mirror of
https://github.com/iperov/DeepFaceLab.git
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73 lines
2.6 KiB
Python
73 lines
2.6 KiB
Python
import os
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import sys
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import operator
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import numpy as np
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import cv2
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from tqdm import tqdm
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from shutil import copyfile
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from pathlib import Path
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from utils import Path_utils
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from utils import image_utils
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from utils.DFLPNG import DFLPNG
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from utils.DFLJPG import DFLJPG
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from utils.cv2_utils import *
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from facelib import LandmarksProcessor
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from utils.SubprocessorBase import SubprocessorBase
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import multiprocessing
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def convert_png_to_jpg_file (filepath):
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filepath = Path(filepath)
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if filepath.suffix != '.png':
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return
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dflpng = DFLPNG.load (str(filepath), print_on_no_embedded_data=True)
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if dflpng is None:
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return
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dfl_dict = dflpng.getDFLDictData()
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img = cv2_imread (str(filepath))
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new_filepath = str(filepath.parent / (filepath.stem + '.jpg'))
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cv2_imwrite ( new_filepath, img, [int(cv2.IMWRITE_JPEG_QUALITY), 85])
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DFLJPG.embed_data( new_filepath,
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face_type=dfl_dict.get('face_type', None),
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landmarks=dfl_dict.get('landmarks', None),
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source_filename=dfl_dict.get('source_filename', None),
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source_rect=dfl_dict.get('source_rect', None),
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source_landmarks=dfl_dict.get('source_landmarks', None) )
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filepath.unlink()
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def convert_png_to_jpg_folder (input_path):
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input_path = Path(input_path)
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print ("Converting PNG to JPG...\r\n")
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for filepath in tqdm( Path_utils.get_image_paths(input_path), desc="Converting", ascii=True):
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filepath = Path(filepath)
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convert_png_to_jpg_file(filepath)
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def add_landmarks_debug_images(input_path):
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print ("Adding landmarks debug images...")
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for filepath in tqdm( Path_utils.get_image_paths(input_path), desc="Processing", ascii=True):
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filepath = Path(filepath)
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img = cv2_imread(str(filepath))
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if filepath.suffix == '.png':
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dflimg = DFLPNG.load( str(filepath), print_on_no_embedded_data=True )
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elif filepath.suffix == '.jpg':
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dflimg = DFLJPG.load ( str(filepath), print_on_no_embedded_data=True )
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else:
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print ("%s is not a dfl image file" % (filepath.name) )
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continue
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if not (dflimg is None or img is None):
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face_landmarks = dflimg.get_landmarks()
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LandmarksProcessor.draw_landmarks(img, face_landmarks)
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output_file = '{}{}'.format( str(Path(str(input_path)) / filepath.stem), '_debug.jpg')
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cv2_imwrite(output_file, img, [int(cv2.IMWRITE_JPEG_QUALITY), 50] )
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