Describe the Issue Tried to create a new environment with mmcv tutorial but failed with both pip install and build from source. Reproduction pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu102/torch1.8.1/index.html En...
conda create -n mmlab python=3.7 -y conda activate mmlab conda install pytorch==1.6.0 torchvision==0.7.0 cudatoolkit=10.1 -c pytorch -y # install the latest mmcv pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu102/torch1.10.0/index.html # install mmdetection cd mmdet...
opencv_python-4.5.4.60-cp38-cp38-win_amd64.whl pip install mmcv==2.0.0 -f https://download.openmmlab.com/mmcv/dist/cu118/torch2.0/index.html git clone -b v3.1.0 https://github.com/open-mmlab/mmdetection.git cd mmdetection python setup.py develop cd ../ pip install future tensorboard ...
I try to install mmcv-full using below the version of cuda I have installed, some errors occur. But when I install pytorch using below the version of cuda I have installed, it also can work, do you have some idea to slove it? Maybe a suc...
We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! out_boxes = min(num_boxes, after_topk) /home/jetson/mmdeploy/mmdeploy/mmcv/ops/nms.py:181: TracerWarning: ...
After installed everything again and installed mmcv from scratch. I tried both command you asked. The below one I got similar error, ı guess. python -m torch.distributed.launch --nproc_per_node=1 --master_port=29995 tools/train.py configs/baseline/faster_rcnn_r50_caffe_fpn_coco_full_...
We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! dets, labels = TRTBatchedNMSop.apply(boxes, scores, int(scores.shape[-1]), d:\mmdeploy\mmdeploy\mmcv\ops\...
OpenCV: 4.5.1 MMCV: 1.3.0 MMCV Compiler: GCC 7.3 MMCV CUDA Compiler: 11.1 MMDetection: 2.10.0+ You may add addition that may be helpful for locating the problem, such as pip install torch-1.8.1+cu111-cp37-cp37m-linux_x86_64.whl ...