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In this article, we will learn how to create a TensorFlow Lite model using the TF Lite Model Maker Library. We will fine-tune a pre-trained image classification model on the
The recent trend in developing larger and larger Deep Learning models for a slight increase in accuracy raises concerns about their computational efficiency and wide scaled usability. We can not
If you are unfamiliar with safety compliance and are debating whether or not to read this blog post, let’s answer the most important question first. Why should you read this
Deep Learning models inferencing on video stream inputs in computer vision applications are mostly used for object detection, image segmentation, and image classification. In many cases, we fail to get
Reading and writing videos in OpenCV is very similar to reading and writing images. A video is nothing but a series of images that are often referred to as frames.
In our previous posts, we discussed how to perform Body and Hand pose estimation using the OpenPose library. Recently, as part of our consulting business, we got a chance to
OpenCV released OpenCV-3.4.4 and OpenCV-4.0.0 on 20th November. There have been a lot of bug fixes and other changes in these versions. The release highlights are as follows: OpenCV is
OpenCV released OpenCV-3.4.4 and OpenCV-4.0.0 on 20th November. There have been a lot of bug fixes and other changes in these versions. The release highlights are as follows: OpenCV is
There is a saying in Kannada, “Jeevana, Nintha Neeragirabaaradhu, Adhu Hariyuva ‘Jhari’ yaagirabeku.” Which translates to the following in English, “Life should never be water in a pond, but it
Ideas in Machine Learning have a “winner takes all” quality. When an idea takes off, it dominates the field so completely that one tends to believe it is the only