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Sorter: added sort by motion blur
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parent
27f41b3bcc
commit
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2
main.py
2
main.py
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@ -70,7 +70,7 @@ if __name__ == "__main__":
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p = subparsers.add_parser( "sort", help="Sort faces in a directory.")
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p.add_argument('--input-dir', required=True, action=fixPathAction, dest="input_dir", help="Input directory. A directory containing the files you wish to process.")
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p.add_argument('--by', dest="sort_by_method", default=None, choices=("blur", "face-yaw", "face-pitch", "face-source-rect-size", "hist", "hist-dissim", "brightness", "hue", "black", "origname", "oneface", "final", "final-faster", "absdiff"), help="Method of sorting. 'origname' sort by original filename to recover original sequence." )
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p.add_argument('--by', dest="sort_by_method", default=None, choices=("blur", "motion-blur", "face-yaw", "face-pitch", "face-source-rect-size", "hist", "hist-dissim", "brightness", "hue", "black", "origname", "oneface", "final-by-blur", "final-by-size", "absdiff"), help="Method of sorting. 'origname' sort by original filename to recover original sequence." )
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p.set_defaults (func=process_sort)
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def process_util(arguments):
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@ -23,6 +23,9 @@ from facelib import LandmarksProcessor
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class BlurEstimatorSubprocessor(Subprocessor):
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class Cli(Subprocessor.Cli):
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def on_initialize(self, client_dict):
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self.estimate_motion_blur = client_dict['estimate_motion_blur']
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#override
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def process_data(self, data):
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filepath = Path( data[0] )
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@ -36,8 +39,14 @@ class BlurEstimatorSubprocessor(Subprocessor):
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face_mask = LandmarksProcessor.get_image_hull_mask (image.shape, dflimg.get_landmarks())
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image = (image*face_mask).astype(np.uint8)
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return [ str(filepath), estimate_sharpness(image) ]
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if self.estimate_motion_blur:
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value = cv2.Laplacian(image, cv2.CV_64F, ksize=11).var()
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else:
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value = estimate_sharpness(image)
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return [ str(filepath), value ]
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#override
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@ -46,8 +55,9 @@ class BlurEstimatorSubprocessor(Subprocessor):
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return data[0]
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#override
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def __init__(self, input_data ):
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def __init__(self, input_data, estimate_motion_blur=False ):
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self.input_data = input_data
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self.estimate_motion_blur = estimate_motion_blur
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self.img_list = []
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self.trash_img_list = []
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super().__init__('BlurEstimator', BlurEstimatorSubprocessor.Cli, 60)
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@ -66,7 +76,7 @@ class BlurEstimatorSubprocessor(Subprocessor):
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io.log_info(f'Running on {cpu_count} CPUs')
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for i in range(cpu_count):
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yield 'CPU%d' % (i), {}, {}
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yield 'CPU%d' % (i), {}, {'estimate_motion_blur':self.estimate_motion_blur}
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#override
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def get_data(self, host_dict):
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@ -103,7 +113,18 @@ def sort_by_blur(input_path):
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img_list = sorted(img_list, key=operator.itemgetter(1), reverse=True)
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return img_list, trash_img_list
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def sort_by_motion_blur(input_path):
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io.log_info ("Sorting by motion blur...")
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img_list = [ (filename,[]) for filename in pathex.get_image_paths(input_path) ]
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img_list, trash_img_list = BlurEstimatorSubprocessor (img_list, estimate_motion_blur=True).run()
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io.log_info ("Sorting...")
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img_list = sorted(img_list, key=operator.itemgetter(1), reverse=True)
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return img_list, trash_img_list
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def sort_by_face_yaw(input_path):
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io.log_info ("Sorting by face yaw...")
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img_list = []
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@ -876,6 +897,7 @@ def final_process(input_path, img_list, trash_img_list):
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sort_func_methods = {
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'blur': ("blur", sort_by_blur),
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'motion-blur': ("motion_blur", sort_by_motion_blur),
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'face-yaw': ("face yaw direction", sort_by_face_yaw),
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'face-pitch': ("face pitch direction", sort_by_face_pitch),
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'face-source-rect-size' : ("face rect size in source image", sort_by_face_source_rect_size),
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@ -903,7 +925,7 @@ def main (input_path, sort_by_method=None):
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io.log_info(f"[{i}] {desc}")
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io.log_info("")
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id = io.input_int("", 4, valid_list=[*range(len(key_list))] )
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id = io.input_int("", 5, valid_list=[*range(len(key_list))] )
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sort_by_method = key_list[id]
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else:
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