FCN in TensorFlow missing crop layer

Question

I am currently trying to implement FCN for semantic segmentation in TensorFlow as it was previously done in Caffe here.

Unfortunately I\'m struggling with following 3 th

Answer 1

Thanks to the advice from @24hours I have found answer to all the 3 questions. Unfortunately FCN of arbitrary size in tensorflow is a bit more complicated than in caffe, but hopefully I'll solve that soon as well.

1) tf.nn.conv2d_transpose can be used.

2) Crop layer is not needed, output_size of the tf.nn.conv2d_transpose layer can be used instead.

3) At the end I have used tf.nn.sparse_softmax_cross_entropy_with_logits