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Typo Mistake
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58b0b0a037
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@ -207,7 +207,7 @@ def analyze(img_path, actions = [], models = {}):
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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')
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action_idx = 0
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action_idx = 0
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img_244 = None # Set to prevent re-detection
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img_224 = None # Set to prevent re-detection
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#for action in actions:
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#for action in actions:
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for index in pbar:
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for index in pbar:
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action = actions[index]
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action = actions[index]
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@ -240,20 +240,20 @@ def analyze(img_path, actions = [], models = {}):
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resp_obj += emotion_obj
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resp_obj += emotion_obj
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elif action == 'age':
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elif action == 'age':
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if img_244 is None:
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if img_224 is None:
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img_244 = functions.detectFace(img_path, (224, 224), False) #just emotion model expects grayscale images
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img_224 = functions.detectFace(img_path, (224, 224), False) #just emotion model expects grayscale images
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#print("age prediction")
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#print("age prediction")
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age_predictions = age_model.predict(img_244)[0,:]
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age_predictions = age_model.predict(img_224)[0,:]
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apparent_age = Age.findApparentAge(age_predictions)
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apparent_age = Age.findApparentAge(age_predictions)
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resp_obj += "\"age\": %s" % (apparent_age)
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resp_obj += "\"age\": %s" % (apparent_age)
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elif action == 'gender':
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elif action == 'gender':
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if img_244 is None:
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if img_224 is None:
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img_244 = functions.detectFace(img_path, (224, 224), False) #just emotion model expects grayscale images
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img_224 = functions.detectFace(img_path, (224, 224), False) #just emotion model expects grayscale images
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#print("gender prediction")
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#print("gender prediction")
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gender_prediction = gender_model.predict(img_244)[0,:]
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gender_prediction = gender_model.predict(img_224)[0,:]
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if np.argmax(gender_prediction) == 0:
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if np.argmax(gender_prediction) == 0:
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gender = "Woman"
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gender = "Woman"
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@ -263,9 +263,9 @@ def analyze(img_path, actions = [], models = {}):
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resp_obj += "\"gender\": \"%s\"" % (gender)
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resp_obj += "\"gender\": \"%s\"" % (gender)
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elif action == 'race':
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elif action == 'race':
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if img_244 is None:
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if img_224 is None:
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img_244 = functions.detectFace(img_path, (224, 224), False) #just emotion model expects grayscale images
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img_224 = functions.detectFace(img_path, (224, 224), False) #just emotion model expects grayscale images
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race_predictions = race_model.predict(img_244)[0,:]
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race_predictions = race_model.predict(img_224)[0,:]
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race_labels = ['asian', 'indian', 'black', 'white', 'middle eastern', 'latino hispanic']
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race_labels = ['asian', 'indian', 'black', 'white', 'middle eastern', 'latino hispanic']
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sum_of_predictions = race_predictions.sum()
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sum_of_predictions = race_predictions.sum()
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