Open bhatshashank opened 6 years ago
@bhatshashank
You should stop if you saw the accuracy was 0 after one hour. There must be something wrong.
If you only changed the pic folder, make the txt file in the encoder.proyotxt has which images you want to have.
And as I am training on my own dataset from raw.
Starting training from encoder-decoder directly ( no need for encoder training at first) 2 X speed
change the dropout to caffe dropout 2 X speed
On my gtx 1080ti , 2600 pics 640 480, 10 hours for iteration 120000 batch size :3
Hope it helps
@ewen1024
Thank you. I dint know that we can directly train encoder-decoder part without training encoder.
Hi @ewen1024 , I just started using ENet in caffe. Just wondering if we can train encoder-decoder without training encoder at beginning, does that mean I can train the whole network on Cityscapes first, get a .caffemodel, then use this weights to fine-tune on my own dataset? I mean fine-tune the whole encoder-decoder together?
@wzhouuu yeah, directly run the training of encoder-decoder works for me.
thanks @ewen1024! I started training, and realized this caffe version doesn't take validation set like Torch implementation. It saves weights every 10000 iterations. I'm not convinced the later iteration is always better than the previous ones. How did you select the best model if the code doesn't have validation process? Thanks for your help!
@ewen1024 Hello, there are some questions to ask for your help.
A. if segment one class, is the output number set to 1 or 2(add background)in deconv6 layer?
B. if i test my own data , do i need to make colours label png like cityscapes1.png?
Hi all,
I am doing semantic segmentation for first time. I had kept cityscapes data to train but the accuracy is 0 throughout & loss is constant 87 with lr = 5e-06. It has been almost 18 hrs on GTX 980 Ti GPU with 6 GB RAM. To be frank I am not training whole of cityscapes data but only images from aachen folder. I have followed all the instructions mentioned in Github page to run this. I have not changed any of the default settings.
Can anyone guide me to train encoder? I just want to complete the flow of semantic segmentation training as early as possible, So that I can train on my own data set.