Yolo-Object-Detection-and-Distance-Measurement-With-Intel-Realsense-Camera

You can use this repo to detect object with Intel realsense camera and measure the distance of this object.

How to use

You need to run this script like that python zed.py or if you use tensorRT yolo, You need to run this script like that python realsense_trt.py You need to edit the codes in realsense.py line according to yourself.

specify the yolo weights and config files you trained before.

29. weightsPath = "yolov4-tiny-taco.weights"
30. configPath = "yolov4-tiny-taco.cfg"

then you need to edit the following lines in realsense.py

Size should be changed according to your config file

40. model.setInputParams(size=(608, 608), scale=1/255, swapRB=True)

Edit them according to your class labels.

52.  LABELS = [ 'class_name_1',
                'class_name_2',
                'class_name_3',
                'class_name_4',
                .
                .
                'class_name_n'
                ]

that's all, if you have a intel realsense camera you can easily find the distance of the objects you have detected

You can see how the program works in the gif below.

I used the https://github.com/MehmetOKUYAR/Yolo-Object-Detection-and-Distance-Measurement-with-Zed-camera repo while creating this work