yunkchen

you could check your pose json files in openpose.

> 你好，请问下openpose 中的姿势 json 文件是怎么生成的呢？ 类似这样，用openpose推理后，结果format成shapy的输入格式 ``` people_data_tmp = { "person_id": [-1], "pose_keypoints_2d": datum.poseKeypoints[p_idx].flatten().tolist(), "face_keypoints_2d": datum.faceKeypoints[p_idx].flatten().tolist(), "hand_left_keypoints_2d": datum.handKeypoints[0][p_idx].flatten().tolist(), "hand_right_keypoints_2d": datum.handKeypoints[1][p_idx].flatten().tolist(), "pose_keypoints_3d": [], "face_keypoints_3d": [], "hand_left_keypoints_3d": [], "hand_right_keypoints_3d": [] } ```

> 你好，请问你用的是官网的openpose识别的吗，我编译安装完成之后识别的人体都没有关键点，查了很多原因都没有解决，不知道是怎么回事，另外我用了一个非官网的代码pytorch-openpose，识别出来的结果只有18个人体关键点，推理之后生成的3D人体不准确，是不是在生成3D人体的时候还需要脸部，手部的关键点呢？ 是官网的openpose，有几种模型要选择137（好像？）关键点的，上面我代码里的datum就是openpose的返回

> 那三种模型我都试了，都没有出结果，您可以把你的openpose工程发我一份吗，我想看看是我代码的问题，还是没编译好的问题，[[email protected]](mailto:[email protected])，这是我的邮箱，如果方便的话，还请麻烦你发我一份，感谢！！ https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/master/doc/03_python_api.md#testing-and-developing

> There is a big problem, your prompt is too short. Please carefully read our readme. We need to use long prompts as input, which requires you to use large...

When deploying with DP+EP, if the EP scale is less than 32 and "moe_dense_tp_size=1" is enabled, you may encounter the error as follow: `FusedAddRMSNorm: failed with error code invalid configuration...

``` SIZE_FACTOR=28 MAX_PIXELS=100352 NFRAMES=24 \ swift sft \ --model_type qwen2-vl-7b-instruct \ --model_id_or_path Qwen2-VL-7B-Instruct \ --sft_type full \ --freeze_vit false \ --max_length 2048 \ --lazy_tokenize true \ --gradient_accumulation_step 2 \ --batch_size...

> ``` > SIZE_FACTOR=28 MAX_PIXELS=100352 NFRAMES=24 \ > swift sft \ > --model_type qwen2-vl-7b-instruct \ > --model_id_or_path Qwen2-VL-7B-Instruct \ > --sft_type full \ > --freeze_vit false \ > --max_length 2048...

> > > ``` > > > SIZE_FACTOR=28 MAX_PIXELS=100352 NFRAMES=24 \ > > > swift sft \ > > > --model_type qwen2-vl-7b-instruct \ > > > --model_id_or_path Qwen2-VL-7B-Instruct \ >...

> pip list | grep swift看看 ``` root@dlcprsc93a7i8zci-master-0:~# pip show ms-swift Name: ms-swift Version: 2.5.0.dev0 Summary: Swift: Scalable lightWeight Infrastructure for Fine-Tuning Home-page: https://github.com/modelscope/swift Author: DAMO ModelScope teams Author-email: [email protected]...