Tiziran

  • Artificial General Intelligence (AGI)

  • Medical Image Processing

  • Robotic

  • AR, VR, extended reality

  • 3D SLAM

  • Computer Vision in IoT

  • Performance engineering in deep learning applications

  • End-to-End pipeline for machine learning programs


deliver end-to-end hyper-automation solutions using computer vision & deep learning to enable AI-Powered Enterprise

orchestration of various technologies and workflows to streamline and execute a process automatically

The Most Visited Pages ( September 2022)

Site Map

https://www.tiziran.com/about

https://www.tiziran.com/about/commonplace-book

https://www.tiziran.com/about/quantum-computing

https://www.tiziran.com/describe

https://www.tiziran.com/describe/altcoin

https://www.tiziran.com/describe/book-summary

https://www.tiziran.com/describe/compile

https://www.tiziran.com/describe/fqa

https://www.tiziran.com/describe/how-to-start

https://www.tiziran.com/describe/how-to-start/youtube

https://www.tiziran.com/describe/how-to-start/youtube-ii

https://www.tiziran.com/describe/python

https://www.tiziran.com/describe/reading-list

https://www.tiziran.com/describe/resume_cv

https://www.tiziran.com/describe/share

https://www.tiziran.com/describe/source-code

https://www.tiziran.com/links

https://www.tiziran.com/topics

https://www.tiziran.com/topics/camera_calibration

https://www.tiziran.com/topics/courses

https://www.tiziran.com/topics/courses/cloud-native

https://www.tiziran.com/topics/courses/cpp

https://www.tiziran.com/topics/courses/full-stack-deep-learning

https://www.tiziran.com/topics/courses/machine-learning-specialization

https://www.tiziran.com/topics/courses/machine-learning-specialization/machine-learning-foundations-a-case-study-approach

https://www.tiziran.com/topics/courses/mlops

https://www.tiziran.com/topics/courses/parallel-programming

https://www.tiziran.com/topics/courses/ros

https://www.tiziran.com/topics/drl

https://www.tiziran.com/topics/events

https://www.tiziran.com/topics/events/ai-hardware

https://www.tiziran.com/topics/events/edge-ai-summit

https://www.tiziran.com/topics/events/embedded-iot

https://www.tiziran.com/topics/events/metaverse

https://www.tiziran.com/topics/events/openvino-deep-learning

https://www.tiziran.com/topics/events/risc-v

https://www.tiziran.com/topics/events/tesla

https://www.tiziran.com/topics/hardware

https://www.tiziran.com/topics/opencv

https://www.tiziran.com/topics/video-tracking

Open Source Projects

OpenCV NuGet

https://www.nuget.org/profiles/Farshid_Pirahansiah

NuGet packages for OpenCV 5 - Static Library for Visual Studio 2019 and 2022

https://www.tiziran.com/topics/opencv

Install and setup your OpenCV project in just 5 minutes

Config your visual studio project for computer vision application

static OpenCV library for visual studio 2022 by using NuGet package manager just in a few minutes

https://www.youtube.com/watch?v=AEqZO_fZHZ8

#YouTube #OpenCV5 #cpp #vs22

Test, C++, Computer Vision, Image Processing,

download source code (GitHub): https://github.com/pirahansiah/

#OpenCV #Farshid_PirahanSiah #tiziran

My NuGet packages comprised of two versions for different VS versions.

more: https://www.tiziran.com/topics/opencv

cvTest

cvtest: Computer Vision Test: Unit Test, Integration Test, System Test, Acceptance Test for Computer Vision and Deep Learning

Do you want to test your output of computer vision application which is video or images?

Standard test for computer vision application

There isn't any standard test for computer vision program. I wrote many test by myself and I would like to share some of them here. For example, I write a program to test docker and check the processing time, memory usage, CPU usage, etc. In computer vision application sometime you need to check the output which is the image. How do you want to check it. I write some program to check the output which is the image and compare the ground truth. I check some well known methods such as PSNR, SSIM, Image quality, distortion, brightness, sharpness, etc. Furthermore, I check much different hardware and write some test for computer vision application base on different hardware architecture and Evaluation hardware.

Do you want to know your program Automatically adjusting brightness of image in the right way?, How do you know using generic sharpening kernel to remove blurriness is working?, How to do check FPS process?, Which OCR system work better for your input image?

https://github.com/pirahansiah/cvtest/blob/main/README.md

Multi-Class Multi-object Video Tracking

https://www.tiziran.com/topics/video-tracking

computer vision with deep learning in IoT devices

https://www.tiziran.com/topics/hardware

Multi Camera (Stereo Vision) Calibration for AR/VR headset (extended reality/mixed reality) 3D Image Processing with Deep Learning

https://www.tiziran.com/topics/camera_calibration

End to End solution for computer vision applications in industry (cloud and IoT)

https://www.tiziran.com/topics/courses/mlops

Download all mind map sources

https://github.com/tiziran/tiziran.github.io

LinkedIn: (around 11K members)

Computer Vision, Deep Learning, Deep Reinforcement Learning, GANs, OpenCV, Caffe, TensorFlow,PyTorch

The Computer Vision LinkedIn group: reached to around 8000 members. This group is a wonderful place for support if you have a question, need inspiration, encouragement, and cutting edge research. Computer Vision, Deep Learning, extended reality; Metaverse; Deep Reinforcement Learning, GANs, OpenCV, TensorFlow, PyTorch.

https://www.linkedin.com/groups/10320678/


Facebook Group: (around 15K members)

Deep Reinforcement Learning, Computer Vision with Deep Learning, IoT, Robot

https://www.facebook.com/groups/185926728115336


Follow me on twitter @pirahansiah

We help scale and build artificially intelligent driven start-ups with Al Researchers & Engineers! [Computer Vision] (Berlin, Germany)

Please use calendly appointment slots



press . in github and open web visual studio code

My LaTex Papers https://www.overleaf.com/read/cmvgxfqxfdqm

This site is provided to everyone for free, however if you would like to say thanks or help support continued R&D, Mind Map, development and etc. , consider getting me a coffee. It keeps my work going.