Posts

Handling corrupted data in Pytorch Dataloader

Recently, while working on a video dataset, I noticed that some of the videos contained a few corrupted frames. While running the training, my dataloader used to return an incorrect shaped tensor since it was not able to read the corrupted frame.
Handling corrupted data in Pytorch Dataloader

Analyzing Bike Sharing Demand

Recently, I worked on an assignment to analyze the data from bikesharing system to predict its demand. In this post, we will see how the given data can be analyzed using statistical machine learning methods.
Analyzing Bike Sharing Demand

Tabular Synthetic Data Generation using CTGAN

In this post we will talk about generating synthetic data from tabular data using Generative adversarial networks(GANs). We will be using the default implementation of CTGAN [1] model. Introduction In the last post on GANs we saw how to generate synthetic data on Synthea dataset.
Tabular Synthetic Data Generation using CTGAN

How to Stream Live Feed From DSLR on Raspberry Pi using FFServer

In this short post, I will walk you through the steps for streaming a live camera feed from a DSLR connected to the Raspberry Pi. We will be using gphoto2 for interfacing with the camera, FFmpeg for encoding the video, and FFserver for hosting the feed on a local webserver.

How to Control and Capture Images from DSLR using Raspberry Pi

In this short post, I will walk you through the steps for controlling and capturing pictures from a DSLR connected to the Raspberry Pi using a USB cable. There are numerous tutorials out there for this setup but I found them to be outdated to some extent.

How to install FFMPEG and FFServer on Raspberry Pi

Recently while working on a project, I needed to install FFmpeg on a Raspberry Pi. I also required FFServer along with FFmpeg. There are two issues here, firstly a standard binary of FFMpeg is not available for Raspberry, and secondly, FFServer is no longer packaged along with FFmpeg.

Covid-19 Diagnosis using Radiography Images

In this notebook, we will try to classify images from the Covid-19 Radiography Dataset[1] using a pre-trained ResNet-18 network. We will be using the PyTorch library for building our network.
Covid-19 Diagnosis using Radiography Images

Literature Survey: Human Action Recognition

Over the last couple of months, I have been going through a lot of literature about human action recognition using computer vision. In this post, I will share a brief survey of Human Action Recognition.
Literature Survey: Human Action Recognition

Generating Tabular Synthetic Data Using GANs

In this post, we will see how to generate tabular synthetic data using Generative adversarial networks(GANs). The goal is to generate synthetic data that is similar to the actual data in terms of statistics and demographics.
Generating Tabular Synthetic Data Using GANs

Implementing YOLOV2 from scratch using Tensorflow 2.0

In this notebook I am going to re-implement YOLOV2 as described in the paper YOLO9000: Better, Faster, Stronger. The goal is to replicate the model as described in the paper and train it on the VOC 2012 dataset.
Implementing YOLOV2 from scratch using Tensorflow 2.0