fiftyone.utils.tf.TFObjectDetectionExampleGenerator

class documentation

class TFObjectDetectionExampleGenerator(TFExampleGenerator): (source)

Class for generating tf.train.Example protos for samples in TF Object Detection API format.

See :ref:`this page <TFObjectDetectionDataset-export>` for format details.

Parameters
force_rgb	whether to force convert all images to RGB
classes	the list of possible class labels

Method	`__init__`	Undocumented
Method	`make_tf_example`	Makes a `tf.train.Example` for the given data.
Instance Variable	`classes`	Undocumented
Instance Variable	`_dynamic_classes`	Undocumented
Instance Variable	`_labels_map_rev`	Undocumented

Method _parse_image_or_path Undocumented

def __init__(self, force_rgb=False, classes=None): (source) ¶

overrides fiftyone.utils.tf.TFExampleGenerator.__init__

Undocumented

def make_tf_example(self, image_or_path, detections, filename=None): (source) ¶

overrides fiftyone.utils.tf.TFExampleGenerator.make_tf_example

Makes a tf.train.Example for the given data.

Parameters
image_or_path	an image or the path to the image on disk
detections	a `fiftyone.core.labels.Detections` instance, or `None`
filename:`None`	a filename for the image. Required when `image_or_path` is an image, in which case the extension of this filename determines the encoding used. If `image_or_path` is the path to an image, this is optional; by default, the basename of `image_path` is used
Returns
a `tf.train.Example`

Undocumented

Undocumented

Undocumented