simon-rob

@eschao, sorry for not being clearer. I want to have use the doublepagerender for landscape reading, however the cover pages mess up the pagination. So I would like the experience...

@mavanmanen I got it working on Ubuntu with a RTX 3090 CUDA 11.1 via the following Assuming you have successfully compiled TensorFlow 2.x locally change all: (in .py files) ```...

I seems to be related to this known issue: https://stackoverflow.com/questions/48709839/stopiteration-generator-output-nextoutput-generator?noredirect=1&lq=1 I changed the generator function in the utils directory to: def generator(root_path, path_file, batch_size, n_classes, input_height, input_width, train=True): f =...

I have just downloaded your latest prototxt and it's fixed! 

@MrWhiteHomeman, It depends if you successfully compiled the GPU version of Caffe and you didn't disable the GPU by uncommenting CPU_ONLY := 1 in the Makefile.config If you do have...

@MrWhiteHomeman I haven't bench-marked the speed yet as I am not interested in using PC GPU speed. I am interested in CPU/GPU inference on mobile/embedded. But I have got 45-50ms...

@shudct That code is normalising the inputs in the same way that the author trained the network. See https://www.coursera.org/learn/deep-neural-network/lecture/lXv6U/normalizing-inputs for a mathematical explaination. Have you tried taking the code out...

It is scaling the input as described in the video with the same scaling that Robert used during the training. Have a look at the scale parameter in train_merged.prototxt: ```...