some problem with the result

[John-chen521]

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.180 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.578 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.034 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.000 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.134 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.212 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.188 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.299 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.375 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.000 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.348 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.395 Training time 5:48:01 Is the recall rate and accuracy obtained after training the final result?

[FengLi-ust]

No, the result is wrong. Are you using the right config?

[Draudnaut]

I have the same problem when I used the pre-trained model given by the project.

After all, this problem is solved by using my own training model.

if you encounter this problem with the right launch parameter, you could try to start your own training and extract the best checkpoint saved by the program.

Best regards.