Projects using OpenCV in Islamabad Capital Territory
Projects using OpenCV in Islamabad Capital Territory
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Ameer gul
License Plate Recognition System using Deep Learning & OpenCV
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Shehzada Ammad Ali
Pro
Rat Paw Detection with YOLOv8 + Gradio This project showcases a lightweight and intuitive web interface for detecting rat paws in images using a custom-trained YOLOv8 model. Built with Gradio, it allows users to upload an image and receive instant visual feedback with detected paws highlighted. Key Features: YOLOv8 object detection fine-tuned specifically for rat paw recognition. Interactive web app for image uploads and real-time inference. Built with Gradio for fast prototyping and deployment. Clean interface with automatic annotation overlay.
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Shaheer Zafar
Shaheerzafar5/YOLOv8-Classification-On-Custom-Dataset-Recipe-In…
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Umer Nazeer
Computer Vision Bag of Visual Words
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15
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Syed Asad
Clothes Segmentation
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Shehzada Ammad Ali
Pro
Contours Extraction & DXF Export from Images-AI-Based End-to-end computer vision solution that automatically detects objects in an image, accurately measures in real-world units, &exports result as a scalable DXF file. Key Features Uses background subtraction & morphological operations, extract objects from image, even in cluttered or noisy backgrounds. Detects known reference object (coin) in image & computes precise scaling factor (mm/px) using OpenCV contours & geometric heuristics. Clean object edges are extracted & converted into vector contours with pixel-level precision. Object outlines are transformed into vector splines & exported as .dxf files, fully compatible with CAD tools like AutoCAD, LibreCAD, SolidWorks, & Fusion360. User-friendly frontend for non-technical users to upload images & receive DXF files .
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Fasih Ahmed
Facial-Flyer_A-Flappy-Bird-Adventure
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4
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Shehzada Ammad Ali
Pro
Image Stitcher – Seamless Panorama Creation Using OpenCV & Gradio This project is a web-based image stitching tool built with Python, OpenCV, and Gradio. It enables users to upload multiple overlapping images and generate a seamless panoramic output with enhanced exposure and automatic perspective correction. Key Features: Uses CLAHE (Contrast Limited Adaptive Histogram Equalization) to enhance the luminance channel and balance exposure across input images. Utilizes OpenCV’s Stitcher class to intelligently align and blend images into a panoramic output. Applies a bounding box and perspective transform to fix skew and crop black borders for a cleaner result. Built with Gradio for a simple, interactive web interface that supports: Multiple image uploads, Real-time stitching preview, One-click stitched image download
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