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Author SHA1 Message Date
wangwlj
966c1a3278
Merge dd56938644178672bff40bfec9f886d464eff661 into 453c6e38a51e9d1d5a2aa5fb7f1014a711913397 2025-03-26 06:50:32 +00:00
Wang Ao
453c6e38a5
Update README.md 2025-03-14 10:53:57 +08:00
wangwlj
dd56938644
add seaborn in requirements.txt (#254) 2024-06-28 16:44:23 +08:00
2 changed files with 3 additions and 2 deletions
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README.md
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@ -10,7 +10,7 @@ Please check out our new release on [**YOLOE**](https://github.com/THU-MIG/yoloe
Comparison of performance, training cost, and inference efficiency between YOLOE (Ours) and YOLO-Worldv2 in terms of open text prompts.
</p>
**YOLOE(ye)** is a highly **efficient**, **unified**, and **open** object detection and segmentation model for real-time seeing anything, like human eye, under different prompt mechanisms, like *texts*, *visual inputs*, and *prompt-free paradigm*.
**YOLOE(ye)** is a highly **efficient**, **unified**, and **open** object detection and segmentation model for real-time seeing anything, like human eye, under different prompt mechanisms, like *texts*, *visual inputs*, and *prompt-free paradigm*, with **zero inference and transferring overhead** compared with closed-set YOLOs.
<p align="center">
<img src="https://github.com/THU-MIG/yoloe/blob/main/figures/visualization.svg" width=96%> <br>

3
requirements.txt
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@ -12,4 +12,5 @@ opencv-python==4.9.0.80
psutil==5.9.8
py-cpuinfo==9.0.0
huggingface-hub==0.23.2
safetensors==0.4.3
safetensors==0.4.3
seaborn>=0.11.0