1. Quick start with example dataset

Let’s use ReNomIMG with example dataset.

We use PASCAL VOC dataset as an example.

The PASCAL Visual Object Classes (VOC) Challenge
Everingham, M., Van Gool, L., Williams, C. K. I., Winn, J. and Zisserman, A.
International Journal of Computer Vision, 88(2), 303-338, 2010


1.1. Prepare Dataset

First we need to prepare image dataset. Here we use Pascal VOC dataset . You can setup the data only running following command.

# This command will download the data and align it to current directory.
renom_img setup_example

# ### Setup a example dataset ###
# 1/7: Downloading voc dataset.
# 2/7: Extracting tar file.
# 3/7: Moving image data to datasrc/img...
# 4/7: Moving image data to datasrc/prediction_set/img...
# 5/7: Moving xml data to datasrc/label/detection...
# 6/7: Moving segmentation target data to datasrc/label/segmentation...
# 7/7: Creating classification target data to datasrc/label/classification...
# Setup done.

You will see the datasrc and storage directory that are created to current directory.

1.2. Run ReNomIMG

After the data preparation, run the ReNomIMG server. Following code runs ReNomIMG with port 8080.

renom_img --port 8080

Next, let’s move on next settion “How to use ReNomIMG GUI”.