wegiangb

theatre

Motion design editor for the web

autograd

Efficiently computes derivatives of NumPy code.

MiDaS

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

uikit

🎨 user interfaces for react-three-fiber

ManimML

ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

4K4D

[CVPR 2024] 4K4D: Real-Time 4D View Synthesis at 4K Resolution

shards-dashboard

🔥A beautiful Bootstrap 4 admin dashboard templates pack.

gpu-io

A GPU-accelerated computing library for running physics simulations and other GPGPU computations in a web browser.

sam-pt

SAM-PT: Extending SAM to zero-shot video segmentation with point-based tracking.

sssegmentation

SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.

YOLOv8-DeepSORT-Object-Tracking

YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT

three-story-controls

A three.js camera toolkit for creating interactive 3d stories

Stable-Diffusion-Unity-Integration

Stable-Diffusion-Unity-Integration

Automatic_Number_Plate_Detection_Recognition_YOLOv8

Automatic Number Plate Detection YOLOv8

ThreeStudio

3D game editor based on Three.js and Electron.

Speed-Estimation-of-Vehicles-with-Plate-Detection

The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisition of series of images from the video, trucks are detected using Haar Cascade Classifier. The model for the classifier is trained using lots of positive and negative images to make an XML file. This is followed by tracking down the vehicles and estimating their speeds with the help of their respective locations, ppm (pixels per meter) and fps (frames per second). Now, the cropped images of the identified trucks are sent for License Plate detection. The CCA (Connected Component Analysis) assists in Number Plate detection and Characters Segmentation. The SVC model is trained using characters images (20X20) and to increase the accuracy, 4 cross fold validation (Machine Learning) is also done. This model aids in recognizing the segmented characters. After recognition, the calculated speed of the trucks is fed into an excel sheet along with their license plate numbers. These trucks are also assigned some IDs to generate a systematized database.

HyperCoast

A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments

HASSOD

[NeurIPS 2023] HASSOD: Hierarchical Adaptive Self-Supervised Object Detection

gains

Stable Diffusion Web UI for Unity

point-cloud-visualizer

Point cloud visualizer for images with depth maps and other interesting algorithms

AQI2cigarettes

Calculator that estimates impact to health from exposure to bad air quality in terms of cigarettes

chmloader

Download and review 1 m Canopy Height Model data produced by Tolan et al. (2024)

covid19-pollution

Exploring the effect of COVID-19 in air pollution by using satellite data, with the sentinelsat and cartopy libraries.

Traffic-Flow-Prediction-in-the-city-of-Paris-using-LSTM

This app forecasts the live traffic for the next 3 hours in the famous streets of Paris. Additionally, it also provides statistics for the historial traffic data such as distribution of traffic among 2 wheelers and 4 wheelers, most busiest junction etc.

ESTA

Emissions Spatial and Temporal Allocator model

threejsworld

airnet-py

☁Air pollution visualization and forecasting platform based on Flask and TensorFlow

autonomouscar

PowerBI-Air-pollution-Dashboard

Air Pollution dashboard with PowerBI

Smart-City-Traffic-Management

Implementing an advanced system that accurately count vehicles, estimate vehicle speeds (within ± 5km/h) and classifies vehicle types. Leveraging MobilenetSSD to achieve a real-time analysis of over 95% accuracy from CCTV footage.