This is a collection of scripts to setup datasets and/or to convert files of certain boundingbox-annotation formats into another
Run one or several scripts to get to your desired training format.
Note: Some of the scripts use packages provided by tensorflow's API
So make sure to includetensorflow/models/researchto your PYTHONPATH
To Set Up the Oxford- and/or Egohands Dataset, run:
egohands_setup.py
oxfordhands_setup.py
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 to be able to support tensorflow aswell as yolo-darknet projects:
.
├── data
│ ├── train
│ │ ├── annotations
│ │ │ ├── mat
│ │ │ │ ├──file1.mat
│ │ │ │ └── ...
│ │ │ └── xml
│ │ │ ├──file1.xml
│ │ │ └── ...
│ │ ├── labels
│ │ │ ├──file1.txt
│ │ │ └── ...
│ │ └── images
│ │ ├──file1.jpg
│ │ └── ...
│ ├── eval
│ │ └── ...
│ │
│ ├── train_labels.csv
│ ├── eval_labels.csv
│ ├── label_map.pbtxt
│ ├── train.record
│ ├── eval.record
│ ├── train.txt
│ └── eval.txt
│
└── model
See howto_tf and howto_yolo for information how to train on yolo or tensorflow