abing222

I read the source code for mobilenet in keras,the outside input(320,320),but The network will enforce it(224,224)

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if input_shape is None: default_size = 224 else: if backend.image_data_format() == 'channels_first': rows = input_shape[1] cols = input_shape[2] else: rows = input_shape[0] cols = input_shape[1] if rows == cols and...

I find that if the input is equal to (None,None,3),May be an error

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x = K.reshape(x, [-1, height, width, 2, channels_per_split]) #Failed to convert object of type to Tensor. Contents: [-1, None, None, 2, 16]. Consider casting #elements to a supported type.

Full Surround Monodepth from Multiple Cameras, I have some questions about this paper，Thank you for your answer！

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1、In multi camera training, do you only use spatio-temporal loss or temporal + spatio-temporal loss? 2、In multi camera training, do you use COLMAP depthmap supervise？