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I think your paper's mind is pretty good and wanted to have a train myself.
I downloaded litepose source code and use "Normal Training" method to trained a mobileNet based Search-S model on Crowdpose…
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hello,
I tested your COCO and CROWDPOSE path.tar files using litepose/valid.py
but in my experience result, when using COCO trained LightPose-Auto-S, inference speed was 2 FPS.
is there some w…
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get the LitePose-Auto-L model coco dataset (map 62.5) is through Normal Training or Super-net Training?
To train network with search-L architecture with coco dataset, I use the following script:
p…
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Hello, I have tested the coco test image, but what should I do if I want to test my own image and want to get its key points to see the effect?
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Hello, I am trying to clone the github repo and run inference using your model. It seems one file is missing from your repo which causes an error? Please see the message.
```
Traceback (most recen…
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Hey there, could you provide some instruction on setting up and running inference using a webcam on a Windows PC?
I'm getting stuck at the 'tvm' part.
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root@00048971l16:/tvm/tvm/build# make -j4
[ 0%] Creating directories for 'project_libbacktrace'
[ 1%] Building CXX object CMakeFiles/tvm_libinfo_objs.dir/src/support/libinfo.cc.o
[ 2%] No downlo…
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你好，最近我用过Litepose COCO还有见几个问题。所以有时间的话请你们帮我。
我看你们的LitePose-Auto-M结果， 就是144 Latency（ms）
然后我有LitePose-Auto-S，还有我得了300 Latency（ms）。 太慢了。你们知不知道为什么怎么慢。。。
我觉得如果我用'TVM变换'，可能快一点。
请你们帮我怎么可以解决这个问题。
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Hi.
I tried to run nano_demo/start.py in the order written on this link(https://github.com/mit-han-lab/litepose/tree/main/nano_demo).
But, I got this error:
Traceback (most recent call last):
…
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can u release the LitePose-Auto-XS coco model (mAP 40.6), many thanks