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License: Apache License 2.0
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how about the pretrained model?
Thanks for your great job!
For this project based on mmdetection, could you provide the pre-trained model about the shufflenetv2 1.5x?
All mAP are 0 at train stage.
你好,
在确认数据路径正确的情况下, 在训练thundernet_voc_shufflenetv2_1.5的过程中, 无论是否使用预训练模型,evaluate的结果都是0.
单独使用test.py测试weight中的pre-trained models的mAP是0.749.
请问,可能哪里出现问题了?
Welcome update to OpenMMLab 2.0
Welcome update to OpenMMLab 2.0
I am Vansin, the technical operator of OpenMMLab. In September of last year, we announced the release of OpenMMLab 2.0 at the World Artificial Intelligence Conference in Shanghai. We invite you to upgrade your algorithm library to OpenMMLab 2.0 using MMEngine, which can be used for both research and commercial purposes. If you have any questions, please feel free to join us on the OpenMMLab Discord at https://discord.gg/amFNsyUBvm or add me on WeChat (van-sin) and I will invite you to the OpenMMLab WeChat group.
Here are the OpenMMLab 2.0 repos branches:
| OpenMMLab 1.0 branch | OpenMMLab 2.0 branch | |
|---|---|---|
| MMEngine | 0.x | |
| MMCV | 1.x | 2.x |
| MMDetection | 0.x 、1.x、2.x | 3.x |
| MMAction2 | 0.x | 1.x |
| MMClassification | 0.x | 1.x |
| MMSegmentation | 0.x | 1.x |
| MMDetection3D | 0.x | 1.x |
| MMEditing | 0.x | 1.x |
| MMPose | 0.x | 1.x |
| MMDeploy | 0.x | 1.x |
| MMTracking | 0.x | 1.x |
| MMOCR | 0.x | 1.x |
| MMRazor | 0.x | 1.x |
| MMSelfSup | 0.x | 1.x |
| MMRotate | 1.x | 1.x |
| MMYOLO | 0.x |
Attention: please create a new virtual environment for OpenMMLab 2.0.
mAP was low
After training, the mAP was 0.42, which did not achieve the expected result.
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