Microsoft.ML.TorchSharp.AutoFormerV2 Namespace
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Classes
| Anchors |
Anchor boxes are a set of predefined bounding boxes of a certain height and width, whose location and size can be adjusted by the regression head of model. |
| Attention |
The Attention layer. |
| AutoFormerV2 |
The object detection network based on AutoFormerV2 backbone which is pretrained only in MS COCO dataset. The network contains 3 scales with different parameters: small for 11MB, medium for 21MB and large for 41MB. |
| AutoFormerV2Backbone |
The backbone of AutoFormerV2 object detection network. |
| AutoFormerV2Block |
The block module of AutoFormer network. |
| BasicLayer |
The basic layer. |
| Conv2dBN |
The Convolution and BN module. |
| ConvLayer |
The layer of convolution blocks in AutoFormer network. |
| ConvModule |
The convolution and activation module. |
| FPN |
The FPN (Feature Pyramid Networks) layer. |
| MBConv |
The MBConv layer. |
| MLP |
The MLP (Multilayer Perceptron) layer. |
| ObjectDetectionMetrics | |
| ObjectDetectionTrainer | |
| ObjectDetectionTrainer.Options | |
| ObjectDetectionTransformer | |
| PatchEmbed |
The PatchEmbed layer. |
| PatchMerging |
The PatchMerging layer. |
| RetinaHead |
The head of RetinaNet. |
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