R1-V Installation and Usage Guide
Installation Steps:
- Cloning Project Warehouse:
git clone https://github.com/Deep-Agent/R1-V.git - Go to the catalog to install the dependencies:
cd R1-V
pip install -r requirements.txt - Configuring Runtime Environment Variables
Basic Usage:
1. Import and load the model in Python:
from r1v import R1VModel
model = R1VModel()
2. Processing of image text data:
result = model.process('image.jpg', '描述文本')
Examples of advanced features:
- Image Classification:classification = model.classify(image)
- Target detection:detections = model.detect_objects(image)
- Text generation:description = model.generate_text(image)
Developers can also customize versions of the model to fit specific application scenarios based on secondary development of the open source code.
This answer comes from the articleR1-V: Low-Cost Reinforcement Learning for Visual Language Model Generalization CapabilitiesThe
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