问题描述
因此,在一个堆栈溢出成员的帮助下,我有以下代码:
So with the help of a stack-overflow member, I have the following code:
data = "needle's (which is a png image) base64 code goes here"
decoded = data.decode('base64')
f = cStringIO.StringIO(decoded)
image = Image.open(f)
needle = image.load()
while True:
screenshot = ImageGrab.grab()
haystack = screenshot.load()
if detectImage(haystack, needle):
break
else:
time.sleep(5)
我编写了以下代码来检查针是否在干草堆中:
I've written the following code to check if the needle is in the haystack:
def detectImage(haystack, needle):
counter = 0
for hayrow in haystack:
for haypix in hayrow:
for needlerow in needle:
for needlepix in needlerow:
if haypix == needlepix:
counter += 1
if counter == 980: #the needle has 980 pixels
return True
else:
return False
问题是我在第3行遇到此错误:"PixelAccess"对象不可迭代
The issue is that I get this error for line 3: 'PixelAccess' object is not iterable
有人建议,将针和干草堆复制到一个numpy/scipy数组中会更容易.然后我可以使用一个函数来检查2D阵列针是否在2D阵列干草堆中.
It was suggested to me that it would be easier to copy both needle and haystack into a numpy/scipy array. And then I can just use a function that checks to see if the 2D array needle is inside the 2D array haystack.
我需要帮助:
1)将这些数组转换为numpy数组.
1) converting those arrays to numpy arrays.
2)用于检查2D阵列针是否在2D阵列干草堆内部的函数.我的功能不起作用.
2) a function that checks to see if the 2D array needle is inside the 2D array haystack. My function doesn't work.
这些是图像:
针:
干草堆:
These are the images:
Needle:
Haystack:
推荐答案
您可以在opencv中使用matchTemplate
来检测位置:
You can use matchTemplate
in opencv to detect the position:
import cv2
import numpy as np
import pylab as pl
needle = cv2.imread("needle.png")
haystack = cv2.imread("haystack.jpg")
diff = cv2.matchTemplate(haystack, needle, cv2.TM_CCORR_NORMED)
x, y = np.unravel_index(np.argmax(diff), diff.shape)
pl.figure(figsize=(12, 8))
im = pl.imshow(haystack[:,:, ::-1])
ax = pl.gca()
ax.add_artist(pl.Rectangle((y, x), needle.shape[1], needle.shape[0], transform=ax.transData, alpha=0.6))
这是输出:
这篇关于如何检测一个2D数组是否在另一个2D数组中?的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!