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Copy pathEfficientNMSPlugin_PluginConfig.yaml
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EfficientNMSPlugin_PluginConfig.yaml
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#
# SPDX-FileCopyrightText: Copyright (c) 2022-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
---
name: EfficientNMS_TRT
interface: "IPluginV2DynamicExt"
versions:
"1":
inputs:
- boxes
- scores
- anchors
outputs:
- num_detections
- detection_boxes
- detection_scores
- detection_classes
attributes:
- score_threshold
- iou_threshold
- max_output_boxes
- background_class
- score_activation
- class_agnostic
- box_coding
attribute_types:
score_threshold: float32
iou_threshold: float32
max_output_boxes: int32
background_class: int32
score_activation: int32
class_agnostic: int32
box_coding: int32
attribute_length:
score_threshold: 1
iou_threshold: 1
max_output_boxes: 1
background_class: 1
score_activation: 1
class_agnostic: 1
box_coding: 1
attribute_options:
score_threshold:
min: "=0"
max: "=pinf"
iou_threshold:
min: "0"
max: "=pinf"
max_output_boxes:
min: "0"
max: "=pinf"
background_class:
min: "=ninf"
max: "=pinf"
score_activation:
- 0
- 1
class_agnostic:
- 0
- 1
box_coding:
- 0
- 1
attributes_required:
- score_threshold
- iou_threshold
- max_output_boxes
- background_class
- score_activation
- box_coding
golden_io_path: "plugin/efficientNMSPlugin/EfficientNMSPlugin_PluginGoldenIO.json"
abs_tol: 1e-5
rel_tol: 1e-5
configs:
config1:
input_types:
boxes: float32
scores: float32
attribute_options:
"background_class":
value: -1
shape: "1"
"score_activation":
value: 0
shape: "1"
"class_agnostic":
value: 0
shape: "1"
"box_coding":
value: 0
shape: "1"
output_types:
num_detections: int32
detection_boxes: float32
class_agnostic:
input_types:
boxes: float32
scores: float32
attribute_options:
"background_class":
value: -1
shape: "1"
"score_activation":
value: 0
shape: "1"
"class_agnostic":
value: 1
shape: "1"
"box_coding":
value: 0
shape: "1"
output_types:
num_detections: int32
detection_boxes: float32