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Revert "Analyze Pass Models"
This reverts commit b124c7bd391f492f07df3fd4a5f13888be3f8426.
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parent
b124c7bd39
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@ -21,6 +21,52 @@ from deepface.extendedmodels import Age, Gender, Race, Emotion
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from deepface.commons import functions, realtime, distance as dst
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from deepface.commons import functions, realtime, distance as dst
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def analyze_init(models = []):
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#---------------------------------
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built_models = {}
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#if a specific target is not passed, then find them all
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if len(models) == 0:
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models = ['emotion', 'age', 'gender', 'race']
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print("Models to initialize: ", models)
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#---------------------------------
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if 'emotion' in models:
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built_models['emotion'] = Emotion.loadModel()
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if 'age' in models:
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built_models['age'] = Age.loadModel()
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if 'gender' in models:
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built_models['gender'] = Gender.loadModel()
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if 'race' in models:
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built_models['race'] = Race.loadModel()
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return built_models
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def verify_init(model_name = 'VGG-Face'):
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if model_name == 'VGG-Face':
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print("Loading %s model" % model_name)
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model = VGGFace.loadModel()
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elif model_name == 'OpenFace':
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print("Loading %s model" % model_name)
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model = OpenFace.loadModel()
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elif model_name == 'Facenet':
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print("Loading %s model" % model_name)
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model = Facenet.loadModel()
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elif model_name == 'DeepFace':
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print("Loading %s model" % model_name)
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model = FbDeepFace.loadModel()
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else:
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raise ValueError("Invalid model_name passed - ", model_name)
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return model
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def verify(img1_path, img2_path=''
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def verify(img1_path, img2_path=''
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, model_name ='VGG-Face', distance_metric = 'cosine', model = None):
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, model_name ='VGG-Face', distance_metric = 'cosine', model = None):
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@ -303,16 +349,13 @@ def analyze(img_path, actions= [], models= {}):
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return resp_obj
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return resp_obj
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#return resp_objects
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#return resp_objects
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def detectFace(img_path):
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def detectFace(img_path):
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img = functions.detectFace(img_path)[0] #detectFace returns (1, 224, 224, 3)
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img = functions.detectFace(img_path)[0] #detectFace returns (1, 224, 224, 3)
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return img[:, :, ::-1] #bgr to rgb
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return img[:, :, ::-1] #bgr to rgb
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def stream(db_path, model_name ='VGG-Face', distance_metric = 'cosine', enable_face_analysis = True):
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def stream(db_path, model_name ='VGG-Face', distance_metric = 'cosine', enable_face_analysis = True):
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realtime.analysis(db_path, model_name, distance_metric, enable_face_analysis)
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realtime.analysis(db_path, model_name, distance_metric, enable_face_analysis)
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#---------------------------
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#---------------------------
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functions.initializeFolder()
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functions.initializeFolder()
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