Python opencv notebooks using SIFT, SURF and feature matching using Brute-Force with ORB descriptors
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Updated
Aug 10, 2017 - Jupyter Notebook
Python opencv notebooks using SIFT, SURF and feature matching using Brute-Force with ORB descriptors
Notebook to move images according to their labels in a pandas dataframe
Jupyter notebooks of different python packages like opencv, numpy, PIL (Pillow) etc
cvloop allows online video transformation and evaluation with OpenCV. Designed for jupyter notebooks.
opencv python examples in jupyter notebook
Jupyter Notebook with simple OpenCV Examples
Barcodes, OpenCV Operations and Signature detection prototypes
Basic OpenCV Projects like Face Detection, Contour, Edge Detection etc
Jupyter Notebook + Tensorflow 2.0-beta + PyTorch + OpenCV (for Machine Learning)
Gradual Steps of Digital Image Processing (+ Computer Vision). Programming Language: Python 3.7 with IDE: Jupyter Notebook
This repository consists of 40+ Notebooks, explaining OpenCV Basics for a beginner.
Hands-on guide to Artificial Vision through the use of Jupyter notebooks and OpenCV.
Tools: Anaconda, Jupyter notebook, dlib, OpenCV-contrib-python, boost-python.
A capstone project from OpenCV from opencv.org. IDE - Jupyter notebook
This repository contains a notebook for Image Classification of Rock-Paper-Scissors's animated images.
Real time face detection using Opencv and deep neural network. Code written in python using jupyter notebook. the repo contains 2 files one using a haarcascaded frontalfac model for training model and the other uses caffe model for deep neural networks
Este repositorio muestra una guía para manipular imágenes con OpenCV. Notebook en Inglés y Español
This algorithm uses a rectangle made by the user to identify the foreground item. Then, the user can edit to add or remove objects to the foreground. Then, it removes the background and makes it transparent.
Houses a set of notebooks containing computer vision projects using OpenCV and Deep Learning in python
Ready to run Jupyter notebook docker image with Python 3.9, OpenCV 4 and more
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