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Hi there,
I was wondering if I could request the image ids you used when doing your comparison to MPII in Fig 3 of our paper.
Thanks!
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Hi, I was trying to reproduce the **duc_se.pth** model but without success.
I'm using the code in train_sppe with the default parameters in opt.py.
The model trains well and the train and validati…
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When tilting your head the classification accuracy is drastically reduced to the point where a >90 degree rotated camera will have very poor performance. I realize that that this might seem like a con…
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Hello, impressive work. I am wondering whether you can post the results on MPII of the Pyranet. If possible, would you mind posting the pre-trained model as well. Thanks.
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train_sppe中的opt.py文件中nClasses默认值是17,也就是说coco数据集中17个关键点,但是在测试时的opt.py中nClasses是33,并且我看了你们提供的训练好的模型,最后一层的输出channel也是33,所以想问一下,最后一层输出channel到底是33还是17?
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### Type of Issue
- Question
Is the MPI skeleton model implemented using the same coco/body_25 procedure with different keypoint locations, or is ti implemented using a different mechanism?
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The link of MPII provided in the datasets/preprocess/README.txt is to download the images. Could you also provide the annotation files you used? Thanks!
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I'm trying to test on MPII with a custom config set to my data path and using the test.py found in integral_human_pose. I'm getting this error:
`'mpii_Dataset' is not defined`
because of course you'…
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In your paper , you achieved 70.4AP using 256x192_pose_resnet_50,
Results on COCO val2017 with detector having human AP of 56.4 on COCO val2017 dataset:
Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) …
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Hi,
I do not quite understand the way you process the mpii dataset. Did you first crop the people from the image with the scale and center coordinates, and after that implement the rotate and re-sca…