wehub-resource-sync
128 lines
3.1 KiB
YAML
128 lines
3.1 KiB
YAML
#
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# SPDX-FileCopyrightText: Copyright (c) 2022-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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---
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name: EfficientNMS_TRT
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interface: "IPluginV2DynamicExt"
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versions:
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"1":
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inputs:
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- boxes
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- scores
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- anchors
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outputs:
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- num_detections
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- detection_boxes
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- detection_scores
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- detection_classes
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attributes:
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- score_threshold
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- iou_threshold
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- max_output_boxes
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- background_class
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- score_activation
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- class_agnostic
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- box_coding
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attribute_types:
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score_threshold: float32
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iou_threshold: float32
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max_output_boxes: int32
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background_class: int32
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score_activation: int32
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class_agnostic: int32
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box_coding: int32
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attribute_length:
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score_threshold: 1
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iou_threshold: 1
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max_output_boxes: 1
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background_class: 1
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score_activation: 1
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class_agnostic: 1
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box_coding: 1
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attribute_options:
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score_threshold:
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min: "=0"
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max: "=pinf"
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iou_threshold:
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min: "0"
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max: "=pinf"
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max_output_boxes:
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min: "0"
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max: "=pinf"
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background_class:
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min: "=ninf"
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max: "=pinf"
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score_activation:
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- 0
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- 1
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class_agnostic:
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- 0
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- 1
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box_coding:
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- 0
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- 1
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attributes_required:
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- score_threshold
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- iou_threshold
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- max_output_boxes
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- background_class
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- score_activation
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- box_coding
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golden_io_path: "plugin/EfficientNMSPlugin_PluginGoldenIO.json"
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abs_tol: 1e-5
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rel_tol: 1e-5
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configs:
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config1:
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input_types:
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boxes: float32
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scores: float32
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attribute_options:
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"background_class":
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value: -1
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shape: "1"
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"score_activation":
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value: 0
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shape: "1"
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"class_agnostic":
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value: 0
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shape: "1"
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"box_coding":
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value: 0
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shape: "1"
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output_types:
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num_detections: int32
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detection_boxes: float32
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class_agnostic:
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input_types:
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boxes: float32
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scores: float32
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attribute_options:
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"background_class":
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value: -1
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shape: "1"
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"score_activation":
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value: 0
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shape: "1"
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"class_agnostic":
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value: 1
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shape: "1"
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"box_coding":
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value: 0
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shape: "1"
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output_types:
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num_detections: int32
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detection_boxes: float32
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