mirror of
https://github.com/deepfakes/faceswap
synced 2025-06-08 03:26:47 -04:00
116 lines
4.1 KiB
Python
116 lines
4.1 KiB
Python
import argparse
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import os
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import cv2
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from lib.utils import get_image_paths, get_folder
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from lib.faces_detect import crop_faces
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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(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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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, description='default'):
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print('Initializing')
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self.parse_arguments(description)
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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 FileNotFoundError:
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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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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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self.process_image(filename)
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self.images_processed = self.images_processed + 1
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self.finalize()
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def parse_arguments(self, description):
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parser = argparse.ArgumentParser(
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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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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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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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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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parser = self.add_optional_arguments(parser)
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self.arguments = parser.parse_args()
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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 process_image(self, filename):
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try:
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image = cv2.imread(filename)
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for (idx, face) in enumerate(crop_faces(image)):
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if idx > 0 and self.arguments.verbose:
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print('- Found more than one face!')
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self.verify_output = True
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self.process_face(face, idx, filename)
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self.faces_detected = self.faces_detected + 1
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except Exception as e:
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print('Failed to extract from image: {}. Reason: {}'.format(filename, e))
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def process_face(self, face, index, filename):
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# implement your face processing!
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raise NotImplementedError()
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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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