Comments (2)
wymanCV
commented on June 23, 2024
Hi, thanks. I think you have installed this project correctly since you can train the model. I just tried searching about it and found this one, which seems to be related to CPU.
I am not sure weather you can solve this by setting WITH_CLUSTER_UPDATE (in the YAML file) False as we implement the spectral clustering algorithm with KNN on CPU. If it can work, you can reset it True and tune the n_job in the "update_seed" function of graph_matching_head. (n_job=-1 will use all CPU cores in parallel)
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geekyutao
commented on June 23, 2024
Thank you for the tips! I turned off WITH_CLUSTER_UPDATE and the issue has been solved. This was likely caused by insufficient CPU cores.
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Related Issues (20)
- Compare with model EPM？ HOT 3
- Unknown CUDA arch (8.6) or GPU not supported？
- Random seeds are used for training HOT 16
- Some Random Thoughts HOT 2
- Question about pseudo label and category mismatch. HOT 2
- 属性错误 HOT 2
- Sim10k's ImageSets HOT 2
- Visualization HOT 5
- source-only 训练，低mAP HOT 1
- RuntimeError: Not compiled with GPU support HOT 5
- How to tune hyperparameters for custom datasets? HOT 1
- Missing annotation files for Pascal Voc based settings HOT 3
- Question about VOC2Watercolor & Comic HOT 4
- yaml文件问题 HOT 3
- About iterative_test, I have test the traning procedure with iteration%100=0 and after 60000 start iteration%100=0 validation. Strange tihing that without iterative val the loss is different, whereas if with iterative val the loss is same. HOT 4
- T-SNE可视化 HOT 1
- source only
- 准确率和召回率的计算有接口吗 HOT 1
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