roLabelImg

This has been further modified from roLabelImg to display angle in range of -90 to 90 degree in accordance to labeling from CEPDOF (http://vip.bu.edu/projects/vsns/cossy/datasets/cepdof/)

The original version 'labelImg''s link is here<https://github.com/tzutalin/labelImg>.

It is written in Python and uses Qt for its graphical interface.

Watch a demo by author cgvict

https://youtu.be/7D5lvol_QRA

Annotations are saved as XML files almost like PASCAL VOC format, the format used by ImageNet.

XML Format

<annotation verified="yes">
  <folder>hsrc</folder>
  <filename>100000001</filename>
  <path>/Users/haoyou/Library/Mobile Documents/com~apple~CloudDocs/OneDrive/hsrc/100000001.bmp</path>
  <source>
    <database>Unknown</database>
  </source>
  <size>
    <width>1166</width>
    <height>753</height>
    <depth>3</depth>
  </size>
  <segmented>0</segmented>
  <object>
    <type>bndbox</type>
    <name>ship</name>
    <pose>Unspecified</pose>
    <truncated>0</truncated>
    <difficult>0</difficult>
    <bndbox>
      <xmin>178</xmin>
      <ymin>246</ymin>
      <xmax>974</xmax>
      <ymax>504</ymax>
    </bndbox>
  </object>
  <object>
    <type>robndbox</type>
    <name>ship</name>
    <pose>Unspecified</pose>
    <truncated>0</truncated>
    <difficult>0</difficult>
    <robndbox>
      <cx>580.7887</cx>
      <cy>343.2913</cy>
      <w>775.0449</w>
      <h>170.2159</h>
      <angle>2.889813</angle>
    </robndbox>
  </object>
</annotation>

Installation

Download prebuilt binaries of original 'labelImg'

Windows & Linux
OS X. Binaries for OS X are not yet available. Help would be appreciated. At present, it must be built from source.

Build from source

Linux/Ubuntu/Mac requires at least Python 2.6 and has been tested with PyQt 4.8.

Ubuntu Linux

sudo apt-get install pyqt5-dev-tools
sudo pip3 install -r requirements/requirements-linux-python3.txt
make qt5py3
python3 roLabelImg.py
python3 roLabelImg.py [IMAGE_PATH] [PRE-DEFINED CLASS FILE]

OS X

brew install qt  # Install qt-5.x.x by Homebrew
brew install libxml2

or using pip

pip3 install pyqt5 lxml # Install qt and lxml by pip

make qt5py3
python3 roLabelImg.py
python3 roLabelImg.py [IMAGE_PATH] [PRE-DEFINED CLASS FILE]

Windows

Install Python, PyQt5 and install lxml.

Open cmd and go to the labelImg directory

pyrcc4 -o lib/resources.py resources.qrc
For pyqt5, pyrcc5 -o libs/resources.py resources.qrc
python roLabelImg.py
python roLabelImg.py [IMAGE_PATH] [PRE-DEFINED CLASS FILE]

Windows + Anaconda ~~~~~~~~~~~~~~~~~ .. code:

conda install pyqt=5
conda install -c anaconda lxml
pyrcc5 -o libs/resources.py resources.qrc
python roLabelImg.py
python roLabelImg.py [IMAGE_PATH] [PRE-DEFINED CLASS FILE]

Usage

Steps

Build and launch using the instructions above.
Click 'Change default saved annotation folder' in Menu/File
Click 'Open Dir'
Click 'Create RotBndBox'
Click and release left mouse to select a region to annotate the rect box, Click
You can use right mouse to drag the rect box to copy or move it

The annotation will be saved to the folder you specify.

You can refer to the below hotkeys to speed up your workflow.

Create pre-defined classes

You can edit the data/predefined_classes.txt to load pre-defined classes

Hotkeys

Ctrl + u	Load all of the images from a directory
Ctrl + r	Change the default annotation target dir
Ctrl + s	Save
Ctrl + d	Copy the current label and rect box
Space	Flag the current image as verified
w	Create a rect box
e	Create a Rotated rect box
d	Next image
a	Previous image
r	Hidden/Show Rotated Rect boxes
n	Hidden/Show Normal Rect boxes
del	Delete the selected rect box
Ctrl++	Zoom in
Ctrl--	Zoom out
↑→↓←	Keyboard arrows to move selected rect box
zxcv	Keyboard to rotate selected rect box

How to contribute

Send a pull request

License

Free software: MIT license

ImageNet Utils to download image, create a label text for machine learning, etc
Docker hub to run it