Spyder提示ValueError: API 'QString' has already been set to version 1
转载自:http://wuyuans.com/2013/02/spyder-valueerror-api-qstring-has-already-been-set-to-version-1/在IPython中使用enthought.mayavi正常,但在Spyder中确有问题,提示如下:ValueE...
ValueError: check_hostname requires server_hostname
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easy.py使用中ValueError: could not convert string to float: svm_options错误问题解决
在使用easy.py中出现如下图所示问题解决方法:1、找到cmd = '{0} -svmtrain "{1}" -gnuplot "{2}" "{3}"'.format(grid_py, svmtrain_exe, gnuplot_exe, scaled_file)2、将其改为cmd = 'pyth...
ValueError:无法为张量u' placeholder_1:0 '(有形状)提供形状(50)的值。,10)
I'm a new guy in tensorflow,and I'm trying an experiment with my own .tfrecords files.Now I get something wrong in my code and I don't know what happe...
TensorFlow/TFLearn: ValueError:不能给张量u' targetsdata /Y:0',它有形状的形状(256,400,400)的输入值。,64)
I'd like to make a ConvNet with the same size of output as one of input. So, I implemented it using TFLearn library. Because I just wanted a simple ex...
更符合python的方式来编写这个块(和elimnate: ValueError: dictionary update sequence element #0的长度为1;2是必需的)
I have this (which works): 我有这个(可以用的): def make_key(x): return "{0}/{1}/{2}".format(x.f1, x.f2, x.f3)def make_value(x): return (x.f7, x.f1, x.f4...
ValueError: Input graph and Layer graph are not the same: Tensor("hidden2/Relu:0", shape=(4, 150), d
Once you have launched a sess, you can use your_tensor.eval(session=sess) or sess.run(your_tensor) to get you feed tensor into the format of numpy.a...
Python 3 - ValueError:没有足够的值来解包(期望3,得到2)
I have a problem with my Python 3 program. I use Mac OS X. This code is running properly. 我的Python 3程序有问题。我使用Mac OS x,这段代码运行正常。 # -*- coding: utf-8 -*...
Django Rest + Jinja2:ValueError:字典更新序列元素#0的长度为0; 2是必需的
I am currently developing a Django website using the Jinja2 template engine using the django-jinja package. As the website will need a JSON api I thou...
划DES加密。密码/ ValueError:输入字符串长度必须是8的倍数。
I'm trying to decrypt Bloomberg files which are DES encrypted. 我正在尝试解密被DES加密的Bloomberg文件。 I'm getting a 'ValueError: Input strings must be a multiple ...
TensorFlow错误ValueError: No gradients provided for any variable
使用TensorFlow训练神经网络的时候,出现以下报错信息:Traceback (most recent call last): File "gan.py", line 147, in var_list=G_PARAMS File "C:\Python35\lib\site-packag...
ValueError(“索引185处不支持的格式字符'A'(0x41)”,)
I am trying to execute a query which lists certain values of my db that match the inputs of my html search form. I want it to do the search even if so...
ValueError: Error when checking input: expected conv2d_1_input to have 4 dimensions, but got array with shape (60000, 28, 28)
报错 Traceback (most recent call last): File "D:/PyCharm 5.0.3/WorkSpace/3.Keras/3.构建各种神经网络/3.CNN.py", line 46, in <module> model.fit(x_train,...
ValueError: could not broadcast input array from shape (300,2,300,1) into shape (300,2,1,1)
用inception-V4做RFCN的网络来训练目标检测模型,遇到的问题如下: _### File "./tools/demo_inception.py", line 378, in , = im_detect(net, im) File "/home/hytz/Downloads/DB-R-FC...
模型。fit() ValueError:检查模型目标时的错误:期望dense_21有形状(None, 1),但有形状的数组(1708,66)
This the code I'm working on: 这是我正在编写的代码: from __future__ import print_functionfrom keras.models import Sequentialfrom keras.layers import Densefrom s...
ValueError:检查输入时出错:预期conv2d_1_input有4个维度,但数组具有形状(120,1)
When I print(inp_shape) I get (288, 512, 3). However I still get the error "ValueError: Error when checking input: expected conv2d_1_input to have 4 d...
检查变量是否为None或numpy.array时的ValueError
I'd like to check if variable is None or numpy.array. I've implemented check_a function to do this. 我想检查变量是否为None或numpy.array。我已经实现了check_a函数来执行此操作。 d...
当索引一个4D数组时,会出现一个Tensorflow错误:ValueError:形状必须是相等的,但是是1和0。
I'm modifying a simple CNN in Tensorflow and when I'm indexing a 4d array I get this error. My reproducable example is: 我在Tensorflow中修改一个简单的CNN,当我索引一个...
ValueError:检查时出错:预期conv2d_1_input具有shape (None, 300,300, 1),而数组具有shape (1,260, 300, 1)
I am trying to run the following code : The code loads an existing model "model_6cat.h5" and runs a prediction using same. 我正在尝试运行以下代码:代码加载一个现有模型“mode...
ValueError:检查时出错:预期input_2具有形状(162,)但得到形状为(1,)的数组
I have defined the following model in Keras: 我在Keras中定义了以下模型: init_weights = he_normal()main_input = Input(shape=(FEATURE_VECTOR_SIZE,)) #size 54aux_i...