In our previous post, we learned what is semantic segmentation and how to use DeepLab v3 in PyTorch to get an RGB mask of the detected labels within an image. Recall that semantic segmentation is ...
EfficientNet: Theory + Code
In this post, we will discuss the paper "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks" At the heart of many computer vision tasks like image classification, object ...
Mask R-CNN Instance Segmentation with PyTorch
In this post, we will discuss the theory behind Mask R-CNN and how to use the pre-trained Mask R-CNN model in PyTorch. This post is part of our series on PyTorch for Beginners. 1. Semantic ...
PyTorch Model Inference using ONNX and Caffe2
After the release of PyTorch in October 2016 by Facebook, it quickly gained popularity because of its developer friendliness. With its transparent and Pythonic interface, it is great for research and ...
Image Classification using Transfer Learning in PyTorch
Recently PyTorch has gained a lot of popularity because of its ease of usage and learning. Andrej Karpathy, Senior Director of AI at Tesla, said the following in his tweet. Jokes apart, PyTorch is ...
Image Inpainting with OpenCV (C++/Python)
In today's post we will describe a class of region filling algorithms called image inpainting. Imagine finding an old family photograph. You scan it and it looks great except for a few ...