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LICENSE

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+IDEA License 1.0
+
+This License Agreement (as may be amended in accordance with this License Agreement, “License”), between you, or your employer or other entity (if you are entering into this agreement on behalf of your employer or other entity) (“Licensee” or “you”) and the International Digital Economy Academy (“IDEA” or “we”) applies to your use of any computer program, algorithm, source code, object code, or software that is made available by IDEA under this License (“Software”) and any specifications, manuals, documentation, and other written information provided by IDEA related to the Software (“Documentation”). 
+
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+
+1. LICENSE GRANT
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+8. APPLICABLE LAW; DISPUTE RESOLUTION
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+This License will be governed and construed under the laws of the People’s Republic of China without regard to conflicts of law provisions. The parties expressly agree that the United Nations Convention on Contracts for the International Sale of Goods will not apply. Any suit or proceeding arising out of or relating to this License will be brought in the courts, as applicable, in Shenzhen, Guangdong, and each party irrevocably submits to the jurisdiction and venue of such courts.

README.md

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+---
+license: apache-2.0
+language:
+- en
+tags:
+- vision
+- object-detection
+- multimodal
+- ocr
+- keypoint-detection
+- visual-prompting
+pipeline_tag: image-text-to-text
+---
+
+<div align=center>
+  <img src="assets/logo.png" width=600 >
+</div>
+
+<h1 align="center">Detect Anything via Next Point Prediction</h1>
+
+<div align=center>
+
+<p align="center">
+  <a href="https://rex-omni.github.io/">
+    <img
+      src="https://img.shields.io/badge/RexOmni-Website-BADFDB?style=flat-square&logo=deno&logoColor=violet&color=BADFDB"
+      alt="RexThinker Website"
+    />
+  </a>
+  <a href="https://arxiv.org/abs/2506.04034">
+    <img
+      src="https://img.shields.io/badge/RexOmni-Paper-Red%25red?logo=arxiv&logoColor=red&color=yellow"
+      alt="RexThinker Paper on arXiv"
+    />
+  </a>
+  <a href="https://huggingface.co/IDEA-Research/Rex-Omni">
+    <img 
+        src="https://img.shields.io/badge/RexOmni-Weight-orange?logo=huggingface&logoColor=yellow" 
+        alt="RexThinker weight on Hugging Face"
+    />
+  </a>
+  <a href="https://huggingface.co/spaces/Mountchicken/Rex-Omni">
+    <img
+      src="https://img.shields.io/badge/RexOmni-Demo-orange?logo=huggingface&logoColor=yellow" 
+      alt="RexThinker Demo on Hugging Face"
+    />
+  </a>
+  
+</p>
+
+</div>
+
+> Rex-Omni is a 3B-parameter Multimodal Large Language Model (MLLM) that redefines object detection and a wide range of other visual perception tasks as a simple next-token prediction problem.
+
+<p align="center"><img src="assets/teaser.png" width="95%"></p>
+
+
+
+## 🚀 Quick Start
+
+### Installation
+
+```bash
+conda create -n rexomni -m python=3.10
+pip install torch==2.6.0 torchvision==0.21.0 --index-url https://download.pytorch.org/whl/cu124
+git clone https://github.com/IDEA-Research/Rex-Omni.git
+cd Rex-Omni
+pip install -v -e .
+```
+
+## 2. Quick Start: Using Rex-Omni for Detection
+
+```python
+from PIL import Image
+from rex_omni import RexOmniWrapper, RexOmniVisualize
+
+# Initialize model
+model = RexOmniWrapper(
+    model_path="IDEA-Research/Rex-Omni",
+    backend="transformers"  # or "vllm"
+)
+
+# Load image
+image = Image.open("your_image.jpg")
+
+# Object Detection
+results = model.inference(
+    images=image,
+    task="detection",
+    categories=["person", "car", "dog"]
+)
+
+result = results[0]
+
+# 4) Visualize
+vis = RexOmniVisualize(
+    image=image,
+    predictions=result["extracted_predictions"],
+    font_size=20,
+    draw_width=5,
+    show_labels=True,
+)
+vis.save("visualize.jpg")
+
+```
+
+## 3. Tutorials
+
+We provide a series of tutorials to help you get started with Rex-Omni.
+- [Detection Example](https://github.com/IDEA-Research/Rex-Omni/blob/master/tutorials/detection_example/_full_notebook.ipynb)
+- [Pointing Example](https://github.com/IDEA-Research/Rex-Omni/blob/master/tutorials/pointing_example/_full_tutorial.ipynb)
+- [OCR Example](https://github.com/IDEA-Research/Rex-Omni/blob/master/tutorials/ocr_example/_full_tutorial.ipynb)
+- [Keypointing Example](https://github.com/IDEA-Research/Rex-Omni/blob/master/tutorials/keypointing_example/_full_tutorial.ipynb)
+- [Visual Prompting Example](https://github.com/IDEA-Research/Rex-Omni/blob/master/tutorials/visual_prompting_example/_full_tutorial.ipynb)
+- [Batch Inference Example](https://github.com/IDEA-Research/Rex-Omni/blob/master/tutorials/other_example/batch_inference.py)
+
+
+## 📄 License
+
+Rex-Omni is licensed under the [IDEA License 1.0](LICENSE), Copyright (c) IDEA. All Rights Reserved.
+
+## 🔗 Links
+
+- 🏠 [Homepage](https://rex-omni.github.io/)
+- 🎮 [Demo](https://huggingface.co/spaces/Mountchicken/Rex-Omni)
+
+## 📧 Contact
+
+For questions and feedback, please contact us at:
+- Email: jiangqing@idea.edu.cn
+- GitHub Issues: [IDEA-Research/Rex-Omni](https://github.com/IDEA-Research/Rex-Omni/issues)
+
+