Automatic Chinese fonts plotting

[glenn-jocher]

PR enables automatic Chinese character plotting with YOLOv5 now. No action is required from users to plot Chinese characters now.

detect: weights=yolov5s.pt, source=data/images, imgsz=[640, 640], conf_thres=0.25, iou_thres=0.45, max_det=1000, device=, view_img=False, save_txt=False, save_conf=False, save_crop=False, nosave=False, classes=None, agnostic_nms=False, augment=False, visualize=False, update=False, project=runs/detect, name=exp, exist_ok=False, line_thickness=3, hide_labels=False, hide_conf=False, half=False
YOLOv5 🚀 v5.0-467-g7aaa5b5 torch 1.9.1 CPU

Fusing layers... 
Model Summary: 224 layers, 7266973 parameters, 0 gradients
image 1/2 /Users/glennjocher/PycharmProjects/yolov5/data/images/bus.jpg: 640x480 4 欧洲和西班牙s, 1 bus, 1 fire hydrant, Done. (0.188s)
image 2/2 /Users/glennjocher/PycharmProjects/yolov5/data/images/zidane.jpg: 384x640 2 欧洲和西班牙s, 2 ties, Done. (0.148s)
Speed: 1.1ms pre-process, 168.1ms inference, 1.2ms NMS per image at shape (1, 3, 640, 640)
Results saved to runs/detect/exp4

🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

Refactoring image annotation by removing specific ASCII checks and improving international character support. 🌍✨

📊 Key Changes

• Removed the is_ascii function and associated ASCII checks in various parts of the code. 🚮
• Adjusted the Annotator class to more flexibly support international (non-ASCII) characters, including Chinese. 🈳
• Simplified string handling by removing unnecessary variable reassignments and comments. 🛠️

🎯 Purpose & Impact

• Enhanced Internationalization: By accommodating non-ASCII characters, YOLOv5 becomes more amenable to a global user base. 🌐
• Improved Code Clarity: The refactoring clarifies the code and removes redundant functions, providing a cleaner codebase. 🧹
• Flexible Image Annotation: The updates help ensure that annotations on images can include a broader range of characters, useful for labels with international text. 👁️‍🗨️