maritaganta

enigma

stitcher

all_in_one

sql_stories

computer_vision_tools

Little snippets of handy computer vision solutions

MRAC_SENSING_WORKSHOP

RansacSolver

My own implementation of the RANSAC algorithm using the fitting model LineModelND

WildFireDetection

Using U-Net Model to Detect Wildfire from Satellite Imagery

asymmetric_constellation

coverage_tool

xview-yolov3

xView 2018 Object Detection Challenge: YOLOv3 Training and Inference.

yolor

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

clone

Face-Landmark-Detection

M811

remote-sensing-with-python

streamlit-folium

Streamlit Component for rendering Folium maps

activefire

Active fire detection and segmentation with CNN

Satellite-Image-Processing

Here are some of my go-to scripts and processes that I use for the preprocessing of satellite imagery for qualitative analysis.

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

iot-obstacle-detection-device

Here you can find the arduino code to connect a sonar sensor and nodeMCU for obstacle detection.

Cloud-Segmentation-from-Satellite-Imagery

This repository contains the first model which I tried on cloud dataset from sentinel satellite for cloud segmentation. The model was UNET and the loss function used was BinaryCrossEntropy with Logits. For, validation IoU was used. Accuracy of 81.39% could be achieved on the validation set using this model.

test-integration-with-pycharm

it-cert-automation-practice

Google IT Automation with Python Professional Certificate - Practice files

urban-octo-doodle

MachineLearningFromScratch

In this repo I save models that I have built from scratch for my future reference. I am always building on top of these basic knowledge on my projects.

wildfire-detection

Using Vision Transformers for enhanced wildfire detection in satellite images

Udacity-Computer-Vision-Nanodegree

I am taking Udacity's Computer Vision Nanodegree to develop a better understanding of computer vision. To graduate from the nanodegree, I am working on 3 different projects, which I am also submitting here.

s2cloudmask

Sentinel-2 Cloud and Shadow Detection using Machine Learning

wildfire-detection-from-satellite-images-ml

In this project, we detect forest wildfire from given satellite images using deep learning.