RTMDet is an efficient real-time object detector that exceeds the YOLO series, featuring a model architecture with large-kernel depth-wise convolutions and soft labels in dynamic label assignment. It is easily extensible for instance segmentation and rotated object detection tasks.

Original paper: RTMDet: An Empirical Study of Designing Real-Time Object Detectors

RTMDet-Nano

This model uses the RTMDet-Nano variant trained specifically for person detection. It is designed to work with RTMPose in a two-stage pipeline for real-time human pose estimation: RTMDet first detects persons in the image, then RTMPose estimates the keypoints for each detected person.

Model Configuration:

• Reference implementation: Official MMDetection RTMDet models
• Original Weight: rtmdet_nano_320-8xb32_coco-person
• Resolution: 3x320x320
• Support Cooper version:
  • Cooper SDK: [2.5.3.1]
  • Cooper Foundry: [2.2]

Model	Device	Model Link
RTMDet-nano	N1-655	Model_Link
RTMDet-nano	CV7	Model_Link
RTMDet-nano	CV72	Model_Link
RTMDet-nano	CV75	Model_Link

Release v1.2.1

• main 不再包含 .gitattributes、.gitignore 以及 n1_*.bin（n1-655_*.bin 仍保留于仓库）。