yolo3_generator: Generates batches of data (images and box...

In maju116/platypus: Tools for Computer Vision in R

Description

Generates batches of data (images and box coordinates/scores). The data will be looped over (in batches).

Usage

yolo3_generator(
  annot_path,
  images_path,
  only_images = FALSE,
  net_h = 416,
  net_w = 416,
  annot_format = "pascal_voc",
  grayscale = FALSE,
  scale = 1/255,
  anchors = coco_anchors,
  labels = coco_labels,
  batch_size = 32,
  shuffle = TRUE
)

Arguments

annot_path	Annotations directory.
images_path	Images directory.
only_images	Should generator read only images (e.g. on train set for predictions).
net_h	Input layer height. Must be divisible by '32'.
net_w	Input layer width. Must be divisible by '32'.
annot_format	Annotations format. One of 'pascal_voc', 'labelme'.
grayscale	Defines input layer color channels - '1' if 'TRUE', '3' if 'FALSE'.
scale	Scaling factor for images pixel values. Default to '1 / 255'.
anchors	Prediction anchors. For exact format check coco_anchors.
labels	Character vector containing class labels. For example coco_labels.
batch_size	Batch size.
shuffle	Should data be shuffled.

maju116/platypus documentation built on Oct. 18, 2020, 9:40 a.m.