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.
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Updated
Oct 22, 2024 - Python
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.
Free browser-based eye trainer for tracking, reaction time, peripheral vision, and visual perception drills.
Desktop practice companion for MECCHA CHAMELEON with color training, pose references, and custom visual scenes.
Desktop practice companion for MECCHA CHAMELEON with color training, pose references, and custom visual scenes.
This repository provides an end-to-end workflow for generating experimental stimuli, running the experiment, preprocessing raw data, performing exploratory data analysis (EDA), conducting statistical analyses, and visualizing the results.
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