Tang Lee

@sportbilly13 Could you paste more messages? At which line do you get this error? The model does not use channel 48 at any layer so this is weird.

@sportbilly13 Did you modify the input placeholder to a smaller size? (eg. 55x55 as I see in your output?) It should be 227x227.

@sportbilly13 I tested conv2d and find while I do this I get the same error: ``` a = tf.placeholder('float32', [None, 27,27,48]) k = tf.Variable(np.zeros((5,5,48,256)), dtype='float32') # This get the same...

Could you post your a rendered view image? A possible problem is that you have "grey object on white background". We need "white object on black backgroud".

Would you try inverting the views so that they have black background? White background would make the activations unstable. You can also try my rendered views: https://drive.google.com/open?id=0B4v2jR3WsindMUE3N2xiLVpyLW8 - Yes, I...

@priyam1994 - What's your learning rate? 0.001 should be good. - You can use TensorBoard for Visualization. Specifically start it by `$ tensorboard --logdir tmp/ --port 5000`, and view the...

@priyam1994 Then I'm not very sure what problem it may be. I would see if gradients exploded (in the "distribution" tab in tensorboard), or weights are not initialized well, etc.

@weiweisunWHU @priyam1994 @Xmen0123 Sorry! I found there was a typo in readme. The "--learning-rate=0.001" should be "--learning_rate=0.001", so that argument didn't work... Also, I found 0.0001 is more reliable for...

@youkaichao It should work with black background. Mine is at the [comment above](https://github.com/WeiTang114/MVCNN-TensorFlow/issues/2#issuecomment-309082657). Otherwise, you may just invert the images offline or online (invert the image in input.py, after reading...

@youkaichao Black is 0 and white is 255. My theory is that zero-background passed into convolution layers (practically matrix multiplications) leads to zero outputs, while the object in greyscale has...