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The Official PyTorch Implementation of DiscoBox.

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How to use my own data set for training? I didn't see relevant information in the description.

I only have a 32g V100. Can I run this project? I am an interdisciplinary graduate student, and I want to use it to send papers

I did bash tools/dist_train.sh \ configs/discobox/discobox_solov2_r50_fpn_3x.py 2 I got message as below 2022-09-19 00:46:25,659 - mmdet - INFO - Epoch [1][50/29317] lr: 3.425e-04, eta: 35 days, 8:29:59, time: 2.894, data_time:...

I work in PyCharm on Windows-10-x64, CUDA=11.1, RTX-3060 ``` #pip install torch==1.9.1+cu111 torchvision==0.10.1+cu111 torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.html #pip install mmcv-full==1.4.0 -f https://download.openmmlab.com/mmcv/dist/cu111/torch1.9/index.html #git clone https://github.com/NVlabs/DiscoBox.git #cd DiscoBox #pip install -r requirements/build.txt...

Thanks for the nice work and it runs smoothly with Docker. I have some questions with paper and hope you can give me some help. 1. You mention both YOLACT++...

one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [2, 128, 80, 88]], which is output 0 of ReluBackward0, is at version 3;...