Computer-Vision-Guide
Computer Vision Guide
https://github.com/mikeroyal/Computer-Vision-Guide
Last synced: 6 days ago
JSON representation
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Augmented Reality (AR) & Virtual Reality (VR)
- ARKit - reality apps for iOS developed by Apple. The latest version ARKit 3.5 takes advantage of the new LiDAR Scanner and depth sensing system on iPad Pro(2020) to support a new generation of AR apps that use Scene Geometry for enhanced scene understanding and object occlusion.
- RealityKit - performance 3D simulation and rendering with information provided by the ARKit framework to seamlessly integrate virtual objects into the real world.
- ARCore
- PlayStation
- SteamVR
- Steam
- OpenVR Benchmark on Steam
- OpenHMD - mounted display) devices such as Oculus Rift, HTC Vive, Sony PSVR, and others.
- openXR - performance access to Augmented Reality (AR) and Virtual Reality (VR) collectively known as XR—platforms and devices.
- Monado - start development of an open source XR ecosystem and provide the fundamental building blocks for device vendors to target the GNU/Linux platform.
- OpenVR
- Libsurvive
- Simula - 638454156)).
- ARCore
- OpenHMD - mounted display) devices such as Oculus Rift, HTC Vive, Sony PSVR, and others.
- OpenVR Benchmark on Steam
- Libsurvive
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Autodesk Learning Resources
- Autodesk
- CNC programming (Computer Numerical Control Programming)
- AutoDesk Learning & Training
- Autodesk Certification
- Autodesk University
- Autodesk Design Academy
- Autodesk Customer Success Hub
- Software and Services for Education | Autodesk Education
- Top Autodesk Courses on Coursera
- AutoDesk Developer Network
- Learning Civil 3D on Autodesk Knowledge Network
- Top Autodesk Courses on Udemy
- Autodesk Customer Success Hub
- AutoDesk Forums
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Autodesk Tools and Frameworks
- Autodesk
- AEC(Architecture, Engineering & Construction) Collection® - based common data environment that facilitates project delivery from early-stage design through to construction.
- Fusion 360®
- Fusion 360 with FeatureCAM®
- Fusion 360 with Netfabb®
- Fusion 360 Manage
- Fusion Team - based coll tool that helps eliminate the inefficiencies that disparate tools create when working with your internal and external teams.
- Fusion 360 with PowerInspect®
- Autodesk
- Fusion 360 with PowerShape®
- Autodesk PartMaker® - spindle machining operations. These can be used for turning, indexed and interpolated C-axis milling, Y-axis, and B-axis milling.
- Robot Structural Analysis Professional - integrated workflows to exchange data with Revit. It can help you to create more resilient, constructible designs that are accurate, coordinated, and connected to BIM.
- Revit LT™ - effective BIM (Building Information Modeling) solution, you can produce high-quality 3D architectural designs and documentation.
- Autodesk
- Maya LT™ - looking characters, props, and environments using the sophisticated 3D modeling and animation tools.
- Autodesk
- Arnold
- ReCap™ - built conditions to gain insights and make better decisions.
- Flame®
- Autodesk
- Character Generator® - based laboratory to create fully rigged 3D characters for animation packages and game engines.
- Smoke® - based compositing tools in a timeline-centered editing environment.
- ShotGrid
- Advance Steel®
- Media & Entertainment Collection®
- Civil 3D®
- Autodesk
- Inventor® CAM - embedded 2.5-axis to 5-axis milling, turning, and mill-turn capabilities.
- Autodesk
- BIM Collaborate Pro - based design collaboration and coordination software that connects AEC teams, helping you execute on design intent and deliver high-quality constructible models on a single platform.
- InfraWorks®
- SketchBook®
- Alias®
- Autodesk® Drive
- Autodesk BIM 360®
- Autodesk® Build
- BuildingConnected - time construction network that connects owners and builders through an easy-to-use platform to streamline the bid and risk management process.
- Design Review
- EAGLE
- Helius PFA
- PlanGrid Build
- Within Medical®
- CAMplete - code post-processing, verification, and simulation for different kinds of CNC machinery. Import data from leading CAM software then use proven post-processors and highly accurate 3D machine models, developed in partnership with machine tool builders, to rapidly produce high-quality, collision free NC machining code.
- Vault PLM - wide collaboration and product lifecycle management.
- Tinkercad® - to-use app for 3D design, electronics, and coding. It's used by teachers, kids, hobbyists, and designers to imagine, design, and make anything.
- Product Design & Manufacturing Collection - grade applications that connect everyone, from concept to production, with shared tools to streamline your product development process.
- Autodesk® CFD
- Moldflow®
- Structural Bridge Design® - span bridges used by engineers to deliver design reports faster.
- Vault®
- Vehicle Tracking®
- VRED® - rendering modes.
- Pype Closeout
- Autodesk® Rendering - resolution cloud rendering software that let's you produce stunning, high-quality renderings from designs and models with cloud rendering. This service uses cloud credits, which is a universal measure across Autodesk consumption-based cloud services to perform certain tasks in the cloud.
- Autodesk® Viewer
- Formit - based 3D sketching. The pro version of FormIt includes the tools in the FormIt app, plus Dynamo computation, and collaboration and analysis features.
- Helius Composite - in solvers minimize the need to have secondary finite element analysis (FEA) software to analyze material characteristics more quickly.
- Assemble BIM Data - in-place tracking, and more.
- Autodesk® Forge - based developer platform from Autodesk. That let's you access design and engineering data in the cloud with the Forge platform. Whether you want to automate processes, connect teams and workflows, or visualize your data using Forge APIs.
- Pype
- AutoCAD LT® - aided design (CAD) software that architects, engineers, construction professionals, and designers rely on to design, draft, and document with precise 2D geometry.
- AutoCAD® Mobile App
- AutoCAD® Web App
- Revit®
- Autodesk
- Inventor Nastran® - embedded finite element analysis software that delivers finite element analysis (FEA) tools for engineers and analysts. Simulation covers multiple analysis types, such as linear and nonlinear stress, dynamics, and heat transfer.
- Inventor® Nesting - embedded, true-shape nesting tools for Inventor that helps you optimize yield from flat raw material. Easily compare nesting studies to optimize efficiency and reduce costs, and export 3D models or DXF™ files of the completed nest for cutting path generation.
- Inventor Tolerance Analysis® - embedded tolerance stackup analysis software that is designed to help Inventor users make more informed decisions while specifying manufacturing tolerances.
- Autodesk® Takeoff
- Bid Board Pro
- TradeTapp
- Fabrication ESTmep™, CADmep™, and CAMduct™ - alone or in the Architecture, Engineering & Construction Collection..
- HSMWorks - embedded 2.5 to 5-axis milling, turning, and mill-turn capabilities. HSMWorks is included with your Fusion 360 subscription.
- Insight - efficient buildings with advanced simulation engines and building performance analysis data integrated in Revit.
- MotionBuilder®
- Point Layout
- PlanGrid Build
- Pype SmartPlans
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C/C++ Learning Resources
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viii. Linear Regression
- C - purpose, high-level language that was originally developed by Dennis M. Ritchie to develop the UNIX operating system at Bell Labs. It supports structured programming, lexical variable scope, and recursion, with a static type system. C also provides constructs that map efficiently to typical machine instructions, which makes it one was of the most widely used programming languages today.
- Embedded C - committee) to address issues that exist between C extensions for different [embedded systems](https://en.wikipedia.org/wiki/Embedded_system). The extensions hep enhance microprocessor features such as fixed-point arithmetic, multiple distinct memory banks, and basic I/O operations. This makes Embedded C the most popular embedded software language in the world.
- C & C++ Developer Tools from JetBrains
- Open source C++ libraries on cppreference.com
- C++ Graphics libraries
- C++ Libraries in MATLAB
- Google C++ Style Guide
- Introduction C++ Education course on Google Developers
- C++ style guide for Fuchsia
- Chromium C++ Style Guide
- C++ Core Guidelines
- C++ Style Guide for ROS
- Learn C++
- Learn C : An Interactive C Tutorial
- C++ Online Training Courses on LinkedIn Learning
- C++ Tutorials on W3Schools
- Learn C Programming Online Courses on edX
- Learn C++ with Online Courses on edX
- Learn C++ on Codecademy
- Coding for Everyone: C and C++ course on Coursera
- C++ For C Programmers on Coursera
- C++ Online Courses on Udemy
- Top C Courses on Udemy
- Basics of Embedded C Programming for Beginners on Udemy
- C++ For Programmers Course on Udacity
- C++ Fundamentals Course on Pluralsight
- C++ - platform language that can be used to build high-performance applications developed by Bjarne Stroustrup, as an extension to the C language.
- C++ Tools and Libraries Articles
- C++ Style Guide for ROS
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C/C++ Tools and Frameworks
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viii. Linear Regression
- AWS SDK for C++
- Visual Studio - rich application that can be used for many aspects of software development. Visual Studio makes it easy to edit, debug, build, and publish your app. By using Microsoft software development platforms such as Windows API, Windows Forms, Windows Presentation Foundation, and Windows Store.
- Visual Studio Code
- ReSharper C++
- AppCode - fixes to resolve them automatically. AppCode provides lots of code inspections for Objective-C, Swift, C/C++, and a number of code inspections for other supported languages. All code inspections are run on the fly.
- CLion - platform IDE for C and C++ developers developed by JetBrains.
- Code::Blocks
- Conan
- High Performance Computing (HPC) SDK
- Boost - edge C++. Boost has been a participant in the annual Google Summer of Code since 2007, in which students develop their skills by working on Boost Library development.
- Automake
- Cmake - source, cross-platform family of tools designed to build, test and package software. CMake is used to control the software compilation process using simple platform and compiler independent configuration files, and generate native makefiles and workspaces that can be used in the compiler environment of your choice.
- GDB
- GCC - C, Fortran, Ada, Go, and D, as well as libraries for these languages.
- GSL - squares fitting. There are over 1000 functions in total with an extensive test suite.
- OpenGL Extension Wrangler Library (GLEW) - platform open-source C/C++ extension loading library. GLEW provides efficient run-time mechanisms for determining which OpenGL extensions are supported on the target platform.
- Libtool
- Maven
- TAU (Tuning And Analysis Utilities) - based sampling. All C++ language features are supported including templates and namespaces.
- Clang - C, C++ and Objective-C++ compiler when targeting X86-32, X86-64, and ARM (other targets may have caveats, but are usually easy to fix). Clang is used in production to build performance-critical software like Google Chrome or Firefox.
- OpenCV - time applications. Cross-Platform C++, Python and Java interfaces support Linux, MacOS, Windows, iOS, and Android.
- ANTLR (ANother Tool for Language Recognition)
- Oat++ - efficient web application. It's zero-dependency and easy-portable.
- Cython
- Infer - C, and C. Infer is written in [OCaml](https://ocaml.org/).
- Azure SDK for C++
- Azure SDK for C
- C++ Client Libraries for Google Cloud Services
- Vcpkg
- CppSharp
- JavaCPP
- Spdlog - only/compiled, C++ logging library.
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CUDA Learning Resources
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viii. Linear Regression
- CUDA - accelerated applications, the sequential part of the workload runs on the CPU, which is optimized for single-threaded. The compute intensive portion of the application runs on thousands of GPU cores in parallel. When using CUDA, developers can program in popular languages such as C, C++, Fortran, Python and MATLAB.
- CUDA Toolkit Documentation
- CUDA Quick Start Guide
- CUDA on WSL
- NVIDIA Deep Learning cuDNN Documentation
- CUDA GPU support for TensorFlow
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CUDA Tools Libraries, and Frameworks
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viii. Linear Regression
- NVIDIA cuDNN - accelerated library of primitives for [deep neural networks](https://developer.nvidia.com/deep-learning). cuDNN provides highly tuned implementations for standard routines such as forward and backward convolution, pooling, normalization, and activation layers. cuDNN accelerates widely used deep learning frameworks, including [Caffe2](https://caffe2.ai/), [Chainer](https://chainer.org/), [Keras](https://keras.io/), [MATLAB](https://www.mathworks.com/solutions/deep-learning.html), [MxNet](https://mxnet.incubator.apache.org/), [PyTorch](https://pytorch.org/), and [TensorFlow](https://www.tensorflow.org/).
- Chainer - based deep learning framework aiming at flexibility. It provides automatic differentiation APIs based on the define-by-run approach (dynamic computational graphs) as well as object-oriented high-level APIs to build and train neural networks. It also supports CUDA/cuDNN using [CuPy](https://github.com/cupy/cupy) for high performance training and inference.
- CUDA Toolkit - accelerated applications. The CUDA Toolkit allows you can develop, optimize, and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise data centers, cloud-based platforms and HPC supercomputers. The toolkit includes GPU-accelerated libraries, debugging and optimization tools, a C/C++ compiler, and a runtime library to build and deploy your application on major architectures including x86, Arm and POWER.
- CUDA-X HPC - X HPC includes highly tuned kernels essential for high-performance computing (HPC).
- CuPy - compatible multi-dimensional array on CUDA. CuPy consists of the core multi-dimensional array class, cupy.ndarray, and many functions on it. It supports a subset of numpy.ndarray interface.
- cuDF - like API that will be familiar to data engineers & data scientists, so they can use it to easily accelerate their workflows without going into the details of CUDA programming.
- ArrayFire - purpose library that simplifies the process of developing software that targets parallel and massively-parallel architectures including CPUs, GPUs, and other hardware acceleration devices.
- AresDB - powered real-time analytics storage and query engine. It features low query latency, high data freshness and highly efficient in-memory and on disk storage management.
- NVIDIA Container Toolkit - container) and utilities to automatically configure containers to leverage NVIDIA GPUs.
- CUTLASS - performance matrix-multiplication (GEMM) at all levels and scales within CUDA. It incorporates strategies for hierarchical decomposition and data movement similar to those used to implement cuBLAS.
- CUB
- Thrust - level interface greatly enhances programmer productivity while enabling performance portability between GPUs and multicore CPUs.
- Arraymancer - dimensional array) project in Nim. The main focus is providing a fast and ergonomic CPU, Cuda and OpenCL ndarray library on which to build a scientific computing ecosystem.
- Kintinuous - time dense visual SLAM system capable of producing high quality globally consistent point and mesh reconstructions over hundreds of metres in real-time with only a low-cost commodity RGB-D sensor.
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Game Development Learning Resources
- Unreal Online Learning - on video courses and guided learning paths.
- Unreal Engine Authorized Training Program
- Unreal Engine for education
- Unreal Engine Training & Simulation
- Unity Certifications
- Autodesk for Games
- Getting Started with DirectX 12 Ultimate
- Game Design Online Courses from Udemy
- Game Design Online Courses from Skillshare
- Learn Game Design with Online Courses and Classes from edX
Categories
Robotics Tools and Frameworks
149
Autodesk Tools and Frameworks
78
R Tools, Libraries, and Frameworks
45
Game Development Tools
37
C/C++ Tools and Frameworks
32
MATLAB Tools, Libraries, Frameworks
30
C/C++ Learning Resources
29
ML Frameworks, Libraries, and Tools
28
Python Frameworks, Libraries, and Tools
24
Photogrammetry Tools, Libraries, and Frameworks
24
LiDAR Tools & Frameworks
18
Augmented Reality (AR) & Virtual Reality (VR)
17
Game Development Learning Resources
16
Robotics Learning Resources
15
Learning Resources for ML
15
MATLAB Learning Resources
14
CUDA Tools Libraries, and Frameworks
14
Autodesk Learning Resources
14
Python Learning Resources
12
LiDAR Learning Resources
12
R Learning Resources
11
Photogrammetry Learning Resources
10
Game Engines
7
CUDA Learning Resources
6
Robotic Arms & Dev Kits
3
License
1
Sub Categories
viii. Linear Regression
345
vi. Determinants
2
v. Fundamental vector spaces
2
iv. Row space, columns space, and rank of a matrix
2
i. Basis
2
i. Using row operations
2
iv. Linear transformations
2
iii. Matrix-vector product
2
i. Vector operations
2
i. Solving systems of equations
2
ii. Systems of equations as matrix equations
2
ii. Matrix operations
2
iii. Dimension and Basis for Vector Spaces
1
iii. Transpose of a Matrix
1
vii. Eigenvalues and eigenvectors
1
ii. Matrix representations of linear transformations
1
ii. Using elementary matrices
1
Keywords
python
14
deep-learning
9
cpp
8
cuda
8
machine-learning
7
ros
7
gpu
6
nvidia
4
cross-platform
4
azure
4
computer-vision
4
data-science
4
julia
4
game-development
3
game-engine
3
gamedev
3
cpp11
3
windows
3
neural-networks
3
cpp14
3
c
3
tensorflow
3
pytorch
3
deep-reinforcement-learning
3
matlab
3
artificial-intelligence
3
ai
3
c-plus-plus
3
neural-network
3
cxx14
3
alicevision
2
visualization
2
azure-sdk
2
camera-tracking
2
research
2
iot
2
statistics
2
tensor
2
cxx
2
meshroom
2
docker
2
autonomous-vehicles
2
ros2
2
cpp20
2
cxx11
2
simulator
2
structure-from-motion
2
self-driving-car
2
photogrammetry
2
nvidia-hpc-sdk
2