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chenyu97/Code_EvaDB

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Code_EvaDB

Python packages:

  1. Install EvaDB and norfair in python environment

  2. Install some other packages for color_NN model of AICITY according to requirements.txt


Checkpoints:

  1. Download color_NN model, and save it like 1_query_stateless_property/data/checkpoints/CLIP_recognition_color/checkpoint_recognition_color.pth

Video data:

  1. Download Banff, Jackson and Southampton, and put them in directory Three_Datasets. Ensure that Three_Datasets and Code_EvaDB are at the same level.

  2. Download ua_detrac.mp4 as wget -nc "https://www.dropbox.com/s/k00wge9exwkfxz6/ua_detrac.mp4?raw=1" -O ua_detrac.mp4, and put it in 1_query_stateless_property/


How to run:

  1. Example for query red cars:

    • cd ./1_query_stateless_property/
    • mkdir result
    • python query_red_car.py
  2. Move the bash file eval.sh to the parent directory of root directory Code_EvaDB, which means that eval.sh and the root directory Code_EvaDB are at the same level. Then use: bash eval.sh.

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