Comments (5)
Hi, I think x and y are swapped.
You can try keypoint = keypoint[:,::-1]
after this line
https://github.com/YuliangXiu/MobilePose-pytorch/blob/3a64e58990cfca24b99bb1113d0f6accc2441325/estimator.py#L70
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Thanks @Fangyh09 , yeah orientations has been fixed now ( by your code snippet) but skeleton is little bit translated to right.
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I think it needs a vertical flip.
This image is not good to judge, could you try another image which is not so symmetrical?
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i have swapped points from bottom to top and swapped columns too
keypoints = keypoints[:,::-1]
keypoints = keypoints[::-1,:]
by swaping columns result got more better but same issue with other images too.
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Yeah, I think the above line is not right. You can try to replace it by:
pose_fun = lambda x: ((((x + 1) * self.output_size - 1) / 2.0-[left_pad, top_pad]) * 1.0 /np.array([new_w, new_h])*np.array([w,h]))
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Related Issues (20)
- gpu usage is very low HOT 4
- I want to know heatmap value's range HOT 7
- Any technical report for this repo? HOT 1
- Installation problem HOT 1
- How many epoches finally ?
- 训练好久acc达不到共享的模型
- 倘若关节点不在检测框内,如何得到该坐标? HOT 2
- License?
- About results HOT 1
- 模型下载,有百度网盘链接吗? HOT 1
- image input-size must be 224?
- No module named 'imgaug' HOT 1
- Output format
- how to cumpute value of confidence
- Does this repo support train with COCO dataset?
- 1
- which model is fastest? HOT 1
- Pre-trained model? HOT 2
- 输出的图像存在负坐标的情况,请问是需要经过什么后处理操作吗? 未在代码中找到相关处理 HOT 1
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