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请问pose的detection和landmark模型从tflite转换过来是参考哪个部分呢 #1
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您好 你是指哪部分POSE,网上有脚本可以转的 我最近没在弄这个方法,因为想对接UE里面 Mediapipe可能因为精度和需要从新计算BS先搁置了 |
身体的部分(blazepose和blazepose_landmark),我仔细看了一下代码你项目里的模型是半身的,想问问大佬有全身的pytorch版本模型么 |
就是你项目里的blazepose.pth模型,是只能检测半身的,不是全身的。(开启是指--detect_pose?如果是这个那我肯定开启了,还是说有其他参数控制检测半身还是全身?)。那我去看看yolov5的pose检测,感谢大佬。 |
可以替换成我仓库里的YOLO-POSE精度比这个高 |
mediapipe3d 版本升级了 |
RT
跑了一下大佬的代码,发现pose的效果不是很好,想自己尝试转换一下官方的tflite模型到pytorch再试试,想问问大佬是怎么转的
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