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Deep Learning for Overcoming Challenges of Detecting Moving Objects in Video
We discuss the challenges of detecting moving objects and existing methods for moving object detection, and explain how your solution can be improved...
AI & ML
Using Modified Inception V3 CNN for Video Processing and Video Classification
Learn how to use Inception V3 for image processing and video processing and how to retrain the existing model after adding new data classes.
Action Detection Using Deep Neural Networks: Problems and Solutions
In this article, we talk about the importance of finding a balance between accuracy and performance, challenges we faced with dataset preparation and...
How to Use Google Colaboratory for Video Processing
Using tips from this overview, you can detect objects and perform object segmentation on a video stream with the help of Google Colaboratory.
FPGAs for Artificial Intelligence: Possibilities, Pros, and Cons
Learn whether FPGAs are a good fit for accelerating Artificial Intelligence (AI) applications and what are the pros and cons of using FPGAs for AI.
Improving the Performance of Mask R-CNN Using TensorRT
In this article, we share how we managed to improve Mask R-CNN performance six to ten times by applying TensorRT
New Password Guessing Attacks Use Machine Learning: How to Protect Against Them
The article might be useful for SaaS providers and web developers who want to protect their applications against upcoming password guessing attacks ba...
Machine Learning vs Deep Learning – Which to Apply for Your Project?
Compare deep learning vs machine learning and understand better the difference between these approaches and their applications.
Research on Methods for Counting the Number of People in a Video Stream Using OpenCV
Intro to work with OpenCV for computer vision tasks with code samples explained
