Object recognition with OpenCV in Python in utility meter images

I wrote a code which finds utility meter measurement result part and crops it. The problem is it does the resize of image. How can I do it without resizing and at the end I need parameters of found part of images, such as width, heith, center x and y.

import numpy as np

import cv2

import sys

from PIL import Image

import imutils

import os.path 



if len(sys.argv) != 3:

    print ("%s input_file output_file" , sys.argv[0])

    sys.exit()

else:

    input_file = sys.argv[1]

    output_file = sys.argv[2]



if not os.path.isfile(input_file):

    print ("No such file '%s'" , input_file)

    sys.exit()



img = cv2.imread(input_file)

img = imutils.resize(img, height=500)



## Change to LAB space

lab = cv2.cvtColor(img, cv2.COLOR_BGR2LAB)

l,a,b = cv2.split(lab)

imglab = np.hstack((l,a,b))



## normalized the a channel to all dynamic range

na = cv2.normalize(a, None, alpha=0, beta=255, norm_type=cv2.NORM_MINMAX, dtype=cv2.CV_8UC1) 



## Threshold to binary

retval, threshed = cv2.threshold(na, thresh = 180,  maxval=255, type=cv2.THRESH_BINARY)    

## Do morphology

kernel = cv2.getStructuringElement( cv2.MORPH_ELLIPSE , (3,3))

opened = cv2.morphologyEx(threshed, cv2.MORPH_OPEN,kernel)

res = np.hstack((threshed, opened)) 

## Find contours

_, contours, hierarchy = cv2.findContours(opened, mode=cv2.RETR_LIST, method=cv2.CHAIN_APPROX_SIMPLE)    

## Draw Contours

res = img.copy()

cv2.drawContours(res, contours, -1, (255,0,0), 10)

## Filter Contours

for idx, contour in enumerate(contours):

    bbox = cv2.boundingRect(contour)

    area = bbox[-1]*bbox[-2]

    if area < 2150:

        continue

    (x, y, w, h) = cv2.boundingRect(contour)

    print(x, y, w, h)

    cv2.rectangle(res, (0, y), (x + w, y + h), (0, 255, 0), 4)

    crop_img = img[y:y+h*2, 0:x+w]

    (w, h, c) = img.shape

    print(w, h)

cv2.imwrite(output_file, crop_img)

Input image is enter image description here

asked Nov 22 '18 at 18:29

Perizat Abduraimova

I don’t understand your question - why is the resize a problem? You wrote the code with the resize, didn’t you? Why did you include the resize?

– barny
Nov 22 '18 at 20:23

Actually this code was made with my friend long time ago. Now I have to do the same without resizing, when I just comment out resizing part It gives another result. I have to do it without resizing, because I have analize the results (e.g intersection over union)

– Perizat Abduraimova
Nov 24 '18 at 13:21

So show the results this code makes you expect - because it is impossible to help someone who says "it doesn't work" without any specific - and edit your code that you are using now into the question and show the results it gives, for the exact same source image, and make clear why you think your code is giving the wrong result (just being "different" is not necessarily wrong, perhaps the original results weren't so correct). Also you might want to ask your friend why the image is resized.

– barny
Nov 24 '18 at 15:09

I think you mean ANALYZE

– barny
Nov 25 '18 at 21:52

add a comment |

import numpy as np

import cv2

import sys

from PIL import Image

import imutils

import os.path 



if len(sys.argv) != 3:

    print ("%s input_file output_file" , sys.argv[0])

    sys.exit()

else:

    input_file = sys.argv[1]

    output_file = sys.argv[2]



if not os.path.isfile(input_file):

    print ("No such file '%s'" , input_file)

    sys.exit()



img = cv2.imread(input_file)

img = imutils.resize(img, height=500)



## Change to LAB space

lab = cv2.cvtColor(img, cv2.COLOR_BGR2LAB)

l,a,b = cv2.split(lab)

imglab = np.hstack((l,a,b))



## normalized the a channel to all dynamic range

na = cv2.normalize(a, None, alpha=0, beta=255, norm_type=cv2.NORM_MINMAX, dtype=cv2.CV_8UC1) 



## Threshold to binary

retval, threshed = cv2.threshold(na, thresh = 180,  maxval=255, type=cv2.THRESH_BINARY)    

## Do morphology

kernel = cv2.getStructuringElement( cv2.MORPH_ELLIPSE , (3,3))

opened = cv2.morphologyEx(threshed, cv2.MORPH_OPEN,kernel)

res = np.hstack((threshed, opened)) 

## Find contours

_, contours, hierarchy = cv2.findContours(opened, mode=cv2.RETR_LIST, method=cv2.CHAIN_APPROX_SIMPLE)    

## Draw Contours

res = img.copy()

cv2.drawContours(res, contours, -1, (255,0,0), 10)

## Filter Contours

for idx, contour in enumerate(contours):

    bbox = cv2.boundingRect(contour)

    area = bbox[-1]*bbox[-2]

    if area < 2150:

        continue

    (x, y, w, h) = cv2.boundingRect(contour)

    print(x, y, w, h)

    cv2.rectangle(res, (0, y), (x + w, y + h), (0, 255, 0), 4)

    crop_img = img[y:y+h*2, 0:x+w]

    (w, h, c) = img.shape

    print(w, h)

cv2.imwrite(output_file, crop_img)

Input image is enter image description here

asked Nov 22 '18 at 18:29

Perizat Abduraimova

I don’t understand your question - why is the resize a problem? You wrote the code with the resize, didn’t you? Why did you include the resize?

– barny
Nov 22 '18 at 20:23

Actually this code was made with my friend long time ago. Now I have to do the same without resizing, when I just comment out resizing part It gives another result. I have to do it without resizing, because I have analize the results (e.g intersection over union)

– Perizat Abduraimova
Nov 24 '18 at 13:21

So show the results this code makes you expect - because it is impossible to help someone who says "it doesn't work" without any specific - and edit your code that you are using now into the question and show the results it gives, for the exact same source image, and make clear why you think your code is giving the wrong result (just being "different" is not necessarily wrong, perhaps the original results weren't so correct). Also you might want to ask your friend why the image is resized.

– barny
Nov 24 '18 at 15:09

I think you mean ANALYZE

– barny
Nov 25 '18 at 21:52

add a comment |

import numpy as np

import cv2

import sys

from PIL import Image

import imutils

import os.path 



if len(sys.argv) != 3:

    print ("%s input_file output_file" , sys.argv[0])

    sys.exit()

else:

    input_file = sys.argv[1]

    output_file = sys.argv[2]



if not os.path.isfile(input_file):

    print ("No such file '%s'" , input_file)

    sys.exit()



img = cv2.imread(input_file)

img = imutils.resize(img, height=500)



## Change to LAB space

lab = cv2.cvtColor(img, cv2.COLOR_BGR2LAB)

l,a,b = cv2.split(lab)

imglab = np.hstack((l,a,b))



## normalized the a channel to all dynamic range

na = cv2.normalize(a, None, alpha=0, beta=255, norm_type=cv2.NORM_MINMAX, dtype=cv2.CV_8UC1) 



## Threshold to binary

retval, threshed = cv2.threshold(na, thresh = 180,  maxval=255, type=cv2.THRESH_BINARY)    

## Do morphology

kernel = cv2.getStructuringElement( cv2.MORPH_ELLIPSE , (3,3))

opened = cv2.morphologyEx(threshed, cv2.MORPH_OPEN,kernel)

res = np.hstack((threshed, opened)) 

## Find contours

_, contours, hierarchy = cv2.findContours(opened, mode=cv2.RETR_LIST, method=cv2.CHAIN_APPROX_SIMPLE)    

## Draw Contours

res = img.copy()

cv2.drawContours(res, contours, -1, (255,0,0), 10)

## Filter Contours

for idx, contour in enumerate(contours):

    bbox = cv2.boundingRect(contour)

    area = bbox[-1]*bbox[-2]

    if area < 2150:

        continue

    (x, y, w, h) = cv2.boundingRect(contour)

    print(x, y, w, h)

    cv2.rectangle(res, (0, y), (x + w, y + h), (0, 255, 0), 4)

    crop_img = img[y:y+h*2, 0:x+w]

    (w, h, c) = img.shape

    print(w, h)

cv2.imwrite(output_file, crop_img)

Input image is enter image description here

asked Nov 22 '18 at 18:29

Perizat Abduraimova

import numpy as np

import cv2

import sys

from PIL import Image

import imutils

import os.path 



if len(sys.argv) != 3:

    print ("%s input_file output_file" , sys.argv[0])

    sys.exit()

else:

    input_file = sys.argv[1]

    output_file = sys.argv[2]



if not os.path.isfile(input_file):

    print ("No such file '%s'" , input_file)

    sys.exit()



img = cv2.imread(input_file)

img = imutils.resize(img, height=500)



## Change to LAB space

lab = cv2.cvtColor(img, cv2.COLOR_BGR2LAB)

l,a,b = cv2.split(lab)

imglab = np.hstack((l,a,b))



## normalized the a channel to all dynamic range

na = cv2.normalize(a, None, alpha=0, beta=255, norm_type=cv2.NORM_MINMAX, dtype=cv2.CV_8UC1) 



## Threshold to binary

retval, threshed = cv2.threshold(na, thresh = 180,  maxval=255, type=cv2.THRESH_BINARY)    

## Do morphology

kernel = cv2.getStructuringElement( cv2.MORPH_ELLIPSE , (3,3))

opened = cv2.morphologyEx(threshed, cv2.MORPH_OPEN,kernel)

res = np.hstack((threshed, opened)) 

## Find contours

_, contours, hierarchy = cv2.findContours(opened, mode=cv2.RETR_LIST, method=cv2.CHAIN_APPROX_SIMPLE)    

## Draw Contours

res = img.copy()

cv2.drawContours(res, contours, -1, (255,0,0), 10)

## Filter Contours

for idx, contour in enumerate(contours):

    bbox = cv2.boundingRect(contour)

    area = bbox[-1]*bbox[-2]

    if area < 2150:

        continue

    (x, y, w, h) = cv2.boundingRect(contour)

    print(x, y, w, h)

    cv2.rectangle(res, (0, y), (x + w, y + h), (0, 255, 0), 4)

    crop_img = img[y:y+h*2, 0:x+w]

    (w, h, c) = img.shape

    print(w, h)

cv2.imwrite(output_file, crop_img)

Input image is enter image description here

python opencv object-recognition

asked Nov 22 '18 at 18:29

Perizat Abduraimova

asked Nov 22 '18 at 18:29

Perizat Abduraimova

asked Nov 22 '18 at 18:29

Perizat Abduraimova

asked Nov 22 '18 at 18:29

Perizat Abduraimova

asked Nov 22 '18 at 18:29

Perizat Abduraimova

I don’t understand your question - why is the resize a problem? You wrote the code with the resize, didn’t you? Why did you include the resize?

– barny
Nov 22 '18 at 20:23

Actually this code was made with my friend long time ago. Now I have to do the same without resizing, when I just comment out resizing part It gives another result. I have to do it without resizing, because I have analize the results (e.g intersection over union)

– Perizat Abduraimova
Nov 24 '18 at 13:21

So show the results this code makes you expect - because it is impossible to help someone who says "it doesn't work" without any specific - and edit your code that you are using now into the question and show the results it gives, for the exact same source image, and make clear why you think your code is giving the wrong result (just being "different" is not necessarily wrong, perhaps the original results weren't so correct). Also you might want to ask your friend why the image is resized.

– barny
Nov 24 '18 at 15:09

I think you mean ANALYZE

– barny
Nov 25 '18 at 21:52

add a comment |

I don’t understand your question - why is the resize a problem? You wrote the code with the resize, didn’t you? Why did you include the resize?

– barny
Nov 22 '18 at 20:23

Actually this code was made with my friend long time ago. Now I have to do the same without resizing, when I just comment out resizing part It gives another result. I have to do it without resizing, because I have analize the results (e.g intersection over union)

– Perizat Abduraimova
Nov 24 '18 at 13:21

So show the results this code makes you expect - because it is impossible to help someone who says "it doesn't work" without any specific - and edit your code that you are using now into the question and show the results it gives, for the exact same source image, and make clear why you think your code is giving the wrong result (just being "different" is not necessarily wrong, perhaps the original results weren't so correct). Also you might want to ask your friend why the image is resized.

– barny
Nov 24 '18 at 15:09

I think you mean ANALYZE

– barny
Nov 25 '18 at 21:52

I don’t understand your question - why is the resize a problem? You wrote the code with the resize, didn’t you? Why did you include the resize?

– barny
Nov 22 '18 at 20:23

Actually this code was made with my friend long time ago. Now I have to do the same without resizing, when I just comment out resizing part It gives another result. I have to do it without resizing, because I have analize the results (e.g intersection over union)

– Perizat Abduraimova
Nov 24 '18 at 13:21

So show the results this code makes you expect - because it is impossible to help someone who says "it doesn't work" without any specific - and edit your code that you are using now into the question and show the results it gives, for the exact same source image, and make clear why you think your code is giving the wrong result (just being "different" is not necessarily wrong, perhaps the original results weren't so correct). Also you might want to ask your friend why the image is resized.

– barny
Nov 24 '18 at 15:09

I think you mean ANALYZE

– barny
Nov 25 '18 at 21:52

add a comment |

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