aryan0141 / RealTime_Detection-And-Classification-of-TrafficSigns

Real-Time Detection And Classification of Traffic Signs using YOLOv5s object detection algorithm. [AI PROJECT]

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Real-Time Detection And Classification of Traffic Signs using YOLOv5s object detection algorithm.

Directions to Run The Code-

1) Open the main directory named RecogniSign in your command prompt.

pip install requirements.txt
cd Codes

2) Before running the next command, put your test file in the directory named Test.

python detect.py --source ../Test/(name of your file)

For eg- If your image name is test.jpg, then put your image in the directory named Test and then run-

python detect.py --source ../Test/test1.jpeg

Above same step can also be used to test the model on video files.

3) For running on WebCam run-

python detect.py --source 0
Check the sample video named - vidd1.mp4

4) Complete information and specifications are written in the pdf named Documentation.

5) Contibutors-

Aryan Garg & Kartik Aggarwal

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Real-Time Detection And Classification of Traffic Signs using YOLOv5s object detection algorithm. [AI PROJECT]


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