😎 Finding duplicate images made easy!
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Updated
Jul 3, 2024 - Python
😎 Finding duplicate images made easy!
📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.
Keras implementation of the Yahoo Open-NSFW model
[NeurIPS 2020] Cross-Scale Internal Graph Neural Network for Image Super-Resolution
A simpler way of reading and augmenting image segmentation data into TensorFlow
Designing and Training of A Dual CNN for Image Denoising (Knowledge-based Systems, 2021)
Face Recognition/Detection (image/video) using skin tone threshold algorithm, haar cascade for face detection and LBPH for face recognition. It also implements the concept of multithreaded server with multiple clients.
A python library for automated exploratory data analysis
Generic Image Sorter Interface for Streamlit
This repository contains all the files of the project OCR for Telugu.
Preprocessing the images and saving them in a specific directory with python
This program enables real-time face recognition for attendance marking. It uses a webcam or video input to detect and recognize faces in real-time. When a recognized face is identified with sufficient accuracy, the corresponding name is recorded in an attendance file named Attendance.csv, along with the timestamp of the recognition.
CenOTAPH: COlour and Texture Analysis toolbox for PytHon
Python Program to convert images to .npy files along with their labels and store them for future use in Machine Learning.
nyan (not your average name) is an image pre-processing and post-processing library for computer vision tasks.
Implementation of fast Data Augmentation for Image Classification / Detection tasks.
programs to performs an image processing methods
A faster Dataset Creation Tool for Agriculture plot images captured aerial vehicles
The objective to write this python script is to convert the directory's files to CSV file with manual labeling, which often facilitates to preprocess the image dataset.
Add a description, image, and links to the image-preprocessing topic page so that developers can more easily learn about it.
To associate your repository with the image-preprocessing topic, visit your repo's landing page and select "manage topics."