| import tensorflow as tf | |
| import numpy as np | |
| from preprocessing import preprocess | |
| from labels import classes | |
| model = tf.keras.models.load_model("hand_gesture_Model.h5") | |
| def predict_image(image): | |
| image = preprocess(image) | |
| prediction = model.predict(image)[0] | |
| results = {} | |
| for i,prob in enumerate(prediction): | |
| results[classes[i]] = float(prob) | |
| return results |