Setting PYTHONPATH
as the path to YOLO-World
and run:
PYTHONPATH=/xxxx/YOLO-World python demo/yyyy_demo.py
# or directly
PYTHONPATH=./ python demo/yyyy_demo.py
We provide the Gradio demo for local devices:
pip install gradio==4.16.0
python demo/demo.py path/to/config path/to/weights
Additionaly, you can use a Dockerfile to build an image with gradio. As a prerequisite, make sure you have respective drivers installed alongside nvidia-container-runtime. Replace MODEL_NAME and WEIGHT_NAME with the respective values or ommit this and use default values from the Dockerfile
docker build --build-arg="MODEL=MODEL_NAME" --build-arg="WEIGHT=WEIGHT_NAME" -t yolo_demo .
docker run --runtime nvidia -p 8080:8080
We provide a simple image demo for inference on images with visualization outputs.
python demo/image_demo.py path/to/config path/to/weights image/path/directory 'person,dog,cat' --topk 100 --threshold 0.005 --output-dir demo_outputs
Notes:
- The
image
can be a directory or a single image. - The
texts
can be a string of categories (noun phrases) which is separated by a comma. We also supporttxt
file in which each line contains a category ( noun phrases). - The
topk
andthreshold
control the number of predictions and the confidence threshold.
The video_demo
has similar hyper-parameters with image_demo
.
python demo/video_demo.py path/to/config path/to/weights video_path 'person,dog' --out out_video_path
Failed to custom import!
File "simple_demo.py", line 37, in <module>
cfg = Config.fromfile(config_file)
File "/data/miniconda3/envs/det/lib/python3.8/site-packages/mmengine/config/config.py", line 183, in fromfile
raise ImportError('Failed to custom import!') from e
ImportError: Failed to custom import!
Solution:
PYTHONPATH=/xxxx/YOLO-World python demo/simple_demo.py