AI, Python, Cognitive Neuroscience
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Computer Vision problems are often solved using a Machine Learning approach. In Machine Learning, we learn from data.

What if you do not have enough data? Well, there is still some hope.

If you are able to segment your shape out, you can use Hu Moments for shape matching. These moments are invariant to translation, scale, and rotation and can identify the shape even if it has undergone those transformations.

You will learn about raw moments, central moments and Hu moments in our post today.

We also show how to use moments for matching shapes.

As always, we are sharing code in C++ and Python.

https://lnkd.in/eVk_J5M

#AI #MachineLearning #ComputerVision #OpenCV


❇️ @AI_Python
πŸ—£ @AI_Python_Arxiv
✴️ @AI_Python_EN
OpenCV on Android = Compact size and Optimized (pick the modules that matters to you), build your own SDK for Android.

If you choose OpenCV for production, your primary goal is to bring down the size of the library and also make it performance packed. OpenCV is an awesome library with tons of algorithms but you must be using a very small subset of these algorithm in your application, hence it makes perfect sense to include what is required and leave out the rest.

#opencv #opensourcesoftware #android #computervision

https://medium.com/@tomdeore/opencv-on-android-tiny-with-optimization-enabled-932460acfe38

❇️ @AI_Python_EN
πŸ—£ @AI_Python_arXiv
✴️ @AI_Python
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Ever wondered what a person's real age was? Or have you seen a baby and been really confused if it is a boy or a girl? Well, guess what! LearnOpenCV has a new blog post by Vikas Gupta and it reveals how you can easily guess age and gender using OpenCV Deep Learning

https://lnkd.in/dwsPtVQ

We'll be using Convolutional Neural Network (CNN) architecture, and focus on honing the Age Prediction Model.

Like, tag your friends and follow us for more of such exciting stuff! Mention reviews and what you want us to work on next, in the comments!

#LearnOpenCV #OpenCV #MachineLearning #DeepLearning #AI #ComputerVision #ImageRecognition #GenderClassification #AgeClassification #Python #Cplusplus

✴️ @AI_Python_EN
❇️ @AI_Python
πŸ—£ @AI_Python_arXiv
An amazing article to help you get started with #computervision - the author has explained 16 functions of the popular #OpenCV library and provided codes for each of them.
https://buff.ly/2CF3YIs

✴️ @AI_Python_EN
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We are back with a new blog post for our PyTorch Enthusiasts. If you are new to this field, Semantic Segmentation might be a new word for you.
Simply put it is an image analysis task used to classify each pixel in the image into a class which is exactly like solving a jigsaw puzzle and putting the right pieces at the right places!

Today's blog by Arunava Chakraborty is about Semantic Segmentation using torchvision and will help explore more about this interesting topic.

https://lnkd.in/gG5fW3M

#Semantic #segmentation #torchvision #PyTorch #ai #deeplearning #machinelearning #computervision #opencv

✴️ @AI_Python_EN
Module 3: Core Machine Learning (May-October Semester)
July 6th by FAST-NU AI/ML Training Center

Module 3 (Core Machine Learning) of our ongoing cohort (May October semester) for the AI-ML training program. It covers basic to intermediate Machine Learning and lays a solid foundation to build or transition into a career of ML and Data Science, and also to provide a thorough grounding for the next Deep Learning Module.

https://www.facebook.com/events/2195319697439547/

#deeplearning #machinelearning #opencv #AI #ML #Python

✴️ @AI_Python_EN
.

just published my (free) 81-page guide on learning #ComputerVision, #DeepLearning, and #OpenCV!
Includes step-by-step instructions on:
- Getting Started
- Face Applications
- Object Detection
- OCR
- Embedded/IOT
- and more!
Check it out here:
http://pyimg.co/getstarted
And if you liked it, please do give it a share to spread the word. Thank you!
#Python #Keras #MachineLearning #ArtificialIntelligence #AI

❇️ @AI_Python_EN
Free 81-page guide on learning #ComputerVision, #DeepLearning, and #OpenCV!

Includes step-by-step instructions on:
- Getting Started
- Face Applications
- Object Detection
- OCR
- Embedded/IoT
- ...and more

https://www.pyimagesearch.com/start-here