This project gets the image or real time video feed and removes the fog or mist. The main reason of this project is for autonomous cars. In foggy days autonomous cars can't see well with their cameras.
This project detects the predefined objects on the image. We can train the model with objects we want to detect.
This project can get the image from the user which contains a paper or a document. Then it converts it into a pdf-file which you can use later on and you can extract the text from that image as well.
This can be used anywhere where you want to blur the faces automatically. The input can be an image or a real time video feed.
Libraries: opencv, numpy, argparse
This project detects and recognizes the faces from the images or a real time video feed. This can be used on security cameras, smart home solutions, robots etc.
This project gets the image or a real time video feed and predicts the emotions on people's face. This can be used for predicting the emotions on the faces.
This project gets the inputs. The first one is an image which you want to use as the style image. The second one is the image which you want to use that style on. This can be used on phones.
This project uses images or a real time video feed. This project can be used to determine the ages of people and their gender.