Real time deep learning based face detection with MTCNN
Today, we are going to use deep learning to detect faces in images and videos using Tensorflow. You guys might have seen a lot of demos of face detection online. Most of these demos or projects are built using Haar cascade in OpenCV. Haar cascades have a lot of issues when applied to real-world videos. They […]
Continue ReadingDetailed Guide to Understand and Implement ResNets
ResNet is one of the most powerful deep neural networks which has achieved fantabulous performance results in the ILSVRC 2015 classification challenge. ResNet has achieved excellent generalization performance on other recognition tasks and won the first place on ImageNet detection, ImageNet localization, COCO detection and COCO segmentation in ILSVRC and COCO 2015 competitions. There are […]
Continue ReadingDeveloper Guide to Key Differences between Python 2 and 3
The Python 3 programming language was released in December 2008 and served as the next version intended to improve upon and replace Python 2. It introduced many syntactic revisions along with a much larger standard library to improve Python’s usability and programming experience. Due to these changes, Python 3 is not directly backward compatible with […]
Continue ReadingNSFW Tensorflow: Identifying objectionable content using Deep Learning
In today’s post, we would learn how to identify not safe for work images using Deep Learning. Not-Safe-For-Work images can be described as any images which can be deemed inappropriate in a workplace primarily because it may contain: Sexual or pornographic images Violence Extreme graphics like gore or abusive Suggestive content For example, LinkedIn is […]
Continue ReadingInstallation of OpenCV 4.1.0 in Windows 10 from source
OpenCV is an open source computer vision library which is very popular for performing basic image processing tasks such as blurring, image blending, enhancing image as well as video quality, thresholding etc. In addition to image processing, it provides various pre-trained deep learning models which can be directly used to solve simple tasks at hand. […]
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