Merge 27842e0eee970c0ce235739bb5b6d6fdb5edf223 into 453c6e38a51e9d1d5a2aa5fb7f1014a711913397

README.md

@@ -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>

requirements.txt

@@ -6,10 +6,9 @@ pycocotools==2.0.7
 PyYAML==6.0.1
 scipy==1.13.0
 onnxslim==0.1.31
-onnxruntime-gpu==1.18.0
 gradio==4.31.5
 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