Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
- object-detection
- instance-segmentation
- faster-rcnn
- mask-rcnn
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Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
"Single-image Layer Decomposition for Anime Characters" (SIGGRAPH 2026 Conference Paper)
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
A Simple and Versatile Framework for Object Detection and Instance Recognition
Using modified BiSeNet for face parsing in PyTorch
A Unified Face Analysis Library for Python
A CV toolkit for my papers.
Automatically "block" people in images (like Black Mirror) using a pretrained neural network.
[CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3). Also a pip-installable PyTorch + Triton package with pretrained Sonata, Concerto, and Utonia encoders.
[CVPR 2023] OneFormer: One Transformer to Rule Universal Image Segmentation
Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds
Pyramid Scene Parsing Network, CVPR2017.
Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
NeurIPS 2024 Paper: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing
CellViT: Vision Transformers for Precise Cell Segmentation and Classification
Deep and Machine Learning for Microscopy
Collection of mathematical morphology methods and plugins for ImageJ
Agent skill: outline, mask and count objects in photos with Meta's SAM 3 on your own NVIDIA GPU, with review, exports and a viewer. Works with Claude Code, Codex, Cursor, Pi and other Agent Skills clients.
A versatile, fully open-source pipeline to extract phenotypic measurements from plant images