将TensorFlow快速R冻结图转换为英特尔openVINO框架时出现的内部错误

Question

我安装了openVINO的英特尔分布，在神经计算棒v2上运行推理。这是成功的，我们的家庭培训的TensorFlow SSD模型。然而，棍子没有处理任何我们更快的R架构。为了解决这个问题，我尝试使用windows 10安装中包含的模型优化器将TensorFlow1.13更快的R resnet101模型转换为OpenVINO框架。在转换过程中，我得到了以下错误：

[ ERROR ]  -------------------------------------------------
[ ERROR ]  ----------------- INTERNAL ERROR ----------------
[ ERROR ]  Unexpected exception happened.
[ ERROR ]  Please contact Model Optimizer developers and forward the following information:
[ ERROR ]  [Errno 13] Permission denied: 'C:\\Program Files (x86)\\IntelSWTools\\openvino\\deployment_tools\\model_optimizer\\.\\frozen_inference_graph.bin'
[ ERROR ]  Traceback (most recent call last):
  File "C:\Program Files (x86)\IntelSWTools\openvino\deployment_tools\model_optimizer\mo\main.py", line 309, in main
    ret_code = driver(argv)
  File "C:\Program Files (x86)\IntelSWTools\openvino\deployment_tools\model_optimizer\mo\main.py", line 270, in driver
    ret_res = emit_ir(prepare_ir(argv), argv)
  File "C:\Program Files (x86)\IntelSWTools\openvino\deployment_tools\model_optimizer\mo\main.py", line 254, in emit_ir
    meta_info=get_meta_info(argv))
  File "C:\Program Files (x86)\IntelSWTools\openvino\deployment_tools\model_optimizer\mo\pipeline\common.py", line 223, in prepare_emit_ir
    serialize_constants(graph, bin_file)
  File "C:\Program Files (x86)\IntelSWTools\openvino\deployment_tools\model_optimizer\mo\back\ie_ir_ver_2\emitter.py", line 43, in serialize_constants
    with open(bin_file_name, 'wb') as bin_file:
PermissionError: [Errno 13] Permission denied: 'C:\\Program Files (x86)\\IntelSWTools\\openvino\\deployment_tools\\model_optimizer\\.\\frozen_inference_graph.bin'

 
[ ERROR ]  ---------------- END OF BUG REPORT --------------
[ ERROR ]  -------------------------------------------------

有人能帮我吗？我们希望在英特尔的神经计算棒v2上运行更快的run。

Answer 1

这是要转换模型的目录的写入权限问题。由于您正在使用Windows，我向您建议两种方法：

打开命令提示符，并以Administrator.

• Change的形式运行到不需要管理员权限写入的目录，例如C:\Users\your-username\Desktop