kinfeparty
kinfeparty
> Hi, could you also provide pretrained paths for det and clf which is the same as resume path. In the first look, I do not see a problem but...
> aha my bad! @YuhanPeng1219 (`batch size`, `channel`, `sample duration`, `height`, `width`) according to this annotation, your input must be (1,1,32,112,112) since you are using `egogesture_resnext_101_Depth_{32}.pth` {} stands for the...
> hi @kinfeparty, First things came to my mind is to use train_crop="center" and start learning_rate=0.01 and change lr_steps after observing the training. lr_steps divide the learning rate by 10...
Because I want to get the best result by myself, I use my pretrained model. I found that if I want to resume training in egogesture dataset.The bug exist. size...
Thank you ! So the jester model you provided in the website is the model you use to pretrain on egogesture dataset and get the best result?
Thank you, I will try it.
Hello, I use your pretrained model on jester and get 95% accuracy on validation dataset. I use center crop(I found another parameter"corner"). But there are some bug in center crop....
I found that the pretrained model's epoch is 14 and get 95% accuracy. Now the result in 10 epoch with my parameter is 80.8% accuracy. I think this model can't...
I use the defalut parameter. --lr_steps', default=[15, 25, 35, 45, 60, 50, 200, 250] The pretrained model is 14 epoch. So the lr_steps should be modified in jester dataset?
ok,I will try it and show the result.