Popular GitHub Repositories for Pil

The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch

A tensorflow based Faster RCNN inception v2 python model to detect and count humans in real time images, videos & camera.

Data Augmentation For Object Detection using Pytorch and PIL

Convolutional Neural Network for Android using Kivy and NumPy

Python-based tool that converts images into pixel art

This project is an approach to the development of plant disease recognition model, based on leaf image classification, by the use of deep convolutional networks. The developed model is able to recognize 38 different types of plant diseases out of of 14 different plants with the ability to distinguish plant leaves from their surroundings.

This project implements a computer vision-based fall detection system using deep learning techniques. The system can detect whether a person has fallen in images or video frames.

Brain tumor segmentation using YOLOv8 for detection and SAM for precise mask generation on the BraTS 2021 dataset. Includes a Streamlit app for real-time visualization and is ready for deployment.

This project offers a simple and intuitive interface for users to input text and generate images that showcase the text in a handwritten style. The generator supports several stylistic modifications including bold, underline, and color alterations, allowing users to create personalized and visually appealing images from their text.

Implemented a AI based chatbot called HealthGenie.AI, using ChatGPT API, Python and Flask.

LazyUpscalerGui

ScriptAnimator es una herramienta que genera un video de un texto que se escribe automáticamente sobre una imagen de fondo, con resaltado de sintaxis básico para palabras reservadas.

Implementa un sistema para clasificar imágenes en diferentes categorías utilizando técnicas avanzadas de aprendizaje profundo. Combina clasificadores lineales, redes neuronales convolucionales y modelos preentrenados como EfficientNet, con procesamiento y visualización realizados mediante PyTorch.

Hand-Gesture-2-Robot is an image classification vision-language encoder model fine-tuned from google/siglip2-base-patch16-224 for a single-label classification task. It is designed to recognize hand gestures and map them to specific robot commands using the SiglipForImageClassification architecture.

A Python project for converting RGB images to grayscale and binary formats. Uses luminance calculation for grayscale conversion and thresholding for binary conversion. Includes functions to save the processed images. Built with NumPy and PIL (Python Imaging Library).

Система по распознаванию эмоций: классификация эмоций и детектирование (Проект в skillbox)