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feat(realcugan): add support for Real-CUGAN ncnn Vulkan (#1268)

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Signed-off-by: k4yt3x <i@k4yt3x.com>
This commit is contained in:
K4YT3X 2024-12-20 21:58:19 -05:00 committed by GitHub
parent e1e8d64056
commit 127d9e0019
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GPG Key ID: B5690EEEBB952194
54 changed files with 1469 additions and 30 deletions
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2
.github/workflows/build.yml vendored
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@ -54,7 +54,7 @@ jobs:
-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
cmake --build /tmp/build --config Debug --target install
- name: Upload artifacts
uses: actions/upload-artifact@v4

9
.gitmodules vendored
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@ -1,6 +1,3 @@
[submodule "third_party/librealesrgan_ncnn_vulkan"]
path = third_party/librealesrgan_ncnn_vulkan
url = https://github.com/k4yt3x/librealesrgan-ncnn-vulkan.git
[submodule "third_party/ncnn"]
path = third_party/ncnn
url = https://github.com/Tencent/ncnn.git
@ -10,6 +7,12 @@
[submodule "third_party/boost"]
path = third_party/boost
url = https://github.com/boostorg/boost.git
[submodule "third_party/librealesrgan_ncnn_vulkan"]
path = third_party/librealesrgan_ncnn_vulkan
url = https://github.com/k4yt3x/librealesrgan-ncnn-vulkan.git
[submodule "third_party/librealcugan_ncnn_vulkan"]
path = third_party/librealcugan_ncnn_vulkan
url = https://github.com/k4yt3x/librealcugan-ncnn-vulkan.git
[submodule "third_party/librife_ncnn_vulkan"]
path = third_party/librife_ncnn_vulkan
url = https://github.com/k4yt3x/librife-ncnn-vulkan.git

4
CHANGELOG.md
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@ -7,6 +7,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
## [Unreleased]
### Added
- Support for Real-CUGAN ncnn Vulkan (#1198).
### Changed
- Improve optimization flags and add namespaces for better code organization.

25
CMakeLists.txt
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@ -260,7 +260,20 @@ ExternalProject_Add(
INSTALL_COMMAND ${CMAKE_COMMAND} --build . --target install --config ${CMAKE_BUILD_TYPE}
)
# Add librealesrgan-ncnn-vulkan as an external project
# Add librealcugan-ncnn-vulkan as an external project
ExternalProject_Add(
realcugan
SOURCE_DIR ${PROJECT_SOURCE_DIR}/third_party/librealcugan_ncnn_vulkan/src
CMAKE_ARGS
-DCMAKE_BUILD_TYPE=${CMAKE_BUILD_TYPE}
-DCMAKE_INSTALL_PREFIX=${CMAKE_BINARY_DIR}/realcugan_install
-DCMAKE_POSITION_INDEPENDENT_CODE=ON
-DUSE_SYSTEM_NCNN=${USE_SYSTEM_NCNN}
BUILD_ALWAYS ON
INSTALL_COMMAND ${CMAKE_COMMAND} --build . --target install --config ${CMAKE_BUILD_TYPE}
)
# Add librife-ncnn-vulkan as an external project
ExternalProject_Add(
rife
SOURCE_DIR ${PROJECT_SOURCE_DIR}/third_party/librife_ncnn_vulkan/src
@ -290,7 +303,7 @@ else()
endif()
# Ensure that the shared library is built after the external projects
add_dependencies(libvideo2x realesrgan rife)
add_dependencies(libvideo2x realesrgan realcugan rife)
# Include directories for the shared library
target_include_directories(libvideo2x PRIVATE
@ -299,6 +312,7 @@ target_include_directories(libvideo2x PRIVATE
${PROJECT_SOURCE_DIR}/include
${PROJECT_SOURCE_DIR}/include/libvideo2x
${PROJECT_SOURCE_DIR}/third_party/librealesrgan_ncnn_vulkan/src
${PROJECT_SOURCE_DIR}/third_party/librealcugan_ncnn_vulkan/src
${PROJECT_SOURCE_DIR}/third_party/librife_ncnn_vulkan/src
)
@ -308,12 +322,14 @@ target_compile_options(libvideo2x PRIVATE -fPIC $<$<CONFIG:Debug>:-g -DDEBUG>)
# Define the paths to the shared libraries
if(WIN32)
set(REALESRGAN_LIB ${CMAKE_BINARY_DIR}/realesrgan_install/lib/librealesrgan-ncnn-vulkan.lib)
set(REALCUGAN_LIB ${CMAKE_BINARY_DIR}/realcugan_install/lib/librealcugan-ncnn-vulkan.lib)
set(RIFE_LIB ${CMAKE_BINARY_DIR}/rife_install/lib/librife-ncnn-vulkan.lib)
else()
set(REALESRGAN_LIB ${CMAKE_BINARY_DIR}/realesrgan_install/lib/librealesrgan-ncnn-vulkan.so)
set(REALCUGAN_LIB ${CMAKE_BINARY_DIR}/realcugan_install/lib/librealcugan-ncnn-vulkan.so)
set(RIFE_LIB ${CMAKE_BINARY_DIR}/rife_install/lib/librife-ncnn-vulkan.so)
endif()
list(APPEND LIBVIDEO2X_LIBS ${REALESRGAN_LIB} ${RIFE_LIB})
list(APPEND LIBVIDEO2X_LIBS ${REALESRGAN_LIB} ${REALCUGAN_LIB} ${RIFE_LIB})
# Link the shared library with the dependencies
target_link_libraries(libvideo2x PRIVATE ${LIBVIDEO2X_LIBS})
@ -403,6 +419,7 @@ if(WIN32)
file(GLOB FFMPEG_DLLS "${FFMPEG_BASE_PATH}/bin/*.dll")
install(FILES
${CMAKE_BINARY_DIR}/realesrgan_install/bin/librealesrgan-ncnn-vulkan.dll
${CMAKE_BINARY_DIR}/realcugan_install/bin/librealcugan-ncnn-vulkan.dll
${CMAKE_BINARY_DIR}/rife_install/bin/librife-ncnn-vulkan.dll
${FFMPEG_DLLS}
${NCNN_BASE_PATH}/bin/ncnn.dll
@ -413,7 +430,7 @@ if(WIN32)
WORLD_READ WORLD_EXECUTE
)
else()
install(FILES ${REALESRGAN_LIB} ${RIFE_LIB}
install(FILES ${REALESRGAN_LIB} ${REALCUGAN_LIB} ${RIFE_LIB}
DESTINATION ${INSTALL_LIB_DESTINATION}
PERMISSIONS OWNER_READ OWNER_WRITE OWNER_EXECUTE
GROUP_READ GROUP_EXECUTE

30
Makefile
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@ -1,7 +1,7 @@
.PHONY: build static debug windows windows-debug debian ubuntu clean \
test-realesrgan test-libplacebo test-rife \
memcheck-realesrgan memcheck-libplacebo memcheck-rife \
heaptrack-realesrgan heaptrack-libplacebo heaptrack-rife
test-realesrgan test-realcugan test-libplacebo test-rife \
memcheck-realesrgan memcheck-realcugan memcheck-libplacebo memcheck-rife \
heaptrack-realesrgan heaptrack-realcugan heaptrack-libplacebo heaptrack-rife
BINDIR=build
CXX=clang++
@ -130,6 +130,10 @@ test-realesrgan:
LD_LIBRARY_PATH=$(BINDIR) $(BINDIR)/video2x -i $(TEST_VIDEO) -o $(TEST_OUTPUT) \
-p realesrgan -s 4 --realesrgan-model realesr-animevideov3
test-realcugan:
LD_LIBRARY_PATH=$(BINDIR) $(BINDIR)/video2x -i $(TEST_VIDEO) -o $(TEST_OUTPUT) \
-p realcugan -s 4 -n 0 --realcugan-model models-se
test-libplacebo:
LD_LIBRARY_PATH=$(BINDIR) $(BINDIR)/video2x -i $(TEST_VIDEO) -o $(TEST_OUTPUT) \
-p libplacebo -w 1920 -h 1080 --libplacebo-shader anime4k-v4-a
@ -151,6 +155,19 @@ memcheck-realesrgan:
-p realesrgan -s 2 --realesrgan-model realesr-animevideov3 \
-e preset=veryfast -e crf=30
memcheck-realcugan:
LD_LIBRARY_PATH=$(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 $(TEST_VIDEO) -o $(TEST_OUTPUT) \
-p realcugan -s 2 -n 0 --realcugan-model models-se \
-e preset=veryfast -e crf=30
memcheck-libplacebo:
LD_LIBRARY_PATH=$(BINDIR) valgrind \
--tool=memcheck \
@ -184,6 +201,13 @@ heaptrack-realesrgan:
-p realesrgan -s 4 --realesrgan-model realesr-animevideov3 \
-e preset=veryfast -e crf=30
heaptrack-realcugan:
LD_LIBRARY_PATH=$(BINDIR) HEAPTRACK_ENABLE_DEBUGINFOD=1 heaptrack \
$(BINDIR)/video2x \
-i $(TEST_VIDEO) -o $(TEST_OUTPUT) \
-p realcugan -s 4 -n 0 --realcugan-model models-se \
-e preset=veryfast -e crf=30
heaptrack-libplacebo:
LD_LIBRARY_PATH=$(BINDIR) HEAPTRACK_ENABLE_DEBUGINFOD=1 heaptrack \
$(BINDIR)/video2x \

3
NOTICE
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@ -10,6 +10,9 @@ The source code can be found at https://github.com/bloc97/Anime4K.
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 Real-CUGAN ncnn Vulkan, which is available under the MIT License.
The source code can be found at https://github.com/nihui/realcugan-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.

12
README.md
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@ -27,15 +27,12 @@ Version 6.0.0 is a complete rewrite of this project in C/C++. It:
- genuinely works this time, with much less hassle compared to the 5.0.0 beta;
- is blazing fast, thanks to the new optimized pipeline and the efficiency of C/C++;
- is cross-platform, available now for both Windows and Linux;
- offers significantly better output quality with Anime4K v4, RealESRGAN, and RIFE;
- offers significantly better output quality with Anime4K v4, RealESRGAN, RealCUGAN, and RIFE;
- supports two modes: filtering (upscaling) and frame interpolation;
- supports Anime4K v4 and all custom MPV-compatible GLSL shaders;
- supports RealESRGAN (all three models) via ncnn and Vulkan;
- supports RIFE via ncnn and Vulkan; and
- supports RealESRGAN, RealCUGAN, and RIFE (all models) via ncnn and Vulkan;
- requires zero additional disk space during processing, just space for the final output.
Support for RealCUGAN is coming soon.
</details>
![6.2.0-screenshot](https://github.com/user-attachments/assets/68c6d65b-89a2-4553-a783-f5e663aa1313)
@ -108,10 +105,11 @@ This project includes or depends on these following projects:
| Project | License |
| ------------------------------------------------------------------------------------- | --------------- |
| [bloc97/Anime4K](https://github.com/bloc97/Anime4K) | MIT License |
| [FFmpeg/FFmpeg](https://www.ffmpeg.org/) | LGPLv2.1, GPLv2 |
| [nihui/rife-ncnn-vulkan](https://github.com/nihui/rife-ncnn-vulkan) | MIT License |
| [Tencent/ncnn](https://github.com/Tencent/ncnn) | BSD 3-Clause |
| [bloc97/Anime4K](https://github.com/bloc97/Anime4K) | MIT License |
| [nihui/realcugan-ncnn-vulkan](https://github.com/nihui/realcugan-ncnn-vulkan) | MIT License |
| [nihui/rife-ncnn-vulkan](https://github.com/nihui/rife-ncnn-vulkan) | MIT License |
| [xinntao/Real-ESRGAN-ncnn-vulkan](https://github.com/xinntao/Real-ESRGAN-ncnn-vulkan) | MIT License |
More licensing information can be found in the [NOTICE](NOTICE) file.

63
include/libvideo2x/filter_realcugan.h Normal file
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@ -0,0 +1,63 @@
#pragma once
extern "C" {
#include <libavcodec/avcodec.h>
}
#include "processor.h"
#include "realcugan.h"
namespace video2x {
namespace processors {
// FilterRealcugan class definition
class FilterRealcugan : public Filter {
public:
// Constructor
FilterRealcugan(
int gpuid = 0,
bool tta_mode = false,
int scaling_factor = 4,
int noise_level = -1,
int num_threads = 1,
int syncgap = 3,
const fsutils::StringType model_name = STR("models-pro")
);
// Destructor
virtual ~FilterRealcugan() override;
// Initializes the filter with decoder and encoder contexts
int init(AVCodecContext *dec_ctx, AVCodecContext *enc_ctx, AVBufferRef *hw_ctx) override;
// Processes an input frame and returns the processed frame
int filter(AVFrame *in_frame, AVFrame **out_frame) override;
// Returns the filter's type
ProcessorType get_processor_type() const override { return ProcessorType::RealCUGAN; }
// Returns the filter's output dimensions
void get_output_dimensions(
const ProcessorConfig &proc_cfg,
int in_width,
int in_height,
int &out_width,
int &out_height
) const override;
private:
RealCUGAN *realcugan_;
int gpuid_;
bool tta_mode_;
int scaling_factor_;
int noise_level_;
int num_threads_;
int syncgap_;
const fsutils::StringType model_name_;
AVRational in_time_base_;
AVRational out_time_base_;
AVPixelFormat out_pix_fmt_;
};
} // namespace processors
} // namespace video2x

11
include/libvideo2x/processor.h
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@ -23,6 +23,7 @@ enum class ProcessorType {
None,
Libplacebo,
RealESRGAN,
RealCUGAN,
RIFE,
};
@ -35,6 +36,13 @@ struct RealESRGANConfig {
fsutils::StringType model_name;
};
struct RealCUGANConfig {
bool tta_mode = false;
int num_threads = 1;
int syncgap = 3;
fsutils::StringType model_name;
};
struct RIFEConfig {
bool tta_mode = false;
bool tta_temporal_mode = false;
@ -49,9 +57,10 @@ struct ProcessorConfig {
int width = 0;
int height = 0;
int scaling_factor = 0;
int noise_level = -1;
int frm_rate_mul = 0;
float scn_det_thresh = 0.0f;
std::variant<LibplaceboConfig, RealESRGANConfig, RIFEConfig> config;
std::variant<LibplaceboConfig, RealESRGANConfig, RealCUGANConfig, RIFEConfig> config;
};
class Processor {

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models/realcugan/models-nose/up2x-no-denoise.bin vendored Normal file
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37
models/realcugan/models-nose/up2x-no-denoise.param vendored Normal file
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@ -0,0 +1,37 @@
7767517
35 39
Input in0 0 1 in0
Convolution convrelu_0 1 1 in0 2 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_1 1 1 2 3 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_0 1 2 3 4 5
Convolution convrelu_2 1 1 4 6 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_3 1 1 6 7 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_4 1 1 7 8 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Crop slice_43 1 1 5 9 -23309=2,4,4 -23310=2,-4,-4 -23311=2,1,2
Deconvolution deconvrelu_0 1 1 8 10 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_0 2 1 10 9 11
Convolution convrelu_5 1 1 11 12 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Deconvolution deconv_20 1 1 12 13 0=3 1=4 3=2 4=3 5=1 6=3072
Split splitncnn_1 1 2 13 14 15
Convolution convrelu_6 1 1 14 16 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_7 1 1 16 17 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_2 1 2 17 18 19
Convolution convrelu_8 1 1 18 20 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_9 1 1 20 21 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution convrelu_10 1 1 21 22 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_3 1 2 22 23 24
Convolution convrelu_11 1 1 23 25 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
Convolution convrelu_12 1 1 25 26 0=256 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Convolution convrelu_13 1 1 26 27 0=128 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Crop slice_44 1 1 24 28 -23309=2,4,4 -23310=2,-4,-4 -23311=2,1,2
Deconvolution deconvrelu_1 1 1 27 29 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
BinaryOp add_1 2 1 29 28 30
Convolution convrelu_14 1 1 30 31 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_15 1 1 31 32 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Crop slice_45 1 1 19 33 -23309=2,16,16 -23310=2,-16,-16 -23311=2,1,2
Deconvolution deconvrelu_2 1 1 32 34 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_2 2 1 34 33 35
Convolution convrelu_16 1 1 35 36 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution conv_18 1 1 36 37 0=3 1=3 5=1 6=1728
Crop slice_46 1 1 15 38 -23309=2,20,20 -23310=2,-20,-20 -23311=2,1,2
BinaryOp add_3 2 1 37 38 out0

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models/realcugan/models-pro/up2x-conservative.bin vendored Normal file
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57
models/realcugan/models-pro/up2x-conservative.param vendored Normal file
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@ -0,0 +1,57 @@
7767517
55 63
Input in0 0 1 in0
Convolution convrelu_0 1 1 in0 4 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_1 1 1 4 5 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_0 1 2 5 6 7
Convolution convrelu_2 1 1 7 8 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_3 1 1 8 9 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_4 1 1 9 10 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_1 1 2 10 11 12
Pooling mean_64 1 1 12 gap0 0=1 4=1
InnerProduct convrelu_5 1 1 gap0 14 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_21 1 1 14 15 0=64 1=1 2=512 9=4
BinaryOp mul_2 2 1 11 15 16 0=2
Crop pad_9 1 1 6 17 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_0 1 1 16 18 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_3 2 1 17 18 19
Convolution convrelu_6 1 1 19 20 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Deconvolution deconv_48 1 1 20 21 0=3 1=4 3=2 4=3 5=1 6=3072
Split splitncnn_2 1 2 21 22 23
Convolution convrelu_7 1 1 23 24 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_8 1 1 24 25 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_3 1 2 25 26 27
Convolution convrelu_9 1 1 27 28 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_10 1 1 28 29 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution convrelu_11 1 1 29 30 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_4 1 2 30 31 32
Pooling mean_65 1 1 32 gap1 0=1 4=1
InnerProduct convrelu_12 1 1 gap1 34 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_22 1 1 34 35 0=128 1=1 2=2048 9=4
BinaryOp mul_4 2 1 31 35 36 0=2
Split splitncnn_5 1 2 36 37 38
Convolution convrelu_13 1 1 38 39 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
Convolution convrelu_14 1 1 39 40 0=256 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Convolution convrelu_15 1 1 40 41 0=128 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Split splitncnn_6 1 2 41 42 43
Pooling mean_66 1 1 43 gap2 0=1 4=1
InnerProduct convrelu_16 1 1 gap2 45 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_23 1 1 45 46 0=128 1=1 2=2048 9=4
BinaryOp mul_5 2 1 42 46 47 0=2
Crop pad_10 1 1 37 48 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_1 1 1 47 49 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
BinaryOp add_6 2 1 48 49 50
Convolution convrelu_17 1 1 50 51 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_18 1 1 51 52 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Split splitncnn_7 1 2 52 53 54
Pooling mean_67 1 1 54 gap3 0=1 4=1
InnerProduct convrelu_19 1 1 gap3 56 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_24 1 1 56 57 0=64 1=1 2=512 9=4
BinaryOp mul_7 2 1 53 57 58 0=2
Crop pad_11 1 1 26 59 -23309=2,16,16 -23310=2,-16,-16 -23311=2,-2,-1
Deconvolution deconvrelu_2 1 1 58 60 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_8 2 1 59 60 61
Crop pad_12 1 1 22 62 -23309=2,20,20 -23310=2,-20,-20 -23311=2,-2,-1
Convolution convrelu_20 1 1 61 63 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution conv_46 1 1 63 64 0=3 1=3 5=1 6=1728
BinaryOp add_9 2 1 64 62 out0

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models/realcugan/models-pro/up2x-denoise3x.bin vendored Normal file
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57
models/realcugan/models-pro/up2x-denoise3x.param vendored Normal file
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@ -0,0 +1,57 @@
7767517
55 63
Input in0 0 1 in0
Convolution convrelu_0 1 1 in0 4 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_1 1 1 4 5 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_0 1 2 5 6 7
Convolution convrelu_2 1 1 7 8 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_3 1 1 8 9 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_4 1 1 9 10 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_1 1 2 10 11 12
Pooling mean_64 1 1 12 gap0 0=1 4=1
InnerProduct convrelu_5 1 1 gap0 14 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_21 1 1 14 15 0=64 1=1 2=512 9=4
BinaryOp mul_2 2 1 11 15 16 0=2
Crop pad_9 1 1 6 17 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_0 1 1 16 18 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_3 2 1 17 18 19
Convolution convrelu_6 1 1 19 20 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Deconvolution deconv_48 1 1 20 21 0=3 1=4 3=2 4=3 5=1 6=3072
Split splitncnn_2 1 2 21 22 23
Convolution convrelu_7 1 1 23 24 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_8 1 1 24 25 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_3 1 2 25 26 27
Convolution convrelu_9 1 1 27 28 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_10 1 1 28 29 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution convrelu_11 1 1 29 30 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_4 1 2 30 31 32
Pooling mean_65 1 1 32 gap1 0=1 4=1
InnerProduct convrelu_12 1 1 gap1 34 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_22 1 1 34 35 0=128 1=1 2=2048 9=4
BinaryOp mul_4 2 1 31 35 36 0=2
Split splitncnn_5 1 2 36 37 38
Convolution convrelu_13 1 1 38 39 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
Convolution convrelu_14 1 1 39 40 0=256 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Convolution convrelu_15 1 1 40 41 0=128 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Split splitncnn_6 1 2 41 42 43
Pooling mean_66 1 1 43 gap2 0=1 4=1
InnerProduct convrelu_16 1 1 gap2 45 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_23 1 1 45 46 0=128 1=1 2=2048 9=4
BinaryOp mul_5 2 1 42 46 47 0=2
Crop pad_10 1 1 37 48 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_1 1 1 47 49 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
BinaryOp add_6 2 1 48 49 50
Convolution convrelu_17 1 1 50 51 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_18 1 1 51 52 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Split splitncnn_7 1 2 52 53 54
Pooling mean_67 1 1 54 gap3 0=1 4=1
InnerProduct convrelu_19 1 1 gap3 56 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_24 1 1 56 57 0=64 1=1 2=512 9=4
BinaryOp mul_7 2 1 53 57 58 0=2
Crop pad_11 1 1 26 59 -23309=2,16,16 -23310=2,-16,-16 -23311=2,-2,-1
Deconvolution deconvrelu_2 1 1 58 60 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_8 2 1 59 60 61
Crop pad_12 1 1 22 62 -23309=2,20,20 -23310=2,-20,-20 -23311=2,-2,-1
Convolution convrelu_20 1 1 61 63 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution conv_46 1 1 63 64 0=3 1=3 5=1 6=1728
BinaryOp add_9 2 1 64 62 out0

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models/realcugan/models-pro/up2x-no-denoise.param vendored Normal file
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@ -0,0 +1,57 @@
7767517
55 63
Input in0 0 1 in0
Convolution convrelu_0 1 1 in0 4 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_1 1 1 4 5 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_0 1 2 5 6 7
Convolution convrelu_2 1 1 7 8 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_3 1 1 8 9 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_4 1 1 9 10 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_1 1 2 10 11 12
Pooling mean_64 1 1 12 gap0 0=1 4=1
InnerProduct convrelu_5 1 1 gap0 14 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_21 1 1 14 15 0=64 1=1 2=512 9=4
BinaryOp mul_2 2 1 11 15 16 0=2
Crop pad_9 1 1 6 17 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_0 1 1 16 18 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_3 2 1 17 18 19
Convolution convrelu_6 1 1 19 20 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Deconvolution deconv_48 1 1 20 21 0=3 1=4 3=2 4=3 5=1 6=3072
Split splitncnn_2 1 2 21 22 23
Convolution convrelu_7 1 1 23 24 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_8 1 1 24 25 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_3 1 2 25 26 27
Convolution convrelu_9 1 1 27 28 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_10 1 1 28 29 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution convrelu_11 1 1 29 30 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_4 1 2 30 31 32
Pooling mean_65 1 1 32 gap1 0=1 4=1
InnerProduct convrelu_12 1 1 gap1 34 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_22 1 1 34 35 0=128 1=1 2=2048 9=4
BinaryOp mul_4 2 1 31 35 36 0=2
Split splitncnn_5 1 2 36 37 38
Convolution convrelu_13 1 1 38 39 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
Convolution convrelu_14 1 1 39 40 0=256 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Convolution convrelu_15 1 1 40 41 0=128 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Split splitncnn_6 1 2 41 42 43
Pooling mean_66 1 1 43 gap2 0=1 4=1
InnerProduct convrelu_16 1 1 gap2 45 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_23 1 1 45 46 0=128 1=1 2=2048 9=4
BinaryOp mul_5 2 1 42 46 47 0=2
Crop pad_10 1 1 37 48 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_1 1 1 47 49 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
BinaryOp add_6 2 1 48 49 50
Convolution convrelu_17 1 1 50 51 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_18 1 1 51 52 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Split splitncnn_7 1 2 52 53 54
Pooling mean_67 1 1 54 gap3 0=1 4=1
InnerProduct convrelu_19 1 1 gap3 56 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_24 1 1 56 57 0=64 1=1 2=512 9=4
BinaryOp mul_7 2 1 53 57 58 0=2
Crop pad_11 1 1 26 59 -23309=2,16,16 -23310=2,-16,-16 -23311=2,-2,-1
Deconvolution deconvrelu_2 1 1 58 60 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_8 2 1 59 60 61
Crop pad_12 1 1 22 62 -23309=2,20,20 -23310=2,-20,-20 -23311=2,-2,-1
Convolution convrelu_20 1 1 61 63 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution conv_46 1 1 63 64 0=3 1=3 5=1 6=1728
BinaryOp add_9 2 1 64 62 out0

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models/realcugan/models-pro/up3x-conservative.bin vendored Normal file
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models/realcugan/models-pro/up3x-conservative.param vendored Normal file
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@ -0,0 +1,57 @@
7767517
55 63
Input in0 0 1 in0
Convolution convrelu_0 1 1 in0 4 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_1 1 1 4 5 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_0 1 2 5 6 7
Convolution convrelu_2 1 1 7 8 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_3 1 1 8 9 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_4 1 1 9 10 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_1 1 2 10 11 12
Pooling mean_64 1 1 12 gap0 0=1 4=1
InnerProduct convrelu_5 1 1 gap0 14 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_21 1 1 14 15 0=64 1=1 2=512 9=4
BinaryOp mul_2 2 1 11 15 16 0=2
Crop pad_9 1 1 6 17 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_0 1 1 16 18 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_3 2 1 17 18 19
Convolution convrelu_6 1 1 19 20 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Deconvolution deconv_48 1 1 20 21 0=3 1=5 3=3 4=2 5=1 6=4800
Split splitncnn_2 1 2 21 22 23
Convolution convrelu_7 1 1 23 24 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_8 1 1 24 25 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_3 1 2 25 26 27
Convolution convrelu_9 1 1 27 28 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_10 1 1 28 29 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution convrelu_11 1 1 29 30 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_4 1 2 30 31 32
Pooling mean_65 1 1 32 gap1 0=1 4=1
InnerProduct convrelu_12 1 1 gap1 34 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_22 1 1 34 35 0=128 1=1 2=2048 9=4
BinaryOp mul_4 2 1 31 35 36 0=2
Split splitncnn_5 1 2 36 37 38
Convolution convrelu_13 1 1 38 39 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
Convolution convrelu_14 1 1 39 40 0=256 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Convolution convrelu_15 1 1 40 41 0=128 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Split splitncnn_6 1 2 41 42 43
Pooling mean_66 1 1 43 gap2 0=1 4=1
InnerProduct convrelu_16 1 1 gap2 45 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_23 1 1 45 46 0=128 1=1 2=2048 9=4
BinaryOp mul_5 2 1 42 46 47 0=2
Crop pad_10 1 1 37 48 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_1 1 1 47 49 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
BinaryOp add_6 2 1 48 49 50
Convolution convrelu_17 1 1 50 51 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_18 1 1 51 52 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Split splitncnn_7 1 2 52 53 54
Pooling mean_67 1 1 54 gap3 0=1 4=1
InnerProduct convrelu_19 1 1 gap3 56 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_24 1 1 56 57 0=64 1=1 2=512 9=4
BinaryOp mul_7 2 1 53 57 58 0=2
Crop pad_11 1 1 26 59 -23309=2,16,16 -23310=2,-16,-16 -23311=2,-2,-1
Deconvolution deconvrelu_2 1 1 58 60 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_8 2 1 59 60 61
Crop pad_12 1 1 22 62 -23309=2,20,20 -23310=2,-20,-20 -23311=2,-2,-1
Convolution convrelu_20 1 1 61 63 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution conv_46 1 1 63 64 0=3 1=3 5=1 6=1728
BinaryOp add_9 2 1 64 62 out0

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models/realcugan/models-pro/up3x-denoise3x.param vendored Normal file
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7767517
55 63
Input in0 0 1 in0
Convolution convrelu_0 1 1 in0 4 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_1 1 1 4 5 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_0 1 2 5 6 7
Convolution convrelu_2 1 1 7 8 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_3 1 1 8 9 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_4 1 1 9 10 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_1 1 2 10 11 12
Pooling mean_64 1 1 12 gap0 0=1 4=1
InnerProduct convrelu_5 1 1 gap0 14 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_21 1 1 14 15 0=64 1=1 2=512 9=4
BinaryOp mul_2 2 1 11 15 16 0=2
Crop pad_9 1 1 6 17 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_0 1 1 16 18 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_3 2 1 17 18 19
Convolution convrelu_6 1 1 19 20 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Deconvolution deconv_48 1 1 20 21 0=3 1=5 3=3 4=2 5=1 6=4800
Split splitncnn_2 1 2 21 22 23
Convolution convrelu_7 1 1 23 24 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_8 1 1 24 25 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_3 1 2 25 26 27
Convolution convrelu_9 1 1 27 28 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_10 1 1 28 29 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution convrelu_11 1 1 29 30 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_4 1 2 30 31 32
Pooling mean_65 1 1 32 gap1 0=1 4=1
InnerProduct convrelu_12 1 1 gap1 34 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_22 1 1 34 35 0=128 1=1 2=2048 9=4
BinaryOp mul_4 2 1 31 35 36 0=2
Split splitncnn_5 1 2 36 37 38
Convolution convrelu_13 1 1 38 39 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
Convolution convrelu_14 1 1 39 40 0=256 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Convolution convrelu_15 1 1 40 41 0=128 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Split splitncnn_6 1 2 41 42 43
Pooling mean_66 1 1 43 gap2 0=1 4=1
InnerProduct convrelu_16 1 1 gap2 45 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_23 1 1 45 46 0=128 1=1 2=2048 9=4
BinaryOp mul_5 2 1 42 46 47 0=2
Crop pad_10 1 1 37 48 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_1 1 1 47 49 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
BinaryOp add_6 2 1 48 49 50
Convolution convrelu_17 1 1 50 51 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_18 1 1 51 52 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Split splitncnn_7 1 2 52 53 54
Pooling mean_67 1 1 54 gap3 0=1 4=1
InnerProduct convrelu_19 1 1 gap3 56 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_24 1 1 56 57 0=64 1=1 2=512 9=4
BinaryOp mul_7 2 1 53 57 58 0=2
Crop pad_11 1 1 26 59 -23309=2,16,16 -23310=2,-16,-16 -23311=2,-2,-1
Deconvolution deconvrelu_2 1 1 58 60 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_8 2 1 59 60 61
Crop pad_12 1 1 22 62 -23309=2,20,20 -23310=2,-20,-20 -23311=2,-2,-1
Convolution convrelu_20 1 1 61 63 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution conv_46 1 1 63 64 0=3 1=3 5=1 6=1728
BinaryOp add_9 2 1 64 62 out0

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models/realcugan/models-pro/up3x-no-denoise.param vendored Normal file
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7767517
55 63
Input in0 0 1 in0
Convolution convrelu_0 1 1 in0 4 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_1 1 1 4 5 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_0 1 2 5 6 7
Convolution convrelu_2 1 1 7 8 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_3 1 1 8 9 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_4 1 1 9 10 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_1 1 2 10 11 12
Pooling mean_64 1 1 12 gap0 0=1 4=1
InnerProduct convrelu_5 1 1 gap0 14 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_21 1 1 14 15 0=64 1=1 2=512 9=4
BinaryOp mul_2 2 1 11 15 16 0=2
Crop pad_9 1 1 6 17 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_0 1 1 16 18 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_3 2 1 17 18 19
Convolution convrelu_6 1 1 19 20 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Deconvolution deconv_48 1 1 20 21 0=3 1=5 3=3 4=2 5=1 6=4800
Split splitncnn_2 1 2 21 22 23
Convolution convrelu_7 1 1 23 24 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_8 1 1 24 25 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_3 1 2 25 26 27
Convolution convrelu_9 1 1 27 28 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_10 1 1 28 29 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution convrelu_11 1 1 29 30 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_4 1 2 30 31 32
Pooling mean_65 1 1 32 gap1 0=1 4=1
InnerProduct convrelu_12 1 1 gap1 34 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_22 1 1 34 35 0=128 1=1 2=2048 9=4
BinaryOp mul_4 2 1 31 35 36 0=2
Split splitncnn_5 1 2 36 37 38
Convolution convrelu_13 1 1 38 39 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
Convolution convrelu_14 1 1 39 40 0=256 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Convolution convrelu_15 1 1 40 41 0=128 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Split splitncnn_6 1 2 41 42 43
Pooling mean_66 1 1 43 gap2 0=1 4=1
InnerProduct convrelu_16 1 1 gap2 45 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_23 1 1 45 46 0=128 1=1 2=2048 9=4
BinaryOp mul_5 2 1 42 46 47 0=2
Crop pad_10 1 1 37 48 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_1 1 1 47 49 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
BinaryOp add_6 2 1 48 49 50
Convolution convrelu_17 1 1 50 51 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_18 1 1 51 52 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Split splitncnn_7 1 2 52 53 54
Pooling mean_67 1 1 54 gap3 0=1 4=1
InnerProduct convrelu_19 1 1 gap3 56 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_24 1 1 56 57 0=64 1=1 2=512 9=4
BinaryOp mul_7 2 1 53 57 58 0=2
Crop pad_11 1 1 26 59 -23309=2,16,16 -23310=2,-16,-16 -23311=2,-2,-1
Deconvolution deconvrelu_2 1 1 58 60 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_8 2 1 59 60 61
Crop pad_12 1 1 22 62 -23309=2,20,20 -23310=2,-20,-20 -23311=2,-2,-1
Convolution convrelu_20 1 1 61 63 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution conv_46 1 1 63 64 0=3 1=3 5=1 6=1728
BinaryOp add_9 2 1 64 62 out0

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models/realcugan/models-se/up2x-conservative.param vendored Normal file
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@ -0,0 +1,57 @@
7767517
55 63
Input in0 0 1 in0
Convolution convrelu_0 1 1 in0 2 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_1 1 1 2 3 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_0 1 2 3 4 5
Convolution convrelu_2 1 1 5 6 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_3 1 1 6 7 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_4 1 1 7 8 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_1 1 2 8 9 10
Pooling mean_64 1 1 10 gap0 0=1 4=1
InnerProduct convrelu_5 1 1 gap0 12 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_21 1 1 12 13 0=64 1=1 2=512 9=4
BinaryOp mul_0 2 1 9 13 14 0=2
Crop pad_9 1 1 4 15 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_0 1 1 14 16 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_1 2 1 15 16 17
Convolution convrelu_6 1 1 17 18 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Deconvolution deconv_48 1 1 18 19 0=3 1=4 3=2 4=3 5=1 6=3072
Split splitncnn_2 1 2 19 20 21
Convolution convrelu_7 1 1 21 22 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_8 1 1 22 23 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_3 1 2 23 24 25
Convolution convrelu_9 1 1 25 26 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_10 1 1 26 27 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution convrelu_11 1 1 27 28 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_4 1 2 28 29 30
Pooling mean_65 1 1 30 gap1 0=1 4=1
InnerProduct convrelu_12 1 1 gap1 32 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_22 1 1 32 33 0=128 1=1 2=2048 9=4
BinaryOp mul_2 2 1 29 33 34 0=2
Split splitncnn_5 1 2 34 35 36
Convolution convrelu_13 1 1 36 37 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
Convolution convrelu_14 1 1 37 38 0=256 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Convolution convrelu_15 1 1 38 39 0=128 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Split splitncnn_6 1 2 39 40 41
Pooling mean_66 1 1 41 gap2 0=1 4=1
InnerProduct convrelu_16 1 1 gap2 43 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_23 1 1 43 44 0=128 1=1 2=2048 9=4
BinaryOp mul_3 2 1 40 44 45 0=2
Crop pad_10 1 1 35 46 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_1 1 1 45 47 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
BinaryOp add_4 2 1 46 47 48
Convolution convrelu_17 1 1 48 49 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_18 1 1 49 50 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Split splitncnn_7 1 2 50 51 52
Pooling mean_67 1 1 52 gap3 0=1 4=1
InnerProduct convrelu_19 1 1 gap3 54 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_24 1 1 54 55 0=64 1=1 2=512 9=4
BinaryOp mul_5 2 1 51 55 56 0=2
Crop pad_11 1 1 24 57 -23309=2,16,16 -23310=2,-16,-16 -23311=2,-2,-1
Deconvolution deconvrelu_2 1 1 56 58 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_6 2 1 57 58 59
Crop pad_12 1 1 20 60 -23309=2,20,20 -23310=2,-20,-20 -23311=2,-2,-1
Convolution convrelu_20 1 1 59 61 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution conv_46 1 1 61 62 0=3 1=3 5=1 6=1728
BinaryOp add_7 2 1 62 60 out0

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models/realcugan/models-se/up2x-denoise1x.bin vendored Normal file
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models/realcugan/models-se/up2x-denoise1x.param vendored Normal file
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@ -0,0 +1,57 @@
7767517
55 63
Input in0 0 1 in0
Convolution convrelu_0 1 1 in0 2 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_1 1 1 2 3 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_0 1 2 3 4 5
Convolution convrelu_2 1 1 5 6 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_3 1 1 6 7 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_4 1 1 7 8 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_1 1 2 8 9 10
Pooling mean_64 1 1 10 gap0 0=1 4=1
InnerProduct convrelu_5 1 1 gap0 12 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_21 1 1 12 13 0=64 1=1 2=512 9=4
BinaryOp mul_0 2 1 9 13 14 0=2
Crop pad_9 1 1 4 15 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_0 1 1 14 16 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_1 2 1 15 16 17
Convolution convrelu_6 1 1 17 18 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Deconvolution deconv_48 1 1 18 19 0=3 1=4 3=2 4=3 5=1 6=3072
Split splitncnn_2 1 2 19 20 21
Convolution convrelu_7 1 1 21 22 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_8 1 1 22 23 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_3 1 2 23 24 25
Convolution convrelu_9 1 1 25 26 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_10 1 1 26 27 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution convrelu_11 1 1 27 28 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_4 1 2 28 29 30
Pooling mean_65 1 1 30 gap1 0=1 4=1
InnerProduct convrelu_12 1 1 gap1 32 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_22 1 1 32 33 0=128 1=1 2=2048 9=4
BinaryOp mul_2 2 1 29 33 34 0=2
Split splitncnn_5 1 2 34 35 36
Convolution convrelu_13 1 1 36 37 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
Convolution convrelu_14 1 1 37 38 0=256 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Convolution convrelu_15 1 1 38 39 0=128 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Split splitncnn_6 1 2 39 40 41
Pooling mean_66 1 1 41 gap2 0=1 4=1
InnerProduct convrelu_16 1 1 gap2 43 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_23 1 1 43 44 0=128 1=1 2=2048 9=4
BinaryOp mul_3 2 1 40 44 45 0=2
Crop pad_10 1 1 35 46 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_1 1 1 45 47 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
BinaryOp add_4 2 1 46 47 48
Convolution convrelu_17 1 1 48 49 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_18 1 1 49 50 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Split splitncnn_7 1 2 50 51 52
Pooling mean_67 1 1 52 gap3 0=1 4=1
InnerProduct convrelu_19 1 1 gap3 54 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_24 1 1 54 55 0=64 1=1 2=512 9=4
BinaryOp mul_5 2 1 51 55 56 0=2
Crop pad_11 1 1 24 57 -23309=2,16,16 -23310=2,-16,-16 -23311=2,-2,-1
Deconvolution deconvrelu_2 1 1 56 58 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_6 2 1 57 58 59
Crop pad_12 1 1 20 60 -23309=2,20,20 -23310=2,-20,-20 -23311=2,-2,-1
Convolution convrelu_20 1 1 59 61 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution conv_46 1 1 61 62 0=3 1=3 5=1 6=1728
BinaryOp add_7 2 1 62 60 out0

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models/realcugan/models-se/up2x-denoise2x.bin vendored Normal file
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models/realcugan/models-se/up2x-denoise2x.param vendored Normal file
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@ -0,0 +1,57 @@
7767517
55 63
Input in0 0 1 in0
Convolution convrelu_0 1 1 in0 2 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_1 1 1 2 3 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_0 1 2 3 4 5
Convolution convrelu_2 1 1 5 6 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_3 1 1 6 7 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_4 1 1 7 8 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_1 1 2 8 9 10
Pooling mean_64 1 1 10 gap0 0=1 4=1
InnerProduct convrelu_5 1 1 gap0 12 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_21 1 1 12 13 0=64 1=1 2=512 9=4
BinaryOp mul_0 2 1 9 13 14 0=2
Crop pad_9 1 1 4 15 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_0 1 1 14 16 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_1 2 1 15 16 17
Convolution convrelu_6 1 1 17 18 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Deconvolution deconv_48 1 1 18 19 0=3 1=4 3=2 4=3 5=1 6=3072
Split splitncnn_2 1 2 19 20 21
Convolution convrelu_7 1 1 21 22 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_8 1 1 22 23 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_3 1 2 23 24 25
Convolution convrelu_9 1 1 25 26 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_10 1 1 26 27 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution convrelu_11 1 1 27 28 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_4 1 2 28 29 30
Pooling mean_65 1 1 30 gap1 0=1 4=1
InnerProduct convrelu_12 1 1 gap1 32 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_22 1 1 32 33 0=128 1=1 2=2048 9=4
BinaryOp mul_2 2 1 29 33 34 0=2
Split splitncnn_5 1 2 34 35 36
Convolution convrelu_13 1 1 36 37 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
Convolution convrelu_14 1 1 37 38 0=256 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Convolution convrelu_15 1 1 38 39 0=128 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Split splitncnn_6 1 2 39 40 41
Pooling mean_66 1 1 41 gap2 0=1 4=1
InnerProduct convrelu_16 1 1 gap2 43 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_23 1 1 43 44 0=128 1=1 2=2048 9=4
BinaryOp mul_3 2 1 40 44 45 0=2
Crop pad_10 1 1 35 46 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_1 1 1 45 47 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
BinaryOp add_4 2 1 46 47 48
Convolution convrelu_17 1 1 48 49 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_18 1 1 49 50 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Split splitncnn_7 1 2 50 51 52
Pooling mean_67 1 1 52 gap3 0=1 4=1
InnerProduct convrelu_19 1 1 gap3 54 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_24 1 1 54 55 0=64 1=1 2=512 9=4
BinaryOp mul_5 2 1 51 55 56 0=2
Crop pad_11 1 1 24 57 -23309=2,16,16 -23310=2,-16,-16 -23311=2,-2,-1
Deconvolution deconvrelu_2 1 1 56 58 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_6 2 1 57 58 59
Crop pad_12 1 1 20 60 -23309=2,20,20 -23310=2,-20,-20 -23311=2,-2,-1
Convolution convrelu_20 1 1 59 61 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution conv_46 1 1 61 62 0=3 1=3 5=1 6=1728
BinaryOp add_7 2 1 62 60 out0

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models/realcugan/models-se/up2x-denoise3x.bin vendored Normal file
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models/realcugan/models-se/up2x-denoise3x.param vendored Normal file
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7767517
55 63
Input in0 0 1 in0
Convolution convrelu_0 1 1 in0 2 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_1 1 1 2 3 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_0 1 2 3 4 5
Convolution convrelu_2 1 1 5 6 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_3 1 1 6 7 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_4 1 1 7 8 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_1 1 2 8 9 10
Pooling mean_64 1 1 10 gap0 0=1 4=1
InnerProduct convrelu_5 1 1 gap0 12 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_21 1 1 12 13 0=64 1=1 2=512 9=4
BinaryOp mul_0 2 1 9 13 14 0=2
Crop pad_9 1 1 4 15 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_0 1 1 14 16 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_1 2 1 15 16 17
Convolution convrelu_6 1 1 17 18 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Deconvolution deconv_48 1 1 18 19 0=3 1=4 3=2 4=3 5=1 6=3072
Split splitncnn_2 1 2 19 20 21
Convolution convrelu_7 1 1 21 22 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_8 1 1 22 23 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_3 1 2 23 24 25
Convolution convrelu_9 1 1 25 26 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_10 1 1 26 27 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution convrelu_11 1 1 27 28 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_4 1 2 28 29 30
Pooling mean_65 1 1 30 gap1 0=1 4=1
InnerProduct convrelu_12 1 1 gap1 32 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_22 1 1 32 33 0=128 1=1 2=2048 9=4
BinaryOp mul_2 2 1 29 33 34 0=2
Split splitncnn_5 1 2 34 35 36
Convolution convrelu_13 1 1 36 37 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
Convolution convrelu_14 1 1 37 38 0=256 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Convolution convrelu_15 1 1 38 39 0=128 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Split splitncnn_6 1 2 39 40 41
Pooling mean_66 1 1 41 gap2 0=1 4=1
InnerProduct convrelu_16 1 1 gap2 43 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_23 1 1 43 44 0=128 1=1 2=2048 9=4
BinaryOp mul_3 2 1 40 44 45 0=2
Crop pad_10 1 1 35 46 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_1 1 1 45 47 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
BinaryOp add_4 2 1 46 47 48
Convolution convrelu_17 1 1 48 49 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_18 1 1 49 50 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Split splitncnn_7 1 2 50 51 52
Pooling mean_67 1 1 52 gap3 0=1 4=1
InnerProduct convrelu_19 1 1 gap3 54 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_24 1 1 54 55 0=64 1=1 2=512 9=4
BinaryOp mul_5 2 1 51 55 56 0=2
Crop pad_11 1 1 24 57 -23309=2,16,16 -23310=2,-16,-16 -23311=2,-2,-1
Deconvolution deconvrelu_2 1 1 56 58 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_6 2 1 57 58 59
Crop pad_12 1 1 20 60 -23309=2,20,20 -23310=2,-20,-20 -23311=2,-2,-1
Convolution convrelu_20 1 1 59 61 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution conv_46 1 1 61 62 0=3 1=3 5=1 6=1728
BinaryOp add_7 2 1 62 60 out0

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models/realcugan/models-se/up2x-no-denoise.param vendored Normal file
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7767517
55 63
Input in0 0 1 in0
Convolution convrelu_0 1 1 in0 2 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_1 1 1 2 3 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_0 1 2 3 4 5
Convolution convrelu_2 1 1 5 6 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_3 1 1 6 7 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_4 1 1 7 8 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_1 1 2 8 9 10
Pooling mean_64 1 1 10 gap0 0=1 4=1
InnerProduct convrelu_5 1 1 gap0 12 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_21 1 1 12 13 0=64 1=1 2=512 9=4
BinaryOp mul_0 2 1 9 13 14 0=2
Crop pad_9 1 1 4 15 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_0 1 1 14 16 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_1 2 1 15 16 17
Convolution convrelu_6 1 1 17 18 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Deconvolution deconv_48 1 1 18 19 0=3 1=4 3=2 4=3 5=1 6=3072
Split splitncnn_2 1 2 19 20 21
Convolution convrelu_7 1 1 21 22 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_8 1 1 22 23 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_3 1 2 23 24 25
Convolution convrelu_9 1 1 25 26 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_10 1 1 26 27 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution convrelu_11 1 1 27 28 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_4 1 2 28 29 30
Pooling mean_65 1 1 30 gap1 0=1 4=1
InnerProduct convrelu_12 1 1 gap1 32 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_22 1 1 32 33 0=128 1=1 2=2048 9=4
BinaryOp mul_2 2 1 29 33 34 0=2
Split splitncnn_5 1 2 34 35 36
Convolution convrelu_13 1 1 36 37 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
Convolution convrelu_14 1 1 37 38 0=256 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Convolution convrelu_15 1 1 38 39 0=128 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Split splitncnn_6 1 2 39 40 41
Pooling mean_66 1 1 41 gap2 0=1 4=1
InnerProduct convrelu_16 1 1 gap2 43 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_23 1 1 43 44 0=128 1=1 2=2048 9=4
BinaryOp mul_3 2 1 40 44 45 0=2
Crop pad_10 1 1 35 46 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_1 1 1 45 47 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
BinaryOp add_4 2 1 46 47 48
Convolution convrelu_17 1 1 48 49 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_18 1 1 49 50 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Split splitncnn_7 1 2 50 51 52
Pooling mean_67 1 1 52 gap3 0=1 4=1
InnerProduct convrelu_19 1 1 gap3 54 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_24 1 1 54 55 0=64 1=1 2=512 9=4
BinaryOp mul_5 2 1 51 55 56 0=2
Crop pad_11 1 1 24 57 -23309=2,16,16 -23310=2,-16,-16 -23311=2,-2,-1
Deconvolution deconvrelu_2 1 1 56 58 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_6 2 1 57 58 59
Crop pad_12 1 1 20 60 -23309=2,20,20 -23310=2,-20,-20 -23311=2,-2,-1
Convolution convrelu_20 1 1 59 61 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution conv_46 1 1 61 62 0=3 1=3 5=1 6=1728
BinaryOp add_7 2 1 62 60 out0

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models/realcugan/models-se/up3x-conservative.param vendored Normal file
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55 63
Input in0 0 1 in0
Convolution convrelu_0 1 1 in0 2 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_1 1 1 2 3 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_0 1 2 3 4 5
Convolution convrelu_2 1 1 5 6 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_3 1 1 6 7 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_4 1 1 7 8 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_1 1 2 8 9 10
Pooling mean_64 1 1 10 gap0 0=1 4=1
InnerProduct convrelu_5 1 1 gap0 12 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_21 1 1 12 13 0=64 1=1 2=512 9=4
BinaryOp mul_0 2 1 9 13 14 0=2
Crop pad_9 1 1 4 15 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_0 1 1 14 16 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_1 2 1 15 16 17
Convolution convrelu_6 1 1 17 18 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Deconvolution deconv_48 1 1 18 19 0=3 1=5 3=3 4=2 5=1 6=4800
Split splitncnn_2 1 2 19 20 21
Convolution convrelu_7 1 1 21 22 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_8 1 1 22 23 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_3 1 2 23 24 25
Convolution convrelu_9 1 1 25 26 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_10 1 1 26 27 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution convrelu_11 1 1 27 28 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_4 1 2 28 29 30
Pooling mean_65 1 1 30 gap1 0=1 4=1
InnerProduct convrelu_12 1 1 gap1 32 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_22 1 1 32 33 0=128 1=1 2=2048 9=4
BinaryOp mul_2 2 1 29 33 34 0=2
Split splitncnn_5 1 2 34 35 36
Convolution convrelu_13 1 1 36 37 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
Convolution convrelu_14 1 1 37 38 0=256 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Convolution convrelu_15 1 1 38 39 0=128 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Split splitncnn_6 1 2 39 40 41
Pooling mean_66 1 1 41 gap2 0=1 4=1
InnerProduct convrelu_16 1 1 gap2 43 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_23 1 1 43 44 0=128 1=1 2=2048 9=4
BinaryOp mul_3 2 1 40 44 45 0=2
Crop pad_10 1 1 35 46 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_1 1 1 45 47 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
BinaryOp add_4 2 1 46 47 48
Convolution convrelu_17 1 1 48 49 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_18 1 1 49 50 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Split splitncnn_7 1 2 50 51 52
Pooling mean_67 1 1 52 gap3 0=1 4=1
InnerProduct convrelu_19 1 1 gap3 54 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_24 1 1 54 55 0=64 1=1 2=512 9=4
BinaryOp mul_5 2 1 51 55 56 0=2
Crop pad_11 1 1 24 57 -23309=2,16,16 -23310=2,-16,-16 -23311=2,-2,-1
Deconvolution deconvrelu_2 1 1 56 58 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_6 2 1 57 58 59
Crop pad_12 1 1 20 60 -23309=2,20,20 -23310=2,-20,-20 -23311=2,-2,-1
Convolution convrelu_20 1 1 59 61 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution conv_46 1 1 61 62 0=3 1=3 5=1 6=1728
BinaryOp add_7 2 1 62 60 out0

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7767517
55 63
Input in0 0 1 in0
Convolution convrelu_0 1 1 in0 2 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_1 1 1 2 3 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_0 1 2 3 4 5
Convolution convrelu_2 1 1 5 6 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_3 1 1 6 7 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_4 1 1 7 8 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_1 1 2 8 9 10
Pooling mean_64 1 1 10 gap0 0=1 4=1
InnerProduct convrelu_5 1 1 gap0 12 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_21 1 1 12 13 0=64 1=1 2=512 9=4
BinaryOp mul_0 2 1 9 13 14 0=2
Crop pad_9 1 1 4 15 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_0 1 1 14 16 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_1 2 1 15 16 17
Convolution convrelu_6 1 1 17 18 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Deconvolution deconv_48 1 1 18 19 0=3 1=5 3=3 4=2 5=1 6=4800
Split splitncnn_2 1 2 19 20 21
Convolution convrelu_7 1 1 21 22 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_8 1 1 22 23 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_3 1 2 23 24 25
Convolution convrelu_9 1 1 25 26 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_10 1 1 26 27 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution convrelu_11 1 1 27 28 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_4 1 2 28 29 30
Pooling mean_65 1 1 30 gap1 0=1 4=1
InnerProduct convrelu_12 1 1 gap1 32 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_22 1 1 32 33 0=128 1=1 2=2048 9=4
BinaryOp mul_2 2 1 29 33 34 0=2
Split splitncnn_5 1 2 34 35 36
Convolution convrelu_13 1 1 36 37 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
Convolution convrelu_14 1 1 37 38 0=256 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Convolution convrelu_15 1 1 38 39 0=128 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Split splitncnn_6 1 2 39 40 41
Pooling mean_66 1 1 41 gap2 0=1 4=1
InnerProduct convrelu_16 1 1 gap2 43 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_23 1 1 43 44 0=128 1=1 2=2048 9=4
BinaryOp mul_3 2 1 40 44 45 0=2
Crop pad_10 1 1 35 46 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_1 1 1 45 47 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
BinaryOp add_4 2 1 46 47 48
Convolution convrelu_17 1 1 48 49 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_18 1 1 49 50 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Split splitncnn_7 1 2 50 51 52
Pooling mean_67 1 1 52 gap3 0=1 4=1
InnerProduct convrelu_19 1 1 gap3 54 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_24 1 1 54 55 0=64 1=1 2=512 9=4
BinaryOp mul_5 2 1 51 55 56 0=2
Crop pad_11 1 1 24 57 -23309=2,16,16 -23310=2,-16,-16 -23311=2,-2,-1
Deconvolution deconvrelu_2 1 1 56 58 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_6 2 1 57 58 59
Crop pad_12 1 1 20 60 -23309=2,20,20 -23310=2,-20,-20 -23311=2,-2,-1
Convolution convrelu_20 1 1 59 61 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution conv_46 1 1 61 62 0=3 1=3 5=1 6=1728
BinaryOp add_7 2 1 62 60 out0

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7767517
55 63
Input in0 0 1 in0
Convolution convrelu_0 1 1 in0 2 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_1 1 1 2 3 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_0 1 2 3 4 5
Convolution convrelu_2 1 1 5 6 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_3 1 1 6 7 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_4 1 1 7 8 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_1 1 2 8 9 10
Pooling mean_64 1 1 10 gap0 0=1 4=1
InnerProduct convrelu_5 1 1 gap0 12 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_21 1 1 12 13 0=64 1=1 2=512 9=4
BinaryOp mul_0 2 1 9 13 14 0=2
Crop pad_9 1 1 4 15 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_0 1 1 14 16 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_1 2 1 15 16 17
Convolution convrelu_6 1 1 17 18 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Deconvolution deconv_48 1 1 18 19 0=3 1=5 3=3 4=2 5=1 6=4800
Split splitncnn_2 1 2 19 20 21
Convolution convrelu_7 1 1 21 22 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_8 1 1 22 23 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_3 1 2 23 24 25
Convolution convrelu_9 1 1 25 26 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_10 1 1 26 27 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution convrelu_11 1 1 27 28 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_4 1 2 28 29 30
Pooling mean_65 1 1 30 gap1 0=1 4=1
InnerProduct convrelu_12 1 1 gap1 32 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_22 1 1 32 33 0=128 1=1 2=2048 9=4
BinaryOp mul_2 2 1 29 33 34 0=2
Split splitncnn_5 1 2 34 35 36
Convolution convrelu_13 1 1 36 37 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
Convolution convrelu_14 1 1 37 38 0=256 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Convolution convrelu_15 1 1 38 39 0=128 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Split splitncnn_6 1 2 39 40 41
Pooling mean_66 1 1 41 gap2 0=1 4=1
InnerProduct convrelu_16 1 1 gap2 43 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_23 1 1 43 44 0=128 1=1 2=2048 9=4
BinaryOp mul_3 2 1 40 44 45 0=2
Crop pad_10 1 1 35 46 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_1 1 1 45 47 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
BinaryOp add_4 2 1 46 47 48
Convolution convrelu_17 1 1 48 49 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_18 1 1 49 50 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Split splitncnn_7 1 2 50 51 52
Pooling mean_67 1 1 52 gap3 0=1 4=1
InnerProduct convrelu_19 1 1 gap3 54 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_24 1 1 54 55 0=64 1=1 2=512 9=4
BinaryOp mul_5 2 1 51 55 56 0=2
Crop pad_11 1 1 24 57 -23309=2,16,16 -23310=2,-16,-16 -23311=2,-2,-1
Deconvolution deconvrelu_2 1 1 56 58 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_6 2 1 57 58 59
Crop pad_12 1 1 20 60 -23309=2,20,20 -23310=2,-20,-20 -23311=2,-2,-1
Convolution convrelu_20 1 1 59 61 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution conv_46 1 1 61 62 0=3 1=3 5=1 6=1728
BinaryOp add_7 2 1 62 60 out0

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7767517
58 66
Input in0 0 1 in0
Convolution convrelu_0 1 1 in0 4 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_1 1 1 4 5 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_1 1 2 5 6 7
Convolution convrelu_2 1 1 7 8 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_3 1 1 8 9 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_4 1 1 9 10 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_2 1 2 10 11 12
Pooling mean_68 1 1 12 gap0 0=1 4=1
InnerProduct convrelu_5 1 1 gap0 14 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_21 1 1 14 15 0=64 1=1 2=512 9=4
BinaryOp mul_0 2 1 11 15 16 0=2
Crop pad_9 1 1 6 17 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_0 1 1 16 18 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_1 2 1 17 18 19
Convolution convrelu_6 1 1 19 20 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Deconvolution deconv_51 1 1 20 21 0=64 1=4 3=2 4=3 5=1 6=65536
Split splitncnn_3 1 2 21 22 23
Convolution convrelu_7 1 1 23 24 0=32 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Convolution convrelu_8 1 1 24 25 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_4 1 2 25 26 27
Convolution convrelu_9 1 1 27 28 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_10 1 1 28 29 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution convrelu_11 1 1 29 30 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_5 1 2 30 31 32
Pooling mean_69 1 1 32 gap1 0=1 4=1
InnerProduct convrelu_12 1 1 gap1 34 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_22 1 1 34 35 0=128 1=1 2=2048 9=4
BinaryOp mul_2 2 1 31 35 36 0=2
Split splitncnn_6 1 2 36 37 38
Convolution convrelu_13 1 1 38 39 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
Convolution convrelu_14 1 1 39 40 0=256 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Convolution convrelu_15 1 1 40 41 0=128 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Split splitncnn_7 1 2 41 42 43
Pooling mean_70 1 1 43 gap2 0=1 4=1
InnerProduct convrelu_16 1 1 gap2 45 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_23 1 1 45 46 0=128 1=1 2=2048 9=4
BinaryOp mul_3 2 1 42 46 47 0=2
Crop pad_10 1 1 37 48 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_1 1 1 47 49 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
BinaryOp add_4 2 1 48 49 50
Convolution convrelu_17 1 1 50 51 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_18 1 1 51 52 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Split splitncnn_8 1 2 52 53 54
Pooling mean_71 1 1 54 gap3 0=1 4=1
InnerProduct convrelu_19 1 1 gap3 56 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_24 1 1 56 57 0=64 1=1 2=512 9=4
BinaryOp mul_5 2 1 53 57 58 0=2
Crop pad_11 1 1 26 59 -23309=2,16,16 -23310=2,-16,-16 -23311=2,-2,-1
Deconvolution deconvrelu_2 1 1 58 60 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_6 2 1 59 60 61
Crop pad_12 1 1 22 62 -23309=2,20,20 -23310=2,-20,-20 -23311=2,-2,-1
Convolution convrelu_20 1 1 61 63 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution conv_48 1 1 63 64 0=64 1=3 5=1 6=36864
BinaryOp add_7 2 1 64 62 65
Convolution conv_49 1 1 65 66 0=12 1=3 5=1 6=6912
Crop pad_13 1 1 66 67 -23309=2,1,1 -23310=2,-1,-1 -23311=2,-2,-1
PixelShuffle pixelshuffle_66 1 1 67 out0 0=2

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7767517
58 66
Input in0 0 1 in0
Convolution convrelu_0 1 1 in0 4 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_1 1 1 4 5 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_1 1 2 5 6 7
Convolution convrelu_2 1 1 7 8 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_3 1 1 8 9 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_4 1 1 9 10 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_2 1 2 10 11 12
Pooling mean_68 1 1 12 gap0 0=1 4=1
InnerProduct convrelu_5 1 1 gap0 14 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_21 1 1 14 15 0=64 1=1 2=512 9=4
BinaryOp mul_0 2 1 11 15 16 0=2
Crop pad_9 1 1 6 17 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_0 1 1 16 18 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_1 2 1 17 18 19
Convolution convrelu_6 1 1 19 20 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Deconvolution deconv_51 1 1 20 21 0=64 1=4 3=2 4=3 5=1 6=65536
Split splitncnn_3 1 2 21 22 23
Convolution convrelu_7 1 1 23 24 0=32 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Convolution convrelu_8 1 1 24 25 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_4 1 2 25 26 27
Convolution convrelu_9 1 1 27 28 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_10 1 1 28 29 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution convrelu_11 1 1 29 30 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_5 1 2 30 31 32
Pooling mean_69 1 1 32 gap1 0=1 4=1
InnerProduct convrelu_12 1 1 gap1 34 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_22 1 1 34 35 0=128 1=1 2=2048 9=4
BinaryOp mul_2 2 1 31 35 36 0=2
Split splitncnn_6 1 2 36 37 38
Convolution convrelu_13 1 1 38 39 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
Convolution convrelu_14 1 1 39 40 0=256 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Convolution convrelu_15 1 1 40 41 0=128 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Split splitncnn_7 1 2 41 42 43
Pooling mean_70 1 1 43 gap2 0=1 4=1
InnerProduct convrelu_16 1 1 gap2 45 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_23 1 1 45 46 0=128 1=1 2=2048 9=4
BinaryOp mul_3 2 1 42 46 47 0=2
Crop pad_10 1 1 37 48 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_1 1 1 47 49 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
BinaryOp add_4 2 1 48 49 50
Convolution convrelu_17 1 1 50 51 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_18 1 1 51 52 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Split splitncnn_8 1 2 52 53 54
Pooling mean_71 1 1 54 gap3 0=1 4=1
InnerProduct convrelu_19 1 1 gap3 56 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_24 1 1 56 57 0=64 1=1 2=512 9=4
BinaryOp mul_5 2 1 53 57 58 0=2
Crop pad_11 1 1 26 59 -23309=2,16,16 -23310=2,-16,-16 -23311=2,-2,-1
Deconvolution deconvrelu_2 1 1 58 60 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_6 2 1 59 60 61
Crop pad_12 1 1 22 62 -23309=2,20,20 -23310=2,-20,-20 -23311=2,-2,-1
Convolution convrelu_20 1 1 61 63 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution conv_48 1 1 63 64 0=64 1=3 5=1 6=36864
BinaryOp add_7 2 1 64 62 65
Convolution conv_49 1 1 65 66 0=12 1=3 5=1 6=6912
Crop pad_13 1 1 66 67 -23309=2,1,1 -23310=2,-1,-1 -23311=2,-2,-1
PixelShuffle pixelshuffle_66 1 1 67 out0 0=2

BIN
models/realcugan/models-se/up4x-no-denoise.bin vendored Normal file
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Binary file not shown.

60
models/realcugan/models-se/up4x-no-denoise.param vendored Normal file
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@ -0,0 +1,60 @@
7767517
58 66
Input in0 0 1 in0
Convolution convrelu_0 1 1 in0 4 0=32 1=3 5=1 6=864 9=2 -23310=1,1.000000e-01
Convolution convrelu_1 1 1 4 5 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_1 1 2 5 6 7
Convolution convrelu_2 1 1 7 8 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_3 1 1 8 9 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_4 1 1 9 10 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_2 1 2 10 11 12
Pooling mean_68 1 1 12 gap0 0=1 4=1
InnerProduct convrelu_5 1 1 gap0 14 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_21 1 1 14 15 0=64 1=1 2=512 9=4
BinaryOp mul_0 2 1 11 15 16 0=2
Crop pad_9 1 1 6 17 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_0 1 1 16 18 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_1 2 1 17 18 19
Convolution convrelu_6 1 1 19 20 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Deconvolution deconv_51 1 1 20 21 0=64 1=4 3=2 4=3 5=1 6=65536
Split splitncnn_3 1 2 21 22 23
Convolution convrelu_7 1 1 23 24 0=32 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Convolution convrelu_8 1 1 24 25 0=64 1=3 5=1 6=18432 9=2 -23310=1,1.000000e-01
Split splitncnn_4 1 2 25 26 27
Convolution convrelu_9 1 1 27 28 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution convrelu_10 1 1 28 29 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution convrelu_11 1 1 29 30 0=128 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Split splitncnn_5 1 2 30 31 32
Pooling mean_69 1 1 32 gap1 0=1 4=1
InnerProduct convrelu_12 1 1 gap1 34 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_22 1 1 34 35 0=128 1=1 2=2048 9=4
BinaryOp mul_2 2 1 31 35 36 0=2
Split splitncnn_6 1 2 36 37 38
Convolution convrelu_13 1 1 38 39 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
Convolution convrelu_14 1 1 39 40 0=256 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Convolution convrelu_15 1 1 40 41 0=128 1=3 5=1 6=294912 9=2 -23310=1,1.000000e-01
Split splitncnn_7 1 2 41 42 43
Pooling mean_70 1 1 43 gap2 0=1 4=1
InnerProduct convrelu_16 1 1 gap2 45 0=16 1=1 2=2048 9=1
InnerProduct convsigmoid_23 1 1 45 46 0=128 1=1 2=2048 9=4
BinaryOp mul_3 2 1 42 46 47 0=2
Crop pad_10 1 1 37 48 -23309=2,4,4 -23310=2,-4,-4 -23311=2,-2,-1
Deconvolution deconvrelu_1 1 1 47 49 0=128 1=2 3=2 5=1 6=65536 9=2 -23310=1,1.000000e-01
BinaryOp add_4 2 1 48 49 50
Convolution convrelu_17 1 1 50 51 0=64 1=3 5=1 6=73728 9=2 -23310=1,1.000000e-01
Convolution convrelu_18 1 1 51 52 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Split splitncnn_8 1 2 52 53 54
Pooling mean_71 1 1 54 gap3 0=1 4=1
InnerProduct convrelu_19 1 1 gap3 56 0=8 1=1 2=512 9=1
InnerProduct convsigmoid_24 1 1 56 57 0=64 1=1 2=512 9=4
BinaryOp mul_5 2 1 53 57 58 0=2
Crop pad_11 1 1 26 59 -23309=2,16,16 -23310=2,-16,-16 -23311=2,-2,-1
Deconvolution deconvrelu_2 1 1 58 60 0=64 1=2 3=2 5=1 6=16384 9=2 -23310=1,1.000000e-01
BinaryOp add_6 2 1 59 60 61
Crop pad_12 1 1 22 62 -23309=2,20,20 -23310=2,-20,-20 -23311=2,-2,-1
Convolution convrelu_20 1 1 61 63 0=64 1=3 5=1 6=36864 9=2 -23310=1,1.000000e-01
Convolution conv_48 1 1 63 64 0=64 1=3 5=1 6=36864
BinaryOp add_7 2 1 64 62 65
Convolution conv_49 1 1 65 66 0=12 1=3 5=1 6=6912
Crop pad_13 1 1 66 67 -23309=2,1,1 -23310=2,-1,-1 -23311=2,-2,-1
PixelShuffle pixelshuffle_66 1 1 67 out0 0=2

207
src/filter_realcugan.cpp Normal file
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@ -0,0 +1,207 @@
#include "filter_realcugan.h"
#include <cstdint>
#include <cstdio>
#include <filesystem>
#include <spdlog/spdlog.h>
#include "conversions.h"
#include "fsutils.h"
#include "logger_manager.h"
namespace video2x {
namespace processors {
FilterRealcugan::FilterRealcugan(
int gpuid,
bool tta_mode,
int scaling_factor,
int noise_level,
int num_threads,
int syncgap,
const fsutils::StringType model_name
)
: realcugan_(nullptr),
gpuid_(gpuid),
tta_mode_(tta_mode),
scaling_factor_(scaling_factor),
noise_level_(noise_level),
num_threads_(num_threads),
syncgap_(syncgap),
model_name_(std::move(model_name)) {}
FilterRealcugan::~FilterRealcugan() {
if (realcugan_) {
delete realcugan_;
realcugan_ = nullptr;
}
}
int FilterRealcugan::init(AVCodecContext *dec_ctx, AVCodecContext *enc_ctx, AVBufferRef *) {
// Construct the model paths using std::filesystem
std::filesystem::path model_param_path;
std::filesystem::path model_bin_path;
fsutils::StringType model_base_name =
STR("up") + fsutils::to_string_type(scaling_factor_) + STR("x-");
switch (noise_level_) {
case -1:
model_base_name += STR("conservative");
break;
case 0:
model_base_name += STR("no-denoise");
break;
default:
model_base_name += STR("denoise") + fsutils::to_string_type(noise_level_) + STR("x");
break;
}
fsutils::StringType param_file_name = model_base_name + STR(".param");
fsutils::StringType bin_file_name = model_base_name + STR(".bin");
// Find the model paths by model name if provided
model_param_path =
std::filesystem::path(STR("models")) / STR("realcugan") / model_name_ / param_file_name;
model_bin_path =
std::filesystem::path(STR("models")) / STR("realcugan") / model_name_ / bin_file_name;
// Get the full paths using a function that possibly modifies or validates the path
std::filesystem::path model_param_full_path = fsutils::find_resource_file(model_param_path);
std::filesystem::path model_bin_full_path = fsutils::find_resource_file(model_bin_path);
// Check if the model files exist
if (!std::filesystem::exists(model_param_full_path)) {
logger()->error("RealCUGAN model param file not found: {}", model_param_path.u8string());
return -1;
}
if (!std::filesystem::exists(model_bin_full_path)) {
logger()->error("RealCUGAN model bin file not found: {}", model_bin_path.u8string());
return -1;
}
// Create a new RealCUGAN instance
realcugan_ = new RealCUGAN(gpuid_, tta_mode_, num_threads_);
// Store the time bases
in_time_base_ = dec_ctx->time_base;
out_time_base_ = enc_ctx->time_base;
out_pix_fmt_ = enc_ctx->pix_fmt;
// Load the model
if (realcugan_->load(model_param_full_path, model_bin_full_path) != 0) {
logger()->error("Failed to load RealCUGAN model");
return -1;
}
// Set syncgap to 0 for models-nose
if (model_name_.find(STR("models-nose")) != fsutils::StringType::npos) {
syncgap_ = 0;
}
// Set realcugan parameters
realcugan_->scale = scaling_factor_;
realcugan_->noise = noise_level_;
realcugan_->prepadding = 10;
// Set prepadding based on scaling factor
if (scaling_factor_ == 2) {
realcugan_->prepadding = 18;
}
if (scaling_factor_ == 3) {
realcugan_->prepadding = 14;
}
if (scaling_factor_ == 4) {
realcugan_->prepadding = 19;
}
// Calculate tilesize based on GPU heap budget
uint32_t heap_budget = ncnn::get_gpu_device(gpuid_)->get_heap_budget();
if (scaling_factor_ == 2) {
if (heap_budget > 1300) {
realcugan_->tilesize = 400;
} else if (heap_budget > 800) {
realcugan_->tilesize = 300;
} else if (heap_budget > 400) {
realcugan_->tilesize = 200;
} else if (heap_budget > 200) {
realcugan_->tilesize = 100;
} else {
realcugan_->tilesize = 32;
}
}
if (scaling_factor_ == 3) {
if (heap_budget > 3300) {
realcugan_->tilesize = 400;
} else if (heap_budget > 1900) {
realcugan_->tilesize = 300;
} else if (heap_budget > 950) {
realcugan_->tilesize = 200;
} else if (heap_budget > 320) {
realcugan_->tilesize = 100;
} else {
realcugan_->tilesize = 32;
}
}
if (scaling_factor_ == 4) {
if (heap_budget > 1690) {
realcugan_->tilesize = 400;
} else if (heap_budget > 980) {
realcugan_->tilesize = 300;
} else if (heap_budget > 530) {
realcugan_->tilesize = 200;
} else if (heap_budget > 240) {
realcugan_->tilesize = 100;
} else {
realcugan_->tilesize = 32;
}
}
return 0;
}
int FilterRealcugan::filter(AVFrame *in_frame, AVFrame **out_frame) {
int ret;
// Convert the input frame to RGB24
ncnn::Mat in_mat = conversions::avframe_to_ncnn_mat(in_frame);
if (in_mat.empty()) {
logger()->error("Failed to convert AVFrame to ncnn::Mat");
return -1;
}
// Allocate space for output ncnn::Mat
int output_width = in_mat.w * realcugan_->scale;
int output_height = in_mat.h * realcugan_->scale;
ncnn::Mat out_mat = ncnn::Mat(output_width, output_height, static_cast<size_t>(3), 3);
ret = realcugan_->process(in_mat, out_mat);
if (ret != 0) {
logger()->error("RealCUGAN processing failed");
return ret;
}
// Convert ncnn::Mat to AVFrame
*out_frame = conversions::ncnn_mat_to_avframe(out_mat, out_pix_fmt_);
// Rescale PTS to encoder's time base
(*out_frame)->pts = av_rescale_q(in_frame->pts, in_time_base_, out_time_base_);
// Return the processed frame to the caller
return ret;
}
void FilterRealcugan::get_output_dimensions(
const ProcessorConfig &,
int in_width,
int in_height,
int &out_width,
int &out_height
) const {
out_width = in_width * scaling_factor_;
out_height = in_height * scaling_factor_;
}
} // namespace processors
} // namespace video2x

26
src/processor_factory.cpp
View File

@ -4,6 +4,7 @@
#include <utility>
#include "filter_libplacebo.h"
#include "filter_realcugan.h"
#include "filter_realesrgan.h"
#include "interpolator_rife.h"
#include "logger_manager.h"
@ -95,6 +96,31 @@ void ProcessorFactory::init_default_processors(ProcessorFactory &factory) {
}
);
factory.register_processor(
ProcessorType::RealCUGAN,
[](const ProcessorConfig &proc_cfg,
uint32_t vk_device_index) -> std::unique_ptr<Processor> {
const auto &config = std::get<RealCUGANConfig>(proc_cfg.config);
if (proc_cfg.scaling_factor <= 0) {
logger()->critical("Scaling factor must be provided for the RealCUGAN filter");
return nullptr;
}
if (config.model_name.empty()) {
logger()->critical("Model name must be provided for the RealCUGAN filter");
return nullptr;
}
return std::make_unique<FilterRealcugan>(
static_cast<int>(vk_device_index),
config.tta_mode,
proc_cfg.scaling_factor,
proc_cfg.noise_level,
config.num_threads,
config.syncgap,
config.model_name
);
}
);
factory.register_processor(
ProcessorType::RIFE,
[](const ProcessorConfig &proc_cfg,

1
third_party/librealcugan_ncnn_vulkan vendored Submodule

@ -0,0 +1 @@
Subproject commit 52f598265a973fc8b17eb5e13cddc0e71c0a79dc

2
third_party/librealesrgan_ncnn_vulkan vendored

@ -1 +1 @@
Subproject commit cd68df6f98f036fcc9e7d63597ea6faa427c2d2d
Subproject commit 7966e68979ab9c002d10f9bfa507bd25e551b377

2
third_party/librife_ncnn_vulkan vendored

@ -1 +1 @@
Subproject commit f2edda49a5fd817a7137509e54e70d2e30d9b684
Subproject commit b3b2ce899011fa7940178163f0b4a3ebc251a934

2
third_party/ncnn vendored

@ -1 +1 @@
Subproject commit 9b5f6a39b4a4962accaad58caa771487f61f732a
Subproject commit a6d3ef5a0bb59fb496c553c3ef54d141642b4fc5

2
tools/video2x/include/validators.h
View File

@ -65,4 +65,6 @@ void validate_anime4k_shader_name(const video2x::fsutils::StringType &shader_nam
void validate_realesrgan_model_name(const video2x::fsutils::StringType &model_name);
void validate_realcugan_model_name(const video2x::fsutils::StringType &model_name);
void validate_rife_model_name(const video2x::fsutils::StringType &model_name);

66
tools/video2x/src/argparse.cpp
View File

@ -79,7 +79,7 @@ int parse_args(
("input,i", PO_STR_VALUE<video2x::fsutils::StringType>(), "Input video file path")
("output,o", PO_STR_VALUE<video2x::fsutils::StringType>(), "Output video file path")
("processor,p", PO_STR_VALUE<video2x::fsutils::StringType>(),
"Processor to use (libplacebo, realesrgan, rife)")
"Processor to use (libplacebo, realesrgan, realcugan, rife)")
("hwaccel,a", PO_STR_VALUE<video2x::fsutils::StringType>()
->default_value(STR("none"), "none"), "Hardware acceleration method (decoding)")
("device,d", po::value<uint32_t>(&arguments.vk_device_index)->default_value(0),
@ -131,6 +131,8 @@ int parse_args(
->notifier([](int v) { validate_greater_equal_one(v, "height"); }), "Output height")
("scaling-factor,s", po::value<int>(&proc_cfg.scaling_factor)
->notifier([](int v) { validate_min(v, "scaling-factor", 2); }), "Scaling factor")
("noise-level,n", po::value<int>(&proc_cfg.noise_level)
->notifier([](int v) { validate_min(v, "noise-level", 0); }), "Noise level")
;
po::options_description interp_opts("Frame interpolation options");
@ -161,6 +163,18 @@ int parse_args(
"realesrgan-plus)")
;
po::options_description realcugan_opts("RealCUGAN options");
realesrgan_opts.add_options()
("realcugan-model", PO_STR_VALUE<video2x::fsutils::StringType>()
->default_value(STR("models-se"), "models-se")
->notifier(validate_realcugan_model_name),
"Name of the RealCUGAN model to use (models-nose, models-pro, models-se)")
("realcugan-threads", po::value<int>()->default_value(1),
"Number of threads to use for RealCUGAN")
("realcugan-syncgap", po::value<int>()->default_value(3),
"Sync gap mode; 0:no sync, 1: accurate sync: 2 = rough sync, 3: very rough sync")
;
po::options_description rife_opts("RIFE options");
rife_opts.add_options()
("rife-model", PO_STR_VALUE<video2x::fsutils::StringType>()
@ -261,12 +275,12 @@ int parse_args(
proc_cfg.processor_type = video2x::processors::ProcessorType::Libplacebo;
} else if (processor_type_str == STR("realesrgan")) {
proc_cfg.processor_type = video2x::processors::ProcessorType::RealESRGAN;
} else if (processor_type_str == STR("realcugan")) {
proc_cfg.processor_type = video2x::processors::ProcessorType::RealCUGAN;
} else if (processor_type_str == STR("rife")) {
proc_cfg.processor_type = video2x::processors::ProcessorType::RIFE;
} else {
video2x::logger()->critical(
"Invalid processor specified. Must be 'libplacebo', 'realesrgan', or 'rife'."
);
video2x::logger()->critical("Invalid processor specified.");
return -1;
}
} else {
@ -370,8 +384,7 @@ int parse_args(
);
return -1;
}
if (proc_cfg.scaling_factor != 2 && proc_cfg.scaling_factor != 3 &&
proc_cfg.scaling_factor != 4) {
if (proc_cfg.scaling_factor < 2 || proc_cfg.scaling_factor > 4) {
video2x::logger()->critical(
"Scaling factor must be set to 2, 3, or 4 for RealESRGAN."
);
@ -386,6 +399,47 @@ int parse_args(
proc_cfg.config = realesrgan_config;
break;
}
case video2x::processors::ProcessorType::RealCUGAN: {
if (!vm.count("realcugan-model")) {
video2x::logger()->critical("RealCUGAN model name must be set for RealCUGAN.");
return -1;
}
if (vm.count("realcugan-threads") && vm["realcugan-threads"].as<int>() < 1) {
video2x::logger()->critical(
"Number of threads must be at least 1 for RealCUGAN."
);
return -1;
}
if (vm.count("realcugan-syncgap") && (vm["realcugan-syncgap"].as<int>() < 0 ||
vm["realcugan-syncgap"].as<int>() > 3)) {
video2x::logger()->critical(
"Sync gap mode must be set to 0, 1, 2, or 3 for RealCUGAN."
);
return -1;
}
if (proc_cfg.scaling_factor < 2 || proc_cfg.scaling_factor > 4) {
video2x::logger()->critical(
"Scaling factor must be set to 2, 3, or 4 for RealCUGAN."
);
return -1;
}
if (proc_cfg.noise_level < -1 || proc_cfg.noise_level > 3) {
video2x::logger()->critical(
"Noise level must be set to -1, 0, 1, 2, or 3 for RealCUGAN."
);
return -1;
}
proc_cfg.processor_type = video2x::processors::ProcessorType::RealCUGAN;
video2x::processors::RealCUGANConfig realcugan_config;
realcugan_config.tta_mode = false;
realcugan_config.model_name =
vm["realcugan-model"].as<video2x::fsutils::StringType>();
realcugan_config.num_threads = vm["realcugan-threads"].as<int>();
realcugan_config.syncgap = vm["realcugan-syncgap"].as<int>();
proc_cfg.config = realcugan_config;
break;
}
case video2x::processors::ProcessorType::RIFE: {
if (!vm.count("rife-model")) {
video2x::logger()->critical("RIFE model name must be set for RIFE.");

17
tools/video2x/src/validators.cpp
View File

@ -36,8 +36,21 @@ void validate_realesrgan_model_name(const video2x::fsutils::StringType &model_na
}
}
void validate_realcugan_model_name(const video2x::fsutils::StringType &model_name) {
static const std::unordered_set<video2x::fsutils::StringType> valid_realcugan_models = {
STR("models-nose"), STR("models-pro"), STR("models-se")
};
if (valid_realcugan_models.count(model_name) == 0) {
throw po::validation_error(
po::validation_error::invalid_option_value,
"realcugan-model",
"realcugan-model must be one of: models-nose, models-pro, models-se"
);
}
}
void validate_rife_model_name(const video2x::fsutils::StringType &model_name) {
static const std::unordered_set<video2x::fsutils::StringType> valid_realesrgan_models = {
static const std::unordered_set<video2x::fsutils::StringType> valid_rife_models = {
STR("rife"),
STR("rife-HD"),
STR("rife-UHD"),
@ -50,7 +63,7 @@ void validate_rife_model_name(const video2x::fsutils::StringType &model_name) {
STR("rife-v4"),
STR("rife-v4.6"),
};
if (valid_realesrgan_models.count(model_name) == 0) {
if (valid_rife_models.count(model_name) == 0) {
throw po::validation_error(
po::validation_error::invalid_option_value,
"rife-model",