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Describe the bug mim raise Windows Access Denied error in conda
Reproduction
pip install -U openmim mim download mmdet --config rtmdet_tiny_8xb32-300e_coco --dest .
Environment
sys.platform: win32 Python: 3.9.0 (default, Nov 15 2020, 08:30:55) [MSC v.1916 64 bit (AMD64)] CUDA available: True numpy_random_seed: 2147483648 GPU 0: Quadro RTX 3000 CUDA_HOME: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.0 NVCC: Cuda compilation tools, release 11.0, V11.0.194 MSVC: Compilateur d'optimisation Microsoft (R) C/C++ version 19.36.32532 pour x64 GCC: n/a PyTorch: 2.1.2 PyTorch compiling details: PyTorch built with:
TorchVision: 0.16.2 OpenCV: 4.9.0 MMEngine: 0.10.2 MMDetection: 3.3.0+44ebd17
The text was updated successfully, but these errors were encountered:
Could you provide the output of the given command?
Sorry, something went wrong.
There is no output except the Access denied message printed in the console. Just using the command mim without any parameter raise the same error.
Can mim works without admin privilege?
Is there another way to download configs and checkpoints without using mim?
@DemersM we're facing the same issue. Did you manage to resolve it?
No branches or pull requests
Describe the bug
mim raise Windows Access Denied error in conda
Reproduction
Install openmim in a conda environment:
Environment
sys.platform: win32
Python: 3.9.0 (default, Nov 15 2020, 08:30:55) [MSC v.1916 64 bit (AMD64)]
CUDA available: True
numpy_random_seed: 2147483648
GPU 0: Quadro RTX 3000
CUDA_HOME: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.0
NVCC: Cuda compilation tools, release 11.0, V11.0.194
MSVC: Compilateur d'optimisation Microsoft (R) C/C++ version 19.36.32532 pour x64
GCC: n/a
PyTorch: 2.1.2
PyTorch compiling details: PyTorch built with:
TorchVision: 0.16.2
OpenCV: 4.9.0
MMEngine: 0.10.2
MMDetection: 3.3.0+44ebd17
The text was updated successfully, but these errors were encountered: