1. Clone forked repo to local machine
2. Create virtual environment and active it

  conda create -n <venv-name> python=3.6
  conda activate <venv-name>

3. Install dependencies, by run the followings commands

  pip install opencv-python
  conda config --add channeds conda-forge
  conda install imgaug

1. Change directory to dataset directory

  cd <project-root-dir>/dataset/<dataset-name-dir> 

2. Place dataset into that directory

1. Change directory to <project-root-dir>
2. Run the following command

  python bucketing -dn <dataset-name>

3. The result will be saved at <project-root-dir>/buckets/<dataset-name>/<datasetname-bucket_X>

1. Open http://dataturks.iapp.co.th/projects/login
2. Log in with

  Email : iwachirawit@iapp.co.th

3. Create new dataset
4. Upload compressed bucket e.g. upload <project-root-dir>/buckets/<dataset-name>/<datasetname-bucket_X>.zip

1. Open http://dataturks.iapp.co.th/projects/login
2. Log in with

  Email : iwachirawit@iapp.co.th

3. Select desired dataset
4. Click on options button at upper right corner, then click download you

After downloading finished you will get json file as a result

1. Place downloaded json file under <project-root-dir>/dataturks/json/<datasetname>

After that, you need to convert tagged data from json format into PascalVOC format

1. Change directory to <project-root-dir>, run the following commands

  dataturks_to_PascalVOC.py -dn <datasetname>

2. You will get dataset in PascalVOC format at /dataturks/pascalVOC>/

1. Change project root directory

  cd <project-root-dir>

2. Run

  python crop_lp.py -dn <datasetname> —height <desired height>

3. You will get the result under <project-root-dir>/cropped_lps/<datasetname>