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You will gain

yolov5

artificial intelligence (AI)

图像分类

目标检测

population (esp. of a group of people)

本课程适用于对Python有一定了解，希望想学习yolov5的学员。

Courses

目标检测是计算机视觉中比较简单的任务，用来在一张图篇中找到某些特定的物体，目标检测不仅要求我们识别这些物体的种类，同时要求我们标出这些物体的位置。

YOLO的全称是you only look once，指只需要浏览一次就可以识别出图中的物体的类别和位置。

本次课程学习内容

如何通过yolo自定义训练我们的数据
如何将yolo进行部署，flask 接口
yolo + deepsort 目标跟踪

sports event

口罩识别
车辆跟踪，计数

Course Catalog

开篇 03:25
显卡说明 05:40
torch-gpu搭建 20:48
labelImg标注 10:45
标注文件yolo和txt互相转换 17:09
训练集和测试集的划分 18:52
自定义训练数据集 35:21
训练结果评价 08:50
训练文件解读 06:26
detect.py 模型测试 07:31
export.py 模型导出onnx 08:08
自定义训练数据集总结 07:54
torch加载自定义训练yolo模型 14:57
flask部署自定义训练模型（上） 18:15
flask部署自定义训练模型（下） 04:41

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