This project demonstrates how to use computer vision techniques to identify lane markings on roads. The input image is read using OpenCV and converted to the RGB color space. The image is then ...

Install the opencv. Copy the build file location and paste it to the path of environmental varibles of the the machine. Steps invovled: using function Mat rotate to rotate the image. In the Mat rotate ...

As we can see that the input image read by OpenCV is being shown as a BGR (Blue-Green-Red) image so we need to convert it to the RGB (Red-Green-Blue). Here we are going to detect the edges in the ...

Copy CodeCopiedUse a different Browser model_path = torch.hub.load("intel ... read it using OpenCV, and convert it from BGR to RGB format for accurate color representation. Copy CodeCopiedUse a ...