplaceboFilter(
config.output_width, config.output_height, std::filesystem::path(config.shader_path)
);
break;
}
case FILTER_REALESRGAN: {
const auto &config = filter_config->config.realesrgan;
// Validate model name
if (!config.model) {
fprintf(stderr, "Model name must be provided for the RealESRGAN filter\n");
cleanup(fmt_ctx, ofmt_ctx, dec_ctx, enc_ctx, filter);
return 1;
}
// Validate scaling factor
if (config.scaling_factor <= 0) {
fprintf(stderr, "Scaling factor must be provided for the RealESRGAN filter\n");
cleanup(fmt_ctx, ofmt_ctx, dec_ctx, enc_ctx, filter);
return 1;
}
filter = new RealesrganFilter(
config.gpuid, config.tta_mode, config.scaling_factor, config.model
);
break;
}
default:
fprintf(stderr, "Unknown filter type\n");
cleanup(fmt_ctx, ofmt_ctx, dec_ctx, enc_ctx, filter);
return 1;
}
// Initialize the filter
if (filter->init(dec_ctx, enc_ctx) < 0) {
fprintf(stderr, "Failed to initialize filter\n");
cleanup(fmt_ctx, ofmt_ctx, dec_ctx, enc_ctx, filter);
return 1;
}
// Process frames
if ((ret =
process_frames(status, fmt_ctx, ofmt_ctx, dec_ctx, enc_ctx, filter, video_stream_index)
) < 0) {
fprintf(stderr, "Error processing frames\n");
cleanup(fmt_ctx, ofmt_ctx, dec_ctx, enc_ctx, filter);
return 1;
}
// Write the output file trailer
av_write_trailer(ofmt_ctx);
// Cleanup before returning
cleanup(fmt_ctx, ofmt_ctx, dec_ctx, enc_ctx, filter);
if (ret < 0 && ret != AVERROR_EOF) {
char errbuf[AV_ERROR_MAX_STRING_SIZE];
av_strerror(ret, errbuf, sizeof(errbuf));
fprintf(stderr, "Error occurred: %s\n", errbuf);
return 1;
}
return 0;
}

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#include <cstdint>
#include <cstdio>
#include <filesystem>
#include <string>
extern "C" {
#include <libavcodec/avcodec.h>
#include <libavutil/avutil.h>
#include <libavutil/imgutils.h>
}
#include "conversions.h"
#include "fsutils.h"
#include "realesrgan.h"
#include "realesrgan_filter.h"
RealesrganFilter::RealesrganFilter(
int gpuid,
bool tta_mode,
int scaling_factor,
const char *model,
const std::filesystem::path custom_model_param_path,
const std::filesystem::path custom_model_bin_path
)
: realesrgan(nullptr),
gpuid(gpuid),
tta_mode(tta_mode),
scaling_factor(scaling_factor),
model(model),
custom_model_param_path(std::move(custom_model_param_path)),
custom_model_bin_path(std::move(custom_model_bin_path)) {}
RealesrganFilter::~RealesrganFilter() {
if (realesrgan) {
delete realesrgan;
realesrgan = nullptr;
}
}
int RealesrganFilter::init(AVCodecContext *dec_ctx, AVCodecContext *enc_ctx) {
// Construct the model paths using std::filesystem
std::filesystem::path model_param_path;
std::filesystem::path model_bin_path;
if (model) {
// Find the model paths by model name if provided
model_param_path = std::filesystem::path("models") /
(std::string(model) + "-x" + std::to_string(scaling_factor) + ".param");
model_bin_path = std::filesystem::path("models") /
(std::string(model) + "-x" + std::to_string(scaling_factor) + ".bin");
} else if (!custom_model_param_path.empty() && !custom_model_bin_path.empty()) {
// Use the custom model paths if provided
model_param_path = custom_model_param_path;
model_bin_path = custom_model_bin_path;
} else {
// Neither model name nor custom model paths provided
fprintf(stderr, "Model or model paths must be provided for RealESRGAN filter\n");
return -1;
}
// Get the full paths using a function that possibly modifies or validates the path
std::filesystem::path model_param_full_path = find_resource_file(model_param_path);
std::filesystem::path model_bin_full_path = find_resource_file(model_bin_path);
// Create a new RealESRGAN instance
realesrgan = new RealESRGAN(gpuid, tta_mode);
// Store the time bases
input_time_base = dec_ctx->time_base;
output_time_base = enc_ctx->time_base;
output_pix_fmt = enc_ctx->pix_fmt;
// Load the model
if (realesrgan->load(model_param_full_path, model_bin_full_path) != 0) {
fprintf(stderr, "Failed to load RealESRGAN model\n");
return -1;
}
// Set RealESRGAN parameters
realesrgan->scale = scaling_factor;
realesrgan->prepadding = 10;
// Calculate tilesize based on GPU heap budget
uint32_t heap_budget = ncnn::get_gpu_device(gpuid)->get_heap_budget();
if (heap_budget > 1900) {
realesrgan->tilesize = 200;
} else if (heap_budget > 550) {
realesrgan->tilesize = 100;
} else if (heap_budget > 190) {
realesrgan->tilesize = 64;
} else {
realesrgan->tilesize = 32;
}
return 0;
}
AVFrame *RealesrganFilter::process_frame(AVFrame *input_frame) {
// Convert the input frame to RGB24
ncnn::Mat input_mat = avframe_to_ncnn_mat(input_frame);
if (input_mat.empty()) {
fprintf(stderr, "Failed to convert AVFrame to ncnn::Mat\n");
return nullptr;
}
// Allocate space for ouptut ncnn::Mat
int output_width = input_mat.w * realesrgan->scale;
int output_height = input_mat.h * realesrgan->scale;
ncnn::Mat output_mat = ncnn::Mat(output_width, output_height, (size_t)3, 3);
if (realesrgan->process(input_mat, output_mat) != 0) {
fprintf(stderr, "RealESRGAN processing failed\n");
return nullptr;
}
// Convert ncnn::Mat to AVFrame
AVFrame *output_frame = ncnn_mat_to_avframe(output_mat, output_pix_fmt);
// Rescale PTS to encoder's time base
output_frame->pts = av_rescale_q(input_frame->pts, input_time_base, output_time_base);
// Return the processed frame to the caller
return output_frame;
}
int RealesrganFilter::flush(std::vector<AVFrame *> &processed_frames) {
// No special flushing needed for RealESRGAN
return 0;
}

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#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <libavutil/pixdesc.h>
#include <libavutil/pixfmt.h>
#include <libvideo2x.h>
#include "getopt.h"
const char *VIDEO2X_VERSION = "6.0.0";
// Define command line options
static struct option long_options[] = {
// General options
{"input", required_argument, NULL, 'i'},
{"output", required_argument, NULL, 'o'},
{"filter", required_argument, NULL, 'f'},
{"version", no_argument, NULL, 'v'},
{"help", no_argument, NULL, 0},
// Encoder options
{"codec", required_argument, NULL, 'c'},
{"preset", required_argument, NULL, 'p'},
{"pixfmt", required_argument, NULL, 'x'},
{"bitrate", required_argument, NULL, 'b'},
{"crf", required_argument, NULL, 'q'},
// Libplacebo options
{"shader", required_argument, NULL, 's'},
{"width", required_argument, NULL, 'w'},
{"height", required_argument, NULL, 'h'},
// RealESRGAN options
{"gpuid", required_argument, NULL, 'g'},
{"model", required_argument, NULL, 'm'},
{"scale", required_argument, NULL, 'r'},
{0, 0, 0, 0}
};
// Structure to hold parsed arguments
struct arguments {
// General options
const char *input_filename;
const char *output_filename;
const char *filter_type;
// Encoder options
const char *codec;
const char *pix_fmt;
const char *preset;
int64_t bitrate;
float crf;
// libplacebo options
const char *shader_path;
int output_width;
int output_height;
// RealESRGAN options
int gpuid;
const char *model;
int scaling_factor;
};
const char *valid_models[] = {
"realesrgan-plus",
"realesrgan-plus-anime",
"realesr-animevideov3",
};
int is_valid_realesrgan_model(const char *model) {
if (!model) {
return 0;
}
for (int i = 0; i < sizeof(valid_models) / sizeof(valid_models[0]); i++) {
if (strcmp(model, valid_models[i]) == 0) {
return 1;
}
}
return 0;
}
void print_help() {
printf("Usage: video2x [OPTIONS]\n");
printf("\nGeneral Options:\n");
printf(" -i, --input Input video file path\n");
printf(" -o, --output Output video file path\n");
printf(" -f, --filter Filter to use: 'libplacebo' or 'realesrgan'\n");
printf(" -v, --version Print program version\n");
printf(" --help Display this help page\n");
printf("\nEncoder Options (Optional):\n");
printf(" -c, --codec Output codec (default: libx264)\n");
printf(" -p, --preset Encoder preset (default: veryslow)\n");
printf(" -x, --pixfmt Output pixel format (default: yuv420p)\n");
printf(" -b, --bitrate Bitrate in bits per second (default: 2000000)\n");
printf(" -q, --crf Constant Rate Factor (default: 17.0)\n");
printf("\nlibplacebo Options:\n");
printf(" -s, --shader Name or path to custom GLSL shader file\n");
printf(" -w, --width Output width\n");
printf(" -h, --height Output height\n");
printf("\nRealESRGAN Options:\n");
printf(" -g, --gpuid Vulkan GPU ID (default: 0)\n");
printf(" -m, --model Name of the model to use\n");
printf(" -r, --scale Scaling factor (2, 3, or 4)\n");
}
void parse_arguments(int argc, char **argv, struct arguments *arguments) {
int option_index = 0;
int c;
// Default argument values
arguments->input_filename = NULL;
arguments->output_filename = NULL;
arguments->filter_type = NULL;
// Encoder options
arguments->codec = "libx264";
arguments->preset = "veryslow";
arguments->pix_fmt = "yuv420p";
arguments->bitrate = 2 * 1000 * 1000;
arguments->crf = 17.0;
// libplacebo options
arguments->shader_path = NULL;
arguments->output_width = 0;
arguments->output_height = 0;
// RealESRGAN options
arguments->gpuid = 0;
arguments->model = NULL;
arguments->scaling_factor = 0;
while ((c = getopt_long(argc, argv, "i:o:f:c:x:p:b:q:s:w:h:r:m:v", long_options, &option_index)
) != -1) {
switch (c) {
case 'i':
arguments->input_filename = optarg;
break;
case 'o':
arguments->output_filename = optarg;
break;
case 'f':
arguments->filter_type = optarg;
break;
case 'c':
arguments->codec = optarg;
break;
case 'x':
arguments->pix_fmt = optarg;
break;
case 'p':
arguments->preset = optarg;
break;
case 'b':
arguments->bitrate = strtoll(optarg, NULL, 10);
if (arguments->bitrate <= 0) {
fprintf(stderr, "Error: Invalid bitrate specified.\n");
exit(1);
}
break;
case 'q':
arguments->crf = atof(optarg);
if (arguments->crf < 0.0 || arguments->crf > 51.0) {
fprintf(stderr, "Error: CRF must be between 0 and 51.\n");
exit(1);
}
break;
case 's':
arguments->shader_path = optarg;
break;
case 'w':
arguments->output_width = atoi(optarg);
if (arguments->output_width <= 0) {
fprintf(stderr, "Error: Output width must be greater than 0.\n");
exit(1);
}
break;
case 'h':
arguments->output_height = atoi(optarg);
if (arguments->output_height <= 0) {
fprintf(stderr, "Error: Output height must be greater than 0.\n");
exit(1);
}
break;
case 'g':
arguments->gpuid = atoi(optarg);
break;
case 'm':
arguments->model = optarg;
if (!is_valid_realesrgan_model(arguments->model)) {
fprintf(
stderr,
"Error: Invalid model specified. Must be 'realesrgan-plus', 'realesrgan-plus-anime', or 'realesr-animevideov3'.\n"
);
exit(1);
}
break;
case 'r':
arguments->scaling_factor = atoi(optarg);
if (arguments->scaling_factor != 2 && arguments->scaling_factor != 3 &&
arguments->scaling_factor != 4) {
fprintf(stderr, "Error: Scaling factor must be 2, 3, or 4.\n");
exit(1);
}
break;
case 'v':
printf("video2x %s\n", VIDEO2X_VERSION);
exit(0);
case 0: // Long-only options without short equivalents (e.g., help)
if (strcmp(long_options[option_index].name, "help") == 0) {
print_help();
exit(0);
}
break;
default:
fprintf(stderr, "Invalid options provided.\n");
exit(1);
}
}
// Check for required arguments
if (!arguments->input_filename || !arguments->output_filename) {
fprintf(stderr, "Error: Input and output files are required.\n");
exit(1);
}
if (!arguments->filter_type) {
fprintf(stderr, "Error: Filter type is required (libplacebo or realesrgan).\n");
exit(1);
}
if (strcmp(arguments->filter_type, "libplacebo") == 0) {
if (!arguments->shader_path || arguments->output_width == 0 ||
arguments->output_height == 0) {
fprintf(
stderr,
"Error: For libplacebo, shader name/path (-s), width (-w), and height (-e) are required.\n"
);
exit(1);
}
} else if (strcmp(arguments->filter_type, "realesrgan") == 0) {
if (arguments->scaling_factor == 0 || !arguments->model) {
fprintf(
stderr, "Error: For realesrgan, scaling factor (-r) and model (-m) are required.\n"
);
exit(1);
}
}
}
int main(int argc, char **argv) {
struct arguments arguments;
parse_arguments(argc, argv, &arguments);
// Setup filter configurations based on the parsed arguments
struct FilterConfig filter_config;
if (strcmp(arguments.filter_type, "libplacebo") == 0) {
filter_config.filter_type = FILTER_LIBPLACEBO;
filter_config.config.libplacebo.output_width = arguments.output_width;
filter_config.config.libplacebo.output_height = arguments.output_height;
filter_config.config.libplacebo.shader_path = arguments.shader_path;
} else if (strcmp(arguments.filter_type, "realesrgan") == 0) {
filter_config.filter_type = FILTER_REALESRGAN;
filter_config.config.realesrgan.gpuid = arguments.gpuid;
filter_config.config.realesrgan.tta_mode = 0;
filter_config.config.realesrgan.scaling_factor = arguments.scaling_factor;
filter_config.config.realesrgan.model = arguments.model;
} else {
fprintf(stderr, "Error: Invalid filter type specified.\n");
return 1;
}
// Parse codec to AVCodec
const AVCodec *codec = avcodec_find_encoder_by_name(arguments.codec);
if (!codec) {
fprintf(stderr, "Error: Codec '%s' not found.\n", arguments.codec);
return 1;
}
// Parse pixel format to AVPixelFormat
enum AVPixelFormat pix_fmt = av_get_pix_fmt(arguments.pix_fmt);
if (pix_fmt == AV_PIX_FMT_NONE) {
fprintf(stderr, "Error: Invalid pixel format '%s'.\n", arguments.pix_fmt);
return 1;
}
// Setup encoder configuration
struct EncoderConfig encoder_config = {
.output_width = 0, // To be filled by libvideo2x
.output_height = 0, // To be filled by libvideo2x
.codec = codec->id,
.pix_fmt = pix_fmt,
.preset = arguments.preset,
.bit_rate = arguments.bitrate,
.crf = arguments.crf,
};
// Setup struct to store processing status
struct ProcessingStatus status = {0};
// Process the video
if (process_video(
arguments.input_filename,
arguments.output_filename,
&filter_config,
&encoder_config,
&status
)) {
fprintf(stderr, "Video processing failed.\n");
return 1;
}
// Print processing summary
printf("====== Video2X Processing summary ======\n");
printf("Video file processed: %s\n", arguments.input_filename);
printf("Total frames processed: %ld\n", status.processed_frames);
printf("Total time taken: %lds\n", time(NULL) - status.start_time);
printf("Output written to: %s\n", arguments.output_filename);
return 0;
}

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#!/usr/bin/python
# -*- coding: utf-8 -*-
from pathlib import Path
import utils
from PIL import Image
from video2x import Upscaler, Video2X
def test_upscaling():
video2x = Video2X()
output_path = Path("tests/data/test_video_output.mp4")
video2x.upscale(
Path("tests/data/test_video.mp4"),
output_path,
None,
720,
3,
5,
0,
"waifu2x",
)
output_path.unlink()
def test_upscale_image():
# initialize upscaler instance
upscaler = Upscaler()
image = Image.open("tests/data/test_image.png")
upscaled_image = upscaler.upscale_image(image, 1680, 960, "waifu2x", 3)
reference_image = Image.open("tests/data/test_image_ref.png")
assert utils.get_image_diff(upscaled_image, reference_image) < 0.5
def test_get_scaling_tasks():
dimensions = [320, 240, 3840, 2160]
for algorithm, correct_answer in [
("waifu2x", [2, 2, 2, 2]),
["srmd", [3, 4]],
("realsr", [4, 4]),
("realcugan", [3, 4]),
]:
assert Upscaler._get_scaling_tasks(*dimensions, algorithm) == correct_answer

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from PIL import Image, ImageChops, ImageStat
def get_image_diff(image0: Image.Image, image1: Image.Image) -> float:
"""
calculate the percentage of differences between two images
:param image0 Image.Image: the first frame
:param image1 Image.Image: the second frame
:rtype float: the percent difference between the two images
"""
difference = ImageChops.difference(image0, image1)
difference_stat = ImageStat.Stat(difference)
percent_diff = sum(difference_stat.mean) / (len(difference_stat.mean) * 255) * 100
return percent_diff

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Subproject commit 790b1468acfcbfe6476febee9210cad7ba72e3f7

1
third_party/ncnn vendored Submodule

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Subproject commit 9b5f6a39b4a4962accaad58caa771487f61f732a

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Copyright (C) 2018-2024 K4YT3X and contributors.
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Name: Package Init
Author: K4YT3X <i@k4yt3x.com>
"""
# version assignment has to precede imports to
# prevent setup.cfg from producing import errors
__version__ = "5.0.0-beta7"
# flake8: noqa
# let flake8 ignore this file to avoid F401 warnings
# generated by the following lines
from .interpolator import Interpolator
from .upscaler import Upscaler
from .video2x import Video2X

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@ -1,232 +0,0 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Copyright (C) 2018-2024 K4YT3X and contributors.
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Name: Package Main
Author: K4YT3X <i@k4yt3x.com>
"""
import argparse
import os
import pathlib
import sys
from loguru import logger
from rich import print as rich_print
from . import __version__
from .video2x import LOGURU_FORMAT, Video2X
LEGAL_INFO = f"""Video2X\t\t{__version__}
Author:\t\tK4YT3X
License:\tGNU AGPL v3
Github Page:\thttps://github.com/k4yt3x/video2x
Contact:\ti@k4yt3x.com"""
# algorithms available for upscaling tasks
UPSCALING_ALGORITHMS = ["waifu2x", "srmd", "realsr", "realcugan", "anime4k"]
# algorithms available for frame interpolation tasks
INTERPOLATION_ALGORITHMS = ["rife"]
def parse_arguments() -> argparse.Namespace:
"""
parse command line arguments
:rtype argparse.Namespace: command parsing results
"""
parser = argparse.ArgumentParser(
prog="video2x",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
parser.add_argument(
"--version", help="show version information and exit", action="store_true"
)
parser.add_argument(
"-i",
"--input",
type=pathlib.Path,
help="input file/directory path",
required=True,
)
parser.add_argument(
"-o",
"--output",
type=pathlib.Path,
help="output file/directory path",
required=True,
)
parser.add_argument(
"-p", "--processes", type=int, help="number of processes to launch", default=1
)
parser.add_argument(
"-l",
"--loglevel",
choices=["trace", "debug", "info", "success", "warning", "error", "critical"],
default="info",
)
# upscaler arguments
action = parser.add_subparsers(
help="action to perform", dest="action", required=True
)
upscale = action.add_parser(
"upscale",
help="upscale a file",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
add_help=False,
)
upscale.add_argument(
"--help", action="help", help="show this help message and exit"
)
upscale.add_argument("-w", "--width", type=int, help="output width")
upscale.add_argument("-h", "--height", type=int, help="output height")
upscale.add_argument("-n", "--noise", type=int, help="denoise level", default=3)
upscale.add_argument(
"-a",
"--algorithm",
choices=UPSCALING_ALGORITHMS,
help="algorithm to use for upscaling",
default=UPSCALING_ALGORITHMS[0],
)
upscale.add_argument(
"-t",
"--threshold",
type=float,
help=(
"skip if the percent difference between two adjacent frames is below this"
" value; set to 0 to process all frames"
),
default=0,
)
# interpolator arguments
interpolate = action.add_parser(
"interpolate",
help="interpolate frames for file",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
add_help=False,
)
interpolate.add_argument(
"--help", action="help", help="show this help message and exit"
)
interpolate.add_argument(
"-a",
"--algorithm",
choices=INTERPOLATION_ALGORITHMS,
help="algorithm to use for upscaling",
default=INTERPOLATION_ALGORITHMS[0],
)
interpolate.add_argument(
"-t",
"--threshold",
type=float,
help=(
"skip if the percent difference between two adjacent frames exceeds this"
" value; set to 100 to interpolate all frames"
),
default=5,
)
return parser.parse_args()
def main() -> int:
"""
command line entrypoint for direct CLI invocation
:rtype int: 0 if completed successfully, else other int
"""
try:
# display version and lawful informaition
if "--version" in sys.argv:
rich_print(LEGAL_INFO)
return 0
# parse command line arguments
args = parse_arguments()
# check input/output file paths
if not args.input.exists():
logger.critical(f"Cannot find input file: {args.input}")
return 1
if not args.input.is_file():
logger.critical("Input path is not a file")
return 1
if not args.output.parent.exists():
logger.critical(f"Output directory does not exist: {args.output.parent}")
return 1
# set logger level
if os.environ.get("LOGURU_LEVEL") is None:
os.environ["LOGURU_LEVEL"] = args.loglevel.upper()
# remove default handler
logger.remove()
# add new sink with custom handler
logger.add(sys.stderr, colorize=True, format=LOGURU_FORMAT)
# print package version and copyright notice
logger.opt(colors=True).info(f"<magenta>Video2X {__version__}</magenta>")
logger.opt(colors=True).info(
"<magenta>Copyright (C) 2018-2024 K4YT3X and contributors.</magenta>"
)
# initialize video2x object
video2x = Video2X()
if args.action == "upscale":
video2x.upscale(
args.input,
args.output,
args.width,
args.height,
args.noise,
args.processes,
args.threshold,
args.algorithm,
)
elif args.action == "interpolate":
video2x.interpolate(
args.input,
args.output,
args.processes,
args.threshold,
args.algorithm,
)
# don't print the traceback for manual terminations
except KeyboardInterrupt:
return 2
except Exception as error:
logger.exception(error)
return 1
# if no exceptions were produced
else:
logger.success("Processing completed successfully")
return 0
if __name__ == "__main__":
sys.exit(main())

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Copyright (C) 2018-2024 K4YT3X and contributors.
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Name: Video Decoder
Author: K4YT3X <i@k4yt3x.com>
"""
import contextlib
import os
import pathlib
import signal
import subprocess
from multiprocessing import Queue
from queue import Full
from threading import Thread
import ffmpeg
from PIL import Image
from .pipe_printer import PipePrinter
# map Loguru log levels to FFmpeg log levels
LOGURU_FFMPEG_LOGLEVELS = {
"trace": "trace",
"debug": "debug",
"info": "info",
"success": "info",
"warning": "warning",
"error": "error",
"critical": "fatal",
}
class VideoDecoder:
"""
A video decoder that generates frames read from FFmpeg.
:param input_path pathlib.Path: the input file's path
:param input_width int: the input file's width
:param input_height int: the input file's height
:param frame_rate float: the input file's frame rate
:param pil_ignore_max_image_pixels bool: setting this to True
disables PIL's "possible DDoS" warning
"""
def __init__(
self,
input_path: pathlib.Path,
input_width: int,
input_height: int,
frame_rate: float,
pil_ignore_max_image_pixels: bool = True,
) -> None:
self.input_path = input_path
self.input_width = input_width
self.input_height = input_height
# this disables the "possible DDoS" warning
if pil_ignore_max_image_pixels is True:
Image.MAX_IMAGE_PIXELS = None
self.decoder = subprocess.Popen(
ffmpeg.compile(
ffmpeg.input(input_path, r=frame_rate)["v"]
.output("pipe:1", format="rawvideo", pix_fmt="rgb24")
.global_args("-hide_banner")
.global_args("-nostats")
.global_args("-nostdin")
.global_args(
"-loglevel",
LOGURU_FFMPEG_LOGLEVELS.get(
os.environ.get("LOGURU_LEVEL", "INFO").lower()
),
),
overwrite_output=True,
),
env=dict(AV_LOG_FORCE_COLOR="TRUE", **os.environ),
stdin=subprocess.DEVNULL,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
)
# start the PIPE printer to start printing FFmpeg logs
self.pipe_printer = PipePrinter(self.decoder.stderr)
self.pipe_printer.start()
def __iter__(self):
# continue yielding while FFmpeg continues to produce output
# it is possible to use := for this block to be more concise
# but it is purposefully avoided to remain compatible with Python 3.7
buffer = self.decoder.stdout.read(3 * self.input_width * self.input_height)
while len(buffer) > 0:
# convert raw bytes into image object
frame = Image.frombytes(
"RGB", (self.input_width, self.input_height), buffer
)
# return this frame
yield frame
# read the next frame
buffer = self.decoder.stdout.read(3 * self.input_width * self.input_height)
# automatically self-join and clean up after iterations are done
self.join()
def kill(self):
self.decoder.send_signal(signal.SIGKILL)
def join(self):
# close PIPEs to prevent process from getting stuck
self.decoder.stdout.close()
self.decoder.stderr.close()
# wait for process to exit
self.decoder.wait()
# wait for PIPE printer to exit
self.pipe_printer.stop()
self.pipe_printer.join()
class VideoDecoderThread(Thread):
def __init__(
self, tasks_queue: Queue, decoder: VideoDecoder, processing_settings: tuple
):
super().__init__()
self.tasks_queue = tasks_queue
self.decoder = decoder
self.processing_settings = processing_settings
self.running = False
def run(self):
self.running = True
previous_frame = None
for frame_index, frame in enumerate(self.decoder):
while True:
# check for the stop signal
if self.running is False:
self.decoder.join()
return
with contextlib.suppress(Full):
self.tasks_queue.put(
(frame_index, previous_frame, frame, self.processing_settings),
timeout=0.1,
)
break
previous_frame = frame
def stop(self):
self.running = False

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Copyright (C) 2018-2024 K4YT3X and contributors.
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Name: Video Encoder
Author: K4YT3X <i@k4yt3x.com>
"""
import os
import pathlib
import signal
import subprocess
import ffmpeg
from PIL import Image
from .pipe_printer import PipePrinter
# map Loguru log levels to FFmpeg log levels
LOGURU_FFMPEG_LOGLEVELS = {
"trace": "trace",
"debug": "debug",
"info": "info",
"success": "info",
"warning": "warning",
"error": "error",
"critical": "fatal",
}
class VideoEncoder:
def __init__(
self,
input_path: pathlib.Path,
frame_rate: float,
output_path: pathlib.Path,
output_width: int,
output_height: int,
copy_audio: bool = True,
copy_subtitle: bool = True,
copy_data: bool = False,
copy_attachments: bool = False,
) -> None:
# create FFmpeg input for the original input video
original = ffmpeg.input(input_path)
# define frames as input
frames = ffmpeg.input(
"pipe:0",
format="rawvideo",
pix_fmt="rgb24",
s=f"{output_width}x{output_height}",
r=frame_rate,
)
# copy additional streams from original file
# https://ffmpeg.org/ffmpeg.html#Stream-specifiers-1
additional_streams = [
# original["1:v?"],
original["a?"] if copy_audio is True else None,
original["s?"] if copy_subtitle is True else None,
original["d?"] if copy_data is True else None,
original["t?"] if copy_attachments is True else None,
]
# run FFmpeg and produce final output
self.encoder = subprocess.Popen(
ffmpeg.compile(
ffmpeg.output(
frames,
*[s for s in additional_streams if s is not None],
str(output_path),
vcodec="libx264",
scodec="copy",
pix_fmt="yuv420p",
crf=17,
preset="veryslow",
# acodec="libfdk_aac",
# cutoff=18000,
r=frame_rate,
map_metadata=1,
metadata="comment=Processed with Video2X",
)
.global_args("-hide_banner")
.global_args("-nostats")
.global_args(
"-loglevel",
LOGURU_FFMPEG_LOGLEVELS.get(
os.environ.get("LOGURU_LEVEL", "INFO").lower()
),
),
overwrite_output=True,
),
env=dict(AV_LOG_FORCE_COLOR="TRUE", **os.environ),
stdin=subprocess.PIPE,
stderr=subprocess.PIPE,
)
# start the PIPE printer to start printing FFmpeg logs
self.pipe_printer = PipePrinter(self.encoder.stderr)
self.pipe_printer.start()
def kill(self):
self.encoder.send_signal(signal.SIGKILL)
def write(self, frame: Image.Image) -> None:
"""
write a frame into FFmpeg encoder's STDIN
:param frame Image.Image: the Image object to use for writing
"""
self.encoder.stdin.write(frame.tobytes())
def join(self) -> None:
"""
signal the encoder that all frames have been sent and the FFmpeg
should be instructed to wrap-up the processing
"""
# flush the remaining data in STDIN and STDERR
self.encoder.stdin.flush()
self.encoder.stderr.flush()
# close PIPEs to prevent process from getting stuck
self.encoder.stdin.close()
self.encoder.stderr.close()
# wait for process to exit
self.encoder.wait()
# wait for PIPE printer to exit
self.pipe_printer.stop()
self.pipe_printer.join()

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@ -1,100 +0,0 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Copyright (C) 2018-2024 K4YT3X and contributors.
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Name: Interpolator
Author: K4YT3X <i@k4yt3x.com>
"""
import time
from importlib import import_module
from loguru import logger
from PIL import ImageChops, ImageStat
from .processor import Processor
class Interpolator:
ALGORITHM_CLASSES = {"rife": "rife_ncnn_vulkan_python.rife_ncnn_vulkan.Rife"}
processor_objects = {}
def interpolate_image(self, image0, image1, difference_threshold, algorithm):
difference = ImageChops.difference(image0, image1)
difference_stat = ImageStat.Stat(difference)
difference_ratio = (
sum(difference_stat.mean) / (len(difference_stat.mean) * 255) * 100
)
if difference_ratio < difference_threshold:
processor_object = self.processor_objects.get(algorithm)
if processor_object is None:
module_name, class_name = self.ALGORITHM_CLASSES[algorithm].rsplit(
".", 1
)
processor_module = import_module(module_name)
processor_class = getattr(processor_module, class_name)
processor_object = processor_class(0)
self.processor_objects[algorithm] = processor_object
interpolated_image = processor_object.process(image0, image1)
else:
interpolated_image = image0
return interpolated_image
class InterpolatorProcessor(Processor, Interpolator):
def process(self) -> None:
task = self.tasks_queue.get()
while task is not None:
try:
if self.pause_flag.value is True:
time.sleep(0.1)
continue
(
frame_index,
image0,
image1,
(difference_threshold, algorithm),
) = task
if image0 is None:
task = self.tasks_queue.get()
continue
interpolated_image = self.interpolate_image(
image0, image1, difference_threshold, algorithm
)
if frame_index == 1:
self.processed_frames[0] = image0
self.processed_frames[frame_index * 2 - 1] = interpolated_image
self.processed_frames[frame_index * 2] = image1
task = self.tasks_queue.get()
except (SystemExit, KeyboardInterrupt):
break
except Exception as error:
logger.exception(error)
break

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Copyright (C) 2018-2024 K4YT3X and contributors.
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Name: PIPE Printer
Author: K4YT3X <i@k4yt3x.com>
"""
import os
import sys
import threading
import time
from typing import IO
class PipePrinter(threading.Thread):
def __init__(self, stderr: IO[bytes]) -> None:
threading.Thread.__init__(self)
self.stderr = stderr
self.running = False
# set read mode to non-blocking
os.set_blocking(self.stderr.fileno(), False)
def _print_output(self) -> None:
output = self.stderr.read()
if output is not None and len(output) != 0:
print(output.decode(), file=sys.stderr)
def run(self) -> None:
self.running = True
# keep printing contents in the PIPE
while self.running is True:
time.sleep(0.5)
try:
self._print_output()
# pipe closed
except ValueError:
break
return super().run()
def stop(self) -> None:
self.running = False

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Copyright (C) 2018-2024 K4YT3X and contributors.
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Name: Processor Abstract Class
Author: K4YT3X <i@k4yt3x.com>
"""
from abc import ABC, abstractmethod
from multiprocessing import Queue
from multiprocessing.managers import DictProxy
from multiprocessing.sharedctypes import Synchronized
from PIL import Image, ImageChops, ImageStat
class Processor(ABC):
def __init__(
self, tasks_queue: Queue, processed_frames: DictProxy, pause_flag: Synchronized
) -> None:
self.tasks_queue = tasks_queue
self.processed_frames = processed_frames
self.pause_flag = pause_flag
@abstractmethod
def process(self):
raise NotImplementedError
@staticmethod
def get_image_diff(image0: Image.Image, image1: Image.Image) -> float:
"""
get the percentage difference between two images
:param image0 Image.Image: the image to compare
:param image1 Image.Image: the image to compare against
:rtype float: precentage difference between two frames
"""
difference_stat = ImageStat.Stat(ImageChops.difference(image0, image1))
return sum(difference_stat.mean) / (len(difference_stat.mean) * 255) * 100
"""
def run(
self,
) -> None:
self.running = True
while self.running is True:
self.process()
self.running = False
return super().run()
def stop(self, _signal_number, _frame) -> None:
self.running = False
"""

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Copyright (C) 2018-2024 K4YT3X and contributors.
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Name: Upscaler
Author: K4YT3X <i@k4yt3x.com>
"""
import math
import time
from importlib import import_module
from PIL import Image
from .processor import Processor
class Upscaler:
# fixed scaling ratios supported by the algorithms
# that only support certain fixed scale ratios
ALGORITHM_FIXED_SCALING_RATIOS = {
"anime4k": [-1],
"realcugan": [1, 2, 3, 4],
"realsr": [4],
"srmd": [2, 3, 4],
"waifu2x": [1, 2],
}
ALGORITHM_CLASSES = {
"anime4k": "anime4k_python.Anime4K",
"realcugan": "realcugan_ncnn_vulkan_python.Realcugan",
"realsr": "realsr_ncnn_vulkan_python.Realsr",
"srmd": "srmd_ncnn_vulkan_python.Srmd",
"waifu2x": "waifu2x_ncnn_vulkan_python.Waifu2x",
}
processor_objects = {}
@staticmethod
def _get_scaling_tasks(
input_width: int,
input_height: int,
output_width: int,
output_height: int,
algorithm: str,
) -> list:
"""
Get the required tasks for upscaling the image until it is larger than
or equal to the desired output dimensions. For example, SRMD only supports
2x, 3x, and 4x, so upsclaing an image from 320x240 to 3840x2160 will
require the SRMD to run 3x then 4x. In this case, this function will
return [3, 4].
:param input_width int: input image width
:param input_height int: input image height
:param output_width int: desired output image width
:param output_height int: desired output image size
:param algorithm str: upsclaing algorithm
:rtype list: the list of upsclaing tasks required
"""
# calculate required minimum scale ratio
output_scale = max(output_width / input_width, output_height / input_height)
# select the optimal algorithm scaling ratio to use
supported_scaling_ratios = sorted(
Upscaler.ALGORITHM_FIXED_SCALING_RATIOS[algorithm]
)
remaining_scaling_ratio = math.ceil(output_scale)
# if the scaling ratio is 1.0
# apply the smallest scaling ratio available
if remaining_scaling_ratio == 1:
return [supported_scaling_ratios[0]]
# if the processor supports arbitrary scales
# return only one job
if supported_scaling_ratios[0] == -1:
return [remaining_scaling_ratio]
scaling_jobs = []
while remaining_scaling_ratio > 1:
for ratio in supported_scaling_ratios:
if ratio >= remaining_scaling_ratio:
scaling_jobs.append(ratio)
remaining_scaling_ratio /= ratio
break
else:
found = False
for i in supported_scaling_ratios:
for j in supported_scaling_ratios:
if i * j >= remaining_scaling_ratio:
scaling_jobs.extend([i, j])
remaining_scaling_ratio /= i * j
found = True
break
if found is True:
break
if found is False:
scaling_jobs.append(supported_scaling_ratios[-1])
remaining_scaling_ratio /= supported_scaling_ratios[-1]
return scaling_jobs
def upscale_image(
self,
image: Image.Image,
output_width: int,
output_height: int,
algorithm: str,
noise: int,
) -> Image.Image:
"""
upscale an image
:param image Image.Image: the image to upscale
:param output_width int: the desired output width
:param output_height int: the desired output height
:param algorithm str: the algorithm to use
:param noise int: the noise level (available only for some algorithms)
:rtype Image.Image: the upscaled image
"""
width, height = image.size
for task in self._get_scaling_tasks(
width, height, output_width, output_height, algorithm
):
# select a processor object with the required settings
# create a new object if none are available
processor_object = self.processor_objects.get((algorithm, task))
if processor_object is None:
module_name, class_name = self.ALGORITHM_CLASSES[algorithm].rsplit(
".", 1
)
processor_module = import_module(module_name)
processor_class = getattr(processor_module, class_name)
processor_object = processor_class(noise=noise, scale=task)
self.processor_objects[(algorithm, task)] = processor_object
# process the image with the selected algorithm
image = processor_object.process(image)
# downscale the image to the desired output size and
# save the image to disk
return image.resize((output_width, output_height), Image.Resampling.LANCZOS)
class UpscalerProcessor(Processor, Upscaler):
def process(self) -> None:
task = self.tasks_queue.get()
while task is not None:
try:
if self.pause_flag.value is True:
time.sleep(0.1)
continue
# unpack the task's values
(
frame_index,
previous_frame,
current_frame,
(output_width, output_height, algorithm, noise, threshold),
) = task
# calculate the %diff between the current frame and the previous frame
difference_ratio = 0
if previous_frame is not None:
difference_ratio = self.get_image_diff(
previous_frame, current_frame
)
# if the difference is lower than threshold, skip this frame
if difference_ratio < threshold:
# make the current image the same as the previous result
self.processed_frames[frame_index] = True
# if the difference is greater than threshold
# process this frame
else:
self.processed_frames[frame_index] = self.upscale_image(
current_frame, output_width, output_height, algorithm, noise
)
task = self.tasks_queue.get()
except KeyboardInterrupt:
break

View File

@ -1,462 +0,0 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
r"""
Copyright (C) 2018-2024 K4YT3X and contributors.
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
__ __ _ _ ___ __ __
\ \ / / (_) | | |__ \ \ \ / /
\ \ / / _ __| | ___ ___ ) | \ V /
\ \/ / | | / _` | / _ \ / _ \ / / > <
\ / | | | (_| | | __/ | (_) | / /_ / . \
\/ |_| \__,_| \___| \___/ |____| /_/ \_\
Name: Video2X
Author: K4YT3X <i@k4yt3x.com>
Maintainer: BrianPetkovsek
Maintainer: SAT3LL
Maintainer: 28598519a
"""
import ctypes
import math
import signal
import sys
import time
from enum import Enum
from importlib import import_module
from multiprocessing import Manager, Pool, Queue, Value
from pathlib import Path
from typing import Callable, Optional
import cv2
import ffmpeg
from loguru import logger
from rich.console import Console
from rich.file_proxy import FileProxy
from rich.progress import (
BarColumn,
Progress,
ProgressColumn,
Task,
TimeElapsedColumn,
TimeRemainingColumn,
)
from rich.text import Text
from video2x.processor import Processor
from . import __version__
from .decoder import VideoDecoder, VideoDecoderThread
from .encoder import VideoEncoder
from .interpolator import Interpolator, InterpolatorProcessor
from .upscaler import Upscaler, UpscalerProcessor
# for desktop environments only
# if pynput can be loaded, enable global pause hotkey support
try:
from pynput.keyboard import HotKey, Listener
except ImportError:
ENABLE_HOTKEY = False
else:
ENABLE_HOTKEY = True
# format string for Loguru loggers
LOGURU_FORMAT = (
"<green>{time:HH:mm:ss.SSSSSS!UTC}</green> | "
"<level>{level: <8}</level> | "
"<level>{message}</level>"
)
class ProcessingSpeedColumn(ProgressColumn):
"""Custom progress bar column that displays the processing speed"""
def render(self, task: Task) -> Text:
speed = task.finished_speed or task.speed
return Text(
f"{round(speed, 2) if isinstance(speed, float) else '?'} FPS",
style="progress.data.speed",
)
class ProcessingMode(Enum):
UPSCALE = {"label": "Upscaling", "processor": UpscalerProcessor}
INTERPOLATE = {"label": "Interpolating", "processor": InterpolatorProcessor}
class Video2X:
"""
Video2X class
provides two vital functions:
- upscale: perform upscaling on a file
- interpolate: perform motion interpolation on a file
"""
def __init__(self, progress_callback: Optional[Callable] = None) -> None:
self.version = __version__
self.progress_callback = progress_callback
@staticmethod
def _get_video_info(path: Path) -> tuple:
"""
get video file information with FFmpeg
:param path Path: video file path
:raises RuntimeError: raised when video stream isn't found
"""
# probe video file info
logger.info("Reading input video information")
for stream in ffmpeg.probe(path)["streams"]:
if stream["codec_type"] == "video":
video_info = stream
break
else:
raise RuntimeError("unable to find video stream")
# get total number of frames to be processed
capture = cv2.VideoCapture(str(path))
# check if file is opened successfully
if not capture.isOpened():
raise RuntimeError("OpenCV has failed to open the input file")
total_frames = int(capture.get(cv2.CAP_PROP_FRAME_COUNT))
frame_rate = capture.get(cv2.CAP_PROP_FPS)
return video_info["width"], video_info["height"], total_frames, frame_rate
def _run(
self,
input_path: Path,
width: int,
height: int,
total_frames: int,
frame_rate: float,
output_path: Path,
output_width: int,
output_height: int,
mode: ProcessingMode,
processes: int,
processing_settings: tuple,
) -> None:
# process by directly invoking the
# if the selected algorithm does not support frameserving
if mode == ProcessingMode.UPSCALE:
standalone_processor_path: str = Upscaler.ALGORITHM_CLASSES[
processing_settings[2]
]
module_name, class_name = standalone_processor_path.rsplit(".", 1)
processor_module = import_module(module_name)
standalone_processor = getattr(processor_module, class_name)
if getattr(standalone_processor, "process", None) is None:
logger.warning("No progress bar available for this processor")
standalone_processor().process_video(
input_path,
output_path,
width,
height,
output_width=output_width,
output_height=output_height,
)
return
# elif mode == ProcessingMode.INTERPOLATE:
else:
standalone_processor_path: str = Interpolator.ALGORITHM_CLASSES[
processing_settings[1]
]
module_name, class_name = standalone_processor_path.rsplit(".", 1)
processor_module = import_module(module_name)
standalone_processor = getattr(processor_module, class_name)
if getattr(standalone_processor, "process", None) is None:
logger.warning("No progress bar available for this processor")
standalone_processor().process_video(
input_path, output_path, frame_rate=frame_rate
)
return
# record original STDOUT and STDERR for restoration
original_stdout = sys.stdout
original_stderr = sys.stderr
# create console for rich's Live display
console = Console()
# redirect STDOUT and STDERR to console
sys.stdout = FileProxy(console, sys.stdout)
sys.stderr = FileProxy(console, sys.stderr)
# re-add Loguru to point to the new STDERR
logger.remove()
logger.add(sys.stderr, colorize=True, format=LOGURU_FORMAT)
# TODO: add docs
tasks_queue = Queue(maxsize=processes * 10)
processed_frames = Manager().dict()
pause_flag = Value(ctypes.c_bool, False)
# set up and start decoder thread
logger.info("Starting video decoder")
decoder = VideoDecoder(
input_path,
width,
height,
frame_rate,
)
decoder_thread = VideoDecoderThread(tasks_queue, decoder, processing_settings)
decoder_thread.start()
# set up and start encoder thread
logger.info("Starting video encoder")
encoder = VideoEncoder(
input_path,
frame_rate * 2 if mode == ProcessingMode.INTERPOLATE else frame_rate,
output_path,
output_width,
output_height,
)
# create a pool of processor processes to process the queue
processor: Processor = mode.value["processor"](
tasks_queue, processed_frames, pause_flag
)
processor_pool = Pool(processes, processor.process)
# create progress bar
self.progress = Progress(
"[progress.description]{task.description}",
BarColumn(complete_style="blue", finished_style="green"),
"[progress.percentage]{task.percentage:>3.0f}%",
"[color(240)]({task.completed}/{task.total})",
ProcessingSpeedColumn(),
TimeElapsedColumn(),
"<",
TimeRemainingColumn(),
console=console,
speed_estimate_period=300.0,
disable=True,
)
task = self.progress.add_task(
f"[cyan]{mode.value['label']}", total=total_frames
)
def _toggle_pause(_signal_number: int = -1, _frame=None):
# allow the closure to modify external immutable flag
nonlocal pause_flag
# print console messages and update the progress bar's status
if pause_flag.value is False:
self.progress.update(
task, description=f"[cyan]{mode.value['label']} (paused)"
)
self.progress.stop_task(task)
logger.warning("Processing paused, press Ctrl+Alt+V again to resume")
# the lock is already acquired
elif pause_flag.value is True:
self.progress.update(task, description=f"[cyan]{mode.value['label']}")
logger.warning("Resuming processing")
self.progress.start_task(task)
# invert the flag
with pause_flag.get_lock():
pause_flag.value = not pause_flag.value
# allow sending SIGUSR1 to pause/resume processing
signal.signal(signal.SIGUSR1, _toggle_pause)
# enable global pause hotkey if it's supported
if ENABLE_HOTKEY is True:
# create global pause hotkey
pause_hotkey = HotKey(HotKey.parse("<ctrl>+<alt>+v"), _toggle_pause)
# create global keyboard input listener
keyboard_listener = Listener(
on_press=(
lambda key: pause_hotkey.press(keyboard_listener.canonical(key))
),
on_release=(
lambda key: pause_hotkey.release(keyboard_listener.canonical(key))
),
)
# start monitoring global key presses
keyboard_listener.start()
# a temporary variable that stores the exception
exceptions = []
try:
# let the context manager automatically stop the progress bar
with self.progress:
frame_index = 0
while frame_index < total_frames:
current_frame = processed_frames.get(frame_index)
if pause_flag.value is True or current_frame is None:
time.sleep(0.1)
continue
# show the progress bar after the processing starts
# reduces speed estimation inaccuracies and print overlaps
if frame_index == 0:
self.progress.disable = False
self.progress.start()
if current_frame is True:
encoder.write(processed_frames.get(frame_index - 1))
else:
encoder.write(current_frame)
if frame_index > 0:
del processed_frames[frame_index - 1]
self.progress.update(task, completed=frame_index + 1)
if self.progress_callback is not None:
self.progress_callback(frame_index + 1, total_frames)
frame_index += 1
# if SIGTERM is received or ^C is pressed
except (SystemExit, KeyboardInterrupt) as error:
logger.warning("Exit signal received, exiting gracefully")
logger.warning("Press ^C again to force terminate")
exceptions.append(error)
except Exception as error:
logger.exception(error)
exceptions.append(error)
else:
logger.info("Processing has completed")
logger.info("Writing video trailer")
finally:
# stop keyboard listener
if ENABLE_HOTKEY is True:
keyboard_listener.stop()
keyboard_listener.join()
# if errors have occurred, kill the FFmpeg processes
if len(exceptions) > 0:
decoder.kill()
encoder.kill()
# stop the decoder
decoder_thread.stop()
decoder_thread.join()
# clear queue and signal processors to exit
# multiprocessing.Queue has no Queue.queue.clear
while tasks_queue.empty() is not True:
tasks_queue.get()
for _ in range(processes):
tasks_queue.put(None)
# close and join the process pool
processor_pool.close()
processor_pool.join()
# stop the encoder
encoder.join()
# restore original STDOUT and STDERR
sys.stdout = original_stdout
sys.stderr = original_stderr
# re-add Loguru to point to the restored STDERR
logger.remove()
logger.add(sys.stderr, colorize=True, format=LOGURU_FORMAT)
# raise the first collected error
if len(exceptions) > 0:
raise exceptions[0]
def upscale(
self,
input_path: Path,
output_path: Path,
output_width: int,
output_height: int,
noise: int,
processes: int,
threshold: float,
algorithm: str,
) -> None:
# get basic video information
width, height, total_frames, frame_rate = self._get_video_info(input_path)
# automatically calculate output width and height if only one is given
if output_width == 0 or output_width is None:
output_width = output_height / height * width
elif output_height == 0 or output_width is None:
output_height = output_width / width * height
# sanitize output width and height to be divisible by 2
output_width = int(math.ceil(output_width / 2.0) * 2)
output_height = int(math.ceil(output_height / 2.0) * 2)
# start processing
self._run(
input_path,
width,
height,
total_frames,
frame_rate,
output_path,
output_width,
output_height,
ProcessingMode.UPSCALE,
processes,
(
output_width,
output_height,
algorithm,
noise,
threshold,
),
)
def interpolate(
self,
input_path: Path,
output_path: Path,
processes: int,
threshold: float,
algorithm: str,
) -> None:
# get video basic information
width, height, original_frames, frame_rate = self._get_video_info(input_path)
# calculate the number of total output frames
total_frames = original_frames * 2 - 1
# start processing
self._run(
input_path,
width,
height,
total_frames,
frame_rate,
output_path,
width,
height,
ProcessingMode.INTERPOLATE,
processes,
(threshold, algorithm),
)