Image Enhancement with OpenCV Numpy and MatPlotLib
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Updated
May 17, 2024 - Jupyter Notebook
Image Enhancement with OpenCV Numpy and MatPlotLib
Feature extraction from GEOJson nuclei and tissue segmentation maps
Depth-Based Region-of-Interest (ROI) Selection
Drawing ROIs with a non-graphical user interface
Este projeto utiliza técnicas de processamento de imagem para monitorar vagas de estacionamento por vídeo e determinar se estão ocupadas ou livres, exibindo essa informação em tempo real no próprio vídeo.
A structured guide to learning ADAS systems, sensors, AI applications, and modern vehicle safety features with hands-on Python exercises.
Visualisation of N-dimensional meteorological data in an interactive way
Real-time intrusion detection using YOLO V5 in a designated ROI with OpenCV masking and photo and alert trigger to Telegram
An Innovative Saliency Guided RoI Selection Model for Panoramic Images Compression
A simple tool to visualize/edit region-of-interests (ROIs) on images
Python GUI to perform live Fourier transforms of a part of your screen
Multiple Object Tracking (MOT) with Region of Interest (ROI) Selection
Select and Extract ROI's from jpg, png, bmp or tiff images.
In order to verify the performance of face recognition algorithms of other companies in 2021, we are going to review the relationship between GT data and recorded images of face recognition that we have developed.
Histogram equalization is the method where all gray levels contains ideally equally number of pixels. Histogram equalization increases the dynamic range of the histogram of an image. OpenCV library for Python is used to equalize the input image. Histogram equalization is also done for the required region of interest (ROI).
Bachelor Thesis - Extract ROI from handpalm pictures
Implemented defect detection leveraging IR Thermography technology. Developed with a goal to enhance industrial inspection processes, the project utilizes infrared imaging techniques to identify structural faults and anomalies in materials and components. The system offers real-time analysis and visualization of thermal data.
Simple lane detection video pipeline with color channel thresholding, edge detection and projection on ROI
Tracking tool to extract multiple features in a video and store frame by frame ROIs in output files
Successfully developed an object detection model using Faster R-CNN to detect safety helmets and ensure compliance at construction sites by accurately localizing helmets and personnel in real-time images.
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