An annotation and instance segmentation-based multiple animal tracking and behavior analysis package.

Free Maplestory Bot 2024

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

A General Tracking Framework for ML-based Time-Symmetric Tracking.

This is a Fashion-visualizer based on finetuned detectron2 model with iMaterialist FGVC7 dataset

This project uses image processing to measure the size and distance of objects, focusing on veggies without physical contact. It integrates AI and IT to improve agricultural efficiency. The use of modified Canny edge detection and Multiscale Faster-NN algorithms enables real-time measurement and flaw identification.

💡💡💡awesome compute vision app in gradio

Deploy Computer Vision solutions with a few lines of code.

Amodal Instance Segmentation Toolbox and Benchmark

A real-time application to monitor leopard in urban or rural areas.

Implementation of CLAD: A Continual Learning benchmark for Autonomous Driving. A continual classification and detectin track. Provides pure PyTorch, Avalanche and Detectron2 implementations.

A suite of Python scripts allowing the end-user to use Deep Learning to detect objects in georeferenced raster images.

一份关于detectron2的入门级(训练+预测)的代码demo（目标检测/实例分割/全景分割........）；An entry-level (training + prediction) code demo for detectron2 (object detection/instance segmentation/panoramic segmentation...)

Drone Instance Segmentation using Mask RCNNN

My Deep Learning Projects (Classification, Segmentation, Object Detection, NLP, Deep Multiple Instance Learning)

This is Pytorch re-implementation of the ICCV 2023 paper "Segmenting Known Objects and Unseen Unknowns without Prior Knowledge" (https://arxiv.org/abs/2209.05407)

将fiftyone集成到detectron2框架，用于评估模型的性能，并开发缺陷检测平台

Officiel implementation of the paper " FlightScope: A Deep Comprehensive Assessment of Aircraft Detection Algorithms in Satellite Imagery "

This repository presents a comprehensive solution for teeth segmentation on dental X-ray images using the powerful Detectron2 framework. With the increasing demand for automated dental image analysis, accurate segmentation of teeth is crucial for various applications in dentistry, including diagnosis, treatment planning, and research.

A deep learning approach for buildings segmentation using detectron2 model developed by facebook research group (META)