arda66 / real_time_face_detection_and_applying_filters_for_graduation_project_i

Finished real-time face detection, image face detection,manual image editor interface, image optimizer and applying various filters with tkinter interface for Grad. Project I. Will be updated over time.

All project codes are explained in word report. All rights are licensed and owned By Arda Dumanoğlu. First clone the project then run the Interface.py file Read the project documentation first.

DESCRIPTION: It is a graduation project that I developed on the Tkinter interface and openCV in Python, where there are many different options and the desired one can be selected from the interface. As an option, we can add filters to our webcam or manually increase and decrease the color saturation, adjust the values such as contrast and brightness, and get the output we want, Portrait mode takes the part of our face as a circle and blurs the rest, Real-time face recognition option, on the selected photo face recognition option, the option to record our face as a video with a webcam, the automatic brightness and contrast optimization tool, a Photoshop-style simple interface tool that allows us to manually manipulate the values of the photo and obtain the desired output, and also a tool that allows us to manually optimize the video in real-time.