Initial terminal lines to enter to add github to a local folder

cd to folder you want github to be added to
git init
git remote add origin https://github.com/ma53ma/ME470.git

Terminal lines to enter after github is added

git pull origin main

// If you are creating files that are not already in the GitHub, add their names into underline (ex. run_yolo.py)
git add ______

git commit -m "first commit"
git push -u origin main

Lines to enter if you run into issues with the above lines

git pull origin main --allow-unrelated-histories

git add ____________

git commit -m "commit message here"

git push origin HEAD:main

Install Procedure

1. Download latest release and extract files in directory of your choice
2. Install Python (minimum tested compatible version 3.7)
3. Use Python's pip command to install the latest version of opencv (min version 4.5.1)
4. Run script based on your operating system to launch the program

Troubleshooting

• Check to make sure your webcam index is the correct number, you might have to try numbers ~0-5 until you get the right one. Line 53: cv2.videocapture(x).
• Make sure you have the correct version of opencv installed, at least 4.5.1.
• Ensure your webcam is properly connected and is compatible with your computer.

Links that code is pulled from to create this repository and anything else we used

packages used: cv2,numpy,argparse,time language used: Python Here opencv is used alongside yolo for object detection using image processing.

Sources: [1] https://towardsdatascience.com/object-detection-using-yolov3-and-opencv-19ee0792a420?gi=82dd13e620a9
This blog post provides a tutorial that teaches beginners how to get started interfacing OpenCV with YOLOv3. This tutorial provides you with the necessary Python libraries to run YOLOv3 as well as example code and functions of YOLOv3 in use.
[2] https://blog.roboflow.com/training-a-yolov3-object-detection-model-with-a-custom-dataset/
This blog post is home to the Google Colab notebook that was used at the beginning of this semester to train YOLOv3 using a custom dataset. While the team shifted away from YOLOv3 during this semester, this link is helpful to further understand the process of training object detection algorithms.
[3] https://www.tutorialspoint.com/batch_script/batch_script_syntax.htm
Guide for writing scripts to run commands in Windows 10.