I am trying to implement the game of Rock, paper and scissors in jupyther notebook using tensorflow with a neural network, the code I am trying to implement is this one: https://learnopencv.com/playing-rock-paper-scissors-with-ai/
When I use my webcam It works correctly, but when I use a dslr camera it doesnt work
The specific line when the code broke is here:
history = model.fit(x=augment.flow(trainX, trainY, batch_size=batchsize), validation_data=(testX, testY),
steps_per_epoch= len(trainX) // batchsize, epochs=epochs)
The complete error is :
Epoch 1/15
7/7 [==============================] - ETA: 0s - loss: 1.0831 - accuracy: 0.6154
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_17300/1526770187.py in <module>
4
5 # Start training
----> 6 history = model.fit(x=augment.flow(trainX, trainY, batch_size=batchsize), validation_data=(testX, testY),
7 steps_per_epoch= len(trainX) // batchsize, epochs=epochs)
8
C:\ProgramData\Anaconda3\lib\site-packages\keras\utils\traceback_utils.py in error_handler(*args, **kwargs)
65 except Exception as e: # pylint: disable=broad-except
66 filtered_tb = process_traceback_frames(e.traceback_)
---> 67 raise e.with_traceback(filtered_tb) from None
68 finally:
69 del filtered_tb
C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\training.py in tf__test_function(iterator)
13 try:
14 do_return = True
---> 15 retval_ = ag_.converted_call(ag.ld(step_function), (ag.ld(self), ag_.ld(iterator)), None, fscope)
16 except:
17 do_return = False
ValueError: in user code:
File "C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\training.py", line 1557, in test_function *
return step_function(self, iterator)
File "C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\training.py", line 1546, in step_function **
outputs = model.distribute_strategy.run(run_step, args=(data,))
File "C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\training.py", line 1535, in run_step **
outputs = model.test_step(data)
File "C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\training.py", line 1499, in test_step
y_pred = self(x, training=False)
File "C:\ProgramData\Anaconda3\lib\site-packages\keras\utils\traceback_utils.py", line 67, in error_handler
raise e.with_traceback(filtered_tb) from None
File "C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\input_spec.py", line 264, in assert_input_compatibility
raise ValueError(f'Input {input_index} of layer "{layer_name}" is '
ValueError: Input 0 of layer "model_1" is incompatible with the layer: expected shape=(None, 224, 224, 3), found shape=(None, 290, 290, 3)
THE COMPLETE CODE OF THE PROGRAM IS HERE: https://learnopencv.com/playing-rock-paper-scissors-with-ai/
From the error, it seems like the shape of the input images is (290, 290, 3). Resizing the images to (224, 224, 3) will solve the issue. Please add the following line before normalizing.
#Resizing images
images = np.resize(images,(400, 224, 224, 3))
#Normalizing images
images = np.array(images, dtype="float") / 255.0