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[Backend And DOC] 改进ppseg文档 + 为RKNPU2后端新增对多输入模型的支持 (#491)
* 11-02/14:35 * 新增输入数据format错误判断 * 优化推理过程,减少内存分配次数 * 支持多输入rknn模型 * rknn模型输出shape为三维时,输出将被强制对齐为4纬。现在将直接抹除rknn补充的shape,方便部分对输出shape进行判断的模型进行正确的后处理。 * 11-03/17:25 * 支持导出多输入RKNN模型 * 更新各种文档 * ppseg改用Fastdeploy中的模型进行转换 * 11-03/17:25 * 新增开源头 * 11-03/21:48 * 删除无用debug代码,补充注释
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@@ -1,3 +1,16 @@
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# 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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@@ -30,7 +43,11 @@ 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, params_file, config_file, runtime_option=runtime_option,model_format=fd.ModelFormat.RKNN)
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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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model.disable_normalize_and_permute()
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