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2018-12-30 20:55:21 -0600	edited question	DNN module: switch Torch model between train() and evaluation() modes DNN module: set Torch model to evaluation() mode Torch models can run in two different modes: train() and evaluation().
2018-12-21 00:59:10 -0600	commented answer	DNN module: switch Torch model between train() and evaluation() modes @dkurt Thanks for the pull request!
2018-12-21 00:56:05 -0600	received badge	● Enthusiast
2018-12-20 23:52:08 -0600	commented answer	DNN module: switch Torch model between train() and evaluation() modes @dkurt If I could, I would give you 1000000 upvotes. Thank you so much for your kind feedback!
2018-12-20 23:21:17 -0600	commented answer	DNN module: switch Torch model between train() and evaluation() modes @dkurt I know that some layers, such as dropout or batch normalization are not deterministic during the training phase.
2018-12-20 21:04:43 -0600	marked best answer	DNN module: switch Torch model between train() and evaluation() modes Torch models can run in two different modes: train() and evaluation(). Results of some layers such as batch normalization will be affected by the modes. Currently it seems (i.e., when I tested) that OpenCV's DNN module loads and runs torch models in train() mode. Is there a way to use torch models in evaluation() mode using OpenCV? (ADDED) Below is the lua code for running the model with two different modes. `require 'torch' require 'image' require 'nn' local net = torch.load('model.t7') net:evaluate() -- you can turn this on or off local image_input = image.load('input_image.jpg', 3, 'float') image_input:resize(1, image_input:size()[1], image_input:size()[2], image_input:size()[3]) local result = net:forward(image_input) image.save('result.jpg', result[1])`
2018-12-20 21:04:43 -0600	received badge	● Scholar (source)
2018-12-20 21:04:37 -0600	commented answer	DNN module: switch Torch model between train() and evaluation() modes Thanks for your answer! I also got same result by using OpenCV for Python. May I ask one more question? Then is there a
2018-12-20 20:56:02 -0600	commented answer	DNN module: switch Torch model between train() and evaluation() modes Thanks for your answer. I also got same result by using OpenCV for Python. But my code is on Android and the result from
2018-12-20 03:41:35 -0600	edited question	DNN module: switch Torch model between train() and evaluation() modes DNN module: set Torch model to evaluation() mode Torch models can run in two different modes: train() and evaluation().
2018-12-20 03:39:49 -0600	commented question	DNN module: switch Torch model between train() and evaluation() modes @dkurt The model is on https://github.com/chuanli11/MGANs/blob/master/model/Picasso.t7 . (ADDED) I added the my lua code
2018-12-20 03:35:46 -0600	commented question	DNN module: switch Torch model between train() and evaluation() modes @dkurt The model is on https://github.com/chuanli11/MGANs/blob/master/model/Picasso.t7 .
2018-12-20 03:31:26 -0600	commented question	DNN module: switch Torch model between train() and evaluation() modes @dkurt Oh, I used net:evaluate(), not net:evaluation(), in torch. Sorry for the typo. I am sure the inputs were exactly
2018-12-20 03:27:40 -0600	commented question	DNN module: switch Torch model between train() and evaluation() modes @dkurt Oh, I used net:evaluate(), not net:evaluation(), in torch. Sorry for the typo. I am sure the inputs were exactly
2018-12-20 03:19:16 -0600	commented question	DNN module: switch Torch model between train() and evaluation() modes @dkurt I have a deconvolution network. I ran it on my desktop with same input, once with model:train() and the other tim
2018-12-20 02:59:01 -0600	commented question	DNN module: switch Torch model between train() and evaluation() modes @dkurt Would you explain to me a bit in detail? I tried calling model:evaluation() and then using torch.save() to save t
2018-12-20 02:42:59 -0600	asked a question	DNN module: switch Torch model between train() and evaluation() modes DNN module: set Torch model to evaluation() mode Torch models can run in two different modes: train() and evaluation().
2018-11-08 02:31:40 -0600	commented question	Is there implicit limit for DNN input size of OpenCV Android? @berak Testing on a PC rather than Android seems a good idea. Thanks!
2018-11-07 20:19:55 -0600	commented question	Is there implicit limit for DNN input size of OpenCV Android? @berak I added the prototxt content to the post.
2018-11-07 20:19:27 -0600	received badge	● Editor (source)
2018-11-07 20:19:27 -0600	edited question	Is there implicit limit for DNN input size of OpenCV Android? Is there implicit limit for DNN input size of OpenCV Android? I trained a Caffe model which does NOT specify input sizes
2018-11-07 03:15:40 -0600	commented question	Is there implicit limit for DNN input size of OpenCV Android? @berak It's OpenCV 3.4.2 for Android. The network is a caffe network without specific input size.
2018-11-07 03:01:49 -0600	received badge	● Organizer (source)
2018-11-07 03:01:43 -0600	asked a question	Is there implicit limit for DNN input size of OpenCV Android? Is there implicit limit for DNN input size of OpenCV Android? I trained a Caffe model which does NOT specify input sizes