(ASK) Keras Sliding Window Python Image Classification -


i've problem.. how connect keras , sliding window? i've trained model called 'model1' want use in sliding window detect objects.

any suggestion? thanks

img = cv2.imread('frame.jpg', cv2.imread_grayscale) window_sizes = [150,150]  json_file = open('motordewa.json', 'r') loaded_model_from_json = json_file.read() json_file.close() loaded_model = model_from_json(loaded_model_from_json) loaded_model.load_weights("motordewa.h5")  def find_obj(img, predict_function, step=150, window_sizes=window_sizes):     boxonezero = 0      win_size in window_sizes:         top in range(0,img.shape[0] - win_size + 1, step):             left in range(0, img.shape[1] - win_size + 1, step):                 box = (top, left, top + win_size, left + win_size)             cropped_img = img[box[0]:box[2], box[1]:box[3]]             cropped_img = np.array(cropped_img).reshape((1,1,150,150))              print('predicting %r' % (box, ))             boxonezero = predict_function(cropped_img)             if boxonezero == 1:                 cropped_img.save('save'+file+'jpeg')                 boxonezero = box  def predict_function(x):     result = loaded_model.predict(x)     result = result[0]     if result==1:         return 1     else:         return 0  findobj = find_obj(img,predict_function)

the error i've found:

traceback (most recent call last): file "d:\stephen\stts\tensorflow\videoext\sliding-window 2\sliding-window\sliding_window coba.py", line 53, in findmotor = find_motor(img,predict_function) file "d:\stephen\stts\tensorflow\videoext\sliding-window 2\sliding-window\sliding_window coba.py", line 39, in find_motor boxonezero = predict_function(cropped_img) file "d:\stephen\stts\tensorflow\videoext\sliding-window 2\sliding-window\sliding_window coba.py", line 48, in predict_function if result==1: valueerror: truth value of array more 1 element ambiguous. use a.any() or a.all()


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