Types & classes — github.com/bruceyang2012/Face-detection-with-mobilenet-ssd

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Types & classes7 in github.com/bruceyang2012/Face-detection-with-mobilenet-ssd

⨍ Functions 57 ◇ Types & classes 7

↓ 6 callersClassAnchorBoxes

A Keras layer to create an output tensor containing anchor box coordinates based on the input tensor and the passed arguments. A set of

keras_layer_AnchorBoxes.py:27

↓ 2 callersClassDepthwiseConv2D

↓ 1 callersClassL2Normalization

Performs L2 normalization on the input tensor with a learnable scaling parameter as described in the paper "Parsenet: Looking Wider to See Be

keras_layer_L2Normalization.py:25

↓ 1 callersClassScaling

mn_model.py:237

ClassBatchGenerator

A generator to generate batches of samples and corresponding labels indefinitely. The labels are read from a CSV file. Shuffles the dat

face_generator.py:217

ClassSSDBoxEncoder

A class to transform ground truth labels for object detection in images (2D bounding box coordinates and class labels) to the format required

ssd_box_encode_decode_utils.py:435

The SSD loss, see https://arxiv.org/abs/1512.02325.

keras_ssd_loss.py:23