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A project on Image Processing, leveraging PyQt5 for a user-friendly GUI and implementing essential operations like Low Pass Filter, Downsampling, Upsampling, Thresholding, and Negative Image Generation. It offers a visually engaging experience while exploring the realm of image processing techniques.
A curated collection of Python scripts exploring the basics of OpenCV for image processing, including operations like blurring, edge detection, and color space transformations.
Zamansal domende konvolusyon ile bulanıklaştırma Bulanıklaştırma ve Keskinleştirme/Blurring with Convolution in the temporal domain Blurring and Sharpen
This Python script leverages OpenCV to perform real-time face detection and blurring in a video stream. The YOLO (You Only Look Once) object detection model is employed to identify persons in the video, and Haar Cascade is then used for face detection within those regions. Detected faces are blurred for privacy.
A short script that blurrs an image. You can apply Gaussian, Median, Bilateral and Box blurs. Adjust the intensity from the slider. Project made in collaboration with a colleague for a University project.