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In the paper,said input Map is of any size. why the prototxt rpn training have the data layer with dim 1_3_224*224? 3Q!
The text was updated successfully, but these errors were encountered:
% Reshape net's input blobs caffe_net.reshape_as_input(net_inputs);
This caffe function could reshape the input size as input blobs. So the setting in prototxt will be changed.
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In the paper,said input Map is of any size. why the prototxt rpn training have the data layer with dim 1_3_224*224? 3Q!
The text was updated successfully, but these errors were encountered: