python中列表的值在我没有尝试更改它们的情况下发生了变化

时间:2014-10-02 07:52:44

标签: python list numpy append repeat

我试图创建一个程序来限制不同的颜色,在程序中我有一个返回到最后颜色范围的功能,但每次我尝试向列表添加新值时(minse,maxse) )保存这些旧值后,列表中该特定颜色的所有列表将转换为新的附加列表。

import cv2
import numpy as np
import cPickle as pickle
from matplotlib import pyplot as plt

def nothing(x):
    pass

cap = cv2.VideoCapture(0)
cv2.namedWindow('image')
#last values
minse = [[],[],[]]
maxse = [[],[],[]]
p = 0
try:
    mins, maxs= pickle.load(open("varvid.p", "rb"))
except:
    mins = np.array([[255,255,255],[255,255,255],[255,255,255]])
    maxs = np.array([[0,0,0],[0,0,0],[0,0,0]])


cv2.createTrackbar('brush_size','image',1,10, nothing)
cv2.createTrackbar('vahe','image',0,50, nothing)


# mouse callback function
def choose_color(event,x,y,flags,param):
    global mins, maxs, minse, maxse, p, brush_size, vahe

    if event == cv2.EVENT_LBUTTONDOWN:
        nx = brush_size
        ny = brush_size
        pixs = hsv[y-ny:y+ny,x-nx:x+nx,:] 
        print minse[p]
        print mins[p]
        minse[p].append(mins[p])
        print minse[p]
        maxse[p].append(maxs[p])
        mins[p]=np.minimum(mins[p], pixs.min(0).min(0) - vahe).clip(0, 255).astype('uint8')
        print mins[p]
        maxs[p]=np.maximum(maxs[p], pixs.max(0).max(0) + vahe).clip(0, 255).astype('uint8')

#deletes lasts maxs and mins
def eelmised_varvid():
    global maxs, maxse, mins, minse, p
    try:    

        maxs[p] = maxse[p].pop()
        mins[p] = minse[p].pop()

    except:
        mins[p] = np.array([255,255,255])
        maxs[p] = np.array([0,0,0])

cv2.namedWindow('tava')
cv2.setMouseCallback('tava', choose_color)

print("For exiting press 'q', to save the values 's', ball colors - 'p', yellow - 'y' and blue -  'b', default is  the ball")

while(True):
    # Capture frame-by-frame
    ret, frame = cap.read()

    hsv = cv2.cvtColor(frame,cv2.COLOR_BGR2HSV) 
    brush_size =cv2.getTrackbarPos('brush_size','image')
    vahe = cv2.getTrackbarPos('brush_size','image')

    # Display the resulting frame
    median = cv2.medianBlur(hsv,5)
    mask = cv2.inRange(hsv, mins[p], maxs[p])


    cv2.imshow('tava', median)
    cv2.imshow('mask', mask)
    k = cv2.waitKey(1) & 0xFF

    if k == ord('q'):
        break
    elif k == ord('p'):
        p = 0
    elif k == ord('y'):
        p = 1
    elif k == ord('b'):
        p = 2
    elif k == ord('s'):
        pickle.dump([mins,maxs], open("varvid.p", "wb"))
    elif k == ord('e'):
        eelmised_varvid()
# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()

问题应该在代码的这一部分:

def choose_color(event,x,y,flags,param):
    global mins, maxs, minse, maxse, p, brush_size, vahe

    if event == cv2.EVENT_LBUTTONDOWN:
        nx = brush_size
        ny = brush_size
        pixs = hsv[y-ny:y+ny,x-nx:x+nx,:]
        print"The value that should be appended to the old value list:",mins[p]
        print"The old value list before appending:", minse[p]
        minse[p].append(mins[p])
        print"The old value list after appending:",minse[p]
        maxse[p].append(maxs[p])
        mins[p]=np.minimum(mins[p], pixs.min(0).min(0) - vahe).clip(0, 255).astype('uint8')
        maxs[p]=np.maximum(maxs[p], pixs.max(0).max(0) + vahe).clip(0, 255).astype('uint8')

和一个例子:首先点击:     应附加到旧值列表的值:[255 255 255]     附加前的旧值列表:[]     追加后的旧值列表:[array([255 255,255])] 并点击第二次:     应附加到旧值列表的值:[84 33 237]     附加前的旧值列表:[array([84,33,237])]     追加后的旧值列表:[array([84,33,237]),array([84,33,237])]

编辑: 好吧,我试图再调试一下,发现它不是.append()函数问题,但由于某种原因这行代码:

mins[p]=np.minimum(mins[p], pixs.min(0).min(0) - vahe).clip(0, 255).astype('uint8')

更改minse [p]

的值

任何帮助都会得到满足并提前感谢:)

1 个答案:

答案 0 :(得分:1)

问题是,Python列表并不真正存储“数据”,它只存储对其他对象的引用。你的问题可以减少:

list_ = []
thing = [0, 0]
list_.append(thing)
print list_
# [[0, 0]]

thing[0] = 1
list_.append(thing)
print list_
# [[1, 0], [1, 0]]

因此,当您执行上述操作时,最终会得到[thing, thing]之类的列表。 thing的瞬时内容决定了list_的内容。

另外,请注意,当你现在这样做时:

thing = [2, 2]
list_.append(thing)
print list_
# [[1, 0], [1, 0], [2, 2]]

列表的旧内容没有更改,因为您没有更改 thing,或者更确切地说,标签“thing”引用的对象。而是将新对象分配给标签“thing”,这不会弄乱先前附加到该标签的对象。

当列表中放入的内容(或其他集合类型)是“可变”对象时,这种行为只是一个问题,例如, listdict或Numpy数组。有关详细信息,请参阅this question

解决方案:制作放在列表中的对象的副本。在你的情况下:

minse[p].append(mins[p].copy())