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42 lines
1.3 KiB
C
42 lines
1.3 KiB
C
// Copyright (c) 2023 by Rockchip Electronics Co., Ltd. All Rights Reserved.
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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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#ifndef _RKNN_DEMO_YOLOV8_H_
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#define _RKNN_DEMO_YOLOV8_H_
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#include "rknn_api.h"
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#include "common.h"
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typedef struct {
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rknn_context rknn_ctx;
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rknn_input_output_num io_num;
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rknn_tensor_attr* input_attrs;
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rknn_tensor_attr* output_attrs;
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int model_channel;
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int model_width;
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int model_height;
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bool is_quant;
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} rknn_app_context_t;
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#include "postprocess.h"
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int init_yolov8_model(const char* model_path, rknn_app_context_t* app_ctx);
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int release_yolov8_model(rknn_app_context_t* app_ctx);
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int inference_yolov8_model(rknn_app_context_t* app_ctx, image_buffer_t* img, object_detect_result_list* od_results);
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#endif //_RKNN_DEMO_YOLOV8_H_
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