tensorboy

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It has some errors now: ``` python -m llava.serve.test_message_new --model-name LLaVA-7B-v0 --controller http://localhost:10000 Models: ['LLaVA-7B-v0'] worker_addr: http://localhost:40000 A chat between a curious human and an artificial intelligence assistant. The assistant...

> 对于Tag2Text,可以改成batch批量inference的代码,可以极大的增大inference效率。如果只要tagging的输出,可以在generate函数中只输出tagging就停止。 此外,我们新发布的the Recognize Anything Model (RAM)可以任意自定义识别的类别,可以进一步提升tagging inference效率,此功能会在未来发布。 已经发布了吗还是明天发布

Hi @bleakie 可以更具体一点怎么改的更好吗,这些参数还没开始深究。。。

谢谢分享,不知道有地方可以参考下您的么。

好的谢谢分享,我试下这个参数。 tensorrt的结果我再看一下,谢谢!

The bug comes from the path of the mask: https://github.com/tensorboy/pytorch_Realtime_Multi-Person_Pose_Estimation/blob/master/training/datasets/coco_data/COCO_data_pipeline.py#L226-L231 And I will fix it now!

The bug is come from the path of the mask: https://github.com/tensorboy/pytorch_Realtime_Multi-Person_Pose_Estimation/blob/master/training/datasets/coco_data/COCO_data_pipeline.py#L226-L231 I will fix it now!

Maybe decrease the batch size will help. :)