【Error】跑CNN程序时遇到的error(持续更新)

港控/mmm° 2022-06-12 00:42 111阅读 0赞

## 前言 ##

记性不好，把一些error记录一下，没准什么时候又遇到了。

## IndentationError ##

### 记录时间：2017.08.10 ###

错误提示：

IndentationError: unexpected indent

错误原因：python对代码格式要求严格，很可能是因为代码格式错误导致问题，检查一下有没有注释符破坏代码格式

## ImportError ##

### 记录时间：2017.08.07 ###

错误描述：在安装人脸识别库face\_recognition时，import错误

错误提示：

Traceback (most recent call last):
      File "find_faces_in_picture.py", line 2, in <module>
        import face_recognition
      File "/usr/local/lib/python3.6/site-packages/face_recognition/__init__.py", line 7, in <module>
        from .api import load_image_file, face_locations, face_landmarks, face_encodings, compare_faces, face_distance
      File "/usr/local/lib/python3.6/site-packages/face_recognition/api.py", line 4, in <module>
        import dlib
      File "/usr/local/lib/python3.6/site-packages/dlib-19.4.99-py3.6-macosx-10.11-x86_64.egg/dlib/__init__.py", line 1, in <module>
        from .dlib import *
    ImportError: dlopen(/usr/local/lib/python3.6/site-packages/dlib-19.4.99-py3.6-macosx-10.11-x86_64.egg/dlib/dlib.so, 2): Symbol not found: _PyClass_Type
      Referenced from: /usr/local/opt/boost-python/lib/libboost_python-mt.dylib
      Expected in: flat namespace
     in /usr/local/opt/boost-python/lib/libboost_python-mt.dylib

解决办法：可能由于本机多版本的Python环境，使得安装的依赖boost-python为python2版本，改成python3版本就可以了，之后需要重新执行cmake，代码如下：

brew uninstall boost-python
    brew install boost-python --with-python3 --without-python
    git clone https://github.com/davisking/dlib.git
    cd dlib
    mkdir build; cd build; cmake .. -DDLIB_USE_CUDA=0 -DUSE_AVX_INSTRUCTIONS=1; cmake --build .
    cd ..
    python3 setup.py install --yes USE_AVX_INSTRUCTIONS --no DLIB_USE_CUDA

### 记录时间：2017.07.11 ###

错误提示：

ImportError:
    Importing the multiarray numpy extension module failed. Most
    likely you are trying to import a failed build of numpy.
    If you're working with a numpy git repo, try `git clean -xdf` (removes all
    files not under version control). Otherwise reinstall numpy.

解决办法：因为多版本python影响numpy调用，pip uninstall numpy；pip install numpy之后就好了