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	188dcedc02
	
	
	
		
			
			* 修复picodet格式 * * 修正错误文档 * 修复rknpu2 backend后端的部分错误 * 更新pphumanseg example格式 * * 更新pphumanseg example格式 * * 更新picodet example格式 * * 更新scrfd example格式 * * 更新ppseg rknpu2 python example中的错误 * * 修复代码格式问题 * * 修复代码格式问题 * * 修复代码格式问题 * * 修复代码格式问题 * * 修复代码格式问题 * * 修复代码格式问题 Co-authored-by: Jason <jiangjiajun@baidu.com>
		
			
				
	
	
		
			62 lines
		
	
	
		
			1.7 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			62 lines
		
	
	
		
			1.7 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| # Copyright (c) 2022 PaddlePaddle Authors. 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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| import fastdeploy as fd
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| import cv2
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| import os
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| 
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| 
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| def parse_arguments():
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|     import argparse
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|     import ast
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|     parser = argparse.ArgumentParser()
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|     parser.add_argument(
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|         "--model_file", required=True, help="Path of PaddleSeg model.")
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|     parser.add_argument(
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|         "--config_file", required=True, help="Path of PaddleSeg config.")
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|     parser.add_argument(
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|         "--image", type=str, required=True, help="Path of test image file.")
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|     return parser.parse_args()
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| 
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| 
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| def build_option(args):
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|     option = fd.RuntimeOption()
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|     option.use_rknpu2()
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|     return option
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| 
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| 
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| args = parse_arguments()
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| 
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| # 配置runtime,加载模型
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| runtime_option = build_option(args)
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| model_file = args.model_file
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| params_file = ""
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| config_file = args.config_file
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| model = fd.vision.segmentation.PaddleSegModel(
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|     model_file,
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|     params_file,
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|     config_file,
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|     runtime_option=runtime_option,
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|     model_format=fd.ModelFormat.RKNN)
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| 
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| model.preprocessor.disable_normalize_and_permute()
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| 
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| # 预测图片分割结果
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| im = cv2.imread(args.image)
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| result = model.predict(im)
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| print(result)
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| 
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| # 可视化结果
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| vis_im = fd.vision.vis_segmentation(im, result, weight=0.5)
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| cv2.imwrite("vis_img.png", vis_im)
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