Separate repo for OpenCV projects
In this project we try to extract the number plate of a car from an image. The image is first grayed and blurred, and then the Canny method is applied for edge detection using the OTSU threshold. Afterwards we grab the largest contours which have four sides. That would be the number plate.
In this project we have tried to generate images using samples from the CIFAR10 dataset using a DCGAN Generated images are stored here
In this project we have first extracted the keyframes of the video using a filter based on descriptive statistics and then used the pre-trained model YOLOv3 to find out the number of objects in the keyframe.