City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones Code

Overview

City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones

Requirements

Python 3.8 or later with all requirements.txt dependencies installed, including torch>=1.7. To install run:

$ pip install -r requirements.txt

Data Preparation

If you want to reproduce our results on AI City Challengef, please download the datasets from: (https://www.aicitychallenge.org/) and put it under the folder datasets. Make sure the data structure is like:

AIC21-MTMC

  • datasets
    • AIC21_Track3_MTMC_Tracking
      • unzip AIC21_Track3_MTMC_Tracking.zip
    • detect_provided (Including detection and corresponding Re-ID features)
  • detector
    • yolov5
  • reid
    • reid_model (Pre-trained reid model on Track 2)
      • resnet101_ibn_a_2.pth
      • resnet101_ibn_a_3.pth
      • resnext101_ibn_a_2.pth

Reproduce frome detect_provided

If you just want reproduce our results, you can directly download detect_provided:

cd AIC21-MTMC
mkdir datasets
cd datasets

Then put detect_provided folder under this folder and modify yml config/aic_mcmt.yml:

CHALLENGE_DATA_DIR: '/home/xxx/AIC21-MTMC/datasets/AIC21_Track3_MTMC_Tracking/'
DET_SOURCE_DIR: '/home/xxx/AIC21-MTMC/datasets/detection/images/test/S06/'
DATA_DIR: '/home/xxx/AIC21-MTMC/datasets/detect_provided'
REID_SIZE_TEST: [384, 384]
ROI_DIR: '/home/xxx/AIC21-MTMC/datasets/AIC21_Track3_MTMC_Tracking/test/S06/'
CID_BIAS_DIR: '/home/xxx/AIC21-MTMC/datasets/AIC21_Track3_MTMC_Tracking/cam_timestamp/'
USE_RERANK: True
USE_FF: True
SCORE_THR: 0.1
MCMT_OUTPUT_TXT: 'track3.txt'

Then run:

bash ./run_mcmt.sh

The final results will locate at path ./reid/reid-matching/tools/track3.txt

Reproduce on all pipeline

If you just want reproduce our results on all pipeline, you have to download:

detector/yolov5/yolov5x.pt
reid/reid_model/resnet101_ibn_a_2.pth
reid/reid_model/resnet101_ibn_a_3.pth
reid/reid_model/resnext101_ibn_a_2.pth

You can refer to Track2 to retrain the reid model.

Then modify yml:

config/aic_all.yml
config/aic_reid1.yml
config/aic_reid2.yml
config/aic_reid3.yml

Then run:

bash ./run_all.sh

The final results will locate at path ./reid/reid-matching/tools/track3.txt

Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".

VL-BERT By Weijie Su, Xizhou Zhu, Yue Cao, Bin Li, Lewei Lu, Furu Wei, Jifeng Dai. This repository is an official implementation of the paper VL-BERT:

Weijie Su 698 Dec 18, 2022
Food Drinks and groceries Images Multi Lingual (FooDI-ML) dataset.

Food Drinks and groceries Images Multi Lingual (FooDI-ML) dataset.

41 Jan 04, 2023
Advancing mathematics by guiding human intuition with AI

Advancing mathematics by guiding human intuition with AI This repo contains two colab notebooks which accompany the paper, available online at https:/

DeepMind 315 Dec 26, 2022
Maximum Spatial Perturbation for Image-to-Image Translation (Official Implementation)

MSPC for I2I This repository is by Yanwu Xu and contains the PyTorch source code to reproduce the experiments in our CVPR2022 paper Maximum Spatial Pe

51 Dec 14, 2022
An open-source Deep Learning Engine for Healthcare that aims to treat & prevent major diseases

AlphaCare Background AlphaCare is a work-in-progress, open-source Deep Learning Engine for Healthcare that aims to treat and prevent major diseases. T

Siraj Raval 44 Nov 05, 2022
Code base for the paper "Scalable One-Pass Optimisation of High-Dimensional Weight-Update Hyperparameters by Implicit Differentiation"

This repository contains code for the paper Scalable One-Pass Optimisation of High-Dimensional Weight-Update Hyperparameters by Implicit Differentiati

8 Aug 28, 2022
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning

Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning Update (September 18th, 2021) A supporting document de

Taimur Hassan 1 Mar 16, 2022
Implementation of ConvMixer-Patches Are All You Need? in TensorFlow and Keras

Patches Are All You Need? - ConvMixer ConvMixer, an extremely simple model that is similar in spirit to the ViT and the even-more-basic MLP-Mixer in t

Sayan Nath 8 Oct 03, 2022
Line-level Handwritten Text Recognition (HTR) system implemented with TensorFlow.

Line-level Handwritten Text Recognition with TensorFlow This model is an extended version of the Simple HTR system implemented by @Harald Scheidl and

Hoàng Tùng Lâm (Linus) 72 May 07, 2022
Material del curso IIC2233 Programación Avanzada 📚

Contenidos Los contenidos se organizan según la semana del semestre en que nos encontremos, y según la semana que se destina para su estudio. Los cont

IIC2233 @ UC 72 Dec 23, 2022
Code for the paper "Benchmarking and Analyzing Point Cloud Classification under Corruptions"

ModelNet-C Code for the paper "Benchmarking and Analyzing Point Cloud Classification under Corruptions". For the latest updates, see: sites.google.com

Jiawei Ren 45 Dec 28, 2022
Motion planning environment for Sampling-based Planners

Sampling-Based Motion Planners' Testing Environment Sampling-based motion planners' testing environment (sbp-env) is a full feature framework to quick

Soraxas 23 Aug 23, 2022
Deep Sketch-guided Cartoon Video Inbetweening

Cartoon Video Inbetweening Paper | DOI | Video The source code of Deep Sketch-guided Cartoon Video Inbetweening by Xiaoyu Li, Bo Zhang, Jing Liao, Ped

Xiaoyu Li 37 Dec 22, 2022
This repository builds a basic vision transformer from scratch so that one beginner can understand the theory of vision transformer.

vision-transformer-from-scratch This repository includes several kinds of vision transformers from scratch so that one beginner can understand the the

1 Dec 24, 2021
Official implementation of "Robust channel-wise illumination estimation"

This repository provides the official implementation of "Robust channel-wise illumination estimation." accepted in BMVC (2021).

Firas Laakom 4 Nov 08, 2022
Speech Emotion Recognition with Fusion of Acoustic- and Linguistic-Feature-Based Decisions

APSIPA-SER-with-A-and-T This code is the implementation of Speech Emotion Recognition (SER) with acoustic and linguistic features. The network model i

kenro515 3 Jan 04, 2023
Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving

Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving This is the source code for our paper Frequency Domain Image Tran

Mu Cai 52 Dec 23, 2022
Official implementation of paper Gradient Matching for Domain Generalization

Gradient Matching for Domain Generalisation This is the official PyTorch implementation of Gradient Matching for Domain Generalisation. In our paper,

94 Dec 23, 2022
On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation (Findings of EMNLP 2021))

PTvsBT On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation (Findings of EMNLP 2021) Citation Please cite a

Sunbow Liu 10 Nov 25, 2022