Python keras.applications.resnet50.decode_predictions() Examples
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def predict(model, img, target_size, top_n=3): """Run model prediction on image Args: model: keras model img: PIL format image target_size: (w,h) tuple top_n: # of top predictions to return Returns: list of predicted labels and their probabilities """ if img.size != target_size: img = img.resize(target_size) x = image.img_to_array(img) x = np.expand_dims(x, axis=0) x = preprocess_input(x) with graph.as_default(): preds = model.predict(x) return decode_predictions(preds, top=top_n)