Question

我找到了这个RGB图像分析，并尝试在一些随机图片上使用它。

http://marksolters.com/programming/2015/02/27/rgb-histograph.html

import numpy as np
import mpl_toolkits.mplot3d.axes3d as p3
import matplotlib.pyplot as plt
import colorsys
from PIL import Image

# (1) Import the file to be analyzed!
img_file = Image.open("another_photo.jpeg")
img = img_file.load()

# (2) Get image width & height in pixels
[xs, ys] = img_file.size
max_intensity = 100
hues = {}

# (3) Examine each pixel in the image file
for x in range(0, xs):
  for y in range(0, ys):
    # (4)  Get the RGB color of the pixel
    [r, g, b] = img[x, y]
    # (5)  Normalize pixel color values
    r /= 255.0
    g /= 255.0
    b /= 255.0

    # (6)  Convert RGB color to HSV
    [h, s, v] = colorsys.rgb_to_hsv(r, g, b)

    # (7)  Marginalize s; count how many pixels have matching (h, v)
    if h not in hues:
      hues[h] = {}
    if v not in hues[h]:
      hues[h][v] = 1
    else:
      if hues[h][v] < max_intensity:
        hues[h][v] += 1

# (8)   Decompose the hues object into a set of one dimensional arrays we can use with matplotlib
h_ = []
v_ = []
i = []
colours = []

for h in hues:
  for v in hues[h]:
    h_.append(h)
    v_.append(v)
    i.append(hues[h][v])
    [r, g, b] = colorsys.hsv_to_rgb(h, 1, v)
    colours.append([r, g, b])

# (9)   Plot the graph!
fig = plt.figure()
ax = p3.Axes3D(fig)
ax.scatter(h_, v_, i, s=5, c=colours, lw=0)

ax.set_xlabel('Hue')
ax.set_ylabel('Value')
ax.set_zlabel('Intensity')
fig.add_axes(ax)
plt.show()

但我的代码在第20行打破了：

[r, g, b] = img[x, y]

有人可以向我解释作者如何以及为何将这两个值从img解包出来并将它们分配给三个变量？

Answer 1

这取决于图像。你的可能是RGBA，然后像素元组有4个值，最后是ALPHA。您可以使用.convert（＆＃39; RGB＆＃39;），如下所示：

// Html
<div class="position-relative has-icon-left">
    <input v-model="user.date_of_birth" placeholder="dd/mm/yyyy" id="date-of-birth" class="form-control datepicker" name="date">
    @{{ user.date_of_birth }}
</div>

// javascript
$('.datepicker').datepicker({
    format: 'dd/mm/yyyy',
    setDate: new Date()
});

为什么我得到ValueError：解压缩的值太多（预期为3）？

1 个答案: