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报错：cv2.error: OpenCV(4.5.4-dev) :-1: error: (-5:Bad argument) in function 'polylines'> Overload resolution failed:> - Can't parse 'pts'. Sequence item with index 0 has a wrong type> - Can't parse 'pts'. Sequence item with index 0 has a wrong

Traceback (most recent call last): File "/home/user1/miniconda3/envs/hardsample/lib/python2.7/threading.py", line 801, in __bootstrap_inner self.run() File "/home/user1/miniconda3/envs/hardsample/lib/python2.7/threading.py", line 754, in run se

注：model输入 112x112保存的图片可能是白色的（这个还没有修复），但是在pycharm中运行时可以通过scientific tool窗口看到#构造辅助函数做预处理, 注意mxnet中为通道在前格式即BCHW, 输入时要对通道维度调整,#其预训练模型采用减均值除方差的标准化预处理(均值标准差使用imagenet数据集的[0.485, 0.456, 0.406], [0.229, 0.224, 0.225])#mxnet使用专有数据类型nd.arrayimport cv2from

报错：Traceback (most recent call last): File "/data/user1/pkgs/conda/envs/drc/lib/python3.7/site-packages/graphviz/backend.py", line 129, in render subprocess.check_call(args, stderr=stderr, **POPEN_KWARGS) File "/data/user1/pkgs/conda/envs/drc/lib/

画图出不来UserWarning: Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure.解决：import matplotlib.pyplot as pltplt.switch_backend('TkAgg')okie@https://stackoverflow.com/questions/56656777/userwarning-matplotlib-is-curre

1，MLL 没有单独的直观的二维混淆矩阵，sklearn的实现是多少label就有多少混淆矩阵，每个label一个2x2的混淆矩阵。（每个label的值是0/1）from sklearn.metrics import multilabel_confusion_matriximport numpy as npclasses = ['green', 'black', 'red', 'blue']targetSrc = [[0,1,1,1], [0,0,1,0], [1,0,0,1], [1,1,1,0

https://www.kesci.com/home/project/5e12ae702823a10036b2fff7

model = Alexnet2fc() x = torch.rand(8, 3, 112, 112) y = model(x) # need TensorFlow 2.2 or higher # method 1 # from keras.utils import plot_model # plot_model(model, to_file='model.png') # method 2 # from IPython.di...

代码：import matplotlib.pyplot as pltimport numpy as npnp.random.seed(4)fig = plt.figure()ax1 = fig.add_subplot(111)x = [1,2,3,4,5]y1 = np.random.rand(5)y2 = np.random.rand(5)plot1 = ax1.plot(range(0, len(x)), y1, '-*', color='r', label='train')ax2

$ xdg-open log.epshttps://unix.stackexchange.com/questions/111668/what-is-the-command-to-display-eps-files

from scipy import iomat_file = r'/home/data/1.mat'io.loadmat(mat_file)报错：Traceback (most recent call last): File "/home/user1/test.py", line 78, in <module> show_mat(mat) File "/...

红色：绿色：前景、背景色：加粗（效果不明显）：

根据三维数据，画一个柱状图网上的很多代码，都有点含混不清，而且百度又不好用，无奈自己动手试了一个import numpy as npimport matplotlib.pyplot as pltfrom mpl_toolkits.mplot3d import Axes3D# 绘图设置fig = plt.figure()ax = fig.gca(projection='3d')...