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hub / github.com/BertaBescos/DynaSLAM / data_generator

Function data_generator

src/python/model.py:1483–1632  ·  view source on GitHub ↗

A generator that returns images and corresponding target class ids, bounding box deltas, and masks. dataset: The Dataset object to pick data from config: The model config object shuffle: If True, shuffles the samples before every epoch augment: If True, applies image augmentati

(dataset, config, shuffle=True, augment=True, random_rois=0,
                   batch_size=1, detection_targets=False)

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Callers 1

trainMethod · 0.85

Calls 6

load_image_gtFunction · 0.85
build_rpn_targetsFunction · 0.85
generate_random_roisFunction · 0.85
build_detection_targetsFunction · 0.85
mold_imageFunction · 0.85
copyMethod · 0.80

Tested by

no test coverage detected