* [ CV-pretrained-model ](https://github.com/balavenkatesh3322/CV-pretrained-model) \- A collection of computer vision pre-trained models. 
  * [ image_pipeline ](https://github.com/ros-perception/image_pipeline) \- Fills the gap between getting raw images from a camera driver and higher-level vision processing. 
  * [ gstreamer ](https://gstreamer.freedesktop.org/) \- A pipeline-based multimedia framework that links together a wide variety of media processing systems to complete complex workflows. 
  * [ ros2_openvino_toolkit ](https://github.com/intel/ros2_openvino_toolkit) \- Provides a ROS-adaptered runtime framework of neural network which quickly deploys applications and solutions for vision inference. 
  * [ vision_visp ](https://github.com/lagadic/vision_visp) \- Wraps the ViSP moving edge tracker provided by the ViSP visual servoing library into a ROS package. 
  * [ apriltag_ros ](https://github.com/AprilRobotics/apriltag_ros) \- A ROS wrapper of the AprilTag 3 visual fiducial detector. 
  * [ deep_object_pose ](https://github.com/NVlabs/Deep_Object_Pose) \- Deep Object Pose Estimation. 
  * [ DetectAndTrack ](https://github.com/facebookresearch/DetectAndTrack) \- Detect-and-Track: Efficient Pose. 
  * [ SfMLearner ](https://github.com/tinghuiz/SfMLearner) \- An unsupervised learning framework for depth and ego-motion estimation. 
  * [ imgaug ](https://github.com/aleju/imgaug) \- Image augmentation for machine learning experiments. 
  * [ vision_opencv ](https://github.com/ros-perception/vision_opencv) \- Packages for interfacing ROS with OpenCV, a library of programming functions for real time computer vision. 
  * [ darknet_ros ](https://github.com/leggedrobotics/darknet_ros) \- YOLO ROS: Real-Time Object Detection for ROS. 
  * [ ros_ncnn ](https://github.com/nilseuropa/ros_ncnn) \- YOLACT / YOLO _( among other things )_ on NCNN inference engine for ROS. 
  * [ tf-pose-estimation ](https://github.com/ildoonet/tf-pose-estimation) \- Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference. 
  * [ find-object ](https://github.com/introlab/find-object) \- Simple Qt interface to try OpenCV implementations of SIFT, SURF, FAST, BRIEF and other feature detectors and descriptors. 
  * [ yolact ](https://github.com/dbolya/yolact) \- A simple, fully convolutional model for real-time instance segmentation. 
  * [ Kimera-Semantics ](https://github.com/MIT-SPARK/Kimera-Semantics) \- Real-Time 3D Semantic Reconstruction from 2D data. 
  * [ detectron2 ](https://github.com/facebookresearch/detectron2) \- A next-generation research platform for object detection and segmentation. 
  * [ OpenVX ](https://www.khronos.org/openvx/) \- Enables performance and power-optimized computer vision processing, especially important in embedded and real-time use cases. 
  * [ 3d-vehicle-tracking ](https://github.com/ucbdrive/3d-vehicle-tracking) \- Official implementation of Joint Monocular 3D Vehicle Detection and Tracking. 
  * [ pysot ](https://github.com/STVIR/pysot) \- The goal of PySOT is to provide a high-quality, high-performance codebase for visual tracking research. 
  * [ semantic_slam ](https://github.com/floatlazer/semantic_slam) \- Real time semantic slam in ROS with a hand held RGB-D camera. 
  * [ kitti_scan_unfolding ](https://github.com/ltriess/kitti_scan_unfolding) \- We propose KITTI scan unfolding in our paper Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental Study. 
  * [ packnet-sfm ](https://github.com/TRI-ML/packnet-sfm) \- Official PyTorch implementation of self-supervised monocular depth estimation methods invented by the ML Team at Toyota Research Institute (TRI). 
  * [ AB3DMOT ](https://github.com/xinshuoweng/AB3DMOT) \- This work proposes a simple yet accurate real-time baseline 3D multi-object tracking system. 
  * [ monoloco ](https://github.com/vita-epfl/monoloco) \- Official implementation of "MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation" in PyTorch. 
  * [ Poly-YOLO ](https://gitlab.com/irafm-ai/poly-yolo) \- Builds on the original ideas of YOLOv3 and removes two of its weaknesses: a large amount of rewritten labels and inefficient distribution of anchors. 
  * [ satellite-image-deep-learning ](https://github.com/robmarkcole/satellite-image-deep-learning) \- Resources for deep learning with satellite & aerial imagery. 
  * [ robosat ](https://github.com/mapbox/robosat) \- Semantic segmentation on aerial and satellite imagery. 
  * [ big_transfer ](https://github.com/google-research/big_transfer) \- Model for General Visual Representation Learning created by Google Research. 
  * [ LEDNet ](https://github.com/xiaoyufenfei/LEDNet) \- A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation. 
  * [ TorchSeg ](https://github.com/ycszen/TorchSeg) \- This project aims at providing a fast, modular reference implementation for semantic segmentation models using PyTorch. 
  * [ simpledet ](https://github.com/tusimple/simpledet) \- A Simple and Versatile Framework for Object Detection and Instance Recognition. 
  * [ meshroom ](https://github.com/alicevision/meshroom) \- Meshroom is a free, open-source 3D Reconstruction Software based on the AliceVision Photogrammetric Computer Vision framework. 
  * [ EasyOCR ](https://github.com/JaidedAI/EasyOCR) \- Ready-to-use Optical character recognition (OCR) with 40+ languages supported including Chinese, Japanese, Korean and Thai. 
  * [ pytracking ](https://github.com/visionml/pytracking) \- A general python framework for visual object tracking and video object segmentation, based on PyTorch. 
  * [ ros_deep_learning ](https://github.com/dusty-nv/ros_deep_learning) \- Deep learning inference nodes for ROS with support for NVIDIA Jetson TX1/TX2/Xavier and TensorRT. 
  * [ hyperpose ](https://github.com/tensorlayer/hyperpose) \- HyperPose: A Flexible Library for Real-time Human Pose Estimation. 
  * [ fawkes ](https://github.com/Shawn-Shan/fawkes) \- Privacy preserving tool against facial recognition systems. 
  * [ anonymizer ](https://github.com/understand-ai/anonymizer) \- An anonymizer to obfuscate faces and license plates.