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44 lines
972 B
Markdown
44 lines
972 B
Markdown
---
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license: mit
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tags:
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- object-detection
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- computer-vision
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- yolov10
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datasets:
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- detection-datasets/coco
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sdk: gradio
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sdk_version: 5.0.0b1
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---
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### Model Description
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[YOLOv10: Real-Time End-to-End Object Detection](https://arxiv.org/abs/2405.14458v1)
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- arXiv: https://arxiv.org/abs/2405.14458v1
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- github: https://github.com/THU-MIG/yolov10
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### Installation
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```
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pip install supervision git+https://github.com/THU-MIG/yolov10.git
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```
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### Yolov10 Inference
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```python
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from ultralytics import YOLOv10
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import supervision as sv
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import cv2
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IMAGE_PATH = 'dog.jpeg'
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model = YOLOv10.from_pretrained('jameslahm/yolov10{n/s/m/b/l/x}')
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model.predict(IMAGE_PATH, show=True)
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```
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### BibTeX Entry and Citation Info
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```
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@article{wang2024yolov10,
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title={YOLOv10: Real-Time End-to-End Object Detection},
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author={Wang, Ao and Chen, Hui and Liu, Lihao and Chen, Kai and Lin, Zijia and Han, Jungong and Ding, Guiguang},
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journal={arXiv preprint arXiv:2405.14458},
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year={2024}
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}
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``` |