PyTorch
You can scarcely find a good article on deploying computer vision systems in industrial scenarios So we decided to write a blog post series on the topic nbsp The topics
This blog post covers object detection training of the YOLOv5 model on a custom dataset using the small and medium YOLOv5 models
Intersection Over Union IoU is a number that quantifies degree of overlap between two boxes In object detection and segmentation it is a helper metric for evaluating models Continue reading
Moving away from traditional document scanners learn how to create a Deep Learning based Document Segmentation model using DeepLabv3 architecture in PyTorch
Explaining and understanding the inner workings of FairMOT Tracker Checkout the intermediate outputs and compare the results with DeepSort Tracker
FCOS Fully Convolutional One stage Object Detection is an anchor free anchorless object detector Inference on image and video with PyTorch