您好，我也需要这个代码可视化代码，希望您能分享给我，谢谢您！我的信箱是: [email protected]

Hello, I would like to know what is the basis for your fine-tuning of the learning rate ?
The experiment ?
Each adjustment of a parameter, an experiment is performed ？

return [
            {'params': first_conv_weight, 'lr_mult': 1, 'decay_mult': 1, 'name': "first_conv_weight"},
            {'params': first_conv_bias, 'lr_mult': 2, 'decay_mult': 0, 'name': "first_conv_bias"},
            {'params': normal_weight, 'lr_mult': 1, 'decay_mult': 1, 'name': "normal_weight"},
            {'params': normal_bias, 'lr_mult': 2, 'decay_mult': 0, 'name': "normal_bias"},
            {'params': bn, 'lr_mult': 1, 'decay_mult': 0, 'name': "BN scale/shift"},
            {'params': custom_weight, 'lr_mult': 1, 'decay_mult': 1, 'name': "custom_weight"},
            {'params': custom_bn, 'lr_mult': 1, 'decay_mult': 0, 'name': "custom_bn"},
            # for fc
            {'params': lr5_weight, 'lr_mult': 5, 'decay_mult': 1, 'name': "lr5_weight"},
            {'params': lr10_bias, 'lr_mult': 10, 'decay_mult': 0, 'name': "lr10_bias"},
        ]

`

`

Can Action-Net run as an online inference version(frame by frame input) like TSM(https://github.com/mit-han-lab/temporal-shift-module/tree/master/online_demo)?

In the models.py file under models line 132 'from models.temporal_shift_res2net import make_temporal_shift' and line 137 'from ops.non_local import make_non_local' error. Where should I import from

Thank you for your work. After I checked the source code, I have some questions. In model.py, I see that you use the shift operation of TSM model, but it is not explained in the paper. Is the test result obtained by adding the ACTION　module you proposed to the TSM model?
Thanks for your reply.

Hi, I'm a newbie. I would like to ask what is the code on the Jester dataset, something-something V2 dataset and generating the training, testing, and validating PKL files?

Hi, thank you for your great work.
I tried to reproduce your work, but the machine was shut down.
So, I tried to resume the training process, but the epoch started at 0.
Is there any way to resume my training process from the checkpoint? (the epoch should start at the previous state)

code path is models/action.py, line63-72.
line 63 I could konw x.size is nt, c, h, w. After x forward from line 63 to line 72, could get x_shift and thex_shift.size is nt, c,h,w.
The x_shift.size is euqal to x.size. why don't make x_shift = x?
I want to konw what function of these code.

Hello! I want to ask a question about the paper.

Do you directly use the result of C3D:Resnext101 in their paper or train the model by yourself?

Thanks!

Hi, I am a beginner, can you tell me how to cam visualization?

Hello, I follow your suggestion and this is my hyperparameters of 16 frames training.

python3 train.py --is_train --is_shift \
--dataset EgoGesture --clip_len 16 \
--shift_div 8 --wd 1e-5 --dropout 0 \
--cuda_id $cuda_id --batch_size 16 --lr_steps 10 15 20 \
--lr 25e-4 --base_model resnet50 --epochs 25

The val accuracy is quiet lower than 8 frames result,which is 91.7 and 8 frames is 94.4.
I really want to reproduce the result of 16 frames in Egogesture. Is there any hyperparameter I need to change?

Hi! Thank you for your wonderful project! Could you release the code for the CAM picture? I want to learn more about visualization.

Thank you very much for providing the source code of this project, I want to use this project to experiment on the Something-Something V1, but the annotation file of the Something-Something V1 is in csv format, I am having difficulty with how to generate the pkl-file. Can you provide the code to generate the pkl-file or the pkl-file about the Something-Something V1. Thanks.

Thank you for the code, my dataset video is 2s, what do I need to pay attention to? TO MAKE ACTIONNET WORK BETTER.

Could you fix the multi gpu training error
I think in the action.py have some issue

Hi, I have downloaded your jester-resnet pretrained model and jester annotations. I find the lables in test.pkl are all 0. When I run the test_jester_8f.sh, I get top1 =0, top5 = 100 witch mode in test.py is 'test' and use the jester_annotation test.pkl.

Do you have any pre-training models or check-point?
Thanks

Hello, after reading your code and paper, I am very interested in the visualization part of your model(Figure 1.). Your input is five-dimensional data which include time dimension. How do you call the CAM module? Or could open source the code about CAM you have adjusted, thanks a lot.

In Jester dataset, TSM result in Table 1 of your paper is 94.4 (ResNet50 8frame 3crop 10clip),
But TSM result in origin paper(Table 1) is 97.0 (ResNet50 8frame full-resolution 2clips ).
I test the TSM by myself from the TSM official public code and it can also reach 97.0.
How cause this Gap between 94.4 and 97.0?

Can you provide simple code to plug action-net redual block to nomal resnet50?
Thanks!

Thank you very much for your work. Can you provide visualization code?

could you give me the Pretrained models about mobileV2net in ssV2 for train