Cog Libraries

Thank you for your interest in contributing to our Repo! Pull requests are welcome. For fixing typos, please make a PR with your fixes. We are happy for every contribution. A lot can be done with thi…

For more information jump to a section below. | Clone a copy of the repo: Change to the SDK's directory: To use a local copy of the SDK you can link to these packages with the pip -e option. First ex…

To install from PyPI and run: To install from sources and run for development: Ready to use/deploy images can be found on Github registry.

image recognition captchas using TensorFlow, no need image segmentation, run on ubuntu 16.04, python 2.7 train and evaluate neural network on CPU or one single GPU you can also train over multiple GP…

Python cookiecutter API for quick deployments of spaCy models with FastAPI The API interface is compatible with Azure Search Cognitive Skills. View the README.md of your new project for instructions …

Still, these are the commands for Linux: You can build the image with: After getting your VAD token (see next sections) run: The "volume" stuff will allow you not to re-download the huggingface model…

This repository aims to provide convenient, easy deployable and scalable REST API for InsightFace face detection and recognition pipeline using FastAPI for serving and NVIDIA TensorRT for optimized i…

We seek to provide a valuable attendance service for both teachers and students. Reduce manual process errors by provide automated and a reliable attendance system uses face recognition technology. B…

Using a Convolutional Neural Network (CNN) to recognize facial expressions from images or video/camera stream. The goal is to get a quick baseline to compare if the CNN architecture performs better w…

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First, clone the repository and submodules: Now you have all the dependencies necessary to follow along with the chapters in the book. You don’t need to worry about any other installations. Any feedb…

fastapi-cloudauth standardizes and simplifies the integration between FastAPI and cloud authentication services (AWS Cognito, Auth0, Firebase Authentication). Python 3.6+ NOTE: access token is valid …

Genalog has various capabilities: The aim of this project is to provide a complete solution for generating synthetic images from any text data rich in natural language and to imitate most of OCR nois…

it's a wrapper around pyautogui and opencv2, to allow you to easily add cross-platform image searching capabilities to your project. See the documentation for examples. If you have any questions feel…

ChatGPT at home! Basically a better Google Nest Hub or Amazon Alexa home assistant. Built on the Raspberry Pi using the OpenAI API. This guide will explain how to build your own. It's pretty straight…

Lintel is a Python module that can be used to decode videos, and return a byte array of all of the frames in the video, using the FFmpeg C interface directly. The foremost advantages of Lintel are: L…

The motivation is to make it easy for developers to extract tabular data from images or scanned PDF files without worrying about the table area, column coordinates, rotation et al. Ok, enough selling…

A python program that uses concepts of image processing and OCR to identify the characters on a Nigerian license plate. The OCR aspect was done with machine learning. The program was written with pyt…

Face recognition system using MTCNN, FACENET, SVM and FAST API to track participants of Big Brother Brasil in real time. To use the project successfully, you need to follow the steps below. This scri…

This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both f…

OS Bot COLOR (OSBC) is a desktop client for controlling and monitoring automation scripts for games. This application is paired with a toolkit for writing new scripts. Unlike popular automation frame…

Recycle your plastic better with Artificial Intelligence ♻️ Training a specific model is hard, the model always gets things wrong. So if it does, we give the user an opportunity to tell us what the r…

All of the Keras built in models are made available: This project has the following dependencies: The only thing you have to do to get started is set up the folders in the following structure:

This library tested with Python 3.6+ and Pypy 3. There are two ways to install the library: or: It is generally recommended using the first option.

Check out corresponding Medium article: Structure your data as follows: For binary classifications you are good to go! For non-binary classifications:

Synthalingua is an advanced, self-hosted tool that leverages the power of artificial intelligence to translate audio from various languages into English in near real time, offering the possibility of…