The following steps need to be completed to use DragAnything:
Preparation for installation
- Cloning Project Warehouse:
git clone https://github.com/showlab/DragAnything.git - Creation of specialized environments:
conda create -n DragAnything python=3.8conda activate DragAnything - Install dependencies:
pip install -r requirements.txt - Prepare the datasets (VIPSeg and Youtube-VOS) and place them in the . /data directory
Basic usage
- Interactive Demo: Run
python gradio_run.pyLaunch local demo - standard process::
python demo.py --input_image <图像路径> --trajectory <轨迹文件路径> - Customized Controls::
1. Handling of customized track annotations using the Co-Track tool
2. Placement of processed documents in the designated directory
3. Run the generation script
The project provides complete documentation, we recommend that first-time users try the Gradio interactive interface to familiarize themselves with the basic operations, and then gradually try more advanced customization features.
This answer comes from the articleDragAnything: Controlled motion silicon-based video generation for solid objects in imagesThe































