[Create configuration environment]

1. Create and configure the environment

The xx below is your own environment name

conda create -n xx python==3.9

conda activate xx

报错1：CommandNotFoundError: Your shell has not been properly configured to use 'conda activate'.

Solution 1 :

source activate
//conda deactivate //回到base环境
conda activate xxx

Just choose one of the two PyTorch (enter the environment first and then configure)

pip install torch torchvision torchaudio

Torch has entered the 2.0 era, and I need to choose the version I need: Previous PyTorch Versions | PyTorch

pip install torch==1.13.0+cu116 torchvision==0.14.0+cu116 torchaudio==0.13.0 --extra-index-url https://download.pytorch.org/whl/cu116

Set up Tsinghua mirror source and permanent configuration

pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple

2. Check whether pytorch is installed successfully

Under base, check what user environments there are now (do you have your own) refer

conda env list

Enter your own environment and see if torch/torchvision is successfully installed.

conda list

If the installation is not successful, you can return to the first step to reinstall↑; if you want to remove it, recreate it or rename it↓ (check it in env after the completion)

conda remove -n xxx --all

Other commands:

Check python version

python -V

View video memory usage: parameters

nvidia-smi

3. Open the project, set the creation environment, and run the program to install the required packages.

(You can debug the CPU first to solve various basic running problems; remember to switch the compilation environment when running the server, not the CPU)

(You can adjust the batchsize and epoch to be smaller to run through first, and install pip install xxx according to the no module problem encountered)

Frequently encountered/special ones:

cv2

pip install opencv-python

tensorboard

pip install tb-nightly

skimage

pip install scikit-image

No module named 'yaml' (add a py in front)

pip install pyyaml

other:

pip update

python -m pip install --upgrade pip

According to requirement.txt, all pip install xxx does not need to be specific to the version or directly

pip install -r requirements.txt

Kill unused but occupied processes

kill -9 xxx

rar installation and use , if the make permission is not enough to enter root ( first two steps )

[jupyter and other commands]

1. Jupyter enters drive E

conda activate
cd /d E:
jupyter notebook

2. View the folder tree directory: first cd \d directory; then tree

cd /d F:\0-MINE-coding\yolo
tree

# 查看三级目录
tree -L 3

If there is no tree, install it first, multiple tree structure display methods

sudo apt-get install tree

3. Command to delete files

MobaX returns two levels first

Enter the correct directory! Enter the correct directory!! Enter the correct directory!!! Tag can be used

cd /mnt/2TB/zj
rm -rf xxxx

4. Return to directory (cd space)

返回上一级目录    cd ..
返回上两级目录    cd ../..
返回home目录     cd或cd ~
返回指定目录      cd - 目录名

5. Use bash to download gitee/github: git clone [url]

[Common Linux commands]

Linux zip command

Pack all files and folders in the /home/html/ directory into html.zip in the current directory:

zip -q -r html.zip /home/html

If we are in the /home/html directory, we can execute the following command:

zip -q -r html.zip *

【Coding tools】

1. Download from github: Use the git tool, right-click, and paste the Link after the following command

git clone

2. Data enhancement albumations

3、

[pycharm shortcut keys]

Collapse all code: Ctrl + Shift + - (minus sign)
Expand all code: Ctrl + Shift + + (plus sign)

[Pycharm remote settings]

refer

I have been transferring files between different computers orz and the desktop remote orz is stuck and there is no visual MobaXterm. I surrender.

The important thing to note is that every time you change the code locally, remember to uploaduploadupload

First install Pycharm professional and interpreter to set up the connection.

Fill in your python environment (that is, your python address): If it is an Anconada environment, the address is generally "/home/your usr name/.conda/envs/envs name/bin/python"

Set the file location on the remote server, which is the image of the local project. Set it up so there's no confusion. It is also convenient to run experiments directly with MobaXterm in the future. (Can be ignored)

You can also set file directory mapping in tools

Then select the interpreter you configured. Done.

Attention!!! After completing the local changes, remember to deploy and upload

【else】

1. Environment display PS:

2. ModuleNotFoundError: No module named 'xxx' appears after connecting to the server. It needs to be configured on the server!! It is invalid locally.

3. " The environment location directory is not empty ": The solution is to manually delete the venv folder under the project, restart Pycharm, and then configure New environment.

4. CondaHTTPError: HTTP 000 CONNECTION FAILED for url problem occurs in Anaconda

[Personal records|Environment configuration, etc.]