当前位置:网站首页>Import requirements in batches during Yolo training Txt
Import requirements in batches during Yolo training Txt
2022-07-07 17:41:00 【AI cannon fodder】
We can see yolov5 Before training, we not only need to make data sets , You also need to import more packages , As shown below , If we import one by one, it will be very troublesome .
Therefore, you can consider using the following commands for batch import :
Before using batch import , The first thing you need to cd To the specified requirement Under the path :
Then execute the following command in this path :
pip install -r requirements.txt
give the result as follows :
We find that our existing configuration will not be installed again , If the configuration is not satisfied, it will be installed
边栏推荐
- 本周小贴士#141:注意隐式转换到bool
- 本周小贴士#135:测试约定而不是实现
- Problems encountered in Jenkins' release of H5 developed by uniapp
- Ansible learning summary (9) -- ansible loop, condition judgment, trigger, processing failure and other task control use summary
- alertDialog創建对话框
- 麒麟信安中标国网新一代调度项目!
- Alertdialog create dialog
- 2021-06-28
- 麒麟信安加入宁夏商用密码协会
- LeetCode 497(C#)
猜你喜欢
随机推荐
[distributed theory] (I) distributed transactions
L1-027 出租(Lua)
Use onedns to perfectly solve the optimization problem of office network
【网络攻防原理与技术】第4章:网络扫描技术
策略模式 - Unity
99%的人都不知道|私有化部署还永久免费的即时通讯软件!
深入浅出【机器学习之线性回归】
L1-025 正整数A+B(Lua)
Ratingbar的功能和用法
带动画的列表选中js特效
【TPM2.0原理及应用指南】 16、17、18章
YARN Capacity Scheduler容量调度器(超详细解读)
Simple loading animation
2021-06-28
本周小贴士131:特殊成员函数和`= default`
线上比赛相关规则补充说明
Establishment of solid development environment
本周小贴士#135:测试约定而不是实现
Solid function learning
深度学习机器学习各种数据集汇总地址