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clean code
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@ -254,10 +254,8 @@ def verify(img1_path, img2_path = '', model_name ='VGG-Face', distance_metric =
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#------------------------------
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if len(img_list) > 1:
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disable_option = False
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else: #calling deepface in a for loop causes lots of progress bars. this block prevents this problem.
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disable_option = True
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#calling deepface in a for loop causes lots of progress bars. this prevents it.
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disable_option = False len(img_list) > 1 else True
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pbar = tqdm(range(0,len(img_list)), desc='Verification', disable = disable_option)
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@ -362,7 +360,7 @@ def analyze(img_path, actions = [], models = {}, enforce_detection = True, detec
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if len(actions) == 0:
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actions= ['emotion', 'age', 'gender', 'race']
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print("Actions to do: ", actions)
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#print("Actions to do: ", actions)
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#---------------------------------
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@ -375,7 +373,7 @@ def analyze(img_path, actions = [], models = {}, enforce_detection = True, detec
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if 'age' in actions:
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if 'age' in models:
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print("already built age model is passed")
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#print("already built age model is passed")
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age_model = models['age']
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else:
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age_model = Age.loadModel()
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@ -397,17 +395,19 @@ def analyze(img_path, actions = [], models = {}, enforce_detection = True, detec
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resp_objects = []
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global_pbar = tqdm(range(0,len(img_paths)), desc='Analyzing')
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disable_option = False if len(img_paths) > 1 else True
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global_pbar = tqdm(range(0,len(img_paths)), desc='Analyzing', disable = disable_option)
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#for img_path in img_paths:
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for j in global_pbar:
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img_path = img_paths[j]
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resp_obj = "{"
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disable_option = False if len(actions) > 1 else True
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#TO-DO: do this in parallel
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pbar = tqdm(range(0,len(actions)), desc='Finding actions')
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pbar = tqdm(range(0,len(actions)), desc='Finding actions', disable = disable_option)
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action_idx = 0
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img_224 = None # Set to prevent re-detection
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