Comments (9)
GajuuzZ
commented on May 29, 2024
Sorry, but I can't read chinese.
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2111905222
commented on May 29, 2024
Really sorry for this, this is the question： why the train.py file in Actionsrecognition folder can not found Visualizer？ Are you fotget to push it ？（I have install this package， but it doesn't work）
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GajuuzZ
commented on May 29, 2024
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2111905222
commented on May 29, 2024
Really really appreciate of this！！！！ I got one more question： Do you have the word descrition or picture,which can show the relation between the skeleton and the number 0~13？
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xwr96
commented on May 29, 2024
@2111905222 你好！请问你的数据集是自己做的还是下载的？作者的dataset下载链接好像失效了
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2111905222
commented on May 29, 2024
@2111905222 你好！请问你的数据集是自己做的还是下载的？作者的dataset下载链接好像失效了
我也下载不了作者的数据集，得自己找，作者github上有关于制作数据集的py文件，可以适当修改下
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nobody-cheng
commented on May 29, 2024
也下载不了作者的数据集，得自己找，作者github上有关于制作数据集的py文件，可以适当修改
请问你找到了吗？能否共享一份百度云
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yangxue-1
commented on May 29, 2024
@2111905222 你好！请问你的数据集是自己做的还是下载的？作者的dataset下载链接好像失效了
我也下载不了作者的数据集，得自己找，作者github上有关于制作数据集的py文件，可以适当修改下
您好，请问是哪个是有关制作数据集的py文件，可以分享一下吗。我的微信18332257361
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yichunx1
commented on May 29, 2024
您好，他这个pre trained model链接没了，请问您能方便发我一份吗？我QQ:1826448973, 邮箱：[email protected] 谢谢您了！
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Related Issues (20)
- Trck
- st-gcn openpose HOT 2
- How to solve the problem of No module named ‘cv2’ HOT 1
- Pre-training model HOT 2
- How can I get a falling dataset (image and skeleton) ?
- Le2i Fall detection Dataset HOT 1
- Coffee_room_new/Home_new.csv HOT 4
- Really thank you!! HOT 1
- get the labels are all 0 from create_dataset_1.py.
- decisions for the 7 actions
- Is it possible to change detect model? HOT 5
- .
- Coffee_room_new-set(labelXscrw).pkl和Home_new-set(labelXscrw).pkl HOT 1
- How Do I Make a dataset
- valid_loader, train_loader_ = load_dataset() is written backwards( 写反了了吗)? HOT 2
- SPPE FastPose (AlphaPose) - resnet101 Lost HOT 2
- Pretrain drive Access is not available. HOT 4
- Pretrain drive Access is not available+1 HOT 1
- Pretrain drive Access is not available+2 HOT 1
- Google Drive Links Dead - Please Reupload! HOT 8
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