tersekmatija

lwcc

LWCC: A LightWeight Crowd Counting library for Python that includes several pretrained state-of-the-art models.

eWaSR

An embedded-compute-ready maritime obstacle detection network eWaSR.

mobileone

MobileOne - An Improved One millisecond Mobile Backbone. Unofficial Pytorch implementation for edge export - ONNX, OpenVINO.

Bayesian-CSRNet

Bayesian-CSRNet

RealtimeStereo

Attention-Aware Feature Aggregation for Real-time Stereo Matching on Edge Devices (ACCV, 2020)

lwcc_weights

Lightweight Crowd Counting Weights

Bayesian-Crowd-Counting

Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision

crowd-counting-cnns

Paper on CNN crowd counting approaches for IBB master's course at FRI, Ljubljana

crowd-counting-scnn

This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-convolutional neural network and uses an expert CNN that chooses the best crowd density CNN regressor for parts of the scene from a bag of regressors. This helps it tackle intra-scene crowd density variation and obtain SOTA results

CROWD-COUNTING-USING-CSRNET

CSRNet-keras

Implementation of the CSRNet paper (CVPR 18) in keras-tensorflow

CSRNet-pytorch

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

depthai-experiments

Experimental projects we've done with DepthAI.

depthai-ml-training

Some Example Neural Models that we've trained along with the training scripts

DM-Count

Code for NeurIPS 2020 paper: Distribution Matching for Crowd Counting.

ERK-2020

A review and comparison of time series similarity measures

mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

mscnn

mscnn crowd counting model implementation, source from "Multi-scale Convolution Neural Networks for Crowd Counting" write by Zeng L, Xu X, Cai B, et al.

onnx

Open standard for machine learning interoperability

re-LearningToCountEverything

Learning To Count Everything Reproducibility Challenge

Real-Time-Voice-Cloning

Clone a voice in 5 seconds to generate arbitrary speech in real-time

SFANet-crowd-counting

This is an unofficial implement of the arXiv paper Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting by PyTorch.

sganet-crowd-counting

A Pytorch implementation of SGANet for crowd counting

strawberry-detection

tersekmatija.github.io

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