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

yolov5x.pt (Pre-trained yolov5x model on COCO)

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