Compute priorbox coordinates in center-offset form for each source feature map. Note: This 'layer' has changed between versions of the ori

Defines the transformations that should be applied to test PIL image for input into the network dimension -> tensorize -> color adj

At test time, Detect is the final layer of SSD. Decode location preds, apply non-maximum suppression to location predictions based on conf sc

A simple timer.

Transforms a VOC annotation into a Tensor of bbox coords and label index Initilized with a dictionary lookup of classnames to indexes Argumen

A facility for config and config files. It supports common file formats as configs: python/json/yaml. The interface is the same as a dict ob

SSD Weighted Loss Function Compute Targets: 1) Produce Confidence Target Indices by matching ground truth boxes with (default)

Params for coco evaluation api

Base class for bottlenecks that implements `forward()` method.

Bottleneck for SENet154.

ResNeXt bottleneck type C with a Squeeze-and-Excitation module.

ResNet bottleneck with a Squeeze-and-Excitation module. It follows Caffe implementation and uses `stride=stride` in `conv1` and not in `conv2

VOC Detection Dataset Object input is image, target is annotation Arguments: root (string): filepath to VOCdevkit folder. im

VOC Segmentation Dataset Object input and target are both images NOTE: need to address https://github.com/pytorch/vision/issues/9 Argume