【Hackathon 8th No.38】Add RT-DETRv3 for PaddleDetection

[GreatV]

This pull request includes significant updates to the RTDETRV3 model configuration and implementation. The changes involve adding new configuration files, updating existing ones, and introducing new classes and methods to support RTDETRV3 architecture and its components.

• rtdetrv3_r18vd_6x_coco

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.480
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.656
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.519
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.307
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.515
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.639
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.371
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.625
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.696
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.501
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.741
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.862

• rtdetrv3_r34vd_6x_coco

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.499
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.677
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.539
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.317
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.540
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.661
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.379
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.639
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.708
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.528
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.751
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.875

• redetrv3_r50vd_6x_coco

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.528
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.711
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.572
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.354
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.574
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.698
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.388
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.655
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.722
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.549
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.768
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.881

[luotao1]

请先提交 RFC 设计文档

[Sunting78]

辛苦添加r101的模型

[Sunting78]

方便提供训练好的模型吗？便于精度验证

[flytocc]

@Sunting78 @GreatV 请问这个复现完成了吗？我对这个赛题也有点兴趣

[GreatV]

@flytocc 还没，你感兴趣可以试试。