Trash Sorter Extraordinaire is a software which efficiently detects the different types of waste in a pile of random trash through feeding it pictures or videos.

Last update: Nov 07, 2021

Overview

Trash-Sorter-Extraordinaire

Trash Sorter Extraordinaire is a software which efficiently detects the different types of waste in a pile of random trash through feeding it pictures or videos.

Detecting plastic amongst other trash items

Detecting glass amongst other trash items

Owner

Rameen Mahmood

GitHub Repository

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Trash Sorter Extraordinaire is a software which efficiently detects the different types of waste in a pile of random trash through feeding it pictures or videos.

Related tags

Overview

Trash-Sorter-Extraordinaire

Owner

Rameen Mahmood

Marine debris detection with commercial satellite imagery and deep learning.

Implementation of Axial attention - attending to multi-dimensional data efficiently

Official implementation of FCL-taco2: Fast, Controllable and Lightweight version of Tacotron2 @ ICASSP 2021

[CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution

Simple streamlit app to demonstrate HERE Tour Planning

YOLTv4 builds upon YOLT and SIMRDWN, and updates these frameworks to use the most performant version of YOLO, YOLOv4

Posterior predictive distributions quantify uncertainties ignored by point estimates.

The official implementation of paper Siamese Transformer Pyramid Networks for Real-Time UAV Tracking, accepted by WACV22

Real-world Anomaly Detection in Surveillance Videos- pytorch Re-implementation

OpenMMLab 3D Human Parametric Model Toolbox and Benchmark

This is the official code for the paper "Learning with Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision"

Offical implementation of Shunted Self-Attention via Multi-Scale Token Aggregation

ProFuzzBench - A Benchmark for Stateful Protocol Fuzzing

The official PyTorch implementation for the paper "sMGC: A Complex-Valued Graph Convolutional Network via Magnetic Laplacian for Directed Graphs".

Code for the Image similarity challenge.

Securetar - A streaming wrapper around python tarfile and allow secure handling files and support encryption

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Semi-supervised learning for object detection

Weight initialization schemes for PyTorch nn.Modules

FluidNet re-written with ATen tensor lib