2 telegram-bots: for image recognition and for text generation.
User sends a photo and bot determines what is in the picture (using ResNet50).
Generates text in the style of a poem 'Moscow-Petushki' by V.Erofeev (trained GPT2).
whatthelang Lightning Fast Language Prediction 🚀 Dependencies The dependencies can be installed using the requirements.txt file: $ pip install -r req
This program allows the user to control the volume of their device with specific hand gestures involving their thumb and index finger!
PyNeuro PyNeuro is designed to connect NeuroSky's MindWave EEG device to Python and provide Callback functionality to provide data to your application
Optical Character Recognition OCR (Optical Character Recognition) is a technology that enables the conversion of document types such as scanned paper
Sign Language Recognition Service This is a Sign Language Recognition service utilizing a deep learning model with Long Short-Term Memory to perform s
Document Blur Detection For general blurred image, using the variance of Laplacian operator is a good solution. But as for the blur detection of docum
isearch is an OSINT tool on Instagram. Offers a face recognition reverse image search on Instagram profile feed photos.
Dolly-Zoom I've always been amazed by the gradual perspective change of dolly zoom, and I have some experience in python and OpenCV, so I decided to c
UNIP - Universidade Paulista Ciência da Computação (CC) DESENVOLVIMENTO DE UM SISTEMA COMPUTACIONAL PARA ANÁLISE E CLASSIFICAÇÃO DE FORMAS Link do git
Awesome OCR This list contains links to great software tools and libraries and literature related to Optical Character Recognition (OCR). Contribution
A dataset handling library for computer vision datasets in LOST-fromat
Likert Scoring with Grade Decoupling for Long-term Action Assessment This is the code for CVPR2022 paper "Likert Scoring with Grade Decoupling for Lon
Virtual Keyboard With the virtual keyboard, you can write on the real time images by combining the thumb and index fingers on the letter you want. At
FudanOCR This toolbox contains the implementations of the following papers: Scene Text Telescope: Text-Focused Scene Image Super-Resolution [Chen et a
ST3D Code release for the paper ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection, CVPR 2021 Authors: Jihan Yang*, Shaoshu
Image Thresholding is used for image segmentation. From a grayscale image, thresholding can be used to create binary images. In thresholding we pick a threshold T.
AI-Paper-Collector Web demo: https://ai-paper-collector.vercel.app/ (recommended) Colab notebook: here Motivation Fully-automated scripts for collecti
Merantix-Labs: DAAIN This is the code for our paper DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows which can be found at
napari-crop Crop regions in napari manually Usage Create a new shapes layer to annotate the region you would like to crop: Use the rectangle tool to a
Textline Detection Detect textlines in document images Introduction This tool performs border, region and textline detection from document image data
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