https://github.com/dorisoy/dorisoy.toothtracking
使用 YOLOv5(You Only Look Once version 5)深度学习目标检测模型,进行了端到端目标检测算法, 用了 295 张嘴巴,牙齿采样照片,通过自动学习的锚点标记,可以完美适应训练数据集中对象的形状,使用该技术,外加机械臂,可以运用到我们治疗机的口腔灯自动探照感应上,实现光源对焦和避让.
https://github.com/dorisoy/dorisoy.toothtracking
ai-tooth tooth tooth-tracking visual-training yolov5
Last synced: over 1 year ago
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使用 YOLOv5(You Only Look Once version 5)深度学习目标检测模型,进行了端到端目标检测算法, 用了 295 张嘴巴,牙齿采样照片,通过自动学习的锚点标记,可以完美适应训练数据集中对象的形状,使用该技术,外加机械臂,可以运用到我们治疗机的口腔灯自动探照感应上,实现光源对焦和避让.
- Host: GitHub
- URL: https://github.com/dorisoy/dorisoy.toothtracking
- Owner: dorisoy
- Created: 2024-09-04T06:00:30.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-10-22T09:24:24.000Z (almost 2 years ago)
- Last Synced: 2025-03-28T17:48:00.742Z (over 1 year ago)
- Topics: ai-tooth, tooth, tooth-tracking, visual-training, yolov5
- Language: Python
- Homepage:
- Size: 35.3 MB
- Stars: 4
- Watchers: 1
- Forks: 1
- Open Issues: 0