Comments (6)
The training log is saved while training in the tensorboard format.
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Ah, I understand. I had wanted to check some training details (if a learning rate scheduler is used, convergence rate, etc). Also, I was wondering why you decided to use EMA; is there a significant difference?
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When EMA is applied, lr stays the same in the shole training process. In the early stage of our development, EMA is able to promote NDS about 1%, when BEVDepth is stable, no ablation study is conducted.
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@yinchimaoliang I also wonder if a learning rate scheduler is used.
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From what I can tell during training, the learning rate is constant without warmup either.
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Thank you so much for your reply!
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Related Issues (20)
- Questions for BEV features and voxel pooling
- Welcome update to OpenMMLab 2.0
- Depth aggregation autocast HOT 2
- BEVDepth perform very bad when training with batch size 1! HOT 2
- Input type different & Memory usage during training
- Performance of MatrixVT HOT 3
- inference with depth gt HOT 1
- can't reproduce [bev_depth_lss_r50_256x704_128x128_24e_2key_ema]
- Deployment of BEVDepth on Nvidia board with onnx conversion
- error detected in the compilation of "/tmp/tmpxft_00005518_00000000-6_voxel_pooling_train_forward_cuda.cpp1.ii HOT 2
- mmcv mmdet mmseg 版本问题 HOT 3
- 推理速度
- what the accuracy of your depth map fusion model?
- Memory Peak
- How to deal with camera pixels without lidar point? HOT 1
- gen_info error
- Why Depthnet need take bda into account?
- sensor2sensor_mats doesn't seem to be used. HOT 1
- depth aggregation module in trian not in infer
- How to visualize a bev map?
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