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OpenMMLab Pose Estimation Toolbox and Benchmark.

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In the det_checkpoint file top_down_img_demo_with_mmdet.py, if I want to train my own data, then in addition to training the attitude estimation model, I also need to train a target detection...

![image](https://user-images.githubusercontent.com/115400289/199434279-b8122d69-77c9-4b60-afb5-82b252fb65ea.png)

status/need more info

In config, we can set `scale_aware_sigma` to True to use dynamic sigma, like below: ``` data_cfg = dict( image_size=512, base_size=256, base_sigma=2, heatmap_size=[128], num_joints=channel_cfg['dataset_joints'], dataset_channel=channel_cfg['dataset_channel'], inference_channel=channel_cfg['inference_channel'], num_scales=1, scale_aware_sigma=True, ) ``` in...

比如说一些可以插在backbone的模块等,谢谢!

kind/enhancement

I was able to train a model using mmpose on cooc tiny following the tutorial and run predict and inference. But how may I evaluate my new model and report...

Do I need to frame the body when labeling data with labelme? How to convert a json file to coco format

kind/discussion

Hello, I am very interested in the work of RLE. So when I found out that mmpose implements RLE Loss, I was also very excited. However, when I compared the...

question

我使用的程序是tool/test.py,算法是voxelpose,我输入的campus类型的(2000*3个摄像头图片),我想得到程序推理出来的2000张融合的照片,我该怎么做?我应该用tool/test.py来推理吗?

I want to input videos from multiple perspectives (such as three videos) into the algorithm"[3D human pose](https://github.com/open-mmlab/mmpose/blob/master/demo/docs/3d_human_pose_demo.md) "to get a 3D result. What should I do?

Hi, 请问下 1 hrnet 训练的时候,采用了哪些数据增广呢?是否有针对不同的物体或者人 检测框box 尺寸和大小随机调整的数据增广呢? 具体文档链接是? 2 就是说假如前面输入的人检测出来的box 比人要大的多而且尺寸 宽高比也很异常,那么这种情况的数据增广是怎么处理的呢? 具体代码体现在哪个地方呢? 具体代码位置是? BR

question