Visual traffic monitoring at a road intersection project

Libraries for task 1 & 2

• python 3.9.16
• opencv-python 4.7.0.72
• ultralytics 8.0.119
• numpy 1.24.3

Libraries for task 3

• python 3.10
• opencv-python 4.7.0.72
• ultralytics 8.0.118
• numpy 1.23.5
• pandas 2.0.2

To run the solution for task 1

• Open Lara_Tomeh_507\Code\Task1_code in Anaconda prompt
• Open jupyter notebook
• Change the Train_Mode in the 2nd cell to True or False based of the files you are going to test
• Make sure to modify the path based on the location of the files on your disk
• Run the notebook and find the solutions in Lara_Tomeh_507\Task1

To run the solution for task 2

• Open Lara_Tomeh_507\Code\Task2_code in Anaconda prompt
• Open jupyter notebook
• Change the Train_Mode in the 2nd cell to True or False based of the files you are going to test
• Make sure to modify the path based on the location of the files on your disk
• Run the notebook and find the solutions in Lara_Tomeh_507\Task2

To run the solution for task 3

• Open PyCharm IDE or any IDE you prefer
• File - Open - Select the folder "Lara_Tomeh_507\Code\Task3_code" - Trust Project
• Make sure to include the videos you want to test within the same folder
• Make sure to write the video name and output name to bo similar in "video_path" and "output" variables
• Run main.py and find the solutions (output videos and text files) in the same folder