我有一个列表，每次我 运行 我的程序时都会复制自己或附加自己，我真的不明白（python with opencv）
I have a list which copies itself or appends itself every time I run my program and I really don't understand (python with opencv)
我实际上是在使用 CSRT 跟踪器使用 Opencv 编写多跟踪器。 （我使用了在线代码并根据需要对其进行了修改，这是来源：https://learnopencv.com/multitracker-multiple-object-tracking-using-opencv-c-python/ ）
每次边界框 'updated' 时，其坐标都会添加到列表中。
对于我必须列出的每个 bbox（边界框），一个用于 bbox 左上角的 x 和 y 坐标，另一个用于右下角的 x 和 y 坐标。 （这些列表分别称为 p1 和 p2。）
我已经完成了几乎所有我想做的事情，但是 bbox 1 的 p2 列表不会停止复制自身或类似第三个 bbox 的 p2 列表中的内容，而且它不依赖于多少 bbox存在。
请注意，我不想要任何关于改进或优化它的评论，我不关心它。
另请注意，该程序是 运行 最多 6 个 bbox，这很正常，我不需要更多，但如果我需要，程序可以 运行 1、2 或至少 6 个 bbox .
如果我幸运的话，这是一个愚蠢的错误，但我无法得到它，所以也许其他人看起来比我能找到它更好！ ^^
这是我的又长又丑的未经优化的程序！ （感谢您帮助我！）：
from __future__ import print_function
import sys
import cv2
import time
from random import randint
#here we're asking data to calculate the number of frames the program will have to show while measuring bounding boxes coordinates and mensuration
framespersecond = int(input("Please enter the framerate of your video/camera per second (without unities please):"))
time.sleep(0.5)
print("Thanks.")
time.sleep(0.5)
timeplayed = int(input("Now, please enter the time you want it to run:(If you wont run a certain amount of time, please enter 0.)"))
if timeplayed == 0:
time.sleep(0.5)
numbofframes = int(input("Oh. Please enter the number of frames you want to play:"))
else:
numbofframes = timeplayed*framespersecond
#we create some of the lists we'll need, the first one to know how much bounding boxes were created and the others for coordinates
bboxnumber = 0
bboxescoord1p1 = []
bboxescoord1p2 = []
bboxescoord2p1 = []
bboxescoord2p2 = []
bboxescoord3p1 = []
bboxescoord3p2 = []
bboxescoord4p1 = []
bboxescoord4p2 = []
bboxescoord5p1 = []
bboxescoord5p2 = []
bboxescoord6p1 = []
bboxescoord6p2 = []
#this timer is for when we use the 'camera' calculation method instead of the video calculation method
#time.sleep(5)
# Set video to load
videoPath = "python-bouncing-ball-simulator-5_V9F95rFx_JQ0y(1).mp4"
#0=intérieure 1=extérieure
#videoPath = 0
# Create a video capture object to read videos
cap = cv2.VideoCapture(videoPath)
# Read first frame
success, frame = cap.read()
# quit if unable to read the video file
if not success:
print('Failed to read video')
sys.exit(1)
trackerTypes = ['BOOSTING', 'MIL', 'KCF','TLD', 'MEDIANFLOW', 'GOTURN', 'MOSSE', 'CSRT']
def createTrackerByName(trackerType):
# Create a tracker based on tracker name
if trackerType == trackerTypes[0]:
tracker = cv2.legacy.TrackerBoosting_create()
elif trackerType == trackerTypes[1]:
tracker = cv2.legacy.TrackerMIL_create()
elif trackerType == trackerTypes[2]:
tracker = cv2.legacy.TrackerKCF_create()
elif trackerType == trackerTypes[3]:
tracker = cv2.legacy.TrackerTLD_create()
elif trackerType == trackerTypes[4]:
tracker = cv2.legacy.TrackerMedianFlow_create()
elif trackerType == trackerTypes[5]:
tracker = cv2.legacy.TrackerGOTURN_create()
elif trackerType == trackerTypes[6]:
tracker = cv2.legacy.TrackerMOSSE_create()
elif trackerType == trackerTypes[7]:
tracker = cv2.legacy.TrackerCSRT_create()
else:
tracker = None
print('Incorrect tracker name')
print('Available trackers are:')
for t in trackerTypes:
print(t)
return tracker
## Select boxes
bboxes = []
colors = []
# OpenCV's selectROI function doesn't work for selecting multiple objects in Python
# So we will call this function in a loop till we are done selecting all objects
while True:
# draw bounding boxes over objects
# selectROI's default behavior is to draw box starting from the center
# when fromCenter is set to false, you can draw box starting from top left corner
bbox = cv2.selectROI('MultiTracker', frame)
bboxes.append(bbox)
bboxnumber +=1
colors.append((randint(0, 255), randint(0, 255), randint(0, 255)))
print("Press q to quit selecting boxes and start tracking")
print("Press any other key to select next object")
k = cv2.waitKey(0) & 0xFF
if (k == 113): # q is pressed
print(f"\n\n\n\n\n\n\n\n\n\n")
break
print('Selected bounding boxes {}'.format(bboxes))
# Specify the tracker type
trackerType = "CSRT"
# Create MultiTracker object
multiTracker = cv2.legacy.MultiTracker_create()
# Initialize MultiTracker
for bbox in bboxes:
multiTracker.add(createTrackerByName(trackerType), frame, bbox)
whereami = 1
whereamitot= 0
# Process video and track objects
for i in range(numbofframes):
success, frame = cap.read()
if not success:
break
# get updated location of objects in subsequent frames
success, boxes = multiTracker.update(frame)
# draw tracked objects
for i, newbox in enumerate(boxes):
whereamitot+=1
p1 = (int(newbox[0]), int(newbox[1]))
p2 = (int(newbox[0] + newbox[2]), int(newbox[1] + newbox[3]))
cv2.rectangle(frame, p1, p2, colors[i], 2, 1)
#define in which list we will put data depending on which bounding box we are 'looking' at
#p1 are the coordinates of the top left corner and p2 the coordinates of the the bottom right corner
if whereami ==1:
bboxescoord1p1.append(p1)
bboxescoord1p2.append(p2)
print("---------------------------------")
elif whereami ==2:
bboxescoord2p1.append(p1)
bboxescoord2p2.append(p2)
print("SHEEEEEEEEEEEEEEEEEEEEEEEEEEEEESsh")
elif whereami ==3:
print("lblblbl")
bboxescoord3p1.append(p1)
bboxescoord3p2.append(p2)
elif whereami ==4:
bboxescoord4p1.append(p1)
bboxescoord4p2.append(p2)
elif whereami ==5:
bboxescoord5p1.append(p1)
bboxescoord5p2.append(p2)
elif whereami ==6:
bboxescoord6p1.append(p1)
bboxescoord6p2.append(p2)
#define next lists to fill with data depending of the number of bounding boxes and depending of where in the list list we already are (this is not optimized but who cares?)
if bboxnumber ==1:
whereami =1
elif bboxnumber ==2:
if whereami == 1:
whereami+=1
elif whereami==2:
whereami=1
else:
print("Error in the whereami 2nd section.")
elif bboxnumber==3:
if whereami<3:
whereami+=1
elif whereami==3:
whereami=1
else:
print("Error in the whereami 3nd section.")
elif bboxnumber==4:
if whereami<4:
whereami+=1
elif whereami==4:
whereami=1
else:
print("Error in the whereami 4th section.")
elif bboxnumber==5:
if whereami<5:
whereami+=1
elif whereami==5:
whereami=1
else:
print("Error in the whereami 5th section.")
elif bboxnumber==6:
if whereami<6:
whereami+=1
elif whereami==6:
whereami=1
else:
print("Error in the whereami 6th section.")
else:
print("Error in the 'whereami/bboxnumber' section.")
# show frame
cv2.imshow('MultiTracker', frame)
# quit on ESC button
if cv2.waitKey(1) == 27: # esc pressed
print(bboxescoord)
index = 0
cap.release()
datatotnumber = whereamitot
datanumber = datatotnumber/bboxnumber
print(f"\nNUMBER OF FRAMES : {numbofframes}")
print(f"DATA MANIPULATED :{datatotnumber}")
print(f"\np1 is the list of the coordinates of the top left corner, and p2 is the width and height.")
print(f"\n\nDATA\n\n")
if bboxnumber==1:
print(f"1:\n\np1:{bboxescoord1p1}\n\np2:{bboxescoord1p2}\n\n\n")
elif bboxnumber==2:
print(f"1:\n\np1:{bboxescoord1p1}\n\np2:{bboxescoord1p2}\n\n\n")
print(f"2:\n\np1:{bboxescoord2p1}\n\np2:{bboxescoord2p2}\n\n\n")
elif bboxnumber ==3:
print(f"1:\n\np1:{bboxescoord1p1}\n\np2:{bboxescoord1p2}\n\n\n")
print(f"2:\n\np1:{bboxescoord2p1}\n\np2:{bboxescoord2p2}\n\n\n")
print(f"3:\n\np1:{bboxescoord3p1}\n\np2:{bboxescoord1p2}\n\n\n")
elif bboxnumber==4:
print(f"1:\n\np1:{bboxescoord1p1}\n\np2:{bboxescoord1p2}\n\n\n")
print(f"2:\n\np1:{bboxescoord2p1}\n\np2:{bboxescoord2p2}\n\n\n")
print(f"3:\n\np1:{bboxescoord3p1}\n\np2:{bboxescoord1p2}\n\n\n")
print(f"4:\n\np1:{bboxescoord4p1}\n\np2:{bboxescoord4p2}\n\n\n")
elif bboxnumber==5:
print(f"1:\n\np1:{bboxescoord1p1}\n\np2:{bboxescoord1p2}\n\n\n")
print(f"2:\n\np1:{bboxescoord2p1}\n\np2:{bboxescoord2p2}\n\n\n")
print(f"3:\n\np1:{bboxescoord3p1}\n\np2:{bboxescoord1p2}\n\n\n")
print(f"4:\n\np1:{bboxescoord4p1}\n\np2:{bboxescoord4p2}\n\n\n")
print(f"5:\n\np1:{bboxescoord5p1}\n\np2:{bboxescoord5p2}\n\n\n")
elif bboxnumber==6:
print(f"1:\n\np1:{bboxescoord1p1}\n\np2:{bboxescoord1p2}\n\n\n")
print(f"2:\n\np1:{bboxescoord2p1}\n\np2:{bboxescoord2p2}\n\n\n")
print(f"3:\n\np1:{bboxescoord3p1}\n\np2:{bboxescoord1p2}\n\n\n")
print(f"4:\n\np1:{bboxescoord4p1}\n\np2:{bboxescoord4p2}\n\n\n")
print(f"5:\n\np1:{bboxescoord5p1}\n\np2:{bboxescoord5p2}\n\n\n")
print(f"6:\n\np1:{bboxescoord6p1}\n\np2:{bboxescoord6p2}")
else:
print ("Can't print the lists blblblblb")
编辑
这是我从 IDLE 中得到的：
DATA
1:
p1:[(538, 534), (541, 543), (544, 553), (546, 562), (544, 554), (541, 546), (539, 538), (536, 530), (534, 522), (531, 514), (528, 507), (526, 500), (524, 492), (521, 485), (518, 477), (516, 469), (516, 469), (513, 462), (511, 455), (508, 448), (506, 441), (503, 435), (501, 428), (498, 421), (496, 415), (494, 408), (494, 402), (493, 397), (493, 392), (491, 386), (490, 380), (490, 374), (489, 369), (488, 364), (487, 358), (486, 353), (486, 348), (484, 344), (484, 339), (483, 334), (482, 330), (481, 324), (480, 319), (480, 315), (478, 311), (478, 307), (477, 303), (476, 298), (475, 294), (474, 290), (471, 284), (470, 278), (466, 271), (469, 266), (470, 263), (471, 259), (474, 256), (475, 252), (476, 249), (476, 245)]
p2:[(561, 560), (564, 569), (567, 579), (569, 588), (567, 580), (564, 572), (562, 564), (559, 556), (557, 548), (554, 540), (551, 533), (549, 526), (547, 518), (544, 511), (541, 503), (539, 495), (539, 495), (536, 488), (534, 481), (531, 474), (529, 467), (526, 461), (524, 454), (521, 447), (519, 441), (517, 434), (517, 428), (516, 423), (516, 418), (514, 412), (513, 406), (513, 400), (512, 395), (511, 390), (510, 384), (509, 379), (509, 374), (507, 370), (507, 365), (506, 360), (505, 356), (504, 350), (503, 345), (503, 341), (501, 337), (501, 333), (500, 329), (499, 324), (498, 320), (497, 316), (494, 310), (493, 304), (489, 297), (492, 292), (493, 289), (494, 285), (497, 282), (498, 278), (499, 275), (499, 271)]
2:
p1:[(436, 539), (436, 548), (434, 558), (434, 567), (433, 576), (432, 585), (431, 595), (430, 586), (429, 578), (429, 570), (428, 561), (427, 553), (426, 545), (425, 536), (424, 528), (423, 520), (424, 520), (423, 512), (422, 503), (422, 496), (421, 488), (420, 480), (419, 473), (418, 465), (417, 458), (416, 451), (415, 443), (414, 436), (413, 429), (413, 422), (412, 416), (411, 408), (411, 401), (410, 394), (409, 388), (408, 382), (407, 376), (406, 369), (405, 362), (404, 356), (403, 350), (403, 344), (402, 339), (401, 333), (400, 327), (400, 321), (398, 316), (398, 310), (397, 305), (396, 301), (398, 296), (401, 292), (403, 288), (406, 284), (408, 280), (411, 277), (413, 273), (416, 269), (418, 266), (420, 262)]
p2:[(456, 553), (456, 562), (454, 572), (454, 581), (453, 590), (452, 599), (451, 609), (450, 600), (449, 592), (449, 584), (448, 575), (447, 567), (446, 559), (445, 550), (444, 542), (443, 534), (444, 534), (443, 526), (442, 517), (442, 510), (441, 502), (440, 494), (439, 487), (438, 479), (437, 472), (436, 465), (435, 457), (434, 450), (433, 443), (433, 436), (432, 430), (431, 422), (431, 415), (430, 408), (429, 402), (428, 396), (427, 390), (426, 383), (425, 376), (424, 370), (423, 364), (423, 358), (422, 353), (421, 347), (420, 341), (420, 335), (418, 330), (418, 324), (417, 319), (416, 315), (418, 310), (421, 306), (423, 302), (426, 298), (428, 294), (431, 291), (433, 287), (436, 283), (438, 280), (440, 276)]
3:
p1:[]
p2:[(561, 560), (564, 569), (567, 579), (569, 588), (567, 580), (564, 572), (562, 564), (559, 556), (557, 548), (554, 540), (551, 533), (549, 526), (547, 518), (544, 511), (541, 503), (539, 495), (539, 495), (536, 488), (534, 481), (531, 474), (529, 467), (526, 461), (524, 454), (521, 447), (519, 441), (517, 434), (517, 428), (516, 423), (516, 418), (514, 412), (513, 406), (513, 400), (512, 395), (511, 390), (510, 384), (509, 379), (509, 374), (507, 370), (507, 365), (506, 360), (505, 356), (504, 350), (503, 345), (503, 341), (501, 337), (501, 333), (500, 329), (499, 324), (498, 320), (497, 316), (494, 310), (493, 304), (489, 297), (492, 292), (493, 289), (494, 285), (497, 282), (498, 278), (499, 275), (499, 271)]
嗯，看了差不多3遍我就明白了。
如果我不能以其他方式做到这一点，那么使用具有兄弟姐妹名字的列表并不是一件好事，我只是打印另一个列表 x3
我实际上是在使用 CSRT 跟踪器使用 Opencv 编写多跟踪器。 （我使用了在线代码并根据需要对其进行了修改，这是来源：https://learnopencv.com/multitracker-multiple-object-tracking-using-opencv-c-python/ ） 每次边界框 'updated' 时，其坐标都会添加到列表中。
对于我必须列出的每个 bbox（边界框），一个用于 bbox 左上角的 x 和 y 坐标，另一个用于右下角的 x 和 y 坐标。 （这些列表分别称为 p1 和 p2。）
我已经完成了几乎所有我想做的事情，但是 bbox 1 的 p2 列表不会停止复制自身或类似第三个 bbox 的 p2 列表中的内容，而且它不依赖于多少 bbox存在。 请注意，我不想要任何关于改进或优化它的评论，我不关心它。 另请注意，该程序是 运行 最多 6 个 bbox，这很正常，我不需要更多，但如果我需要，程序可以 运行 1、2 或至少 6 个 bbox .
如果我幸运的话，这是一个愚蠢的错误，但我无法得到它，所以也许其他人看起来比我能找到它更好！ ^^
这是我的又长又丑的未经优化的程序！ （感谢您帮助我！）：
from __future__ import print_function
import sys
import cv2
import time
from random import randint
#here we're asking data to calculate the number of frames the program will have to show while measuring bounding boxes coordinates and mensuration
framespersecond = int(input("Please enter the framerate of your video/camera per second (without unities please):"))
time.sleep(0.5)
print("Thanks.")
time.sleep(0.5)
timeplayed = int(input("Now, please enter the time you want it to run:(If you wont run a certain amount of time, please enter 0.)"))
if timeplayed == 0:
time.sleep(0.5)
numbofframes = int(input("Oh. Please enter the number of frames you want to play:"))
else:
numbofframes = timeplayed*framespersecond
#we create some of the lists we'll need, the first one to know how much bounding boxes were created and the others for coordinates
bboxnumber = 0
bboxescoord1p1 = []
bboxescoord1p2 = []
bboxescoord2p1 = []
bboxescoord2p2 = []
bboxescoord3p1 = []
bboxescoord3p2 = []
bboxescoord4p1 = []
bboxescoord4p2 = []
bboxescoord5p1 = []
bboxescoord5p2 = []
bboxescoord6p1 = []
bboxescoord6p2 = []
#this timer is for when we use the 'camera' calculation method instead of the video calculation method
#time.sleep(5)
# Set video to load
videoPath = "python-bouncing-ball-simulator-5_V9F95rFx_JQ0y(1).mp4"
#0=intérieure 1=extérieure
#videoPath = 0
# Create a video capture object to read videos
cap = cv2.VideoCapture(videoPath)
# Read first frame
success, frame = cap.read()
# quit if unable to read the video file
if not success:
print('Failed to read video')
sys.exit(1)
trackerTypes = ['BOOSTING', 'MIL', 'KCF','TLD', 'MEDIANFLOW', 'GOTURN', 'MOSSE', 'CSRT']
def createTrackerByName(trackerType):
# Create a tracker based on tracker name
if trackerType == trackerTypes[0]:
tracker = cv2.legacy.TrackerBoosting_create()
elif trackerType == trackerTypes[1]:
tracker = cv2.legacy.TrackerMIL_create()
elif trackerType == trackerTypes[2]:
tracker = cv2.legacy.TrackerKCF_create()
elif trackerType == trackerTypes[3]:
tracker = cv2.legacy.TrackerTLD_create()
elif trackerType == trackerTypes[4]:
tracker = cv2.legacy.TrackerMedianFlow_create()
elif trackerType == trackerTypes[5]:
tracker = cv2.legacy.TrackerGOTURN_create()
elif trackerType == trackerTypes[6]:
tracker = cv2.legacy.TrackerMOSSE_create()
elif trackerType == trackerTypes[7]:
tracker = cv2.legacy.TrackerCSRT_create()
else:
tracker = None
print('Incorrect tracker name')
print('Available trackers are:')
for t in trackerTypes:
print(t)
return tracker
## Select boxes
bboxes = []
colors = []
# OpenCV's selectROI function doesn't work for selecting multiple objects in Python
# So we will call this function in a loop till we are done selecting all objects
while True:
# draw bounding boxes over objects
# selectROI's default behavior is to draw box starting from the center
# when fromCenter is set to false, you can draw box starting from top left corner
bbox = cv2.selectROI('MultiTracker', frame)
bboxes.append(bbox)
bboxnumber +=1
colors.append((randint(0, 255), randint(0, 255), randint(0, 255)))
print("Press q to quit selecting boxes and start tracking")
print("Press any other key to select next object")
k = cv2.waitKey(0) & 0xFF
if (k == 113): # q is pressed
print(f"\n\n\n\n\n\n\n\n\n\n")
break
print('Selected bounding boxes {}'.format(bboxes))
# Specify the tracker type
trackerType = "CSRT"
# Create MultiTracker object
multiTracker = cv2.legacy.MultiTracker_create()
# Initialize MultiTracker
for bbox in bboxes:
multiTracker.add(createTrackerByName(trackerType), frame, bbox)
whereami = 1
whereamitot= 0
# Process video and track objects
for i in range(numbofframes):
success, frame = cap.read()
if not success:
break
# get updated location of objects in subsequent frames
success, boxes = multiTracker.update(frame)
# draw tracked objects
for i, newbox in enumerate(boxes):
whereamitot+=1
p1 = (int(newbox[0]), int(newbox[1]))
p2 = (int(newbox[0] + newbox[2]), int(newbox[1] + newbox[3]))
cv2.rectangle(frame, p1, p2, colors[i], 2, 1)
#define in which list we will put data depending on which bounding box we are 'looking' at
#p1 are the coordinates of the top left corner and p2 the coordinates of the the bottom right corner
if whereami ==1:
bboxescoord1p1.append(p1)
bboxescoord1p2.append(p2)
print("---------------------------------")
elif whereami ==2:
bboxescoord2p1.append(p1)
bboxescoord2p2.append(p2)
print("SHEEEEEEEEEEEEEEEEEEEEEEEEEEEEESsh")
elif whereami ==3:
print("lblblbl")
bboxescoord3p1.append(p1)
bboxescoord3p2.append(p2)
elif whereami ==4:
bboxescoord4p1.append(p1)
bboxescoord4p2.append(p2)
elif whereami ==5:
bboxescoord5p1.append(p1)
bboxescoord5p2.append(p2)
elif whereami ==6:
bboxescoord6p1.append(p1)
bboxescoord6p2.append(p2)
#define next lists to fill with data depending of the number of bounding boxes and depending of where in the list list we already are (this is not optimized but who cares?)
if bboxnumber ==1:
whereami =1
elif bboxnumber ==2:
if whereami == 1:
whereami+=1
elif whereami==2:
whereami=1
else:
print("Error in the whereami 2nd section.")
elif bboxnumber==3:
if whereami<3:
whereami+=1
elif whereami==3:
whereami=1
else:
print("Error in the whereami 3nd section.")
elif bboxnumber==4:
if whereami<4:
whereami+=1
elif whereami==4:
whereami=1
else:
print("Error in the whereami 4th section.")
elif bboxnumber==5:
if whereami<5:
whereami+=1
elif whereami==5:
whereami=1
else:
print("Error in the whereami 5th section.")
elif bboxnumber==6:
if whereami<6:
whereami+=1
elif whereami==6:
whereami=1
else:
print("Error in the whereami 6th section.")
else:
print("Error in the 'whereami/bboxnumber' section.")
# show frame
cv2.imshow('MultiTracker', frame)
# quit on ESC button
if cv2.waitKey(1) == 27: # esc pressed
print(bboxescoord)
index = 0
cap.release()
datatotnumber = whereamitot
datanumber = datatotnumber/bboxnumber
print(f"\nNUMBER OF FRAMES : {numbofframes}")
print(f"DATA MANIPULATED :{datatotnumber}")
print(f"\np1 is the list of the coordinates of the top left corner, and p2 is the width and height.")
print(f"\n\nDATA\n\n")
if bboxnumber==1:
print(f"1:\n\np1:{bboxescoord1p1}\n\np2:{bboxescoord1p2}\n\n\n")
elif bboxnumber==2:
print(f"1:\n\np1:{bboxescoord1p1}\n\np2:{bboxescoord1p2}\n\n\n")
print(f"2:\n\np1:{bboxescoord2p1}\n\np2:{bboxescoord2p2}\n\n\n")
elif bboxnumber ==3:
print(f"1:\n\np1:{bboxescoord1p1}\n\np2:{bboxescoord1p2}\n\n\n")
print(f"2:\n\np1:{bboxescoord2p1}\n\np2:{bboxescoord2p2}\n\n\n")
print(f"3:\n\np1:{bboxescoord3p1}\n\np2:{bboxescoord1p2}\n\n\n")
elif bboxnumber==4:
print(f"1:\n\np1:{bboxescoord1p1}\n\np2:{bboxescoord1p2}\n\n\n")
print(f"2:\n\np1:{bboxescoord2p1}\n\np2:{bboxescoord2p2}\n\n\n")
print(f"3:\n\np1:{bboxescoord3p1}\n\np2:{bboxescoord1p2}\n\n\n")
print(f"4:\n\np1:{bboxescoord4p1}\n\np2:{bboxescoord4p2}\n\n\n")
elif bboxnumber==5:
print(f"1:\n\np1:{bboxescoord1p1}\n\np2:{bboxescoord1p2}\n\n\n")
print(f"2:\n\np1:{bboxescoord2p1}\n\np2:{bboxescoord2p2}\n\n\n")
print(f"3:\n\np1:{bboxescoord3p1}\n\np2:{bboxescoord1p2}\n\n\n")
print(f"4:\n\np1:{bboxescoord4p1}\n\np2:{bboxescoord4p2}\n\n\n")
print(f"5:\n\np1:{bboxescoord5p1}\n\np2:{bboxescoord5p2}\n\n\n")
elif bboxnumber==6:
print(f"1:\n\np1:{bboxescoord1p1}\n\np2:{bboxescoord1p2}\n\n\n")
print(f"2:\n\np1:{bboxescoord2p1}\n\np2:{bboxescoord2p2}\n\n\n")
print(f"3:\n\np1:{bboxescoord3p1}\n\np2:{bboxescoord1p2}\n\n\n")
print(f"4:\n\np1:{bboxescoord4p1}\n\np2:{bboxescoord4p2}\n\n\n")
print(f"5:\n\np1:{bboxescoord5p1}\n\np2:{bboxescoord5p2}\n\n\n")
print(f"6:\n\np1:{bboxescoord6p1}\n\np2:{bboxescoord6p2}")
else:
print ("Can't print the lists blblblblb")
编辑
这是我从 IDLE 中得到的：
DATA
1:
p1:[(538, 534), (541, 543), (544, 553), (546, 562), (544, 554), (541, 546), (539, 538), (536, 530), (534, 522), (531, 514), (528, 507), (526, 500), (524, 492), (521, 485), (518, 477), (516, 469), (516, 469), (513, 462), (511, 455), (508, 448), (506, 441), (503, 435), (501, 428), (498, 421), (496, 415), (494, 408), (494, 402), (493, 397), (493, 392), (491, 386), (490, 380), (490, 374), (489, 369), (488, 364), (487, 358), (486, 353), (486, 348), (484, 344), (484, 339), (483, 334), (482, 330), (481, 324), (480, 319), (480, 315), (478, 311), (478, 307), (477, 303), (476, 298), (475, 294), (474, 290), (471, 284), (470, 278), (466, 271), (469, 266), (470, 263), (471, 259), (474, 256), (475, 252), (476, 249), (476, 245)]
p2:[(561, 560), (564, 569), (567, 579), (569, 588), (567, 580), (564, 572), (562, 564), (559, 556), (557, 548), (554, 540), (551, 533), (549, 526), (547, 518), (544, 511), (541, 503), (539, 495), (539, 495), (536, 488), (534, 481), (531, 474), (529, 467), (526, 461), (524, 454), (521, 447), (519, 441), (517, 434), (517, 428), (516, 423), (516, 418), (514, 412), (513, 406), (513, 400), (512, 395), (511, 390), (510, 384), (509, 379), (509, 374), (507, 370), (507, 365), (506, 360), (505, 356), (504, 350), (503, 345), (503, 341), (501, 337), (501, 333), (500, 329), (499, 324), (498, 320), (497, 316), (494, 310), (493, 304), (489, 297), (492, 292), (493, 289), (494, 285), (497, 282), (498, 278), (499, 275), (499, 271)]
2:
p1:[(436, 539), (436, 548), (434, 558), (434, 567), (433, 576), (432, 585), (431, 595), (430, 586), (429, 578), (429, 570), (428, 561), (427, 553), (426, 545), (425, 536), (424, 528), (423, 520), (424, 520), (423, 512), (422, 503), (422, 496), (421, 488), (420, 480), (419, 473), (418, 465), (417, 458), (416, 451), (415, 443), (414, 436), (413, 429), (413, 422), (412, 416), (411, 408), (411, 401), (410, 394), (409, 388), (408, 382), (407, 376), (406, 369), (405, 362), (404, 356), (403, 350), (403, 344), (402, 339), (401, 333), (400, 327), (400, 321), (398, 316), (398, 310), (397, 305), (396, 301), (398, 296), (401, 292), (403, 288), (406, 284), (408, 280), (411, 277), (413, 273), (416, 269), (418, 266), (420, 262)]
p2:[(456, 553), (456, 562), (454, 572), (454, 581), (453, 590), (452, 599), (451, 609), (450, 600), (449, 592), (449, 584), (448, 575), (447, 567), (446, 559), (445, 550), (444, 542), (443, 534), (444, 534), (443, 526), (442, 517), (442, 510), (441, 502), (440, 494), (439, 487), (438, 479), (437, 472), (436, 465), (435, 457), (434, 450), (433, 443), (433, 436), (432, 430), (431, 422), (431, 415), (430, 408), (429, 402), (428, 396), (427, 390), (426, 383), (425, 376), (424, 370), (423, 364), (423, 358), (422, 353), (421, 347), (420, 341), (420, 335), (418, 330), (418, 324), (417, 319), (416, 315), (418, 310), (421, 306), (423, 302), (426, 298), (428, 294), (431, 291), (433, 287), (436, 283), (438, 280), (440, 276)]
3:
p1:[]
p2:[(561, 560), (564, 569), (567, 579), (569, 588), (567, 580), (564, 572), (562, 564), (559, 556), (557, 548), (554, 540), (551, 533), (549, 526), (547, 518), (544, 511), (541, 503), (539, 495), (539, 495), (536, 488), (534, 481), (531, 474), (529, 467), (526, 461), (524, 454), (521, 447), (519, 441), (517, 434), (517, 428), (516, 423), (516, 418), (514, 412), (513, 406), (513, 400), (512, 395), (511, 390), (510, 384), (509, 379), (509, 374), (507, 370), (507, 365), (506, 360), (505, 356), (504, 350), (503, 345), (503, 341), (501, 337), (501, 333), (500, 329), (499, 324), (498, 320), (497, 316), (494, 310), (493, 304), (489, 297), (492, 292), (493, 289), (494, 285), (497, 282), (498, 278), (499, 275), (499, 271)]
嗯，看了差不多3遍我就明白了。 如果我不能以其他方式做到这一点，那么使用具有兄弟姐妹名字的列表并不是一件好事，我只是打印另一个列表 x3