Anno-Mage: A Semi Automatic Image Annotation Tool
Semi Automatic Image Annotation Toolbox with tensorflow and keras object detection models.
Clone this repository.
In the repository, execute
pip install -r requirements.txt. Note that due to inconsistencies with how
tensorflowshould be installed, this package does not define a dependency on
tensorflowas it will try to install that (which at least on Arch Linux results in an incorrect installation). Please make sure
tensorflowis installed as per your systems requirements. Also, make sure Keras 2.1.3 or higher and OpenCV 3.x is installed.
a) For Keras model - Download the pretrained weights and save it in /snapshots/keras.
b) For tensorflow model get the desired model from here and extract it in /sanpshots/tensorfow
c) You can even save custom pre trained model in the respective directory.
Tensorflow >= 1.7.0
OpenCV = 3.x
Keras >= 2.1.3
For, Python >= 3.5
Select the COCO object classes for which you need suggestions from the drop-down menu and add them. Or simply click on
Add all classes.
Select the desired model and click on
When annotating manually, select the object class from the List and while keep it selected, select the BBox.
The final annotations can be found in the file
annotations.csvin ./annotations/ . Also a xml file will saved.
For MSCOCO dataset
For any other dataset-
First change the labels in config.py (for keras model) or in tf_config.py( for tensorflow model). Then run:
macOS High Sierra
Join the developers channel for contributions
Computer Vision Group, L.D. College of Engineering