v0.4.2 Fix compatibility
v0.4.2
Fix some compatibility issue of NanoDet v0.4
Fix pytorch-lightning compatibility. (#304 #309 )
Fix pytorch1.9 compatibility. (#308 )
Support not raising an error when evaluate with empty results. (#310)
I'm doing a lot of refactoring. NanoDet v1.x is coming soon.
Download pretrained models
| Model | Backbone | Resolution | COCO mAP | FLOPS | Params | Pre-train weight | ncnn model | ncnn-int8 |
|---|---|---|---|---|---|---|---|---|
| NanoDet-m | ShuffleNetV2 1.0x | 320*320 | 20.6 | 0.72B | 0.95M | Download | Download | Download |
| NanoDet-m-416 | ShuffleNetV2 1.0x | 416*416 | 23.5 | 1.2B | 0.95M | Download | Download | Download |
| NanoDet-m-1.5x | ShuffleNetV2 1.5x | 320*320 | 23.5 | 1.44B | 2.08M | Download | Download | Download |
| NanoDet-m-1.5x-416 | ShuffleNetV2 1.5x | 416*416 | 26.8 | 2.42B | 2.08M | Download | Download | Download |
| NanoDet-t | ShuffleNetV2 1.0x | 320*320 | 21.7 | 0.96B | 1.36M | Download | ||
| NanoDet-g | Custom CSP Net | 416*416 | 22.9 | 4.2B | 3.81M | Download | ||
| NanoDet-EfficientLite | EfficientNet-Lite0 | 320*320 | 24.7 | 1.72B | 3.11M | Download | ||
| NanoDet-EfficientLite | EfficientNet-Lite1 | 416*416 | 30.3 | 4.06B | 4.01M | Download | ||
| NanoDet-EfficientLite | EfficientNet-Lite2 | 512*512 | 32.6 | 7.12B | 4.71M | Download | ||
| NanoDet-RepVGG | RepVGG-A0 | 416*416 | 27.8 | 11.3B | 6.75M | Download |