April 2020
Intermediate to advanced
438 pages
12h 2m
English
Content preview from Python Image Processing Cookbook
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How to do it...
Execute the following steps to implement age, gender, and emotion recognition with a pre-trained model in Keras:
- First, load the configuration of the pre-trained model from the JSON file provided and load the model weights from the pre-trained weights file, using the following code snippet:
json_file = open('models/model.json', 'r')loaded_model_json = json_file.read()json_file.close()loaded_model = model_from_json(loaded_model_json)loaded_model.load_weights('models/weights.29-3.76_utk.hdf5')
- You will use dlib's frontal face detector to detect and extract faces from the input face images. Get dlib's face detector with this next line of code:
detector = dlib.get_frontal_face_detector()
- For each face detected in an input ...
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