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AIS-Resources

This is the readme for the venv fast setup feature abstract The venv fast setup feature is to help standardize our coding practices among all machines. For windows users, you should have two files; the requirements.txt and a runme.bat the requirements.txt lists all the python libraries and their respective version that you need for your venv

setup download the files in this directory the runme.bat executes commands inside your terminal to build the venv with the name ais this is the name of your virtual environment. your venv is named ais to activate your venv, you should be in the same directory as it

execute the command .\runme in your terminal. this installs the venv it will take a bit, but a confirmation message will print once the process has finished

bug testing When you are, run ais/Scripts/activate in your terminal. this activates the terminal you know this happens because the left side (where your current directory is) has changed a bit.

try the command python in your terminal. the left side should change again. this verifies you have python now you have activated a python script inside your terminal. you can write python code in here, and it will execute try import numpy and press enter. this verifies the packages from the requirements.txt were installed

if both of these work, thats great! if not, contact me.

exit the python editor with quit() exit the venv with deativate

integrating the venv with vscode open vscode. inside vscode, open the folder you're using for this project (should be the same/parent of venv directory) click on the search bar top center of the screen. search >Python: Select Interpreter select the enter interpreter path option, and use the find feature to navigate to its location.

enter the folder called ais, enter the Scripts subfolder, and select the file named python. now you have the python interpreter identified, try writing to a .py file some test code

import numpy

if vscode says this module isn't found, then something went wrong.

else, you are good to start coding! go through the tutorials, and write out the code they do you'll learn fastest by not copy pasting code from the tutorial to your screen its a little tedious, but have both windows open and follow along I personally haven't verified when the tutorial starts developing the image classification network, but hopefully the whole thing takes less than two hours. this is my best guess

if you run into any questions or errors, send a message in the #help-me section of the discord

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for learning resources. reference this in case you feel stuck

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