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I’m working on a Python project using Opencv, I’m running on Google Colab. I want to save the markers vector from an image of a segmentation method, but whenever I print the vector, it appears summarized. I have tried to convert it to String, but it remains summarized. How do I print it out completely?
Method that finds the Markers:
def markers():
img = cv2.imread(imgNome)
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
ret, thresh = cv2.threshold(gray,0,255,cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)
# noise removal
kernel = np.ones((3,3),np.uint8)
opening = cv2.morphologyEx(thresh,cv2.MORPH_OPEN,kernel, iterations = 2)
# sure background area
sure_bg = cv2.dilate(opening,kernel,iterations=3)
# Finding sure foreground area
dist_transform = cv2.distanceTransform(opening,cv2.DIST_L2,5)
ret, sure_fg = cv2.threshold(dist_transform,0.7*dist_transform.max(),255,0)
# Finding unknown region
sure_fg = np.uint8(sure_fg)
unknown = cv2.subtract(sure_bg,sure_fg)
# Marker labelling
ret, markers = cv2.connectedComponents(sure_fg)
# Add one to all labels so that sure background is not 0, but 1
markers = markers+1
# Now, mark the region of unknown with zero
markers[unknown==255] = 0
markers = cv2.watershed(img,markers)
#img[markers == -1] = [255,0,0]
markersSTR = str(markers)
return markersSTR
The way the vector is being printed:
[[-1 -1 -1 ... -1 -1 -1]
[-1 1 1 ... 1 1 -1]
[-1 1 1 ... 1 1 -1]
...
[-1 1 1 ... 2 2 -1]
[-1 1 1 ... 2 2 -1]
[-1 -1 -1 ... -1 -1 -1]]
The IDE is summarizing the vector because it is very large, many Ides, like Pycharm, have a vector viewer and dataframes. See this help page to check how to view in Pycharm. However, I personally prefer to use the matplotlib, which has a user interface in which you can see the color channel and each pixel position with the mouse. Not possible with the
imshow
opencv.– danieltakeshi