wehub-resource-sync
79 lines
3.5 KiB
Markdown
79 lines
3.5 KiB
Markdown
# DetectionLayer Plugin [DEPRECATED]
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**This plugin is deprecated since TensorRT 10.12 and will be removed in a future release. No alternatives are planned to be provided.**
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**Table Of Contents**
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- [Description](#description)
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* [Structure](#structure)
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- [Parameters](#parameters)
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- [Additional resources](#additional-resources)
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- [License](#license)
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- [Changelog](#changelog)
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- [Known issues](#known-issues)
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## Description
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The `DetectionLayer` plugin performs bounding boxes refinement of MaskRCNN's detection head and generate the final detection output of MaskRCNN. It is used in sampleMaskRCNN.
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### Structure
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This plugin supports the NCHW format. It takes three input tensors: `delta_bbox`, `score` and `roi`
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`delta_bbox` is the refinement information of roi boxes generated from `ProposalLayer`. `delta_bbox` tensor's shape is `[N, rois, num_classes*4, 1, 1]` where `N` is batch size,
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`rois` is the total number of ROI boxes candidates per image, and `num_classes*4` means 4 refinement elements (`[dy, dx, dh, dw]`) for each roi box as different classes.
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`score` is the predicted class scores of ROI boxes generated from `ProposalLayer` of shape `[N, rois, num_classes, 1, 1]`. There is `argmax`operation in `Detectionlayer` to determine the final class of detection
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candidates.
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`roi` is the coordinates of ROI boxes candidates from `ProposalLayer` of shape `[N, rois, 4]`.
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This plugin generates output of shape `[N, keep_topk, 6]` where `keep_topk` is the maximum number of detections left after NMS and '6' means 6 elements of an detection `[y1, x1, y2, x2,
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class_label, score]`
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## Parameters
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This plugin has the plugin creator class `DetectionlayerPluginCreator` and the plugin class `Detectionlayer`.
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The following parameters were used to create `Detectionlayer` instance:
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| Type | Parameter | Description
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|--------------------|------------------------------------|--------------------------------------------------------
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|`int` |`num_classes` |Number of detection classes(including `background`). `num_classes=81` for COCO dataset
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|`int` |`keep_topk` |Number of detections will be kept after NMS.
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|`float` |`score_threshold` |Confidence threshold value. This plugin will drop a detection if its class confidence(score) is under "score_threshold".
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|`float` |`iou_threshold` |IOU threshold value used in NMS.
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## Limitations
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The number of anchors is capped at 1024 to support embedded devices with smaller shared memory capacity.
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To enable support for a device with higher memory, calls to `sortPerClass`, `PerClassNMS` and `KeepTopKGather` can be modified in `RefineBatchClassNMS` ([maskRCNNKernels.cu](https://github.com/NVIDIA/TensorRT/blob/main/plugin/common/kernels/maskRCNNKernels.cu)).
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## Additional resources
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The following resources provide a deeper understanding of the `Detectionlayer` plugin:
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- [MaskRCNN](https://github.com/matterport/Mask_RCNN)
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## License
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For terms and conditions for use, reproduction, and distribution, see the [TensorRT Software License Agreement](https://docs.nvidia.com/deeplearning/sdk/tensorrt-sla/index.html)
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documentation.
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## Changelog
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May 2025
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Add deprecation note.
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January 2022: The [Limitations](#limitations) section was added to this `README.md` file to document limitations of the plugin related to the maximum number of anchors it can support.
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June 2019: First release of this `README.md` file.
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## Known issues
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There are no known issues in this plugin.
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