Document Scanning is a background segmentation problem which can be solved using various methods. It is one of the extensively used applications of computer vision. In this post, we are considering ...
Mean Average Precision (mAP) in Object Detection
Mean Average Precision (mAP) is a performance metric used for evaluating machine learning models. It is the most popular metric that is used by benchmark challenges such as PASCAL VOC, COCO, ImageNET ...
Create Snapchat/Instagram filters using Mediapipe
IntroductionAugmented RealityHow AR filters workMediaPipeWhy MediaPipeFace MeshImplementationPrerequisitesInstalling MediaPipePipeline overviewLandmark points from Face MeshSelecting points we ...
AUTOSAR C++ compliant deep learning inference with TensorRT
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 blog post?What can we ...
MRNet – The Multi-Task Approach
Our last post on the MRNet challenge presented a simple way to approach it. There you learned to make a separate model for each disease. And ended up with three models. Time to up your game! Now ...
Generative and Discriminative Models
Most of the Machine Learning and Deep Learning problems that you solve are conceptualized from the Generative and Discriminative Models. In Machine Learning, one can clearly distinguish between the ...
