datadings.sets.VOC2012_write module

usage: VOC2012_write.py [-h] [-o PATH] [-y] [-s] [–shuffle {yes,no}]

[–calculate-weights] INDIR

Create Pascal VOC 2012 dataset files.

This tool will look for the following files in the input directory and download them if necessary:

  • VOCtrainval_11-May-2012.tar

See also

http://host.robots.ox.ac.uk/pascal/VOC/voc2012/

Important

Samples have the following keys:

  • "key"

  • "image"

  • "label_image"

Positional arguments

INDIR Directory that contains dataset source files.

options:
-h, --help

show this help message and exit

-o PATH, --outdir PATH

Output directory. Defaults to indir.

-y, --no-confirm

Don’t require user interaction.

-s, --skip-verification

Skip verification of source files.

–shuffle {yes,no} Write samples in random order. (default: yes) –calculate-weights Calculate median-frequency class weights.

datadings.sets.VOC2012_write.array_to_imagedata(im, format, **kwargs)[source]
datadings.sets.VOC2012_write.calculate_set_weights(files)[source]
datadings.sets.VOC2012_write.class_counts(gen, **kwargs)[source]
datadings.sets.VOC2012_write.extract(tar, path)[source]
datadings.sets.VOC2012_write.extractmember(tar, member)[source]
datadings.sets.VOC2012_write.get_imageset(tar, path)[source]
datadings.sets.VOC2012_write.imagedata_to_array(data)[source]
datadings.sets.VOC2012_write.main()[source]
datadings.sets.VOC2012_write.map_color_image(im)[source]
datadings.sets.VOC2012_write.print_values(prefix, values)[source]
datadings.sets.VOC2012_write.single_value(a)[source]
datadings.sets.VOC2012_write.sorted_values(d)[source]
datadings.sets.VOC2012_write.write_image(writer, filename, im, seg)[source]
datadings.sets.VOC2012_write.write_set(tar, split, outdir, args)[source]
datadings.sets.VOC2012_write.write_sets(files, outdir, args)[source]