Browser-based image blurring
A curated collection of Python scripts exploring the basics of OpenCV for image processing, including operations like blurring, edge detection, and color space transformations.
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.
`DYFBlurEffect`可以快速实现模糊图像，并支持系统 UIVisualEffectView。(Using DYFBlurEffect to quickly realize blurred image, and support UIVisualEffectView in iOS.)
Track and blur any object or person in a video.
Zamansal domende konvolusyon ile bulanıklaştırma Bulanıklaştırma ve Keskinleştirme/Blurring with Convolution in the temporal domain Blurring and Sharpen
Assignments and projects made while taking the Course Computer Image Processing. Featuring several image processing strategies and algorithms like Contour Plots with Marching Squares, Histogram Matching, Blurring, Denoising, Kernels, Filters, PSF, MTF, Template Matching, Interpolation, Segmentation, Hough Lineal Transform and more.
This is task 2 of VIP CUP 2019.Here we are providing security to sensitive objects while recognizing human activities captured by body cameras
Deep Learning based Sudoku Solver
Level 5 MSci dissertation project "Implementation and Evaluation of a Tool for DeepFake Obfuscation".
Face Blurring using OpenCV.
Rough comparison of time taken to blur an image in 4 programming languages
Sogang Univ. image processing practice (CSE4152, 2019)
Dive into the world of Signal and Image Processing with this repository. Explore a collection of Python programs covering Discrete Fourier Transform, Elementary Signals, Sampling, Point Processing Techniques, Histogram Processing, Frequency Domain Filtering, Edge Detection, Erosion and Dilation, and Morphological Operations.
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.
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.
OpenCV, apply 'Homogeneous', 'Gaussian' filter on image.
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