Kai Chen, Jungong Han, Guiguang Ding, Hui Chen, Ao Wang, Lihao Liu, Zijia Lin
We lifted 3 functions out of this paper's own repositories and ran 3 of them in a sandbox. "Ran" means the function executed on a synthesized input and returned a value. It is not a reproduction of the paper's results.
| Repository | Role | Ran |
|---|---|---|
| ibaiGorordo/ONNX-YOLOv10-Object-Detection | pwc_unofficial | 3 of 3 |
| Function | Status | Where it lives |
|---|---|---|
| draw_box | Ran | ibaiGorordo/ONNX-YOLOv10-Object-Detection/yolov10/utils.py code served (permissive licence) · get_code("b8d4eb0708db9812") |
| draw_detections | Ran | ibaiGorordo/ONNX-YOLOv10-Object-Detection/yolov10/utils.py code served (permissive licence) · get_code("c9dab4a605d6462a") |
| draw_text | Ran | ibaiGorordo/ONNX-YOLOv10-Object-Detection/yolov10/utils.py code served (permissive licence) · get_code("8bd590382607dfcb") |
Some links come from the archived Papers with Code dataset (CC BY-SA 4.0): attribution and licence.
example, our YOLOv10-S is 1.8× faster than RT-DETR-R18 under the similar AP on COCO, meanwhile enjoying 2.8× smaller number of parameters and FLOPs. Compared with YOLOv9-C, YOLOv10-B has 46% less latency and 25% fewer parameters for the same performance. Code and models are available at https://github.com/THU-MIG/yolov10.
The same record, over MCP at https://syntology.ai/mcp:
get_harvested_code_for_paper("2405.14458")
get_code_for_paper("2405.14458")
have("2405.14458")
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