├── LICENSE
├── Makefile           <- Makefile with commands like `make data` or `make train` (not used yet)
├── README.md          <- The top-level README for developers using this project.
├── data
│   ├── external       <- Data from third party sources. (not used yet)
│   ├── interim        <- Intermediate data that has been transformed. (not used yet)
│   ├── processed      <- The final, canonical data sets for modeling which can be ingested by tensorflow.
│   └── raw            <- The original, immutable data dump (raw images).
│
├── docs               <- A default Sphinx project; see sphinx-doc.org for details (not used yet)
│
├── models             <- Downloaded pretrained tensorflow models and models trained on our dataset
│   ├─  downloaded_tf_models
│   └── inception_v3
│
├── notebooks          <- Jupyter notebooks. Naming convention is a number (for ordering),
│                         the creator's initials, and a short `-` delimited description, e.g.
│                         `1.0-jqp-initial-data-exploration`.
│
├── references         <- Data dictionaries, manuals, and all other explanatory materials. (not used yet)
│
├── reports            <- Generated analysis as HTML, PDF, LaTeX, etc. (not used yet)
│   └── figures        <- Generated graphics and figures to be used in reporting (not used yet)
│
├── requirements.txt   <- The requirements file for reproducing the analysis environment, e.g.
│                         generated with `pip freeze > requirements.txt`
│
├── src                <- Source code for use in this project.
│   ├── __init__.py    <- Makes src a Python module
│   │
│   ├── data           <- Scripts to download or generate data
│   │   
│   ├── features       <- Scripts to turn raw data into features for modeling (not used yet)
│   │
│   ├── models         <- Scripts to train models and then use trained models to make (not used yet)
│   │                     predictions
│   │
│   ├── visualization  <- Scripts to create exploratory and results oriented visualizations (not used yet)
│   │  
│   │    
│   └── slim           <- Clone of https://github.com/tensorflow/models/tree/master/slim
│       │                Slim is a high level API to Tensorflow which make the training more convenient
│       │
│       ├── eval_image_classifier.py  <- Evaluate a model on a dataset           
│       ├── train_image_classifier.py <- Train a model on a dataset
│       └── datasets   <- Scrips to convert the raw data to dataset which can be used with slim 
│            │
│            ├── convert_scoodit_178.py
│            ├── convert_scoodit_test_snaps.py
│            ├── dataset_factory.py
│            ├── scoodit_178.py
│            └── scoodit_178_test_snaps.py
└── tox.ini            <- tox file with settings for running tox; see tox.testrun.org