Comments (4)
gineshidalgo99
commented on May 12, 2024
Hi, we are working in a version that uses less memory (it should fit in 2GB GPUs). It will be released in around 3-5 weeks. However, if you are using a bigger GPU and it does not fit, you should reduce the number of scales and net resolution to the default values, as well as enable cuDNN. Thanks!
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ZheC
commented on May 12, 2024
4 Options to reduce memory usage: (1) Using MPI model instead of COCO model (2) Modifying the test.prototxt and reducing the stage number from 6 to 3. (3) Using one scale for testing (4) Using smaller --net_resolution for testing
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madhawav
commented on May 12, 2024
@gineshidalgo99 Is the version for 2GB VGAs available?
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gineshidalgo99
commented on May 12, 2024
I am very sorry for the delay, it will be released within the next 2-3 weeks. Thank you for your patience.
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Related Issues (20)
- caffe pre-installed
- F0406 17:19:19.386066 12837 syncedmem.cpp:56] Check failed: error == cudaSuccess (2 vs. 0) out of memory HOT 3
- It seems like out of memory HOT 4
- Check failed: error == cudaSuccess (30 vs. 0) unknown error HOT 2
- caffe failed to init() HOT 3
- Error while running on a video HOT 3
- Working on 2GB VGA and 8GB RAM HOT 3
- How can I use openpose in another project? HOT 1
- Can I know why 16 * ceil(NET_RESOLUTION_WIDTH * scale /16)? HOT 1
- Check failed: error == cudaSuccess (2 vs. 0) out of memory HOT 17
- CMakeLists.txt for caffe_rtpose examples HOT 3
- smaller models HOT 1
- Some videos are aborted while processing pose machines on them HOT 3
- cudnn v6 not supported HOT 1
- output frame count inconsistent with the input directory HOT 1
- Compile Error HOT 1
- How can I find the information about the joints in the code? HOT 1
- compitable issue on training
- Check failed: error == cudaSuccess (2 vs. 0) out of memory
- memory issue when cudnn is found HOT 1
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