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Open CV Error: Multiple bounding boxes are being created around one single object during automated annotation...
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I am trying to automate bounding box creation process for my train and test images using Open CV.
The error I am receiving is : multiple bounding boxes are being created around one single object.
Where the original image(before annotation) is like this:
I am giving below the code I used:
import cv2
import numpy as np
from os import listdir
from os.path import isfile, join
import numpy
import config
mypath = config.mypath
xx = mypath.split('/')
folder_path = xx[-2]
onlyfiles = [ f for f in listdir(mypath) if isfile(join(mypath,f)) ]
images = numpy.empty(len(onlyfiles), dtype=object)
for n in range(0, len(onlyfiles)):
#images[n] = cv2.imread( join(mypath,onlyfiles[n]) )
images[n] = cv2.imread( join(mypath,onlyfiles[n]),1 )
xy = onlyfiles[n].split('.')
print(xy[0])
#img = cv2.imread('345.jpg')
img = images[n]
#print(images[n])
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# binarize the image
ret, bw = cv2.threshold(gray, 128, 255,
cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)
# find connected components
connectivity = 4
nb_components, output, stats, centroids = cv2.connectedComponentsWithStats(bw, connectivity, cv2.CV_32S)
sizes = stats[1:, -1]; nb_components = nb_components - 1
min_size = 25000 #threshhold value for objects in scene
img2 = np.zeros((img.shape), np.uint8)
for i in range(0, nb_components+1):
#print(i)
# use if sizes[i] >= min_size: to identify your objects
color = np.random.randint(255,size=3)
x = (stats[i][2])
if (650>x>130):
#cv2.rectangle(img, (217,203),(349,335), (0,255,0), 2)
x1 = stats[i][0]
x2 = stats[i][1]
x3 = stats[i][0]+stats[i][2]
x4 = stats[i][1]+stats[i][3]
cv2.rectangle(img, (x1,x2),(x3,x4), (0,255,0), 2)
print((x1,x2),(x3,x4))
#print (stats[i][2])
# draw the bounding rectangele around each object
img2[output == i + 1] = color
folder_xml = folder_path
filename_xml = (onlyfiles[n])
path_xml1 = (join(mypath,onlyfiles[n]))
path_xml = path_xml1.replace("/","\")
name_xml = folder_path
xmin_xml = stats[i][0]
ymin_xml = stats[i][1]
xmax_xml = stats[i][0]+stats[i][2]
ymax_xml = stats[i][1]+stats[i][3]
xml_name = xy[0]
#print((onlyfiles[n]))
#plt.imshow(img)
cv2.imshow('frame',img)
cv2.waitKey(0)
cv2.destroyAllWindows()
#!/usr/bin/python
#-*- coding: utf-8 -*-
#text.encode('UTF-8')
Please help me to understand what could possibly be wrong?
Thanks in advance!
python opencv annotations cv2
asked Jan 3 at 6:54
SummaSumma
227
add a comment |
0
I am trying to automate bounding box creation process for my train and test images using Open CV.
The error I am receiving is : multiple bounding boxes are being created around one single object.
Where the original image(before annotation) is like this:
I am giving below the code I used:
import cv2
import numpy as np
from os import listdir
from os.path import isfile, join
import numpy
import config
mypath = config.mypath
xx = mypath.split('/')
folder_path = xx[-2]
onlyfiles = [ f for f in listdir(mypath) if isfile(join(mypath,f)) ]
images = numpy.empty(len(onlyfiles), dtype=object)
for n in range(0, len(onlyfiles)):
#images[n] = cv2.imread( join(mypath,onlyfiles[n]) )
images[n] = cv2.imread( join(mypath,onlyfiles[n]),1 )
xy = onlyfiles[n].split('.')
print(xy[0])
#img = cv2.imread('345.jpg')
img = images[n]
#print(images[n])
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# binarize the image
ret, bw = cv2.threshold(gray, 128, 255,
cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)
# find connected components
connectivity = 4
nb_components, output, stats, centroids = cv2.connectedComponentsWithStats(bw, connectivity, cv2.CV_32S)
sizes = stats[1:, -1]; nb_components = nb_components - 1
min_size = 25000 #threshhold value for objects in scene
img2 = np.zeros((img.shape), np.uint8)
for i in range(0, nb_components+1):
#print(i)
# use if sizes[i] >= min_size: to identify your objects
color = np.random.randint(255,size=3)
x = (stats[i][2])
if (650>x>130):
#cv2.rectangle(img, (217,203),(349,335), (0,255,0), 2)
x1 = stats[i][0]
x2 = stats[i][1]
x3 = stats[i][0]+stats[i][2]
x4 = stats[i][1]+stats[i][3]
cv2.rectangle(img, (x1,x2),(x3,x4), (0,255,0), 2)
print((x1,x2),(x3,x4))
#print (stats[i][2])
# draw the bounding rectangele around each object
img2[output == i + 1] = color
folder_xml = folder_path
filename_xml = (onlyfiles[n])
path_xml1 = (join(mypath,onlyfiles[n]))
path_xml = path_xml1.replace("/","\")
name_xml = folder_path
xmin_xml = stats[i][0]
ymin_xml = stats[i][1]
xmax_xml = stats[i][0]+stats[i][2]
ymax_xml = stats[i][1]+stats[i][3]
xml_name = xy[0]
#print((onlyfiles[n]))
#plt.imshow(img)
cv2.imshow('frame',img)
cv2.waitKey(0)
cv2.destroyAllWindows()
#!/usr/bin/python
#-*- coding: utf-8 -*-
#text.encode('UTF-8')
Please help me to understand what could possibly be wrong?
Thanks in advance!
python opencv annotations cv2
asked Jan 3 at 6:54
SummaSumma
227
please post the original image
– Ishara Madhawa
Jan 3 at 9:43
@IsharaMadhawa:I have edited my original post and now you will get to see the original image as well.
– Summa
Jan 3 at 10:12
add a comment |
0
0
0
I am trying to automate bounding box creation process for my train and test images using Open CV.
The error I am receiving is : multiple bounding boxes are being created around one single object.
Where the original image(before annotation) is like this:
I am giving below the code I used:
import cv2
import numpy as np
from os import listdir
from os.path import isfile, join
import numpy
import config
mypath = config.mypath
xx = mypath.split('/')
folder_path = xx[-2]
onlyfiles = [ f for f in listdir(mypath) if isfile(join(mypath,f)) ]
images = numpy.empty(len(onlyfiles), dtype=object)
for n in range(0, len(onlyfiles)):
#images[n] = cv2.imread( join(mypath,onlyfiles[n]) )
images[n] = cv2.imread( join(mypath,onlyfiles[n]),1 )
xy = onlyfiles[n].split('.')
print(xy[0])
#img = cv2.imread('345.jpg')
img = images[n]
#print(images[n])
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# binarize the image
ret, bw = cv2.threshold(gray, 128, 255,
cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)
# find connected components
connectivity = 4
nb_components, output, stats, centroids = cv2.connectedComponentsWithStats(bw, connectivity, cv2.CV_32S)
sizes = stats[1:, -1]; nb_components = nb_components - 1
min_size = 25000 #threshhold value for objects in scene
img2 = np.zeros((img.shape), np.uint8)
for i in range(0, nb_components+1):
#print(i)
# use if sizes[i] >= min_size: to identify your objects
color = np.random.randint(255,size=3)
x = (stats[i][2])
if (650>x>130):
#cv2.rectangle(img, (217,203),(349,335), (0,255,0), 2)
x1 = stats[i][0]
x2 = stats[i][1]
x3 = stats[i][0]+stats[i][2]
x4 = stats[i][1]+stats[i][3]
cv2.rectangle(img, (x1,x2),(x3,x4), (0,255,0), 2)
print((x1,x2),(x3,x4))
#print (stats[i][2])
# draw the bounding rectangele around each object
img2[output == i + 1] = color
folder_xml = folder_path
filename_xml = (onlyfiles[n])
path_xml1 = (join(mypath,onlyfiles[n]))
path_xml = path_xml1.replace("/","\")
name_xml = folder_path
xmin_xml = stats[i][0]
ymin_xml = stats[i][1]
xmax_xml = stats[i][0]+stats[i][2]
ymax_xml = stats[i][1]+stats[i][3]
xml_name = xy[0]
#print((onlyfiles[n]))
#plt.imshow(img)
cv2.imshow('frame',img)
cv2.waitKey(0)
cv2.destroyAllWindows()
#!/usr/bin/python
#-*- coding: utf-8 -*-
#text.encode('UTF-8')
Please help me to understand what could possibly be wrong?
Thanks in advance!
python opencv annotations cv2
asked Jan 3 at 6:54
SummaSumma
227
I am trying to automate bounding box creation process for my train and test images using Open CV.
The error I am receiving is : multiple bounding boxes are being created around one single object.
Where the original image(before annotation) is like this:
I am giving below the code I used:
import cv2
import numpy as np
from os import listdir
from os.path import isfile, join
import numpy
import config
mypath = config.mypath
xx = mypath.split('/')
folder_path = xx[-2]
onlyfiles = [ f for f in listdir(mypath) if isfile(join(mypath,f)) ]
images = numpy.empty(len(onlyfiles), dtype=object)
for n in range(0, len(onlyfiles)):
#images[n] = cv2.imread( join(mypath,onlyfiles[n]) )
images[n] = cv2.imread( join(mypath,onlyfiles[n]),1 )
xy = onlyfiles[n].split('.')
print(xy[0])
#img = cv2.imread('345.jpg')
img = images[n]
#print(images[n])
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# binarize the image
ret, bw = cv2.threshold(gray, 128, 255,
cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)
# find connected components
connectivity = 4
nb_components, output, stats, centroids = cv2.connectedComponentsWithStats(bw, connectivity, cv2.CV_32S)
sizes = stats[1:, -1]; nb_components = nb_components - 1
min_size = 25000 #threshhold value for objects in scene
img2 = np.zeros((img.shape), np.uint8)
for i in range(0, nb_components+1):
#print(i)
# use if sizes[i] >= min_size: to identify your objects
color = np.random.randint(255,size=3)
x = (stats[i][2])
if (650>x>130):
#cv2.rectangle(img, (217,203),(349,335), (0,255,0), 2)
x1 = stats[i][0]
x2 = stats[i][1]
x3 = stats[i][0]+stats[i][2]
x4 = stats[i][1]+stats[i][3]
cv2.rectangle(img, (x1,x2),(x3,x4), (0,255,0), 2)
print((x1,x2),(x3,x4))
#print (stats[i][2])
# draw the bounding rectangele around each object
img2[output == i + 1] = color
folder_xml = folder_path
filename_xml = (onlyfiles[n])
path_xml1 = (join(mypath,onlyfiles[n]))
path_xml = path_xml1.replace("/","\")
name_xml = folder_path
xmin_xml = stats[i][0]
ymin_xml = stats[i][1]
xmax_xml = stats[i][0]+stats[i][2]
ymax_xml = stats[i][1]+stats[i][3]
xml_name = xy[0]
#print((onlyfiles[n]))
#plt.imshow(img)
cv2.imshow('frame',img)
cv2.waitKey(0)
cv2.destroyAllWindows()
#!/usr/bin/python
#-*- coding: utf-8 -*-
#text.encode('UTF-8')
Please help me to understand what could possibly be wrong?
Thanks in advance!
python opencv annotations cv2
python opencv annotations cv2
asked Jan 3 at 6:54
SummaSumma
227
asked Jan 3 at 6:54
SummaSumma
227
edited Jan 3 at 10:14
Summa
asked Jan 3 at 6:54
SummaSumma
227
asked Jan 3 at 6:54
SummaSumma
227
asked Jan 3 at 6:54
SummaSumma
227
227
please post the original image
– Ishara Madhawa
Jan 3 at 9:43
@IsharaMadhawa:I have edited my original post and now you will get to see the original image as well.
– Summa
Jan 3 at 10:12
add a comment |
please post the original image
– Ishara Madhawa
Jan 3 at 9:43
@IsharaMadhawa:I have edited my original post and now you will get to see the original image as well.
– Summa
Jan 3 at 10:12
please post the original image
– Ishara Madhawa
Jan 3 at 9:43
please post the original image
– Ishara Madhawa
Jan 3 at 9:43
@IsharaMadhawa:I have edited my original post and now you will get to see the original image as well.
– Summa
Jan 3 at 10:12
@IsharaMadhawa:I have edited my original post and now you will get to see the original image as well.
– Summa
Jan 3 at 10:12
add a comment |
1 Answer
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I got the solution myself; changing the range of 'x' (in the code shared above it is given as: (650>x>130)) resolved the issue
answered Jan 4 at 5:13
SummaSumma
227
add a comment |
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1 Answer
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1 Answer
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active
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I got the solution myself; changing the range of 'x' (in the code shared above it is given as: (650>x>130)) resolved the issue
answered Jan 4 at 5:13
SummaSumma
227
add a comment |
0
I got the solution myself; changing the range of 'x' (in the code shared above it is given as: (650>x>130)) resolved the issue
answered Jan 4 at 5:13
SummaSumma
227
add a comment |
0
0
0
I got the solution myself; changing the range of 'x' (in the code shared above it is given as: (650>x>130)) resolved the issue
answered Jan 4 at 5:13
SummaSumma
227
I got the solution myself; changing the range of 'x' (in the code shared above it is given as: (650>x>130)) resolved the issue
answered Jan 4 at 5:13
SummaSumma
227
answered Jan 4 at 5:13
SummaSumma
227
answered Jan 4 at 5:13
SummaSumma
227
answered Jan 4 at 5:13
SummaSumma
227
227
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please post the original image
– Ishara Madhawa
Jan 3 at 9:43
@IsharaMadhawa:I have edited my original post and now you will get to see the original image as well.
– Summa
Jan 3 at 10:12