GitHub - virajmavani/semi-auto-image-annotation-tool: Semi Automatic Image Annot...
source link: https://github.com/virajmavani/semi-auto-image-annotation-tool
Go to the source link to view the article. You can view the picture content, updated content and better typesetting reading experience. If the link is broken, please click the button below to view the snapshot at that time.
README.md
Semi Automatic Image Annotation Toolbox
Semi Automatic Image Annotation Toolbox with RetinaNet as the suggesting algorithm. The toolbox suggests 80 class objects from the MS COCO dataset using a pretrained RetinaNet model.
Installation
-
Clone this repository.
-
In the repository, execute
pip install . --user
. Note that due to inconsistencies with howtensorflow
should be installed, this package does not define a dependency ontensorflow
as it will try to install that (which at least on Arch Linux results in an incorrect installation). Please make suretensorflow
is installed as per your systems requirements. Also, make sure Keras 2.1.3 or higher is installed. -
Download the pretrained weights and save it in /snapshots.
Dependencies
-
Tensorflow >= 1.7.0
-
OpenCV >= 3.4.0
-
Keras >= 2.1.3
For, Python >= 3.5
Usage
python main.py
Recommend
About Joyk
Aggregate valuable and interesting links.
Joyk means Joy of geeK