1、安装python 3.6 以上版本
2、安装Pycharm
3、yolov5源码 下载：GitHub下载
4、计算平台
1）CUDA（Compute Unified Device Architecture），是显卡厂商NVIDIA推出的运算平台
2）Anaconda指的是一个开源的Python发行版本，其包含了conda、Python等180多个科学包及其依赖项。 [1] 因为包含了大量的科学包
3）nvidia-smi
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 442.50 Driver Version: 442.50 CUDA Version: 10.2 |
|-------------------------------+----------------------+----------------------+
| GPU Name TCC/WDDM | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 166... WDDM | 00000000:01:00.0 Off | N/A |
| N/A 40C P8 9W / N/A | 153MiB / 6144MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 10424 C+G ...4.79.0_x64__8wekyb3d8bbweYourPhone.exe N/A |
+-----------------------------------------------------------------------------+
5、安装pytorch
Start Locally | PyTorch
