Introduction to ReNom IMG ¶
ReNom IMG is model developing tool for object detection.
How to start
1.Move to ReNomIMG directory using following command.
2.Run server.py script and the application server starts.
If the server starts, you will see a message like below.
How to use
The following videos describes how to use ReNomIMG. In this video, the Oxford-IIIT Pet Dataset is used.
- Cats and Dogs Classification https://github.com/JDonini/Cats_Dogs_Classification
- O. M. Parkhi, A. Vedaldi, A. Zisserman, C. V. Jawahar Cats and Dogs IEEE Conference on Computer Vision and Pattern Recognition, 2012 Bibtex http://www.robots.ox.ac.uk/~vgg/data/pets/
1.Download weight file of YOLO.
At first, you must install weight file of yolo from url.
You can get the file with the following command.
cd ReNomIMG curl -O http://docs.renom.jp/downloads/weights/yolo.h5
2.Create dataset directory
As following video showing, please create the dataset direcotry in the
When you finish, you can show following folder structure.
link to video later.
3.Set image data to ReNomIMG
As following video showing, please put the image you want to use in the
Same as before mentioned in 'How to start', following video describes how to start ReNomIMG.
5.How to start training in ReNomIMG
Following video describes how to start model training in ReNomIMG.
6.How to use model for prediction.
Following video describes how to use model for prediction in ReNomIMG.
Format of xml file.
The format of the xml file which created by ReNomTAG follows PASCAL VOC format.