Comments (5)
JunweiLiang
commented on August 28, 2024
1
To predict the motion of human's arm, you will need to have annotations of the human poses/keypoints, etc, instead of positions of their feet. The model would still work reasonably well.
This paper, for example, predicts human poses.
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JunweiLiang
commented on August 28, 2024
Please refer to #4
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isaryo
commented on August 28, 2024
You may release that part of the code in the future?
I want to see the code.
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JunweiLiang
commented on August 28, 2024
No. However, #4 includes a critical part of the code I used for visualization.
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Kamel-schbock
commented on August 28, 2024
Could you please tell me where i should specify the human's poses instead of feet in your code ?
Why you can't release that part of the code 😅? Maybe it is hard for us if we don't really know the structure of your code... if there is no visualization how can i ensure the efficiently of this algorithm😅
Thanks 😊
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Related Issues (20)
- regarding the preprocess.py HOT 1
- How did you do action detection on ActEV dataset?and how did you overcome class imbalance in ActEV VIRAT? HOT 2
- What is the backbone network used in the pretrained object detector for the person behavior module? HOT 2
- regarding visualization the ActEV world coordinates HOT 8
- try to visualization HOT 1
- How do you calculate Mean average precision? HOT 1
- request visualization HOT 6
- about the activity prediction HOT 5
- Download ActEV Dataset HOT 5
- How to get prepared data? HOT 1
- solved，thank you!
- exp mask HOT 1
- visualization of the results HOT 1
- train without activity prediction, Colab Running Time HOT 8
- Is there a opencv code to visualize predictions on my own video ? HOT 1
- Is there a config file for your model ? HOT 1
- visualization HOT 5
- Visualization of activity prediction HOT 1
- ETHUCY Dataset test split size HOT 1
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