Comments (5)
heilaw
commented on July 19, 2024
I only tested it with CUDA10 so I am not sure if it would run on CUDA9. I would recommend upgrading your driver if possible.
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yinyuhangi
commented on July 19, 2024
Hello. Did you successfully reproduce it？I also used cuda 9.0 ，but it made a mistake.
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brooks0519
commented on July 19, 2024
@yinyuhangi @momo1986 I have run the project on CUDA9 correctly with the following steps:
- conda create --name CornerNet_Lite --file conda_packagelist.txt --channel pytorch
- source activate CornerNet_Lite
- conda uninstall pytorch cuda100
- conda install pytorch=1.0.0 torchvision -c pytorch
perfom the 4th step will install the following modules.
pytorch pytorch/linux-64::pytorch-1.0.0-py3.7_cuda9.0.176_cudnn7.4.1_1
torchvision pytorch/noarch::torchvision-0.2.2-py_3
and you can run python demo.py to check !
hope to help you!
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yinyuhangi
commented on July 19, 2024
@chiminghui Thank you very much. I have run the project on cuda 10.1 correctly.
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SeeeeShiwei
commented on July 19, 2024
Thanks a lot!!!
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Related Issues (20)
- Using a data set with only one category, Loss dropped to 0.003, but when testing, ap = -1 HOT 1
- AttributeError: 'builtin_function_or_method' object has no attribute 'view' HOT 1
- ModuleNotFoundError: No module named 'core' HOT 3
- Has anyone use another backbone networks to test the performance?
- About "add downsampling lyaer before the hourglass module and remove one in hourglass modue" HOT 1
- train error
- When I testing my own data, occur No module named 'test.xxx'
- The network architecture of CornerNet-Saccade
- Can not create the envs on the first step， list many config package when created from file conda_packagelist.txt Please help me!! HOT 1
- Duplicated boxes during soft_nms HOT 1
- some training issue HOT 1
- some questions about the structure of cornerNet-saccade HOT 1
- when run the demo.py, the program is stuck
- 0%| | 0/90000 [00:00<?, ?it/s]段错误(吐核)
- ImportError undefined symbol: _ZNSt19basic_ostringstreamIcSt11char_traitsIcESaIcEEC1Ev HOT 1
- When I train the model on my own dataset, I met IndexError in cornernet_saccade.py HOT 1
- error while tarining on my new dataset which has same COCO format HOT 1
- A small running error
- About the software requirements HOT 1
- [W Resize.cpp:19] Warning: An output with one or more elements was resized since it had shape [16263], which does not match the required output shape [14926].This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function resize_output) HOT 1
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