Comments (4)
Hi, we used the 0.17.1 version scikit-learn for the model. Please check the details in the README.md file of the master branch. You can uninstall scikit-learn using 'pip uninstall scikit-learn' and install this version via pip install -v scikit-learn==0.17.1
.
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Thanks for your help, it can work.
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Hi, we used the 0.17.1 version scikit-learn for the model. Please check the details in the README.md file of the master branch. You can uninstall scikit-learn using 'pip uninstall scikit-learn' and install this version via
pip install -v scikit-learn==0.17.1
.
Hello, i have found another problem. When i run the test code, it cannot use the GPU, is there some parameters to set? Thanks.
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The GPU code is only used for cost-volume-optimization, if you choose the MC-CNN method. As for the random forest training and testing, no GPUs are involved. Please see the README.md, I think I already add instruction about that.
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Related Issues (12)
- No module named librectification HOT 1
- #include "opencv2/xfeatures2d.hpp" NOT FOUND HOT 1
- post part does NOT work due to GCC GNU 7.0 HOT 1
- Scikit-learn(0.22.1) unable to unpickle a model saved from scikit-learn pre-0.24 #4
- About the dataset HOT 2
- how to compile? HOT 4
- Error about "To compile localexp for Local Expansion Moves" HOT 5
- How to test it in a no GPU environment? HOT 9
- question HOT 8
- cuda problem? HOT 2
- build Command fails as no solution file is found HOT 1
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