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@ -136,6 +136,31 @@ TRAIN:
```
python3 eval.py --yaml configs/config.yaml --weight weights/weight_AP05\:0.248723_280-epoch.pth
```
* COCO2017 evaluation
```
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=30.85s).
Accumulating evaluation results...
DONE (t=4.97s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.140
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.278
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.128
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.018
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.103
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.232
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.157
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.225
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.231
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.032
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.201
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.359
```
# Deploy
## NCNN
* Waiting for update