Anusree Sarkar

Thanks for the suggestion, I will try with SkipNet ShuffleNet. I have a few more queries though. There was an `exit(1)` on line 897 in train.py inside test_inference function. I...

 I tried with skipnet shufflenet but I am still getting 5fps of speed. I used ran the following code: `python main.py --load_config=fcn8s_shufflenet_test.yaml test Train FCN8sShuffleNet`

I tried as you suggested and now it has given me a significant improvement of 25 fps. However, the `sh optimize.sh` code is not improving the performance any further, I...

I am getting 67 FPS with images of size 704x576. Thanks for your help.

@MMY1994 I added this line in infer_optimize.py: `is_training = G.get_tensor_by_name('import/network/input/Placeholder_2:0')`, below: `x = G.get_tensor_by_name('import/network/input/Placeholder:0')` and added `is_training: False` after `x: img` in `sess.run(...)`.

@MMY1994 @MSiam Hi, Even I am getting a difference of 8 fps between optimize_inference branch and the master branch with the optimize_inference branch being faster, not sure why. My initial...

@MMY1994 Have you been able to figure out why there is a difference?

@Zitzo this is how my code looks like: `x_batch = self.test_data['X'][idx:idx + 1] y_batch = self.test_data['Y'][idx:idx + 1] # update idx of mini_batch idx += 1 # Feed this variables...

Hi @leigao97 I couldn't find the fix in my previous company. I am in a new company now :)