mirror of
https://github.com/deepfakes/faceswap
synced 2025-06-07 19:05:02 -04:00
34945cfcd7
* Making Models as plugins * Do not reload model on each image #39 + Adding FaceFilter #53 * Adding @lukaville PR for #43 and #44 (possibly) * Training done in a separate thread * Better log for plugin load * Adding a prefetch to train.py #49 (Note that we prefetch 2 batches of images, due to the queue behavior) + More compact logging with verbose info included * correction of DirectoryProcessor signature * adding missing import * Convert with parallel preprocessing of files * Added coverage var for trainer Added a var with comment. Feel free to add it as argument * corrections * Modifying preview and normalization of image + correction * Cleanup
136 lines
4.9 KiB
Python
136 lines
4.9 KiB
Python
import argparse
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import os
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import time
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from pathlib import Path
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from lib.FaceFilter import FaceFilter
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from lib.faces_detect import detect_faces
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from lib.utils import get_image_paths, get_folder
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class FullPaths(argparse.Action):
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"""Expand user- and relative-paths"""
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def __call__(self, parser, namespace, values, option_string=None):
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setattr(namespace, self.dest, os.path.abspath(
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os.path.expanduser(values)))
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class DirectoryProcessor(object):
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'''
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Abstract class that processes a directory of images
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and writes output to the specified folder
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'''
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arguments = None
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parser = None
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input_dir = None
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output_dir = None
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verify_output = False
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images_found = 0
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images_processed = 0
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faces_detected = 0
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def __init__(self, subparser, command, description='default'):
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self.create_parser(subparser, command, description)
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self.parse_arguments(description, subparser, command)
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def process_arguments(self, arguments):
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self.arguments = arguments
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print("Input Directory: {}".format(self.arguments.input_dir))
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print("Output Directory: {}".format(self.arguments.output_dir))
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print('Starting, this may take a while...')
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self.output_dir = get_folder(self.arguments.output_dir)
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try:
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self.input_dir = get_image_paths(self.arguments.input_dir)
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except:
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print('Input directory not found. Please ensure it exists.')
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exit(1)
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self.images_found = len(self.input_dir)
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self.filter = self.load_filter()
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self.process()
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self.finalize()
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def read_directory(self):
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for filename in self.input_dir:
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if self.arguments.verbose:
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print('Processing: {}'.format(os.path.basename(filename)))
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yield filename
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self.images_processed = self.images_processed + 1
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def get_faces(self, image):
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faces_count = 0
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for face in detect_faces(image):
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if self.filter is not None and not self.filter.check(face):
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print('Skipping not recognized face!')
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continue
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yield faces_count, face
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self.faces_detected = self.faces_detected + 1
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faces_count +=1
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if faces_count > 0 and self.arguments.verbose:
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print('Note: Found more than one face in an image!')
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self.verify_output = True
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def load_filter(self):
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filter_file = "filter.jpg" # TODO Pass as argument
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if Path(filter_file).exists():
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print('Loading reference image for filtering')
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return FaceFilter(filter_file)
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# for now, we limit this class responsability to the read of files. images and faces are processed outside this class
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def process(self):
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# implement your image processing!
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raise NotImplementedError()
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def parse_arguments(self, description, subparser, command):
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self.parser.add_argument('-i', '--input-dir',
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action=FullPaths,
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dest="input_dir",
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default="input",
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help="Input directory. A directory containing the files \
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you wish to process. Defaults to 'input'")
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self.parser.add_argument('-o', '--output-dir',
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action=FullPaths,
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dest="output_dir",
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default="output",
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help="Output directory. This is where the converted files will \
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be stored. Defaults to 'output'")
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self.parser.add_argument('-v', '--verbose',
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action="store_true",
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dest="verbose",
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default=False,
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help="Show verbose output")
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self.parser = self.add_optional_arguments(self.parser)
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self.parser.set_defaults(func=self.process_arguments)
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def create_parser(self, subparser, command, description):
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parser = subparser.add_parser(
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command,
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description=description,
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epilog="Questions and feedback: \
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https://github.com/deepfakes/faceswap-playground"
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)
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return parser
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def add_optional_arguments(self, parser):
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# Override this for custom arguments
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return parser
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def finalize(self):
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print('-------------------------')
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print('Images found: {}'.format(self.images_found))
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print('Images processed: {}'.format(self.images_processed))
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print('Faces detected: {}'.format(self.faces_detected))
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print('-------------------------')
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if self.verify_output:
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print('Note:')
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print('Multiple faces were detected in one or more pictures.')
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print('Double check your results.')
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print('-------------------------')
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print('Done!')
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