如图 运行conda create -n py27 python=2.7 报错 该如何解决呢

Traceback (most recent call last):
File "E:\Anaconda3\lib\site-packages\conda\exceptions.py", line 1074, in call
return func(*args, **kwargs)
File "E:\Anaconda3\lib\site-packages\conda\cli\main.py", line 84, in main
exit_code = do_call(args, p)
File "E:\Anaconda3\lib\site-packages\conda\cli\conda_argparse.py", line 82, in do_call
exit_code = getattr(module, func_name)(args, parser)
File "E:\Anaconda3\lib\site-packages\conda\cli\main_create.py", line 37, in execute
install(args, parser, 'create')
File "E:\Anaconda3\lib\site-packages\conda\cli\install.py", line 116, in install
if context.use_only_tar_bz2:
File "E:\Anaconda3\lib\site-packages\conda\base\context.py", line 666, in use_only_tar_bz2
import conda_package_handling.api
File "E:\Anaconda3\lib\site-packages\conda_package_handling\api.py", line 3, in
from libarchive.exception import ArchiveError as _LibarchiveArchiveError
File "E:\Anaconda3\lib\site-packages\libarchive\
_init__.py", line 1, in
from .entry import ArchiveEntry
File "E:\Anaconda3\lib\site-packages\libarchive\entry.py", line 6, in
from . import ffi
File "E:\Anaconda3\lib\site-packages\libarchive\ffi.py", line 48, in
libarchive = ctypes.cdll.LoadLibrary(libarchive_path)
File "E:\Anaconda3\lib\ctypes__init__.py", line 434, in LoadLibrary
return self._dlltype(name)
File "E:\Anaconda3\lib\ctypes__init__.py", line 356, in init
self._handle = _dlopen(self._name, mode)
OSError: [WinError 126] 找不到指定的模块。

1个回答

python 2.7是否正确安装,环境变量是否配置正确

xiasli123
Tiám青年 我想用anaconda管理两个版本的python,环境变量配置了两个,但是只显示第一个,该如何解决
9 个月之前 回复
xiasli123
Tiám青年 C:\Users\asus>python Python 3.7.3 (default, Apr 24 2019, 15:29:51) [MSC v.1915 64 bit (AMD64)] :: Anaconda, Inc. on win32
9 个月之前 回复
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&emsp;&emsp;请问要如何在Anaconda中创建一个同时拥有Python 3.7.4与JupyterLab 1.1.4的环境? &emsp;&emsp;我在cmd中通过以下命令创建了一个Python 3.7.4环境: ```batch D:\Anaconda3\envs>conda create -n dp python=3.7 WARNING: A directory already exists at the target location 'D:\Anaconda3\envs\dp' but it is not a conda environment. Continue creating environment (y/[n])? y Collecting package metadata (current_repodata.json): done Solving environment: done ## Package Plan ## environment location: D:\Anaconda3\envs\dp added / updated specs: - python=3.7 The following NEW packages will be INSTALLED: ca-certificates anaconda/pkgs/main/win-64::ca-certificates-2019.8.28-0 certifi anaconda/pkgs/main/win-64::certifi-2019.9.11-py37_0 openssl anaconda/pkgs/main/win-64::openssl-1.1.1d-he774522_2 pip anaconda/pkgs/main/win-64::pip-19.2.3-py37_0 python anaconda/pkgs/main/win-64::python-3.7.4-h5263a28_0 setuptools anaconda/pkgs/main/win-64::setuptools-41.4.0-py37_0 sqlite anaconda/pkgs/main/win-64::sqlite-3.30.0-he774522_0 vc anaconda/pkgs/main/win-64::vc-14.1-h0510ff6_4 vs2015_runtime anaconda/pkgs/main/win-64::vs2015_runtime-14.16.27012-hf0eaf9b_0 wheel anaconda/pkgs/main/win-64::wheel-0.33.6-py37_0 wincertstore anaconda/pkgs/main/win-64::wincertstore-0.2-py37_0 ``` &emsp;&emsp;Python 3.7.4被成功安装,但当继续安装JupyterLab时,会出现以下问题: ```batch D:\Anaconda3\envs>activate dp D:\Anaconda3\envs>conda.bat activate dp (dp) D:\Anaconda3\envs>conda install jupyterlab Collecting package metadata (current_repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve. Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source. Collecting package metadata (repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve. Solving environment: | Found conflicts! Looking for incompatible packages. ... UnsatisfiableError: The following specifications were found to be incompatible with each other: Package tornado conflicts for: jupyterlab -> tornado[version='!=6.0.0,!=6.0.1,!=6.0.2'] Package jinja2 conflicts for: jupyterlab -> jinja2[version='>=2.10'] Package notebook conflicts for: jupyterlab -> notebook[version='>=4.3|>=4.3.1'] Package nodejs conflicts for: jupyterlab -> nodejs[version='<10'] Package sqlite conflicts for: python=3.7 -> sqlite[version='>=3.25.3,<4.0a0|>=3.26.0,<4.0a0|>=3.27.2,<4.0a0|>=3.28.0,<4.0a0|>=3.29.0,<4.0a0'] Package openssl conflicts for: python=3.7 -> openssl[version='>=1.1.1a,<1.1.2a|>=1.1.1b,<1.1.2a|>=1.1.1c,<1.1.2a'] Package pip conflicts for: python=3.7 -> pip Package jupyterlab_launcher conflicts for: jupyterlab -> jupyterlab_launcher[version='>=0.10.0,<0.11.0|>=0.11.0,<0.12.0|>=0.11.2,<0.12.0|>=0.13.1,<0.14.0|>=0.4.0|>=0.6.0,<0.7.0'] Package subprocess32 conflicts for: jupyterlab -> subprocess32 Package futures conflicts for: jupyterlab -> futures Package jupyterlab_server conflicts for: jupyterlab -> jupyterlab_server[version='>=0.2.0,<0.3.0|>=1.0.0,<2.0.0'] Package vc conflicts for: python=3.7 -> vc[version='14.*|>=14.1,<15.0a0'] ``` &emsp;&emsp;这个是什么问题?如何解决?感觉默认的base环境很庞大,很多东西用不到。但想要使用JupyterLab又不得不安装……

python virtualenv 创建python虚拟环境时报错

windows10 + python2.7.9 在桌面创建虚拟环境的时候出现: ``` C:\Users\我们都是小怪兽\Desktop>virtualenv myenv New python executable in C:\Users\我们都是小怪兽\Desktop\myenv\Scripts\python.exe Traceback (most recent call last): File "<string>", line 1, in <module> UnicodeDecodeError: 'ascii' codec can't decode byte 0xce in position 9: ordinal not in range(128) ERROR: The executable C:\Users\我们都是小怪兽\Desktop\myenv\Scripts\python.exe is not functioning ERROR: It thinks sys.prefix is u'c:\\users\\\u6211\u4eec\u90fd\u662f\u5c0f\u602a\u517d\\desktop' (should be u'c:\\users\\\u6211\u4eec\u90fd\u662f\u5c0f\u602a\u517d\\desktop\\myenv') ERROR: virtualenv is not compatible with this system or executable Note: some Windows users have reported this error when they installed Python for "Only this user" or have multiple versions of Python installed. Copying the appropriate PythonXX.dll to the virtualenv Scripts/ directory may fix this problem. ``` 除了桌面的其他目录出现这个: ``` PS C:\> cd D:\Coding\python PS D:\Coding\python> virtualenv env New python executable in D:\Coding\python\env\Scripts\python.exe Installing setuptools, pip, wheel... Complete output from command D:\Coding\python\env\Scripts\python.exe - setuptools pip wheel: Collecting setuptools Exception: Traceback (most recent call last): File "c:\python27\lib\site-packages\virtualenv_support\pip-8.0.2-py2.py3-none-any.whl\pip\basecommand.py", line 209, in main status = self.run(options, args) File "c:\python27\lib\site-packages\virtualenv_support\pip-8.0.2-py2.py3-none-any.whl\pip\commands\install.py", line 299, in run requirement_set.prepare_files(finder) File "c:\python27\lib\site-packages\virtualenv_support\pip-8.0.2-py2.py3-none-any.whl\pip\req\req_set.py", line 359, in prepare_files ignore_dependencies=self.ignore_dependencies)) File "c:\python27\lib\site-packages\virtualenv_support\pip-8.0.2-py2.py3-none-any.whl\pip\req\req_set.py", line 576, in _prepare_file session=self.session, hashes=hashes) File "c:\python27\lib\site-packages\virtualenv_support\pip-8.0.2-py2.py3-none-any.whl\pip\download.py", line 809, in unpack_url hashes=hashes File "c:\python27\lib\site-packages\virtualenv_support\pip-8.0.2-py2.py3-none-any.whl\pip\download.py", line 648, in unpack_http_url hashes) File "c:\python27\lib\site-packages\virtualenv_support\pip-8.0.2-py2.py3-none-any.whl\pip\download.py", line 868, in _download_http_url file_path = os.path.join(temp_dir, filename) File "D:\Coding\python\env\lib\ntpath.py", line 85, in join result_path = result_path + p_path UnicodeDecodeError: 'ascii' codec can't decode byte 0xce in position 7: ordinal not in range(128) ---------------------------------------- ...Installing setuptools, pip, wheel...done. Traceback (most recent call last): File "c:\python27\lib\runpy.py", line 162, in _run_module_as_main "__main__", fname, loader, pkg_name) File "c:\python27\lib\runpy.py", line 72, in _run_code exec code in run_globals File "C:\Python27\Scripts\virtualenv.exe\__main__.py", line 9, in <module> File "c:\python27\lib\site-packages\virtualenv.py", line 711, in main symlink=options.symlink) File "c:\python27\lib\site-packages\virtualenv.py", line 944, in create_environment download=download, File "c:\python27\lib\site-packages\virtualenv.py", line 900, in install_wheel call_subprocess(cmd, show_stdout=False, extra_env=env, stdin=SCRIPT) File "c:\python27\lib\site-packages\virtualenv.py", line 795, in call_subprocess % (cmd_desc, proc.returncode)) OSError: Command D:\Coding\python\env\Scripts\python.exe - setuptools pip wheel failed with error code 2 ``` 想不通是什么问题,求解。 补充:如果加上 --no setuptools就可以了 ``` PS D:\Coding\python> virtualenv myenv --no-setuptools New python executable in D:\Coding\python\myenv\Scripts\python.exe Installing pip, wheel...done. ```

安装完Anaconda3后,使用conda指令安装库文件出现问题

使用conda指令安装库文件出现问题 使用 conda install numpy 出现如下问题 ![图片说明](https://img-ask.csdn.net/upload/201902/27/1551255959_289601.jpg)

Python 用终端创建django项目时 提示 command not found

用终端创建django项目时 提示 django-admin: command not found 但是运行Python 导入django又可以 这是哪里出错了 而且之前有创建成功过

anaconda创建环境问题

在ubuntu18.04 LTS 下载anaconda3,添加清华网站镜像源后,用conda create -n habitat python=3.6 cmake=3.14.0指令创建环境失败,报错显示无发链接至清华镜像源的服务器。网络没有问题,也没有挂VPN,而且按照其他人的方法把镜像源渠道删除后重新添加也没有效果。有没有人知道这个问题怎么解决吗? Traceback (most recent call last): File "/home/chen/anaconda3/lib/python3.7/site-packages/conda/core/subdir_data.py", line 251, in _load raise UnavailableInvalidChannel(self.url_w_repodata_fn, 404) conda.exceptions.UnavailableInvalidChannel: The channel is not accessible or is invalid. channel name: anaconda/pkgs/free channel url: https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free error code: 404 You will need to adjust your conda configuration to proceed. Use `conda config --show channels` to view your configuration's current state, and use `conda config --show-sources` to view config file locations. During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/home/chen/anaconda3/lib/python3.7/site-packages/conda/core/subdir_data.py", line 248, in _load repodata_fn=self.repodata_fn) File "/home/chen/anaconda3/lib/python3.7/site-packages/conda/core/subdir_data.py", line 598, in fetch_repodata_remote_request raise Response304ContentUnchanged() conda.core.subdir_data.Response304ContentUnchanged During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/home/chen/anaconda3/lib/python3.7/site-packages/conda/exceptions.py", line 1079, in __call__ return func(*args, **kwargs) File "/home/chen/anaconda3/lib/python3.7/site-packages/conda/cli/main.py", line 84, in _main exit_code = do_call(args, p) File "/home/chen/anaconda3/lib/python3.7/site-packages/conda/cli/conda_argparse.py", line 82, in do_call return getattr(module, func_name)(args, parser) File "/home/chen/anaconda3/lib/python3.7/site-packages/conda/cli/main_create.py", line 37, in execute install(args, parser, 'create') File "/home/chen/anaconda3/lib/python3.7/site-packages/conda/cli/install.py", line 265, in install should_retry_solve=(_should_retry_unfrozen or repodata_fn != repodata_fns[-1]), File "/home/chen/anaconda3/lib/python3.7/site-packages/conda/core/solve.py", line 117, in solve_for_transaction should_retry_solve) File "/home/chen/anaconda3/lib/python3.7/site-packages/conda/core/solve.py", line 158, in solve_for_diff force_remove, should_retry_solve) File "/home/chen/anaconda3/lib/python3.7/site-packages/conda/core/solve.py", line 262, in solve_final_state ssc = self._collect_all_metadata(ssc) File "/home/chen/anaconda3/lib/python3.7/site-packages/conda/common/io.py", line 88, in decorated return f(*args, **kwds) File "/home/chen/anaconda3/lib/python3.7/site-packages/conda/core/solve.py", line 415, in _collect_all_metadata index, r = self._prepare(prepared_specs) File "/home/chen/anaconda3/lib/python3.7/site-packages/conda/core/solve.py", line 1011, in _prepare self.subdirs, prepared_specs, self._repodata_fn) File "/home/chen/anaconda3/lib/python3.7/site-packages/conda/core/index.py", line 228, in get_reduced_index repodata_fn=repodata_fn) File "/home/chen/anaconda3/lib/python3.7/site-packages/conda/core/subdir_data.py", line 105, in query_all result = tuple(concat(executor.map(subdir_query, channel_urls))) File "/home/chen/anaconda3/lib/python3.7/concurrent/futures/_base.py", line 598, in result_iterator yield fs.pop().result() File "/home/chen/anaconda3/lib/python3.7/concurrent/futures/_base.py", line 428, in result return self.__get_result() File "/home/chen/anaconda3/lib/python3.7/concurrent/futures/_base.py", line 384, in __get_result raise self._exception File "/home/chen/anaconda3/lib/python3.7/concurrent/futures/thread.py", line 57, in run result = self.fn(*self.args, **self.kwargs) File "/home/chen/anaconda3/lib/python3.7/site-packages/conda/core/subdir_data.py", line 98, in <lambda> package_ref_or_match_spec)) File "/home/chen/anaconda3/lib/python3.7/site-packages/conda/core/subdir_data.py", line 110, in query self.load() File "/home/chen/anaconda3/lib/python3.7/site-packages/conda/core/subdir_data.py", line 174, in load _internal_state = self._load() File "/home/chen/anaconda3/lib/python3.7/site-packages/conda/core/subdir_data.py", line 255, in _load return self._load() File "/home/chen/anaconda3/lib/python3.7/site-packages/conda/core/subdir_data.py", line 263, in _load mod_etag_headers.get('_mod')) File "/home/chen/anaconda3/lib/python3.7/site-packages/conda/core/subdir_data.py", line 311, in _read_local_repdata _internal_state = self._process_raw_repodata_str(raw_repodata_str) File "/home/chen/anaconda3/lib/python3.7/site-packages/conda/core/subdir_data.py", line 349, in _process_raw_repodata_str json_obj = json.loads(raw_repodata_str or '{}') File "/home/chen/anaconda3/lib/python3.7/json/__init__.py", line 348, in loads return _default_decoder.decode(s) File "/home/chen/anaconda3/lib/python3.7/json/decoder.py", line 337, in decode obj, end = self.raw_decode(s, idx=_w(s, 0).end()) File "/home/chen/anaconda3/lib/python3.7/json/decoder.py", line 353, in raw_decode obj, end = self.scan_once(s, idx) json.decoder.JSONDecodeError: Unterminated string starting at: line 93288 column 9 (char 2391882) `$ /home/chen/anaconda3/bin/conda create -n habitat python=3.7 cmake=3.14.0` environment variables: CIO_TEST=<not set> CONDA_DEFAULT_ENV=base CONDA_EXE=/home/chen/anaconda3/bin/conda CONDA_PREFIX=/home/chen/anaconda3 CONDA_PROMPT_MODIFIER=(base) CONDA_PYTHON_EXE=/home/chen/anaconda3/bin/python CONDA_ROOT=/home/chen/anaconda3 CONDA_SHLVL=1 PATH=/home/chen/anaconda3/bin:/home/chen/anaconda3/bin:/home/chen/anaconda3 /condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin :/usr/games:/usr/local/games:/snap/bin REQUESTS_CA_BUNDLE=<not set> SSL_CERT_FILE=<not set> WINDOWPATH=2 active environment : base active env location : /home/chen/anaconda3 shell level : 1 user config file : /home/chen/.condarc populated config files : /home/chen/.condarc conda version : 4.8.2 conda-build version : 3.18.11 python version : 3.7.6.final.0 virtual packages : __cuda=10.1 __glibc=2.27 base environment : /home/chen/anaconda3 (writable) channel URLs : https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/noarch https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/linux-64 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/noarch https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r/linux-64 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r/noarch https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/linux-64 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/noarch https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/linux-64 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/noarch https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/noarch https://repo.anaconda.com/pkgs/main/linux-64 https://repo.anaconda.com/pkgs/main/noarch https://repo.anaconda.com/pkgs/r/linux-64 https://repo.anaconda.com/pkgs/r/noarch package cache : /home/chen/anaconda3/pkgs /home/chen/.conda/pkgs envs directories : /home/chen/anaconda3/envs /home/chen/.conda/envs platform : linux-64 user-agent : conda/4.8.2 requests/2.22.0 CPython/3.7.6 Linux/5.3.0-45-generic ubuntu/18.04.4 glibc/2.27 UID:GID : 1000:1000 netrc file : None offline mode : False

anconda更新后出现OSError[Winerror 126]找不到指定模块该如何解决?

如题,以下为报错 Traceback (most recent call last): File "F:\a\lib\site-packages\conda\exceptions.py", line 1043, in __call__ return func(*args, **kwargs) File "F:\a\lib\site-packages\conda\cli\main.py", line 84, in _main exit_code = do_call(args, p) File "F:\a\lib\site-packages\conda\cli\conda_argparse.py", line 80, in do_call module = import_module(relative_mod, __name__.rsplit('.', 1)[0]) File "F:\a\lib\importlib\__init__.py", line 127, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "<frozen importlib._bootstrap>", line 1006, in _gcd_import File "<frozen importlib._bootstrap>", line 983, in _find_and_load File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked File "<frozen importlib._bootstrap>", line 677, in _load_unlocked File "<frozen importlib._bootstrap_external>", line 728, in exec_module File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed File "F:\a\lib\site-packages\conda\cli\main_install.py", line 8, in <module> from .install import install File "F:\a\lib\site-packages\conda\cli\install.py", line 19, in <module> from ..core.index import calculate_channel_urls, get_index File "F:\a\lib\site-packages\conda\core\index.py", line 9, in <module> from .package_cache_data import PackageCacheData File "F:\a\lib\site-packages\conda\core\package_cache_data.py", line 15, in <module> from conda_package_handling.api import InvalidArchiveError File "F:\a\lib\site-packages\conda_package_handling\api.py", line 3, in <module> from libarchive.exception import ArchiveError as _LibarchiveArchiveError File "F:\a\lib\site-packages\libarchive\__init__.py", line 1, in <module> from .entry import ArchiveEntry File "F:\a\lib\site-packages\libarchive\entry.py", line 6, in <module> from . import ffi File "F:\a\lib\site-packages\libarchive\ffi.py", line 27, in <module> libarchive = ctypes.cdll.LoadLibrary(libarchive_path) File "F:\a\lib\ctypes\__init__.py", line 434, in LoadLibrary return self._dlltype(name) File "F:\a\lib\ctypes\__init__.py", line 356, in __init__ self._handle = _dlopen(self._name, mode) OSError: [WinError 126] 找不到指定的模块。 During handling of the above exception, another exception occurred: Traceback (most recent call last): File "F:\a\Scripts\conda-script.py", line 12, in <module> sys.exit(main()) File "F:\a\lib\site-packages\conda\cli\main.py", line 150, in main return conda_exception_handler(_main, *args, **kwargs) File "F:\a\lib\site-packages\conda\exceptions.py", line 1335, in conda_exception_handler return_value = exception_handler(func, *args, **kwargs) File "F:\a\lib\site-packages\conda\exceptions.py", line 1046, in __call__ return self.handle_exception(exc_val, exc_tb) File "F:\a\lib\site-packages\conda\exceptions.py", line 1090, in handle_exception return self.handle_unexpected_exception(exc_val, exc_tb) File "F:\a\lib\site-packages\conda\exceptions.py", line 1101, in handle_unexpected_exception self.print_unexpected_error_report(error_report) File "F:\a\lib\site-packages\conda\exceptions.py", line 1171, in print_unexpected_error_report from .cli.main_info import get_env_vars_str, get_main_info_str File "F:\a\lib\site-packages\conda\cli\main_info.py", line 19, in <module> from ..core.index import _supplement_index_with_system File "F:\a\lib\site-packages\conda\core\index.py", line 9, in <module> from .package_cache_data import PackageCacheData File "F:\a\lib\site-packages\conda\core\package_cache_data.py", line 15, in <module> from conda_package_handling.api import InvalidArchiveError File "F:\a\lib\site-packages\conda_package_handling\api.py", line 7, in <module> from .tarball import CondaTarBZ2 as _CondaTarBZ2 File "F:\a\lib\site-packages\conda_package_handling\tarball.py", line 7, in <module> import libarchive File "F:\a\lib\site-packages\libarchive\__init__.py", line 1, in <module> from .entry import ArchiveEntry File "F:\a\lib\site-packages\libarchive\entry.py", line 6, in <module> from . import ffi File "F:\a\lib\site-packages\libarchive\ffi.py", line 27, in <module> libarchive = ctypes.cdll.LoadLibrary(libarchive_path) File "F:\a\lib\ctypes\__init__.py", line 434, in LoadLibrary return self._dlltype(name) File "F:\a\lib\ctypes\__init__.py", line 356, in __init__ self._handle = _dlopen(self._name, mode) OSError: [WinError 126] 找不到指定的模块。

我的mnist运行报错,请问是那出现问题了?

from __future__ import absolute_import from __future__ import division from __future__ import print_function import argparse #解析训练和检测数据模块 import sys from tensorflow.examples.tutorials.mnist import input_data import tensorflow as tf FLAGS = None def main(_): # Import data mnist = input_data.read_data_sets(FLAGS.data_dir, one_hot=True) # Create the model x = tf.placeholder(tf.float32, [None, 784]) #此函数可以理解为形参,用于定义过程,在执行的时候再赋具体的值 W = tf.Variable(tf.zeros([784, 10])) # tf.zeros表示所有的维度都为0 b = tf.Variable(tf.zeros([10])) y = tf.matmul(x, W) + b #对应每个分类概率值。 # Define loss and optimizer y_ = tf.placeholder(tf.float32, [None, 10]) # The raw formulation of cross-entropy, # # tf.reduce_mean(-tf.reduce_sum(y_ * tf.log(tf.nn.softmax(y)), # reduction_indices=[1])) # # can be numerically unstable. # # So here we use tf.nn.softmax_cross_entropy_with_logits on the raw # outputs of 'y', and then average across the batch. cross_entropy = tf.reduce_mean( tf.nn.softmax_cross_entropy_with_logits(labels=y_, logits=y)) train_step = tf.train.GradientDescentOptimizer(0.5).minimize(cross_entropy) sess = tf.InteractiveSession() tf.global_variables_initializer().run() # Train for _ in range(1000): batch_xs, batch_ys = mnist.train.next_batch(100) sess.run(train_step, feed_dict={x: batch_xs, y_: batch_ys}) # Test trained model correct_prediction = tf.equal(tf.argmax(y, 1), tf.argmax(y_, 1)) accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32)) print(sess.run(accuracy, feed_dict={x: mnist.test.images, y_: mnist.test.labels})) if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument('--data_dir', type=str, default='/tmp/tensorflow/mnist/input_data', help='Directory for storing input data') FLAGS, unparsed = parser.parse_known_args() tf.app.run(main=main, argv=[sys.argv[0]] + unparsed) ``` ```下面是报错: TimeoutError Traceback (most recent call last) ~\Anaconda3\envs\tensorflow\lib\urllib\request.py in do_open(self, http_class, req, **http_conn_args) 1317 h.request(req.get_method(), req.selector, req.data, headers, -> 1318 encode_chunked=req.has_header('Transfer-encoding')) 1319 except OSError as err: # timeout error ~\Anaconda3\envs\tensorflow\lib\http\client.py in request(self, method, url, body, headers, encode_chunked) 1238 """Send a complete request to the server.""" -> 1239 self._send_request(method, url, body, headers, encode_chunked) 1240 ~\Anaconda3\envs\tensorflow\lib\http\client.py in _send_request(self, method, url, body, headers, encode_chunked) 1284 body = _encode(body, 'body') -> 1285 self.endheaders(body, encode_chunked=encode_chunked) 1286 ~\Anaconda3\envs\tensorflow\lib\http\client.py in endheaders(self, message_body, encode_chunked) 1233 raise CannotSendHeader() -> 1234 self._send_output(message_body, encode_chunked=encode_chunked) 1235 ~\Anaconda3\envs\tensorflow\lib\http\client.py in _send_output(self, message_body, encode_chunked) 1025 del self._buffer[:] -> 1026 self.send(msg) 1027 ~\Anaconda3\envs\tensorflow\lib\http\client.py in send(self, data) 963 if self.auto_open: --> 964 self.connect() 965 else: ~\Anaconda3\envs\tensorflow\lib\http\client.py in connect(self) 1399 self.sock = self._context.wrap_socket(self.sock, -> 1400 server_hostname=server_hostname) 1401 if not self._context.check_hostname and self._check_hostname: ~\Anaconda3\envs\tensorflow\lib\ssl.py in wrap_socket(self, sock, server_side, do_handshake_on_connect, suppress_ragged_eofs, server_hostname, session) 400 server_hostname=server_hostname, --> 401 _context=self, _session=session) 402 ~\Anaconda3\envs\tensorflow\lib\ssl.py in __init__(self, sock, keyfile, certfile, server_side, cert_reqs, ssl_version, ca_certs, do_handshake_on_connect, family, type, proto, fileno, suppress_ragged_eofs, npn_protocols, ciphers, server_hostname, _context, _session) 807 raise ValueError("do_handshake_on_connect should not be specified for non-blocking sockets") --> 808 self.do_handshake() 809 ~\Anaconda3\envs\tensorflow\lib\ssl.py in do_handshake(self, block) 1060 self.settimeout(None) -> 1061 self._sslobj.do_handshake() 1062 finally: ~\Anaconda3\envs\tensorflow\lib\ssl.py in do_handshake(self) 682 """Start the SSL/TLS handshake.""" --> 683 self._sslobj.do_handshake() 684 if self.context.check_hostname: TimeoutError: [WinError 10060] 由于连接方在一段时间后没有正确答复或连接的主机没有反应,连接尝试失败。 During handling of the above exception, another exception occurred: URLError Traceback (most recent call last) <ipython-input-1-eaf9732201f9> in <module>() 57 help='Directory for storing input data') 58 FLAGS, unparsed = parser.parse_known_args() ---> 59 tf.app.run(main=main, argv=[sys.argv[0]] + unparsed) ~\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\platform\app.py in run(main, argv) 46 # Call the main function, passing through any arguments 47 # to the final program. ---> 48 _sys.exit(main(_sys.argv[:1] + flags_passthrough)) 49 50 <ipython-input-1-eaf9732201f9> in main(_) 15 def main(_): 16 # Import data ---> 17 mnist = input_data.read_data_sets(FLAGS.data_dir, one_hot=True) 18 19 # Create the model ~\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\contrib\learn\python\learn\datasets\mnist.py in read_data_sets(train_dir, fake_data, one_hot, dtype, reshape, validation_size, seed) 238 239 local_file = base.maybe_download(TRAIN_LABELS, train_dir, --> 240 SOURCE_URL + TRAIN_LABELS) 241 with open(local_file, 'rb') as f: 242 train_labels = extract_labels(f, one_hot=one_hot) ~\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\contrib\learn\python\learn\datasets\base.py in maybe_download(filename, work_directory, source_url) 206 filepath = os.path.join(work_directory, filename) 207 if not gfile.Exists(filepath): --> 208 temp_file_name, _ = urlretrieve_with_retry(source_url) 209 gfile.Copy(temp_file_name, filepath) 210 with gfile.GFile(filepath) as f: ~\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\contrib\learn\python\learn\datasets\base.py in wrapped_fn(*args, **kwargs) 163 for delay in delays(): 164 try: --> 165 return fn(*args, **kwargs) 166 except Exception as e: # pylint: disable=broad-except) 167 if is_retriable is None: ~\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\contrib\learn\python\learn\datasets\base.py in urlretrieve_with_retry(url, filename) 188 @retry(initial_delay=1.0, max_delay=16.0, is_retriable=_is_retriable) 189 def urlretrieve_with_retry(url, filename=None): --> 190 return urllib.request.urlretrieve(url, filename) 191 192 ~\Anaconda3\envs\tensorflow\lib\urllib\request.py in urlretrieve(url, filename, reporthook, data) 246 url_type, path = splittype(url) 247 --> 248 with contextlib.closing(urlopen(url, data)) as fp: 249 headers = fp.info() 250 ~\Anaconda3\envs\tensorflow\lib\urllib\request.py in urlopen(url, data, timeout, cafile, capath, cadefault, context) 221 else: 222 opener = _opener --> 223 return opener.open(url, data, timeout) 224 225 def install_opener(opener): ~\Anaconda3\envs\tensorflow\lib\urllib\request.py in open(self, fullurl, data, timeout) 524 req = meth(req) 525 --> 526 response = self._open(req, data) 527 528 # post-process response ~\Anaconda3\envs\tensorflow\lib\urllib\request.py in _open(self, req, data) 542 protocol = req.type 543 result = self._call_chain(self.handle_open, protocol, protocol + --> 544 '_open', req) 545 if result: 546 return result ~\Anaconda3\envs\tensorflow\lib\urllib\request.py in _call_chain(self, chain, kind, meth_name, *args) 502 for handler in handlers: 503 func = getattr(handler, meth_name) --> 504 result = func(*args) 505 if result is not None: 506 return result ~\Anaconda3\envs\tensorflow\lib\urllib\request.py in https_open(self, req) 1359 def https_open(self, req): 1360 return self.do_open(http.client.HTTPSConnection, req, -> 1361 context=self._context, check_hostname=self._check_hostname) 1362 1363 https_request = AbstractHTTPHandler.do_request_ ~\Anaconda3\envs\tensorflow\lib\urllib\request.py in do_open(self, http_class, req, **http_conn_args) 1318 encode_chunked=req.has_header('Transfer-encoding')) 1319 except OSError as err: # timeout error -> 1320 raise URLError(err) 1321 r = h.getresponse() 1322 except: URLError: <urlopen error [WinError 10060] 由于连接方在一段时间后没有正确答复或连接的主机没有反应,连接尝试失败。> In [ ]:

学深度学习,用Anaconda Prompt激活gluon后打不开jupyter notebook

今日开始学习深度学习,参考书《动手学深度学习》,在Anaconda Prompt中依次执行过以下代码: ``` conda env create -f environment.yml conda activate gluon jupyter notebook ``` 第一次报错,显示jupyter不是内部或外部命令 尝试以下方法,参考https://blog.csdn.net/weixin_41813895/article/details/84750990 ``` conda install ipykernel python -m ipykernel install --name gluon (gluon) D:\anaconda\anaconda>jupyter notebook Traceback (most recent call last): File "D:\anaconda\anaconda\envs\gluon\Scripts\jupyter-script.py", line 10, in <module> sys.exit(main()) File "D:\anaconda\anaconda\envs\gluon\lib\site-packages\jupyter_core\command.py", line 247, in main command = _jupyter_abspath(subcommand) File "D:\anaconda\anaconda\envs\gluon\lib\site-packages\jupyter_core\command.py", line 134, in _jupyter_abspath 'Jupyter command `{}` not found.'.format(jupyter_subcommand) Exception: Jupyter command `jupyter-notebook` not found. ``` 再次打开jupyter notebook失败,显示Exception: Jupyter command jupyter-notebook not found. 求各位帮助解决一下。

Pycharm解释器指向anaconda的python怎么装package

想简单的描述一个复杂的问题真的不容易。 我装了anaconda,又装了pycharm。 给pycharm的一个project的解释器,指向了一个 conda enviroment。 那么,这个工程里,我想添加一些package,要怎么操作呢? 在pycharm里,+ 号 是不起作用了。 那要怎么办? ![图片说明](https://img-ask.csdn.net/upload/201809/17/1537180518_792595.png) ![图片说明](https://img-ask.csdn.net/upload/201809/17/1537180529_23267.png) 我也试过就不用虚拟环境,就直接用anaconda 的python.exe,可是,一样的。是不能在pycharm里添加package 的。这个,就只 能在命令行添加么? 可是,我添加过的package, 在site-package 路径下也有了,但是在pycharm里,仍然是显示未知的模块(no module named) 又是什么原因呢? 我再网上找了几天了,似乎都没有人遇到过同样的问题。 也没有人描述下,如果pycharm里工程的解释器是指向了anaconda的python,要怎么在pycharm里添加package。 求帮~~ 英语水平烂,也不知道怎么发到外面去求助。希望我的混乱不清的描述,能说明我的麻烦。 拜托了各位大神。

ERROR: Error checking for conflicts.AttributeError: _DistInfoDistribution__dep_map;AttributeError: _pkg_info

当我从Anaconda打开Spyder时,收到这样一个报错: ![图片说明](https://img-ask.csdn.net/upload/202006/17/1592375414_741461.png) ``` you have missing dependencies #Mandatory pyls>=0.31.0;<0.32.0:0.1.6(NOK) please install them to aiod this message …… ``` 我试图用pip或者conda安装pyls板块,但得到了不同的报错: 使用pip时的报错—— ![图片说明](https://img-ask.csdn.net/upload/202006/17/1592375632_646303.png) ``` ERROR: Error checking for conflicts. Traceback (most recent call last): File "d:\anaconda\envs\tensorflow\lib\site-packages\pip-20.2b1-py3.7.egg\pip\_vendor\pkg_resources\__init__.py", line 3021, in _dep_map return self.__dep_map File "d:\anaconda\envs\tensorflow\lib\site-packages\pip-20.2b1-py3.7.egg\pip\_vendor\pkg_resources\__init__.py", line 2815, in __getattr__ raise AttributeError(attr) AttributeError: _DistInfoDistribution__dep_map During handling of the above exception, another exception occurred: Traceback (most recent call last): File "d:\anaconda\envs\tensorflow\lib\site-packages\pip-20.2b1-py3.7.egg\pip\_vendor\pkg_resources\__init__.py", line 3012, in _parsed_pkg_info return self._pkg_info File "d:\anaconda\envs\tensorflow\lib\site-packages\pip-20.2b1-py3.7.egg\pip\_vendor\pkg_resources\__init__.py", line 2815, in __getattr__ raise AttributeError(attr) AttributeError: _pkg_info During handling of the above exception, another exception occurred: Traceback (most recent call last): File "d:\anaconda\envs\tensorflow\lib\site-packages\pip-20.2b1-py3.7.egg\pip\_internal\commands\install.py", line 509, in _warn_about_conflicts package_set, _dep_info = check_install_conflicts(to_install) File "d:\anaconda\envs\tensorflow\lib\site-packages\pip-20.2b1-py3.7.egg\pip\_internal\operations\check.py", line 114, in check_install_conflicts package_set, _ = create_package_set_from_installed() File "d:\anaconda\envs\tensorflow\lib\site-packages\pip-20.2b1-py3.7.egg\pip\_internal\operations\check.py", line 53, in create_package_set_from_installed package_set[name] = PackageDetails(dist.version, dist.requires()) File "d:\anaconda\envs\tensorflow\lib\site-packages\pip-20.2b1-py3.7.egg\pip\_vendor\pkg_resources\__init__.py", line 2736, in requires dm = self._dep_map File "d:\anaconda\envs\tensorflow\lib\site-packages\pip-20.2b1-py3.7.egg\pip\_vendor\pkg_resources\__init__.py", line 3023, in _dep_map self.__dep_map = self._compute_dependencies() File "d:\anaconda\envs\tensorflow\lib\site-packages\pip-20.2b1-py3.7.egg\pip\_vendor\pkg_resources\__init__.py", line 3032, in _compute_dependencies for req in self._parsed_pkg_info.get_all('Requires-Dist') or []: File "d:\anaconda\envs\tensorflow\lib\site-packages\pip-20.2b1-py3.7.egg\pip\_vendor\pkg_resources\__init__.py", line 3014, in _parsed_pkg_info metadata = self.get_metadata(self.PKG_INFO) File "d:\anaconda\envs\tensorflow\lib\site-packages\pip-20.2b1-py3.7.egg\pip\_vendor\pkg_resources\__init__.py", line 1420, in get_metadata value = self._get(path) File "d:\anaconda\envs\tensorflow\lib\site-packages\pip-20.2b1-py3.7.egg\pip\_vendor\pkg_resources\__init__.py", line 1616, in _get with open(path, 'rb') as stream: FileNotFoundError: [Errno 2] No such file or directory: 'd:\\anaconda\\envs\\tensorflow\\lib\\site-packages\\rsa-4.0.dist-info\\METADATA' ``` 使用conda时的报错—— ![图片说明](https://img-ask.csdn.net/upload/202006/17/1592375901_681838.png) ``` (tensorflow) C:\Users\wangl>conda install pyls Collecting package metadata (current_repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve. Collecting package metadata (repodata.json): failed # >>>>>>>>>>>>>>>>>>>>>> ERROR REPORT <<<<<<<<<<<<<<<<<<<<<< Traceback (most recent call last): File "D:\Anaconda\lib\site-packages\conda\core\subdir_data.py", line 248, in _load repodata_fn=self.repodata_fn) File "D:\Anaconda\lib\site-packages\conda\core\subdir_data.py", line 598, in fetch_repodata_remote_request raise Response304ContentUnchanged() conda.core.subdir_data.Response304ContentUnchanged ``` 请问一下,是什么原因导致了这种情况?是python和anaconda的冲突吗?我是直接在anaconda里安装的python,并没有单独安装?现在应该如何解决这个难题呢?

吴恩达深度学习第四课第四周fr_utils.py报错,有人遇到过吗

Face Recognition/fr_utils.py, Line21中_get_session()和Line140中model无法找到引用,请问这是什么原因 加载模型时候会报如下错误: Using TensorFlow backend. 2018-08-26 21:30:53.046324: I T:\src\github\tensorflow\tensorflow\core\platform\cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 Total Params: 3743280 Traceback (most recent call last): File "C:/Users/51530/PycharmProjects/DL/wuenda/Face/faceV3.py", line 60, in <module> load_weights_from_FaceNet(FRmodel) File "C:\Users\51530\PycharmProjects\DL\wuenda\Face\fr_utils.py", line 133, in load_weights_from_FaceNet weights_dict = load_weights() File "C:\Users\51530\PycharmProjects\DL\wuenda\Face\fr_utils.py", line 154, in load_weights conv_w = genfromtxt(paths[name + '_w'], delimiter=',', dtype=None) File "E:\anaconda\lib\site-packages\numpy\lib\npyio.py", line 1867, in genfromtxt raise ValueError(errmsg) ValueError: Some errors were detected ! Line #7 (got 2 columns instead of 1) Line #12 (got 3 columns instead of 1) Line #15 (got 2 columns instead of 1) 具体此文件: ``` #### PART OF THIS CODE IS USING CODE FROM VICTOR SY WANG: https://github.com/iwantooxxoox/Keras-OpenFace/blob/master/utils.py #### import tensorflow as tf import numpy as np import os import cv2 from numpy import genfromtxt from keras.layers import Conv2D, ZeroPadding2D, Activation, Input, concatenate from keras.models import Model from keras.layers.normalization import BatchNormalization from keras.layers.pooling import MaxPooling2D, AveragePooling2D import h5py import matplotlib.pyplot as plt _FLOATX = 'float32' def variable(value, dtype=_FLOATX, name=None): v = tf.Variable(np.asarray(value, dtype=dtype), name=name) _get_session().run(v.initializer) return v def shape(x): return x.get_shape() def square(x): return tf.square(x) def zeros(shape, dtype=_FLOATX, name=None): return variable(np.zeros(shape), dtype, name) def concatenate(tensors, axis=-1): if axis < 0: axis = axis % len(tensors[0].get_shape()) return tf.concat(axis, tensors) def LRN2D(x): return tf.nn.lrn(x, alpha=1e-4, beta=0.75) def conv2d_bn(x, layer=None, cv1_out=None, cv1_filter=(1, 1), cv1_strides=(1, 1), cv2_out=None, cv2_filter=(3, 3), cv2_strides=(1, 1), padding=None): num = '' if cv2_out == None else '1' tensor = Conv2D(cv1_out, cv1_filter, strides=cv1_strides, data_format='channels_first', name=layer+'_conv'+num)(x) tensor = BatchNormalization(axis=1, epsilon=0.00001, name=layer+'_bn'+num)(tensor) tensor = Activation('relu')(tensor) if padding == None: return tensor tensor = ZeroPadding2D(padding=padding, data_format='channels_first')(tensor) if cv2_out == None: return tensor tensor = Conv2D(cv2_out, cv2_filter, strides=cv2_strides, data_format='channels_first', name=layer+'_conv'+'2')(tensor) tensor = BatchNormalization(axis=1, epsilon=0.00001, name=layer+'_bn'+'2')(tensor) tensor = Activation('relu')(tensor) return tensor WEIGHTS = [ 'conv1', 'bn1', 'conv2', 'bn2', 'conv3', 'bn3', 'inception_3a_1x1_conv', 'inception_3a_1x1_bn', 'inception_3a_pool_conv', 'inception_3a_pool_bn', 'inception_3a_5x5_conv1', 'inception_3a_5x5_conv2', 'inception_3a_5x5_bn1', 'inception_3a_5x5_bn2', 'inception_3a_3x3_conv1', 'inception_3a_3x3_conv2', 'inception_3a_3x3_bn1', 'inception_3a_3x3_bn2', 'inception_3b_3x3_conv1', 'inception_3b_3x3_conv2', 'inception_3b_3x3_bn1', 'inception_3b_3x3_bn2', 'inception_3b_5x5_conv1', 'inception_3b_5x5_conv2', 'inception_3b_5x5_bn1', 'inception_3b_5x5_bn2', 'inception_3b_pool_conv', 'inception_3b_pool_bn', 'inception_3b_1x1_conv', 'inception_3b_1x1_bn', 'inception_3c_3x3_conv1', 'inception_3c_3x3_conv2', 'inception_3c_3x3_bn1', 'inception_3c_3x3_bn2', 'inception_3c_5x5_conv1', 'inception_3c_5x5_conv2', 'inception_3c_5x5_bn1', 'inception_3c_5x5_bn2', 'inception_4a_3x3_conv1', 'inception_4a_3x3_conv2', 'inception_4a_3x3_bn1', 'inception_4a_3x3_bn2', 'inception_4a_5x5_conv1', 'inception_4a_5x5_conv2', 'inception_4a_5x5_bn1', 'inception_4a_5x5_bn2', 'inception_4a_pool_conv', 'inception_4a_pool_bn', 'inception_4a_1x1_conv', 'inception_4a_1x1_bn', 'inception_4e_3x3_conv1', 'inception_4e_3x3_conv2', 'inception_4e_3x3_bn1', 'inception_4e_3x3_bn2', 'inception_4e_5x5_conv1', 'inception_4e_5x5_conv2', 'inception_4e_5x5_bn1', 'inception_4e_5x5_bn2', 'inception_5a_3x3_conv1', 'inception_5a_3x3_conv2', 'inception_5a_3x3_bn1', 'inception_5a_3x3_bn2', 'inception_5a_pool_conv', 'inception_5a_pool_bn', 'inception_5a_1x1_conv', 'inception_5a_1x1_bn', 'inception_5b_3x3_conv1', 'inception_5b_3x3_conv2', 'inception_5b_3x3_bn1', 'inception_5b_3x3_bn2', 'inception_5b_pool_conv', 'inception_5b_pool_bn', 'inception_5b_1x1_conv', 'inception_5b_1x1_bn', 'dense_layer' ] conv_shape = { 'conv1': [64, 3, 7, 7], 'conv2': [64, 64, 1, 1], 'conv3': [192, 64, 3, 3], 'inception_3a_1x1_conv': [64, 192, 1, 1], 'inception_3a_pool_conv': [32, 192, 1, 1], 'inception_3a_5x5_conv1': [16, 192, 1, 1], 'inception_3a_5x5_conv2': [32, 16, 5, 5], 'inception_3a_3x3_conv1': [96, 192, 1, 1], 'inception_3a_3x3_conv2': [128, 96, 3, 3], 'inception_3b_3x3_conv1': [96, 256, 1, 1], 'inception_3b_3x3_conv2': [128, 96, 3, 3], 'inception_3b_5x5_conv1': [32, 256, 1, 1], 'inception_3b_5x5_conv2': [64, 32, 5, 5], 'inception_3b_pool_conv': [64, 256, 1, 1], 'inception_3b_1x1_conv': [64, 256, 1, 1], 'inception_3c_3x3_conv1': [128, 320, 1, 1], 'inception_3c_3x3_conv2': [256, 128, 3, 3], 'inception_3c_5x5_conv1': [32, 320, 1, 1], 'inception_3c_5x5_conv2': [64, 32, 5, 5], 'inception_4a_3x3_conv1': [96, 640, 1, 1], 'inception_4a_3x3_conv2': [192, 96, 3, 3], 'inception_4a_5x5_conv1': [32, 640, 1, 1,], 'inception_4a_5x5_conv2': [64, 32, 5, 5], 'inception_4a_pool_conv': [128, 640, 1, 1], 'inception_4a_1x1_conv': [256, 640, 1, 1], 'inception_4e_3x3_conv1': [160, 640, 1, 1], 'inception_4e_3x3_conv2': [256, 160, 3, 3], 'inception_4e_5x5_conv1': [64, 640, 1, 1], 'inception_4e_5x5_conv2': [128, 64, 5, 5], 'inception_5a_3x3_conv1': [96, 1024, 1, 1], 'inception_5a_3x3_conv2': [384, 96, 3, 3], 'inception_5a_pool_conv': [96, 1024, 1, 1], 'inception_5a_1x1_conv': [256, 1024, 1, 1], 'inception_5b_3x3_conv1': [96, 736, 1, 1], 'inception_5b_3x3_conv2': [384, 96, 3, 3], 'inception_5b_pool_conv': [96, 736, 1, 1], 'inception_5b_1x1_conv': [256, 736, 1, 1], } def load_weights_from_FaceNet(FRmodel): # Load weights from csv files (which was exported from Openface torch model) weights = WEIGHTS weights_dict = load_weights() # Set layer weights of the model for name in weights: if FRmodel.get_layer(name) != None: FRmodel.get_layer(name).set_weights(weights_dict[name]) elif model.get_layer(name) != None: model.get_layer(name).set_weights(weights_dict[name]) def load_weights(): # Set weights path dirPath = './weights' fileNames = filter(lambda f: not f.startswith('.'), os.listdir(dirPath)) paths = {} weights_dict = {} for n in fileNames: paths[n.replace('.csv', '')] = dirPath + '/' + n for name in WEIGHTS: if 'conv' in name: conv_w = genfromtxt(paths[name + '_w'], delimiter=',', dtype=None) conv_w = np.reshape(conv_w, conv_shape[name]) conv_w = np.transpose(conv_w, (2, 3, 1, 0)) conv_b = genfromtxt(paths[name + '_b'], delimiter=',', dtype=None) weights_dict[name] = [conv_w, conv_b] elif 'bn' in name: bn_w = genfromtxt(paths[name + '_w'], delimiter=',', dtype=None) bn_b = genfromtxt(paths[name + '_b'], delimiter=',', dtype=None) bn_m = genfromtxt(paths[name + '_m'], delimiter=',', dtype=None) bn_v = genfromtxt(paths[name + '_v'], delimiter=',', dtype=None) weights_dict[name] = [bn_w, bn_b, bn_m, bn_v] elif 'dense' in name: dense_w = genfromtxt(dirPath+'/dense_w.csv', delimiter=',', dtype=None) dense_w = np.reshape(dense_w, (128, 736)) dense_w = np.transpose(dense_w, (1, 0)) dense_b = genfromtxt(dirPath+'/dense_b.csv', delimiter=',', dtype=None) weights_dict[name] = [dense_w, dense_b] return weights_dict def load_dataset(): train_dataset = h5py.File('datasets/train_happy.h5', "r") train_set_x_orig = np.array(train_dataset["train_set_x"][:]) # your train set features train_set_y_orig = np.array(train_dataset["train_set_y"][:]) # your train set labels test_dataset = h5py.File('datasets/test_happy.h5', "r") test_set_x_orig = np.array(test_dataset["test_set_x"][:]) # your test set features test_set_y_orig = np.array(test_dataset["test_set_y"][:]) # your test set labels classes = np.array(test_dataset["list_classes"][:]) # the list of classes train_set_y_orig = train_set_y_orig.reshape((1, train_set_y_orig.shape[0])) test_set_y_orig = test_set_y_orig.reshape((1, test_set_y_orig.shape[0])) return train_set_x_orig, train_set_y_orig, test_set_x_orig, test_set_y_orig, classes def img_to_encoding(image_path, model): img1 = cv2.imread(image_path, 1) img = img1[...,::-1] img = np.around(np.transpose(img, (2,0,1))/255.0, decimals=12) x_train = np.array([img]) embedding = model.predict_on_batch(x_train) return embedding ```

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