fadkabli's profile - activity

Need help to draw circle I have applied feature detector and get following result: But i want to draw circle on roots

contour feature detector not giving desired result I have Applied contour (for feature detection) but this don't give me

need help with feature detection I have Applied contour (for feature detection) but this don't give me result. Sobel8u,

need help with feature detection I have Applied contour (for feature detection) but this don't give me result. Sobel8u,

need help with feature detection I have Applied contour (for feature detection) but this don't give me result. Sobel8u,

need help to detect special structure I need some help that how can i detect that U point and place circle on it. -tried

need help to detect special structure I need some help that how can i detect that U point and place circle on it. -tried

You can take help from This: http://www.scipy-lectures.org/packages/scikit-image/index.html

Please check this for Details. It will be very helpfull: http://www.jatit.org/volumes/Vol64No1/28Vol64No1.pdf

need help to detect special structure I need some help that how can i detect that U point and place circle on it. -tried

need help to detect special structure I need some help that how can i detect that U point and place circle on it. -tried

are u using mac_ports or brew ?

@eshirima thanx

Find distance between two eyes I have worked on harcascade face detection and eye detection. it works well now i am stuc

import cv2 import math import numpy as np from scipy.spatial import distance as dist

import cv2 import math import numpy as np from scipy.spatial import distance as dist

import cv2 import math import numpy as np from scipy.spatial import dist

import cv2 import math import numpy as np from scipy.spatial import distance as dist

import cv2 import math import numpy as np from scipy.spatial import distance as dist def mi

import cv2 import math import numpy as np from scipy.spatial import distance as dist def midpoint(ptA, ptB)

import cv2 import math import numpy as np from scipy.spatial import distance as dist def midpoint(ptA, ptB): return

i'am confused using above approach in harcascade.

def calculateDistance(ex,ey,ew,eh): dist = math.sqrt((ex - ew)2 + (ey - eh)2) return distenter code here

I have worked on harcascade face detection and eye detection. it works well now i am stuck finding distance between two eyes. please provide me some logic or piece to code to achive this.

import cv2 
import math 
import numpy as np from scipy.spatial 
import distance as dist

            def midpoint(ptA, ptB):
                return ((ptA[0] + ptB[0]) * 0.5, (ptA[1] + ptB[1]) * 0.5)

            def calculateDistance(ex,ey,ew,eh):
                 dist = math.sqrt((ex - ew)**2 + (ey - eh)**2)
                 return dist
            # print calculateDistance(x1, y1, x2, y2)

            # using harcasde  for face
            face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
            # https://github.com/Itseez/opencv/blob/master/data/haarcascades/haarcascade_eye.xml
            eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')

            # read both the images of the face and the glasses
            image = cv2.imread('example_2.jpg')![image description](/upfiles/15116549809854402.png)

            gray    =   cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

            centers=[]
            faces = face_cascade.detectMultiScale(gray,1.3,5)

            #check for the face detected
            for (x,y,w,h) in faces:

                #create two Regions of Interest on face.
                roi_gray = gray[y:y+h, x:x+w]
                roi_color = image[y:y+h, x:x+w]
                eyes = eye_cascade.detectMultiScale(roi_gray)

                # Store the cordinates of eyes in the image to the 'center' array
                for (ex,ey,ew,eh) in eyes:
                    centers.append((x+int(ex+0.5*ew), y+int(ey+0.5*eh)))
                    # Point2f eye1, eye2;
                    # double res = cv::norm(eye1-eye2);

                    #creates rectangle with 'colour'
                    cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)


            overlay_img = np.ones(image.shape,np.uint8)*255

            #Create a mask and generate it's inverse.
            gray_glasses    =   cv2.cvtColor(overlay_img,   cv2.COLOR_BGR2GRAY)
            ret,    mask    =   cv2.threshold(gray_glasses, 110,    255,    cv2.THRESH_BINARY)
            mask_inv    =   cv2.bitwise_not(mask)
            temp    =   cv2.bitwise_and(image,  image,  mask=mask)
            temp2   =   cv2.bitwise_and(overlay_img,    overlay_img,    mask=mask_inv)
            final_img   =   cv2.add(temp,   temp2)

            # imS = cv2.resize(final_img, (1366, 768))
            # print calculateDistance(ex,ey,ew,eh)
            cv2.imshow('Final  Result', final_img)
            cv2.waitKey()
            cv2.destroyAllWindows()

Find distance between two eyes import cv2 import numpy as np using harcasde for face face_cascade = cv2.CascadeClassi

Find distance between two eyes I have worked on harcascade face detection and eye detection. it works well now i am stuc

I have used euclidean distance but it is not showing me proper result. i came up from nose to eye or ear to eye.

Store the cordinates of eyes in the image to the 'center' array for (ex,ey,ew,eh) in eyes: centers.append((x+int(ex

import cv2 import numpy as np using harcasde for face face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_d

Find distance between two eyes I have worked on harcascade face detection and eye detection. it works well now i am stuc