Comments (7)
转换时请注意:
- 输入和onnx保持一致,具体查看rknn文档
- rknntoolkit版本 >=1.7
- 驱动版本 >= 1.7
- 关闭量化
- opset<=10
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我是在3399pro测试的
from alphaposeonnx.
我是在3399pro测试的
好的,谢谢!
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opset<=10 在哪设置
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pytorch
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我自己按照你的代码复现出来结果了,结果是正确的,可惜的是由于没有量化,每找到一个人的骨骼,就需要1秒中,我使用的是1808的加速卡作的。而且代码中没有人形的detector,估计加上找人,时间会更长。没有量化,实际上rk3399,没有作任何加速完全用cpu跑
from alphaposeonnx.
我自己按照你的代码复现出来结果了,结果是正确的,可惜的是由于没有量化,每找到一个人的骨骼,就需要1秒中,我使用的是1808的加速卡作的。而且代码中没有人形的detector,估计加上找人,时间会更长。没有量化,实际上rk3399,没有作任何加速完全用cpu跑
from alphaposeonnx.
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