Dr Dre's profile - activity

Hi Guys

I have an image with 6000 * 6000 pixels as shown

link of image

When I run the following code

    import cv2
    img = cv2.imread('Test.jpg')
    cv2.imshow('image',img)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

It wont display the entire image in the output but a part of it .

How do i make the imshow function display the entire image in its output window ?

I am using open cv2 and python 2.7

Thank U....

Hi guys

I am working on image processing project which involves line following and also traffic sign detection.

If traffic sign displays stop, line follower robot should stop . other wise it follows the line

i want to perform the above two operations of line follower and traffic signal detection concurrently.

What should be my approach in doing so

i am using raspberry pi b+ and python.. how can i optimize image processing operation

what if i want to delete it manually . What syntax shalll i use

output image has no difference. but there is little bit change in syntax

I have a simple code

import cv2
import numpy as np

Image = cv2.imread('blue.jpg')

Threshold = np.zeros(Image.shape, np.uint8) 
cv2.threshold(Image, 121, 255,   cv2.THRESH_BINARY, Threshold) 
cv2.imshow("WindowName", Threshold )

cv2.waitKey(0) 
cv2.destroyAllWindows()

I want to delete matrix

"Image" from memeory i.e clear memory to save space in ram

How can i acheive this

I Filtered out only sky blue color, Pink Color, Orange and Green Color using masking function separetely and added the images to get an image containing only the 4 colors

then by converting bgr to gray and thresholding i could draw the contours

Thank U Every one for ur help and support

plz update ur answer so that it might help anyone having similar problem

Thank u that solves the problem

@FooBar @berak Important point to be noted

the center_px value is showing as 255 255 255 rather than 0,127,255

Here is the error .. But i dont know why it is doing so .

@berak Sir check out the updated question

@FooBar , the code has been updated .. Check it out

Hi guys

This is my image

I want to read the centre pixel value of the following contour an output the color as Orange. But i tend to get an error as

if (center_px == ORANGE):
    ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

The input image is

import numpy as np
import cv2
img = cv2.imread('New Bitmap Image.bmp')
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
ret,thresh = cv2.threshold(gray,100,255,cv2.THRESH_BINARY)
contours, hierarchy = cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
cv2.drawContours(img,contours,-1,(0,0,255),19)

for i in range(0,len(contours)):
    M = cv2.moments(contours[i])
    cx = int(M['m10']/M['m00'])
    cy = int(M['m01']/M['m00'])
    print "Centroid = ", cx, ", ", cy

    center_px =  img[cx,cy]
    print center_px
    ORANGE = (0,127,255)

    if (center_px == ORANGE):
            print "Orange"

I am using pyhton and cv2

Update

As suggested by @berak I have modified the code as

import numpy as np
import cv2
img = cv2.imread('New Bitmap Image.bmp')
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
ret,thresh = cv2.threshold(gray,190,255,cv2.THRESH_BINARY_INV)
cv2.imshow("windows1",thresh)
contours, hierarchy = cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
cv2.drawContours(img,contours,-1,(0,0,255),2)
cv2.imshow("windows",img)
print len(contours)
for i in range(0,len(contours)):
    M = cv2.moments(contours[i])
    cx = int(M['m10']/M['m00'])
    cy = int(M['m01']/M['m00'])
    print "Centroid = ", cx, ", ", cy
    center_px = np.array([4,3,2],dtype=np.uint8)

    ORANGE = (0,127,255)


    center_px =  img[cx,cy]
    print center_px

    if ((center_px == ORANGE).all()):
        print "Orange"
    else:
        print "Not Orange"




cv2.waitKey(0)
cv2.destroyAllWindows()

The output is

1
Centroid =  146 ,  94
[255 255 255]
Not Orange

It shows not orange even though the image is orange color .What is it that i am doing wrong ????

Thank U Guys

What procedure should i follow next sir @StevenPuttemans

Hi Guys I have the following image

I want to know if there is any method which basically removes black and blue box from the image and the final image contains only orange , green pink and light blue box i.e. I want my output image to be displayed as

I am using python 2.7 with cv2

Update

Following the suggestion give by @StevenPuttemans

I converted my given image to HSV using following code

img = cv2.imread('Image.jpg')
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
cv2.imshow('hsv',hsv)

I got output as

What procedure should i follow next to get my output as shown in 2nd image.