Matplotlib
Matplotlib的方便之处在于使用Jupyter notebook时能实时画图并显示，这样一来，远程即可看到服务器上的图。Jupyter notebook上使用matplotlib的魔法——需要加上%matplotlib inline
| %matplotlib inline
import matplotlib.pyplot as plt
plt.imshow(img)
|
柱状图 bar
| plt.bar(range(len(mean_hist)), mean_hist, width=1.0, linewidth=1)
plt.xlim([0,256])
#设置横坐标的文字说明
plt.xlabel('Grade')
#设置纵坐标的文字说明
plt.ylabel('Frequency')
#设置标题
plt.title('Title')
plt.show()
|
散点图 plot
| plot(X(pos, 1), X(pos, 2), 'k+', 'LineWidth', 2, 'MarkerSize')
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13 | b blue . point - solid
g green o circle : dotted
r red x x-mark -. dashdot
c cyan + plus -- dashed
m magenta * star (none) no line
y yellow s square
k black d diamond
w white v triangle (down)
^ triangle (up)
< triangle (left)
> triangle (right)
p pentagram
h hexagram
|
| pos = find(y==1);
neg = find(y==0);
plot(X(pos, 1), X(pos, 2), 'k+', 'LineWidth', 2, 'MarkerSize', 7);
plot(X(neg, 1), X(neg, 2), 'ko', 'MarkerFaceColor', 'y', 'MarkerSize', 7);
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在图上画框 Rectangle + 画子图
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18 | import matplotlib.pyplot as plt
import matplotlib.patches as patches
image = cv2.imread(png_dir + image_name + '.png')
fig1 = plt.figure()
ax1 = fig1.add_subplot(111, aspect='equal')
ax1.imshow(image)
x1,y1,w,h = box
ax1.add_patch(
patches.Rectangle(
(x1, y1), # (x,y)
w, # width
h, # height
linewidth=1,edgecolor='r',facecolor='none'
)
)
plt.text(x1, y1,str(score)[:5], color='w')
plt.imshow(image)
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不显示座标轴
保存图片
| plt.savefig('example.jpg')
|