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Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。
[CVPR 2023] Unofficial re-implementation of "WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation".
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
InstantID: Zero-shot Identity-Preserving Generation in Seconds 🔥
Implementations of few-shot object detection benchmarks
[CICAI 2023] The official codes for "Ivygpt: Interactive chinese pathway language model in medical domain"
A generative speech model for daily dialogue.
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
(2020-2022)The PyTorch version of SiamFC，SiamRPN，DaSiamRPN, UpdateNet , SiamDW, SiamRPN++, SiamMask, SiamFC++, SiamCAR, SiamBAN, Ocean, LightTrack , TrTr, NanoTrack; Visual object tracking based on…
Code for the paper "Graph Attention Tracking". (CVPR2021)
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！
OpenMMLab Pre-training Toolbox and Benchmark
OpenMMLab Detection Toolbox and Benchmark
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
📊 Benchmark multiple object trackers (MOT) in Python
YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT
YOLOV5 semi-automatic annotation tool (Based on labelImg)
Measure size of an object (height and width) using a reference object
End-to-End Object Detection with Transformers
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Deep Learning Detector for High Precision Monitoring of Cell Encapsulation Statistics in Microfluidic Droplets
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite