PyTorch

DeepLabv3 & DeepLabv3+ The Ultimate PyTorch Guide

DeepLab models, first debuted in ICLR ‘14, are a series of deep learning architectures designed to tackle the problem of semantic segmentation. After making iterative refinements through the years, the

Deep Learning, Image Segmentation, PyTorch, Segmentation

Performance Comparison of YOLO Object Detection Models – An Intensive Study

This article explains several performance comparison between different YOLO object detection models. These include YOLOv5, YOLOv6, and YOLOv7.

Deep Learning, GPUs, Object Detection, YOLO

YOLOv6 Custom Dataset Training – Underwater Trash Detection

In this article we train the YOLOv6 Nano, Small, and Large models on a custom Underwater Trash Detection dataset and compare the results with YOLOv5 and YOLOv7.

Computer Vision, Deep Learning, Object Detection, YOLO

Document Segmentation Using Deep Learning in PyTorch

Moving away from traditional document scanners, learn how to create a Deep Learning-based Document Segmentation model using DeepLabv3 architecture in PyTorch.

CNN, Computer Vision, Deep Learning, Homography, Image Alignment, Image Registration, Image Segmentation, Machine Learning, PyTorch, Tutorial

Building Industrial embedded deep learning inference pipelines with TensorRT

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. The topics we

Deep Learning, Image Segmentation, Model Optimization, PyTorch, Segmentation

Real-time style transfer in a Zoom meeting

you will learn how to train your own fast style transfer network in pytorch and deploy the model to get live style transfer effect on a web meeting on zoom/Skype/

Deep Learning, Generative Adversarial Networks, PyTorch