【发布时间】:2017-04-18 05:35:18
【问题描述】:
我正在尝试获取这张图片中的要点:
并将它们转移到这个美国地图轮廓:
但我正在为此苦苦挣扎。
我正在尝试使用一种方法,从“data.png”中读取非绿色像素的颜色和坐标位置,将它们存储在列表中,然后将这些像素放置到“us_outline.png”中离开他们的位置。
这是我目前的代码:
#IMPORTS
from __future__ import division
import math
import numpy as np
from PIL import Image
import matplotlib.pyplot as mplot
#List of pixels from data.png
pixels = []
height = 140
width = 200
#Read in data from data.png
data = Image.open( "data.png" )
data = data.convert('RGB')
for row in range(0,height): #loops over the number of rows in the image
for col in range(0,width): # loops over the number of columns in the current row
r,g,b = data.getpixel((row,col))
rgb = []
rgb.append(r)
rgb.append(g)
rgb.append(b)
if rgb != [0,255,0]:
pixels.append(rgb)
但是这样做会导致错误:IndexError: image index out of range
我也试过这个:
#Convert to float32 format
data_image = np.float32(data)
#Reads in data points from data.png and appends them to a list
for row in range(len(data_image)): #loops over the number of rows in the image
for col in range(len(data_image[row])): # loops over the number of columns in the current row
pixel = data_image[row][col] #Assigns pixel at row and column to a variable
if pixel != [0,255,0,255]: #If pixel is not green (a.k.a it is a data point)
pixels.append(pixel) #Set key to the location of pixel and set value to pixel color
#Read in data from us_outline.png
img2 = Image.open( "us_outline.png" )
usmap = img2.load()
#Convert to float32 format
usmap_image = np.float32(usmap)
#Writes data from pixels list to US map
for row in range(len(usmap_image)): #loops over the number of rows in the image
for col in range(len(usmap_image[row])): # loops over the number of columns in the current row
for pixel in range(len(pixels)):
if pixels[row][col] == usmap_image[row][col]:
usmap_image[row][col] = pixels[row][col]
usmap_image = np.uint8( usmap_image )
但这样做会导致第 21 行和第 22 行出现错误
我也尝试过简单地将两个图像相加,但结果很奇怪。
我尝试了很多方法,但我不知道如何让它发挥作用。请帮忙!
提前致谢
【问题讨论】:
标签: python image numpy compiler-errors python-imaging-library