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make image cleaner comply with PEP8 standards, added comments
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bin/image_cleaner.py
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76
bin/image_cleaner.py
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Name: Video2X Image Cleaner
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Author: BrianPetkovsek
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Author: K4YT3X
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Date Created: March 24, 2019
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Last Modified: March 24, 2019
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Description: This class is to remove the extracted frames
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that have already been upscaled.
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"""
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import os
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import threading
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import time
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class ImageCleaner(threading.Thread):
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""" Video2X Image Cleaner
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This class creates an object that keeps track of extracted
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frames that has already been upscaled and are not needed
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anymore. It then deletes them to save disk space.
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Extends:
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threading.Thread
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"""
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def __init__(self, input_folder, output_folder, num_threads):
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threading.Thread.__init__(self)
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self.input_folder = input_folder
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self.output_folder = output_folder
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self.num_threads = num_threads
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self.running = False
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def run(self):
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""" Run image cleaner
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"""
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self.running = True
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while self.running:
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self.remove_upscaled_frames()
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time.sleep(1)
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def stop(self):
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""" Stop the image cleaner
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"""
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self.running = False
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self.join()
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def remove_upscaled_frames(self):
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""" remove frames that have already been upscaled
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This method compares the files in the extracted frames
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folder with the upscaled frames folder, and removes
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the frames that has already been upscaled.
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"""
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# list all images in the extracted frames
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output_frames = [f for f in os.listdir(self.output_folder) if os.path.isfile(os.path.join(self.output_folder, f))]
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# compare and remove frames downscaled images that finished being upscaled
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# within each thread's extracted frames folder
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for i in range(self.num_threads):
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dir_path = os.path.join(self.input_folder, str(i))
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# for each file within all the folders
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for f in os.listdir(dir_path):
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file_path = os.path.join(dir_path, f)
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# if file also exists in the output folder, then the file
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# has already been processed, thus not needed anymore
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if os.path.isfile(file_path) and f in output_frames:
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os.remove(file_path)
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output_frames.remove(f)
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