abing222
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abing222
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...
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.
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?