小编mni*_*nis的帖子

我最近安装了Tensorflow for Windows.我正在尝试一个基本教程,我需要访问包含图像子文件夹的文件夹.

我无法访问图像文件夹,因为"访问被拒绝".这在Anaconda 4.2提示符和Pycharm中都会发生,并使用基本的Python 3.5发行版.

我已经为所涉及的所有内容授予了管理员权限,我今天重新安装了所有软件,因此它全部更新到最新版本.

任何想法或帮助将不胜感激!

# change this as you see fit
image_path = 'C:/moles'

# Read in the image_data
image_data = tf.gfile.FastGFile(image_path, 'rb').read()

# Loads label file, strips off carriage return
label_lines = [line.rstrip() for line
               in tf.gfile.GFile("/tf_files/retrained_labels.txt")]

# Unpersists graph from file
with tf.gfile.FastGFile("/tf_files/retrained_graph.pb", 'rb') as f:
    graph_def = tf.GraphDef()
    graph_def.ParseFromString(f.read())
    _ = tf.import_graph_def(graph_def, name='')

with tf.Session() as sess:
    # Feed the image_data as input to the graph and get first prediction
    softmax_tensor = sess.graph.get_tensor_by_name('final_result:0') …

当我尝试从www.matplotlib.org运行非常简单的代码片段时,

from matplotlib import rc
rc('font',**{'family':'sans-serif','sans-serif':['Helvetica']})
## for Palatino and other serif fonts use:
#rc('font',**{'family':'serif','serif':['Palatino']})
rc('text', usetex=True)

import numpy as np
import matplotlib.pyplot as plt


# Example data
t = np.arange(0.0, 1.0 + 0.01, 0.01)
s = np.cos(4 * np.pi * t) + 2

plt.rc('text', usetex=True)
plt.rc('font', family='serif')
plt.plot(t, s)

plt.xlabel(r'\textbf{time} (s)')
plt.ylabel(r'\textit{voltage} (mV)',fontsize=16)
plt.title(r"\TeX\ is Number "
          r"$\displaystyle\sum_{n=1}^\infty\frac{-e^{i\pi}}{2^n}$!",
          fontsize=16, color='gray')
# Make room for the ridiculously large title.
plt.subplots_adjust(top=0.8)

plt.savefig('tex_demo')
plt.show()

这个代码对我来说非常不寻常,我无法弄清楚问题是什么.我收到的错误消息很多,如下所示.有谁知道问题可能是什么？

谢谢!!

Traceback(最近一次调用最后一次):

在调用 返回打印机(obj)中输入文件"/Users/evan/anaconda3/lib/python3.6/site-packages/IPython/core/formatters.py",第332行

文件 "/Users/evan/anaconda3/lib/python3.6/site-packages/IPython/core/pylabtools.py",线路237,在png_formatter.for_type(图,λ-无花果:print_figure(无花果, …

我是深度学习领域的新手。现在我正在复制论文的代码。由于他们使用多个 GPU，因此torch.nn.DataParallel(model, device_ids= args.gpus).cuda()代码中有一个命令。但是我只有一个 GPU，我应该如何更改此代码以匹配我的 GPU？

谢谢！

我是 Python 新手，我想按多个列值过滤行。我的数据框的名称是df，列名称是values，我想按以下值过滤此列：

2, 4, 5, 9

我的数据框是这样的：

name value
Jon    4
Ron    5
Paul   10
Max    3 

非常感激，恩里克。

我也在Xcode首选项中选择了位置，但是得到了同样的错误

在此处输入图片说明

xcrun: error: Failed to determine realpath of '/Applications/Xcode.app/Contents/Developer/Platforms/iPhoneSimulator.platform/Developer/SDKs/iPhoneSimulator11.4.sdk' (errno=No such file or directory)
xcrun: error: unable to find utility "instruments", not a developer tool or in PATH

Command failed: xcrun instruments -s
xcrun: error: Failed to determine realpath of '/Applications/Xcode.app/Contents/Developer/Platforms/iPhoneSimulator.platform/Developer/SDKs/iPhoneSimulator11.4.sdk' (errno=No such file or directory)
xcrun: error: unable to find utility "instruments", not a developer tool or in PATH

Error: Command failed: xcrun instruments -s
xcrun: error: Failed to determine realpath of '/Applications/Xcode.app/Contents/Developer/Platforms/iPhoneSimulator.platform/Developer/SDKs/iPhoneSimulator11.4.sdk' (errno=No such file or directory) …