该节点主要基于Yolov模型进行对象检测，输出相关图像、掩码和JSON信息。_This node is mainly b

# 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 - [English](README.md) - [简体中文](readme/README.zh_CN.md) # 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](https://github.com/zcfrank1st/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](https://github.com/ultralytics/ultralytics) 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 ```