deeptraining_hands

Each of the provided scripts converts files of a certain boundingbox annotation format into another.
Run one or several scripts to get to your desired training format.
Some of the scripts use packages provided by tensorflow's API so make to include tensorflow/models/research to your PYTHONPATH

Example: to get from .mat annotations to a tensorflow runnable .record file, run:

mat_to_xml.py
xml_to_csv.py
csv_img_to_tfrecord.py

All scripts create/support following folder structure:

.
├── data
|   ├── train_labels.csv
|   ├── eval_labels.csv
|   ├── label_map.pbtxt
│   └── train 
|       ├── annotations
|           ├── mat
|               ├──file1.mat
|               └── ...
|           ├── xml
|               ├──file1.xml
|               └── ...
|           └── txt
|               ├──file1.txt
|               └── ...
|       └── images
|               ├──file1.jpg
|               └── ...
│   ├── eval
|       └── ...
│   
└── model