How to display the Chinese label on th detetion box?

[HTRT]

❔Question

Additional context

[github-actions]

👋 Hello @HTRT, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

If this is a 🐛 Bug Report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you.

If this is a custom training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available.

For business inquiries or professional support requests please visit https://ultralytics.com or email Glenn Jocher at glenn.jocher@ultralytics.com.

Requirements

Python>=3.6.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

$ git clone https://github.com/ultralytics/yolov5
$ cd yolov5
$ pip install -r requirements.txt

Environments

YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

• Google Colab and Kaggle notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• Docker Image. See Docker Quickstart Guide

Status

If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training (train.py), validation (val.py), inference (detect.py) and export (export.py) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.

[glenn-jocher]

@HTRT Arial Unicode should be used, but we should do this automatically. I'll queue this as a TODO.

/Users/glennjocher/PycharmProjects/yolov5/venv/bin/python /Users/glennjocher/PycharmProjects/yolov5/detect.py

Downloading https://ultralytics.com/assets/Arial.Unicode.ttf to /Users/glennjocher/Library/Application Support/Ultralytics/Arial.Unicode.ttf...

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 🚀 v5.0-466-gc5ba2ab 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. (0.193s)
image 2/2 /Users/glennjocher/PycharmProjects/yolov5/data/images/zidane.jpg: 384x640 2 欧洲和西班牙s, 2 ties, Done. (0.152s)
Speed: 1.1ms pre-process, 172.8ms inference, 1.0ms NMS per image at shape (1, 3, 640, 640)
Results saved to runs/detect/exp3

[glenn-jocher]

TODO: implement Arial Unicode automatically for Chinese characters.

[glenn-jocher]

@HTRT good news 😃! Your original issue may now be fixed ✅ in PR #4951. This PR enables plotting images with Chinese characters. Fonts are downloaded automatically, no action required on your part other than to update your code. You do not need to retrain any models.

To receive this update:

• Git – git pull from within your yolov5/ directory or git clone https://github.com/ultralytics/yolov5 again
• PyTorch Hub – Force-reload with model = torch.hub.load('ultralytics/yolov5', 'yolov5s', force_reload=True)
• Notebooks – View updated notebooks
• Docker – sudo docker pull ultralytics/yolov5:latest to update your image

Thank you for spotting this issue and informing us of the problem. Please let us know if this update resolves the issue for you, and feel free to inform us of any other issues you discover or feature requests that come to mind. Happy trainings with YOLOv5 🚀!

[lonngxiang]

how to let predict labels display other languages？

[glenn-jocher]

@lonngxiang You can display labels in other languages by setting the font for the annotation using Pillow (PIL). Try the following code to display Chinese labels:

from PIL import Image, ImageDraw, ImageFont

# Open image
img = Image.open('path_to_image.jpg')

# Define the font (Arial Unicode MS supports many languages, including Chinese)
font = ImageFont.truetype("path_to_Arial_Unicode.ttf", 50)

# Draw label
draw = ImageDraw.Draw(img)
draw.text((10, 10), "你好", font=font)  # Draw Chinese label at position (10, 10)

# Save or display the annotated image
img.save('output.jpg')
img.show()

Be sure to replace 'path_to_image.jpg' and 'path_to_Arial_Unicode.ttf' with your file paths.

More details on using fonts with PIL can be found in the Pillow documentation.

Let us know if you encounter any issues or have further questions!