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

PyTorch Implementation of Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation.

DosGAN-PyTorch PyTorch Implementation of Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation

40 Nov 30, 2022
TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks

TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks [Paper] [Project Website] This repository holds the source code, pretra

Humam Alwassel 83 Dec 21, 2022
Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization

Fishr: Invariant Gradient Variances for Out-of-distribution Generalization Official PyTorch implementation of the Fishr regularization for out-of-dist

62 Dec 22, 2022
Generative Adversarial Networks(GANs)

Generative Adversarial Networks(GANs) Vanilla GAN ClusterGAN Vanilla GAN Model Structure Final Generator Structure A MLP with 2 hidden layers of hidde

Zhenbang Feng 2 Nov 05, 2021
4th place solution to datafactory challenge by Intermarché.

Solution to Datafactory challenge by Intermarché. 4th place solution to datafactory challenge by Intermarché. The objective of the challenge is to pre

Raphael Sourty 11 Mar 19, 2022
Code and data (Incidents Dataset) for ECCV 2020 Paper "Detecting natural disasters, damage, and incidents in the wild".

Incidents Dataset See the following pages for more details: Project page: IncidentsDataset.csail.mit.edu. ECCV 2020 Paper "Detecting natural disasters

Ethan Weber 67 Dec 27, 2022
Provide partial dates and retain the date precision through processing

Prefix date parser This is a helper class to parse dates with varied degrees of precision. For example, a data source might state a date as 2001, 2001

Friedrich Lindenberg 13 Dec 14, 2022
Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors, CVPR 2021

Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors Human POSEitioning System (H

Aymen Mir 66 Dec 21, 2022
Implementation of CVPR'2022:Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors

Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors (CVPR 2022) Personal Web Pages | Paper | Project Page This repository contains

151 Dec 26, 2022
The dataset of tweets pulling from Twitters with keyword: Hydroxychloroquine, location: US, Time: 2020

HCQ_Tweet_Dataset: FREE to Download. Keywords: HCQ, hydroxychloroquine, tweet, twitter, COVID-19 This dataset is associated with the paper "Understand

2 Mar 16, 2022
Tools for manipulating UVs in the Blender viewport.

UV Tool Suite for Blender A set of tools to make editing UVs easier in Blender. These tools can be accessed wither through the Kitfox - UV panel on th

35 Oct 29, 2022
RRxIO - Robust Radar Visual/Thermal Inertial Odometry: Robust and accurate state estimation even in challenging visual conditions.

RRxIO - Robust Radar Visual/Thermal Inertial Odometry RRxIO offers robust and accurate state estimation even in challenging visual conditions. RRxIO c

Christopher Doer 64 Dec 29, 2022
Pytorch implementation of paper "Efficient Nearest Neighbor Language Models" (EMNLP 2021)

Pytorch implementation of paper "Efficient Nearest Neighbor Language Models" (EMNLP 2021)

Junxian He 57 Jan 01, 2023
GANmouflage: 3D Object Nondetection with Texture Fields

GANmouflage: 3D Object Nondetection with Texture Fields Rui Guo1 Jasmine Collins

29 Aug 10, 2022
Exe-to-xlsm - Simple script to create VBscript of exe and inject to xlsm

🎁 Exe To Office Executable file injection to Office documents: .xlsm, .docm, .p

3 Jan 25, 2022
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation

ClevrTex This repository contains dataset generation code for ClevrTex benchmark from paper: ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi

Laurynas Karazija 26 Dec 21, 2022
Papers about explainability of GNNs

Papers about explainability of GNNs

Dongsheng Luo 236 Jan 04, 2023
RLMeta is a light-weight flexible framework for Distributed Reinforcement Learning Research.

RLMeta rlmeta - a flexible lightweight research framework for Distributed Reinforcement Learning based on PyTorch and moolib Installation To build fro

Meta Research 281 Dec 22, 2022
Neurons Dataset API - The official dataloader and visualization tools for Neurons Datasets.

Neurons Dataset API - The official dataloader and visualization tools for Neurons Datasets. Introduction We propose our dataloader API for loading and

1 Nov 19, 2021
Like Dirt-Samples, but cleaned up

Clean-Samples Like Dirt-Samples, but cleaned up, with clear provenance and license info (generally a permissive creative commons licence but check the

TidalCycles 39 Nov 30, 2022