Comfyui-Yolov8-JSON

This node is mainly based on the Yolov8 model for object detection, and it outputs related images, masks, and JSON information.

README

NODES

|name |description |

|—————————–|—————————————————————-|

|Load Yolov8 Model |Default, select the Yolov8 model, supports automatic download |

|Load Yolov8 Model From Path |Load the model from the specified path |

|Apply Yolov8 Model |Apply Yolov8 detection model |

|Apply Yolov8 Model Seg |Apply Yolov8 segmentation model |

|Save Labelme Json |Save the original image and the corresponding Labelme JSON format file to the output directory, with support for custom directories |

|Draw Labelme Json |Based on the Labelme JSON, draw recognition boxes on the image and output masks, with support for specifying the labels to display, changing colors, and renaming labels |

INSTALL

If you need to display JSON formatted data or save it, you need to install the Comfyui-Toolbox node in advance.

This node calls the official Python package, and you also need to install the following dependencies:

pip install -r requirements.txt

MODEL

This node supports automatic model downloads.

You can manually download the models to the specified folder models/yolov8 from Yolov8 as shown below:

ComfyUI
    models
        yolov8
            yolov8l.pt
            yolov8s.pt
            yolov8n.pt
            yolov8m.pt
            yolov8x.pt
            yolov8l-seg.pt
            yolov8s-seg.pt
            yolov8n-seg.pt
            yolov8m-seg.pt
            yolov8x-seg.pt