mirror of
				https://github.com/PaddlePaddle/FastDeploy.git
				synced 2025-10-27 02:20:31 +08:00 
			
		
		
		
	
		
			
				
	
	
		
			72 lines
		
	
	
		
			3.1 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
			
		
		
	
	
			72 lines
		
	
	
		
			3.1 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
| // Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
 | |
| //
 | |
| // 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.
 | |
| 
 | |
| #pragma once
 | |
| 
 | |
| #define FD_ENUM(type)                                                          \
 | |
|   typedef int32_t type;                                                        \
 | |
|   enum
 | |
| 
 | |
| FD_ENUM(FD_C_ModelFormat){
 | |
|     FD_C_ModelFormat_AUTOREC,      ///< Auto recognize the model format by model file name
 | |
|     FD_C_ModelFormat_PADDLE,       ///< Model with paddlepaddle format
 | |
|     FD_C_ModelFormat_ONNX,         ///< Model with ONNX format
 | |
|     FD_C_ModelFormat_RKNN,         ///< Model with RKNN format
 | |
|     FD_C_ModelFormat_TORCHSCRIPT,  ///< Model with TorchScript format
 | |
|     FD_C_ModelFormat_SOPHGO,       ///< Model with SOPHGO format
 | |
| };
 | |
| 
 | |
| FD_ENUM(FD_C_rknpu2_CpuName){
 | |
|     FD_C_ModelFormat_RK356X = 0, /* run on RK356X. */
 | |
|     FD_C_ModelFormat_RK3588 = 1, /* default,run on RK3588. */
 | |
|     FD_C_ModelFormat_UNDEFINED,
 | |
| };
 | |
| 
 | |
| FD_ENUM(FD_C_rknpu2_CoreMask){
 | |
|     FD_C_ModelFormat_RKNN_NPU_CORE_AUTO = 0,  //< default, run on NPU core randomly.
 | |
|     FD_C_ModelFormat_RKNN_NPU_CORE_0 = 1,     //< run on NPU core 0.
 | |
|     FD_C_ModelFormat_RKNN_NPU_CORE_1 = 2,     //< run on NPU core 1.
 | |
|     FD_C_ModelFormat_RKNN_NPU_CORE_2 = 4,     //< run on NPU core 2.
 | |
|     FD_C_ModelFormat_RKNN_NPU_CORE_0_1 = FD_C_ModelFormat_RKNN_NPU_CORE_0 |
 | |
|                         FD_C_ModelFormat_RKNN_NPU_CORE_1,  //< run on NPU core 1 and core 2.
 | |
|     FD_C_ModelFormat_RKNN_NPU_CORE_0_1_2 = FD_C_ModelFormat_RKNN_NPU_CORE_0_1 |
 | |
|                           FD_C_ModelFormat_RKNN_NPU_CORE_2,  //< run on NPU core 1 and core 2.
 | |
|     FD_C_ModelFormat_RKNN_NPU_CORE_UNDEFINED,
 | |
| };
 | |
| 
 | |
| FD_ENUM(FD_C_LitePowerMode){
 | |
|     FD_C_ModelFormat_LITE_POWER_HIGH = 0,       ///< Use Lite Backend with high power mode
 | |
|     FD_C_ModelFormat_LITE_POWER_LOW = 1,        ///< Use Lite Backend with low power mode
 | |
|     FD_C_ModelFormat_LITE_POWER_FULL = 2,       ///< Use Lite Backend with full power mode
 | |
|     FD_C_ModelFormat_LITE_POWER_NO_BIND = 3,    ///< Use Lite Backend with no bind power mode
 | |
|     FD_C_ModelFormat_LITE_POWER_RAND_HIGH = 4,  ///< Use Lite Backend with rand high mode
 | |
|     FD_C_ModelFormat_LITE_POWER_RAND_LOW = 5    ///< Use Lite Backend with rand low power mode
 | |
| };
 | |
| 
 | |
| FD_ENUM(FD_C_ResultType){
 | |
|     FD_C_ModelFormat_UNKNOWN_RESULT,
 | |
|     FD_C_ModelFormat_CLASSIFY,
 | |
|     FD_C_ModelFormat_DETECTION,
 | |
|     FD_C_ModelFormat_SEGMENTATION,
 | |
|     FD_C_ModelFormat_OCR,
 | |
|     FD_C_ModelFormat_MOT,
 | |
|     FD_C_ModelFormat_FACE_DETECTION,
 | |
|     FD_C_ModelFormat_FACE_ALIGNMENT,
 | |
|     FD_C_ModelFormat_FACE_RECOGNITION,
 | |
|     FD_C_ModelFormat_MATTING,
 | |
|     FD_C_ModelFormat_MASK,
 | |
|     FD_C_ModelFormat_KEYPOINT_DETECTION,
 | |
|     FD_C_ModelFormat_HEADPOSE,
 | |
| };
 | 
