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* 10-29/14:05 * 新增cmake * 新增rknpu2 backend * 10-29/14:43 * Runtime fd_type新增RKNPU代码 * 10-29/15:02 * 新增ppseg RKNPU2推理代码 * 10-29/15:46 * 新增ppseg RKNPU2 cpp example代码 * 10-29/15:51 * 新增README文档 * 10-29/15:51 * 按照要求修改部分注释以及变量名称 * 10-29/15:51 * 修复重命名之后，cc文件中的部分代码还用旧函数名的bug * 10-29/22:32 * str(Device::NPU)将输出NPU而不是UNKOWN * 修改runtime文件中的注释格式 * 新增Building Summary ENABLE_RKNPU2_BACKEND输出 * pybind新增支持rknpu2 * 新增python编译选项 * 新增PPSeg Python代码 * 新增以及更新各种文档 * 10-30/14:11 * 尝试修复编译cuda时产生的错误 * 10-30/19:27 * 修改CpuName和CoreMask层级 * 修改ppseg rknn推理层级 * 图片将移动到网络进行下载 * 10-30/19:39 * 更新文档 * 10-30/19:39 * 更新文档 * 更新ppseg rknpu2 example中的函数命名方式 * 更新ppseg rknpu2 example为一个cc文件 * 修复disable_normalize_and_permute部分的逻辑错误 * 移除rknpu2初始化时的无用参数 * 10-30/19:39 * 尝试重置python代码 * 10-30/10:16 * rknpu2_config.h文件不再包含rknn_api头文件防止出现导入错误的问题 * 10-31/14:31 * 修改pybind，支持最新的rknpu2 backends * 再次支持ppseg python推理 * 移动cpuname 和 coremask的层级 * 10-31/15:35 * 尝试修复rknpu2导入错误 * 10-31/19:00 * 新增RKNPU2模型导出代码以及其对应的文档 * 更新大量文档错误 * 10-31/19:00 * 现在编译完fastdeploy仓库后无需重新设置RKNN2_TARGET_SOC * 10-31/19:26 * 修改部分错误文档 * 10-31/19:26 * 修复错误删除的部分 * 修复各种错误文档 * 修复FastDeploy.cmake在设置RKNN2_TARGET_SOC错误时，提示错误的信息 * 修复rknpu2_backend.cc中存在的中文注释 * 10-31/20:45 * 删除无用的注释 * 10-31/20:45 * 按照要求修改Device::NPU为Device::RKNPU，硬件将共用valid_hardware_backends * 删除无用注释以及debug代码 * 11-01/09:45 * 更新变量命名方式 * 11-01/10:16 * 修改部分文档，修改函数命名方式 Co-authored-by: Jason <jiangjiajun@baidu.com>
76 lines
2.7 KiB
Python
76 lines
2.7 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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# 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 os
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import yaml
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import argparse
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from rknn.api import RKNN
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def get_config():
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parser = argparse.ArgumentParser()
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parser.add_argument("--verbose", default=True, help="rknntoolkit verbose")
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parser.add_argument("--config_path")
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args = parser.parse_args()
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return args
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if __name__ == "__main__":
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config = get_config()
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with open(config.config_path) as file:
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file_data = file.read()
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yaml_config = yaml.safe_load(file_data)
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print(yaml_config)
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model = RKNN(config.verbose)
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# Config
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mean_values = [[255 * mean for mean in yaml_config["normalize"]["mean"]]]
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std_values = [[255 * std for std in yaml_config["normalize"]["std"]]]
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model.config(mean_values=mean_values,
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std_values=std_values,
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target_platform=yaml_config["target_platform"])
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# Load ONNX model
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print(type(yaml_config["outputs"]))
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print("yaml_config[\"outputs\"] = ", yaml_config["outputs"])
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if yaml_config["outputs"] == "None":
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ret = model.load_onnx(model=yaml_config["model_path"])
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else:
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ret = model.load_onnx(model=yaml_config["model_path"],
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outputs=yaml_config["outputs"])
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assert ret == 0, "Load model failed!"
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# Build model
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ret = model.build(do_quantization=None)
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assert ret == 0, "Build model failed!"
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# Init Runtime
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ret = model.init_runtime()
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assert ret == 0, "Init runtime environment failed!"
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# Export
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if not os.path.exists(yaml_config["output_folder"]):
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os.mkdir(yaml_config["output_folder"])
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model_base_name = os.path.basename(yaml_config["model_path"]).split(".")[0]
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model_device_name = yaml_config["target_platform"].lower()
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model_save_name = model_base_name + "_" + model_device_name + ".rknn"
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ret = model.export_rknn(
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os.path.join(yaml_config["output_folder"], model_save_name))
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assert ret == 0, "Export rknn model failed!"
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print("Export OK!")
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