80 lines
2.1 KiB
Plaintext
80 lines
2.1 KiB
Plaintext
################################################################################
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# SPDX-FileCopyrightText: Copyright (c) 2019-2023 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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infer_config {
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unique_id: 1
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gpu_ids: [0]
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max_batch_size: 1
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backend {
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inputs: [ {
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name: "input_1:0"
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}]
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outputs: [
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{name: "output_bbox/BiasAdd:0"},
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{name: "output_cov/Sigmoid:0"}
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]
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triton {
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model_name: "peoplenet"
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version: -1
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model_repo {
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root: "/opt/nvidia/deepstream/deepstream/samples/models/"
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strict_model_config: true
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}
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}
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}
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preprocess {
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network_format: IMAGE_FORMAT_RGB
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tensor_order: TENSOR_ORDER_LINEAR
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tensor_name: "input_1:0"
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maintain_aspect_ratio: 0
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frame_scaling_hw: FRAME_SCALING_HW_DEFAULT
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frame_scaling_filter: 1
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normalize {
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scale_factor: 0.0039215697906911373
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channel_offsets: [0, 0, 0]
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}
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}
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postprocess {
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labelfile_path: "/opt/nvidia/deepstream/deepstream/samples/models/peoplenet/labels.txt"
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detection {
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num_detected_classes: 4
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per_class_params {
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key: 0
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value { pre_threshold: 0.4 }
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}
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nms {
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confidence_threshold:0.2
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topk:20
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iou_threshold:0.5
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}
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}
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}
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extra {
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copy_input_to_host_buffers: false
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output_buffer_pool_size: 2
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}
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}
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input_control {
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process_mode: PROCESS_MODE_FULL_FRAME
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operate_on_gie_id: -1
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interval: 0
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}
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