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deepid in api and stream
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@ -9,7 +9,7 @@ from tqdm import tqdm
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import tensorflow as tf
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from deepface import DeepFace
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from deepface.basemodels import VGGFace, OpenFace, Facenet, FbDeepFace
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from deepface.basemodels import VGGFace, OpenFace, Facenet, FbDeepFace, DeepID
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from deepface.extendedmodels import Age, Gender, Race, Emotion
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#import DeepFace
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@ -26,7 +26,7 @@ tic = time.time()
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print("Loading Face Recognition Models...")
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pbar = tqdm(range(0,4), desc='Loading Face Recognition Models...')
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pbar = tqdm(range(0,5), desc='Loading Face Recognition Models...')
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for index in pbar:
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if index == 0:
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@ -41,6 +41,9 @@ for index in pbar:
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elif index == 3:
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pbar.set_description("Loading Facebook DeepFace")
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deepface_model = FbDeepFace.loadModel()
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elif index == 4:
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pbar.set_description("Loading DeepID DeepFace")
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deepid_model = DeepID.loadModel()
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toc = time.time()
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@ -195,6 +198,8 @@ def verify():
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resp_obj = DeepFace.verify(instances, model_name = model_name, distance_metric = distance_metric, model = openface_model)
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elif model_name == "DeepFace":
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resp_obj = DeepFace.verify(instances, model_name = model_name, distance_metric = distance_metric, model = deepface_model)
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elif model_name == "DeepID":
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resp_obj = DeepFace.verify(instances, model_name = model_name, distance_metric = distance_metric, model = deepid_model)
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elif model_name == "Ensemble":
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models = {}
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models["VGG-Face"] = vggface_model
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@ -9,11 +9,7 @@ import re
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import os
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os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
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#from basemodels import VGGFace, OpenFace, Facenet, FbDeepFace
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#from extendedmodels import Age, Gender, Race, Emotion
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#from commons import functions, realtime, distance as dst
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from deepface.basemodels import VGGFace, OpenFace, Facenet, FbDeepFace
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from deepface.basemodels import VGGFace, OpenFace, Facenet, FbDeepFace, DeepID
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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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@ -57,10 +53,18 @@ def analysis(db_path, model_name, distance_metric, enable_face_analysis = True):
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model = FbDeepFace.loadModel()
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input_shape = (152, 152)
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elif model_name == 'DeepID':
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print("Using DeepID model backend", distance_metric,"distance.")
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model = DeepID.loadModel()
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input_shape = (55, 47)
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else:
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raise ValueError("Invalid model_name passed - ", model_name)
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#------------------------
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input_shape_x = input_shape[0]
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input_shape_y = input_shape[1]
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#tuned thresholds for model and metric pair
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threshold = functions.findThreshold(model_name, distance_metric)
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@ -341,7 +345,7 @@ def analysis(db_path, model_name, distance_metric, enable_face_analysis = True):
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#-------------------------------
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#face recognition
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custom_face = functions.detectFace(custom_face, input_shape)
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custom_face = functions.detectFace(custom_face, (input_shape_y, input_shape_x))
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#check detectFace function handled
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if custom_face.shape[1:3] == input_shape:
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