Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-cv
Collection of useful sources that related to computer vision mostly.
https://github.com/Ertugrul-Kurubal/awesome-cv
- Computer Vision for Visual Effects (ECSE-6969) Lectures Spring 2014
- The Ancient Secrets of Computer Vision
- First Principles of Computer Vision Youtube Channel
- Autonomous Vision Group, CVPR 2020 Keynote Talks
- Intro to Digital Image Processing (ECSE-4540) Lectures, Spring 2015
- Image Processing: What are occlusions?
- Ordering coordinates clockwise with Python and OpenCV
- OpenCV Object Tracking
- Principal Component Analysis
- Optical Flow in OpenCV (C++/Python)
- Faster alternatives for calcOpticalFlowSF
- Principal Component Analysis | LearnOpenCV
- Machine Learning & Deep Learning Fundamentals
- Dive into Deep Learning
- Deep Learning Materials by Deep Learning Wizard
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
- Awesome-Pytorch-list
- Intuitively Understanding Convolutions for Deep Learning
- Lecture Collection | Convolutional Neural Networks for Visual Recognition (Spring 2017)
- How Convolutional Neural Networks work
- How convolutional neural networks work, in depth
- Convolutional Neural Networks for Visual Recognition (Spring 2017)
- What is the vanishing gradient problem?
- Deep Residual Learning for Image Recognition (Paper Explained)
- Convolution arithmetic
- A Gentle Introduction to Batch Normalization for Deep Neural Networks
- A Friendly Introduction to Generative Adversarial Networks
- Image Deblurring using Generative Adversarial Networks
- Recurrent Neural Networks - EXPLAINED!
- MIT 6.S191: Recurrent Neural Networks
- Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)
- An introduction to ConvLSTM
- What is the difference between ConvLSTM and CNN LSTM?
- Video Classification with CNN, RNN, and PyTorch
- PyTorch Implementation of ConvLSTM Cell
- Zero to Hero: Guide to Object Detection using Deep Learning: Faster R-CNN,YOLO,SSD
- Non-maximum Suppression (NMS)
- Selective Search for Object Detection | R-CNN
- PyTorch Tutorial to Object Detection.(SSD)
- Object Detection Accuracy (mAP) Cheat Sheet
- Tackling the Small Object Problem in Object Detection
- YOLOv4 - Ten Tactics to Build a Better Model
- The Power of Tiling for Small Object Detection
- An Improved Faster R-CNN for Small Object Detection
- Real-time Hand-Detection using Neural Networks (SSD) on Tensorflow
- Object Detection with RetinaNet(Keras)
- Real time human head pose estimation using TensorFlow and OpenCV
- GazeFollow: Where are they looking?(2015)
- Where are they looking? PyTorch Implementation
- Believe It or Not, We Know What You Are Looking at!(Paper-2018)
- Believe It or Not, We Know What You Are Looking at!(PyTorch Implementation)
- Middlebury Stereo Datasets
- VisDrone Aerial Dataset
- HMDB: a large human motion database
- UCF101 – Action Recognition Data Set
- CelebFaces Attributes Dataset (CelebA)
- Kinetics: large-scale, high-quality human actions dataset
- Angle of view
- What Is Exposure? (A Beginner’s Guide)
- Rolling Shutter vs Global Shutter: What’s the difference?
- EXPOSURE TRIANGLE: APERTURE, ISO & SHUTTER SPEED
- What are Global Shutter and Rolling shutter? How to choose the one that fits the application?
- What Is Focal Length in Photography?
- Focal Length vs Effective Focal Length
- What is a pinhole camera?
- What is Lens Distortion?
- Object Distance Measurement By Stereo Vision
- Variants of depth cameras
- Image Rectification
- ActiveStereoNet: The first deep learning solution for active stereo systems
- What Is Camera Calibration?
- Camera Calibration Video Series
- CS6320: 3D Computer Vision Project 2 Stereo and 3D Reconstruction from Disparity
- 3D, Depth Perception, and Stereo(The Ancient Secrets of Computer Vision )
- A High-Precision Calibration Method for Stereo Vision System
- Epipolar geometry
- Stereo Correspondence Algorithms
- Middlebury Stereo Vision Page
- Multiple View Geometry in Computer Vision Second Edition
- A video that includes techniques for improvement accuracy of stereo system precision
- How to verify the correctness of calibration of a webcam?
- Is reprojection error enough in stereo calibration?
- Does a smaller reprojection error always means better calibration?
- What to Expect from a Stereo Vision System
- The Depth I: Stereo Calibration and Rectification(OpenCV)
- The Depth II: Block Matching(OpenCV)
- Calibration of Stereo Cameras for Mobile Robots
- Disparity map post-filtering
- Effect of Baseline On Stereo Vision Systems
- How field of view changes depth estimation in stereo vision?
- Design parameters for adjusting the visual field of binocular stereo cameras
- Large-Field-of-View Stereo for Automotive Applications
- CVFX Lecture 24: Structured light scanning
- Third Dimension Youtube Channel
- Udacity Structured light
- I3D Past Projects Youtube Channel
- FabScan PI - An Open-Source 3D Laser Scanner
- Zhaoyang Wang's Homepage
- AliceVision Framework
- PCL(Point Cloud Library)
- Open3D: A Modern Library for 3D Data Processing
- Andreas Geiger Youtube Channel
- 3d Scan Anything Using Just a Camera
- Deep Learning for “Exotic” Data Like 3D Meshes and Point-Clouds
- GStreamer Tutorials
- Repo of collected sources and projects related to GStreamer
- FFmpeg plugin for Flutter
- Gstreamer command-line cheat sheet
- GStreamer UDP stream examples
- Install All Essential Media Codecs in Ubuntu With This Single Command
- What’s the Difference Between Codecs & Containers?
- Gstreamer basic real time streaming tutorial
- Stream Video using Gstreamer RTSP Server
- The All You Need Guide to Video Codecs and Compression
- Accelerated GStreamer User Guide
- How to Build Gstreamer RTSP Server
- How to make a Raspberry Pi an RTSP streamer and how to consume this?
- How to setup an RTSP server on Headless Raspberry Pi and stream RPi Camera data using GStreamer?
- Video streaming from Raspberry PI - Python vs. raspivid + netcat
- complete list of ffmpeg flags / commands
- Eigenvectors and eigenvalues
- Optimizing TensorFlow Models for Serving (Google Cloud AI Huddle)
- Implementing YOLOv4 with TensorFlow, TFLite and TensorRT
- How to Build Object Detection APIs Using TensorFlow and Flask
- An introduction to MLOps on Google Cloud
- Accelerating Machine Learning App Development with Kubeflow Pipelines (Cloud Next '19)
- TensorFlow Lite Flutter Plugin
- FFmpeg plugin for Flutter
- NVIDIA Jetson Nano and NVIDIA Jetson AGX Xavier for Kubernetes (K8s) and machine learning (ML) for smart IoT
- Submit it!: a lightweight tool for submitting Python functions for computation within a Slurm cluster
- Eclipse Mosquitto - An open source MQTT broker
- MQTT client/broker using Python asynchronous I/O
- Zetta: An API-first, open source software platform for the Internet of Things.
- Interfaces and Metaclasses in Python
- Actor Model Design Pattern(Python)
- Renaming files in a folder to sequential numbers
- How to Connect to a Raspberry Pi Remotely via SSH
- DebuggingWithGdb
- How to fix a broken package, when “apt-get install -f” does not work?
- Linux From Scratch
- How do I make a RAM disk?
- Better Than Top: 7 System Monitoring Tools for Linux to Keep an Eye on Vital System Stats
- Sharing WiFi Connection over Ethernet on Ubuntu 18.04
- How to check if port is in use on Linux or Unix
- Optuna - A hyperparameter optimization framework
- A Neural Network Playground
- Make Sense - Image Annotation Tool
- Netron - Neural Network Viewer
- Lens Focal Length and Stereo Baseline Calculator
- Lightning: The ultimate PyTorch research framework
- FiftyOne: The open-source tool for building high-quality datasets and computer vision models
- youtube-dl: Command-line program to download videos from YouTube.com and other video sites
- Human Vision
- Mercedes-Benz MAGIC BODY CONTROL | S-Class
- How AI Powers Self-Driving Tesla with Elon Musk and Andrej Karpathy
- Andrej Karpathy - AI for Full-Self Driving at Tesla
- OpenPilot
- Yannic Kilcher Youtube Channel
Keywords
deep-learning
6
pytorch
6
computer-vision
6
python
5
neural-network
3
machine-learning
3
object-detection
2
raspberry-pi
2
data-science
2
ssd
2
convolutional-neural-networks
2
tensorflow
2
image-manipulation
1
gan
1
deblurring
1
convolutional-networks
1
blurry-images
1
utility-library
1
tutorials
1
pytorch-tutorials
1
pytorch-model
1
probabilistic-programming
1
papers
1
data-quality
1
data-curation
1
data-cleaning
1
data-centric-ai
1
artificial-intelligence
1
active-learning
1
time-series
1
spatio-temporal
1
rnn
1
pytorch-implementation
1
lstm
1
gru
1
encoder-decoder
1
convlstm
1
convgru
1
pix2pix
1
paper
1
image-to-image-translation
1
wavpack
1
vp9
1
vp8
1
speex
1
opencore-amr
1
libvpx
1
libvorbis
1
libtheora
1
libass
1