Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
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Updated
Jun 21, 2024 - Python
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Detection models and Python scripts for insect detection on yellow sticky traps.
This is a Fashion-visualizer based on finetuned detectron2 model with iMaterialist FGVC7 dataset
Deploy Computer Vision solutions with a few lines of code.
Free Maplestory Bot 2024
A suite of Python scripts allowing the end-user to use Deep Learning to detect objects in georeferenced raster images.
[CVPR 2024] Official Implementation of Collaborating Foundation models for Domain Generalized Semantic Segmentation
GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation. (CVPR 2021)
A General Tracking Framework for ML-based Time-Symmetric Tracking.
💡💡💡awesome compute vision app in gradio
Amodal Instance Segmentation Toolbox and Benchmark
Implementation of CLAD: A Continual Learning benchmark for Autonomous Driving. A continual classification and detectin track. Provides pure PyTorch, Avalanche and Detectron2 implementations.
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
how to deploy multiple models
A Unified Toolkit for Deep Learning Based Document Image Analysis
A repository for the computer vision team in BYU's record linking lab
This project is a Flask web application that leverages the power of the Detectron2 library for instance segmentation. Traffic Signs images are used for instance segmentation to help driverless cars to identify the signs and make the experience safe and efficient.
This directory is dedicated to the implementation of algorithms aimed at detecting droplets in microfluidic images.
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
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