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AiuniAI / Unique3D

Official implementation of Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image
https://wukailu.github.io/Unique3D/
MIT License
1.96k stars 131 forks source link

configure env #27

Open oak-barry opened 2 weeks ago

oak-barry commented 2 weeks ago

remove requirements-detail.txt and merge it into requirements.txt update README.md, configure installation on linux

jtydhr88 commented 1 week ago

hi, if you choose using cuda12.1, and you install onnxruntime_gpu with pip install onnxruntime_gpu==1.17.0 directly, in the runtime, it will throw UserWarning: Specified provider 'TensorrtExecutionProvider' is not in available provider names.Available providers: 'AzureExecutionProvider, CPUExecutionProvider' this is because the default onnxruntime_gpu match to cuda 11.8, not 12.1, according to https://onnxruntime.ai/docs/install/ image and this warning will cause the speed slow down.

for cuda 12.1, as the doc I refered, we need to run it instead: pip install onnxruntime-gpu --extra-index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/

jtydhr88 commented 1 week ago

this is also the reason I do the uninstall then re-install step in https://github.com/AiuniAI/Unique3D/issues/15 and bat I commited

jtydhr88 commented 1 week ago

for the repo owners, their orignal env is cuda 11.8, which is ok to run pip install onnxruntime_gpu directly