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asked 2020-01-27 09:56:17 -0600

titli gravatar image

Can't load picture after finger detection open cv python.

# -- coding: utf-8 -- """ Created on Fri Jan 24 20:27:59 2020

@author: Shrouti """

import numpy as np import cv2 import math import subprocess import time

def calculateFingers(res,drawing): 

hull = cv2.convexHull(res, returnPoints=False)
if len(hull) > 3:
    defects = cv2.convexityDefects(res, hull)
    if type(defects) != type(None):  # avoid crashing.   (BUG not found)

        cnt = 0
        for i in range(defects.shape[0]):  # calculate the angle
            s, e, f, d = defects[i][0]
            start = tuple(res[s][0])
            end = tuple(res[e][0])
            far = tuple(res[f][0])

            a = math.sqrt((end[0] - start[0]) ** 2 + (end[1] - start[1]) ** 2)
            b = math.sqrt((far[0] - start[0]) ** 2 + (far[1] - start[1]) ** 2)
            c = math.sqrt((end[0] - far[0]) ** 2 + (end[1] - far[1]) ** 2)
            angle = math.acos((b ** 2 + c ** 2 - a ** 2) / (2 * b * c))  # cosine theorem
            if angle <= math.pi / 2:  # angle less than 90 degree, treat as fingers
                cnt += 1
                cv2.circle(drawing, far, 8, [211, 84, 0], -1)
        return True, cnt
return False, 0

img = cv2.imread('C:\Users\Shrouti\Pictures\hand_gesture3.jpg') gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# blur the image

blur = cv2.blur(gray, (3, 3))

blur = cv2.GaussianBlur(img, (blur, blur), 0)

ret, thresh = cv2.threshold(blur, 60, 255, cv2.THRESH_BINARY) cnts, hierarchy = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

if len(cnts) > 0 : c = max(cnts, key=cv2.contourArea)

    hull = cv2.convexHull(c)
    drawing = np.zeros([384,320,3], np.uint8)
    cv2.drawContours(drawing, [hull], 0, (0, 0, 255), 3)  
    cv2.drawContours(drawing, [c], 0, (0, 0, 255), 3) 
    cv2.imshow('image', drawing)   
    isFinishCal,cnt = calculateFingers(c,drawing)

    # if((cnt-prev) != 0) :
    if(cnt == 4) :
            subprocess.call(['echo', 'Gesture 5 detected'], shell=True)
            prev = cnt

    # if((cnt-prev) != 0) :
    if(cnt == 3) :
            subprocess.call(['echo', 'Gesture 4 detected'], shell=False)
            prev = cnt

    # if((cnt-prev) != 0) :
    if(cnt == 2) :
            subprocess.call(['echo', 'Gesture 3 detected'], shell=True)
            prev = cnt

    # if((cnt-prev) != 0) :
    if(cnt == 1) :
            subprocess.call(['echo', 'Gesture 2 detected'], shell=True)
            prev = cnt

    #cv2.putText(img,'cnt',(10,250), cv2.FONT_HERSHEY_SIMPLEX, 4,(255,255,255),2,cv2.LINE_AA)
    print cnt+1

In the above code fingure count is being shown, but no image is being loaded. Please help. I am not getting any output of "cv2.drawcontours()" function also.

image description image description

click to hide/show revision 2
retagged

updated 2020-01-27 10:26:00 -0600

berak gravatar image

Can't load picture after finger detection open cv python.

# -- coding: utf-8 -- """ Created on Fri Jan 24 20:27:59 2020

@author: Shrouti """

import numpy as np import cv2 import math import subprocess import time

def calculateFingers(res,drawing): 

hull = cv2.convexHull(res, returnPoints=False)
if len(hull) > 3:
    defects = cv2.convexityDefects(res, hull)
    if type(defects) != type(None):  # avoid crashing.   (BUG not found)

        cnt = 0
        for i in range(defects.shape[0]):  # calculate the angle
            s, e, f, d = defects[i][0]
            start = tuple(res[s][0])
            end = tuple(res[e][0])
            far = tuple(res[f][0])

            a = math.sqrt((end[0] - start[0]) ** 2 + (end[1] - start[1]) ** 2)
            b = math.sqrt((far[0] - start[0]) ** 2 + (far[1] - start[1]) ** 2)
            c = math.sqrt((end[0] - far[0]) ** 2 + (end[1] - far[1]) ** 2)
            angle = math.acos((b ** 2 + c ** 2 - a ** 2) / (2 * b * c))  # cosine theorem
            if angle <= math.pi / 2:  # angle less than 90 degree, treat as fingers
                cnt += 1
                cv2.circle(drawing, far, 8, [211, 84, 0], -1)
        return True, cnt
return False, 0

img = cv2.imread('C:\Users\Shrouti\Pictures\hand_gesture3.jpg') gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# blur the image

blur = cv2.blur(gray, (3, 3))

blur = cv2.GaussianBlur(img, (blur, blur), 0)

ret, thresh = cv2.threshold(blur, 60, 255, cv2.THRESH_BINARY) cnts, hierarchy = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

if len(cnts) > 0 : c = max(cnts, key=cv2.contourArea)

    hull = cv2.convexHull(c)
    drawing = np.zeros([384,320,3], np.uint8)
    cv2.drawContours(drawing, [hull], 0, (0, 0, 255), 3)  
    cv2.drawContours(drawing, [c], 0, (0, 0, 255), 3) 
    cv2.imshow('image', drawing)   
    isFinishCal,cnt = calculateFingers(c,drawing)

    # if((cnt-prev) != 0) :
    if(cnt == 4) :
            subprocess.call(['echo', 'Gesture 5 detected'], shell=True)
            prev = cnt

    # if((cnt-prev) != 0) :
    if(cnt == 3) :
            subprocess.call(['echo', 'Gesture 4 detected'], shell=False)
            prev = cnt

    # if((cnt-prev) != 0) :
    if(cnt == 2) :
            subprocess.call(['echo', 'Gesture 3 detected'], shell=True)
            prev = cnt

    # if((cnt-prev) != 0) :
    if(cnt == 1) :
            subprocess.call(['echo', 'Gesture 2 detected'], shell=True)
            prev = cnt

    #cv2.putText(img,'cnt',(10,250), cv2.FONT_HERSHEY_SIMPLEX, 4,(255,255,255),2,cv2.LINE_AA)
    print cnt+1

In the above code fingure count is being shown, but no image is being loaded. Please help. I am not getting any output of "cv2.drawcontours()" function also.

image description image description

click to hide/show revision 3
None

updated 2020-01-27 10:27:05 -0600

berak gravatar image

Can't load picture after finger detection open cv python.

.

 # -- -*- coding: utf-8 --
-*-
"""
Created on Fri Jan 24 20:27:59 2020
 
2020

@author: Shrouti
"""
 
"""

import numpy as np 
import cv2
import math
import subprocess 
import time 
 
 def calculateFingers(res,drawing): 
 
 hull = cv2.convexHull(res, returnPoints=False)
 if len(hull) > 3:
     defects = cv2.convexityDefects(res, hull)
     if type(defects) != type(None):  # avoid crashing.   (BUG not found)

         cnt = 0
         for i in range(defects.shape[0]):  # calculate the angle
             s, e, f, d = defects[i][0]
             start = tuple(res[s][0])
             end = tuple(res[e][0])
             far = tuple(res[f][0])

             a = math.sqrt((end[0] - start[0]) ** 2 + (end[1] - start[1]) ** 2)
             b = math.sqrt((far[0] - start[0]) ** 2 + (far[1] - start[1]) ** 2)
             c = math.sqrt((end[0] - far[0]) ** 2 + (end[1] - far[1]) ** 2)
             angle = math.acos((b ** 2 + c ** 2 - a ** 2) / (2 * b * c))  # cosine theorem
             if angle <= math.pi / 2:  # angle less than 90 degree, treat as fingers
                 cnt += 1
                 cv2.circle(drawing, far, 8, [211, 84, 0], -1)
         return True, cnt
 return False, 0

 
 img = cv2.imread('C:\Users\Shrouti\Pictures\hand_gesture3.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
 
cv2.COLOR_BGR2GRAY)

    # blur the image

 
blur = cv2.blur(gray, (3, 3))
 
blur 3))
#blur = cv2.GaussianBlur(img, (blur, blur), 0)
 
0)
ret, thresh = cv2.threshold(blur, 60, 255, cv2.THRESH_BINARY)
cnts, hierarchy = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
 
cv2.CHAIN_APPROX_SIMPLE)
if len(cnts) > 0 :
c = max(cnts, key=cv2.contourArea)
 
key=cv2.contourArea)

        hull = cv2.convexHull(c)
     drawing = np.zeros([384,320,3], np.uint8)
     cv2.drawContours(drawing, [hull], 0, (0, 0, 255), 3)  
     cv2.drawContours(drawing, [c], 0, (0, 0, 255), 3) 
     cv2.imshow('image', drawing)   
     isFinishCal,cnt = calculateFingers(c,drawing)

     # if((cnt-prev) != 0) :
     if(cnt == 4) :
             subprocess.call(['echo', 'Gesture 5 detected'], shell=True)
             prev = cnt

     # if((cnt-prev) != 0) :
     if(cnt == 3) :
             subprocess.call(['echo', 'Gesture 4 detected'], shell=False)
             prev = cnt

     # if((cnt-prev) != 0) :
     if(cnt == 2) :
             subprocess.call(['echo', 'Gesture 3 detected'], shell=True)
             prev = cnt

     # if((cnt-prev) != 0) :
     if(cnt == 1) :
             subprocess.call(['echo', 'Gesture 2 detected'], shell=True)
             prev = cnt

     #cv2.putText(img,'cnt',(10,250), cv2.FONT_HERSHEY_SIMPLEX, 4,(255,255,255),2,cv2.LINE_AA)
     print cnt+1

 
In the above code fingure count is being shown, but no image is being loaded. Please help. I am not getting any output of "cv2.drawcontours()" function also.
 
image description image description
click to hide/show revision 4
None

updated 2020-01-28 21:34:49 -0600

supra56 gravatar image

Can't load picture after finger detection open cv python.

.

 # -*- coding: utf-8 -*-
"""
Created on Fri Jan 24 20:27:59 2020

@author: Shrouti
"""

import numpy as np 
import cv2
import math
import subprocess 
import time 

def calculateFingers(res,drawing): 

    hull = cv2.convexHull(res, returnPoints=False)
    if len(hull) > 3:
        defects = cv2.convexityDefects(res, hull)
        if type(defects) != type(None):  # avoid crashing.   (BUG not found)

            cnt = 0
            for i in range(defects.shape[0]):  # calculate the angle
                s, e, f, d = defects[i][0]
                start = tuple(res[s][0])
                end = tuple(res[e][0])
                far = tuple(res[f][0])

                a = math.sqrt((end[0] - start[0]) ** 2 + (end[1] - start[1]) ** 2)
                b = math.sqrt((far[0] - start[0]) ** 2 + (far[1] - start[1]) ** 2)
                c = math.sqrt((end[0] - far[0]) ** 2 + (end[1] - far[1]) ** 2)
                angle = math.acos((b ** 2 + c ** 2 - a ** 2) / (2 * b * c))  # cosine theorem
                if angle <= math.pi / 2:  # angle less than 90 degree, treat as fingers
                    cnt += 1
                    cv2.circle(drawing, far, 8, [211, 84, 0], -1)
            return True, cnt
    return False, 0


img = cv2.imread('C:\Users\Shrouti\Pictures\hand_gesture3.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

    # blur the image
blur = cv2.blur(gray, (3, 3))

#blur = cv2.GaussianBlur(img, (blur, blur), 0)
ret, thresh = cv2.threshold(blur, 60, 255, cv2.THRESH_BINARY)
cnts, hierarchy = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)


if len(cnts) > 0 :
        c = max(cnts, key=cv2.contourArea)

        hull = cv2.convexHull(c)
        drawing = np.zeros([384,320,3], np.uint8)
        cv2.drawContours(drawing, [hull], 0, (0, 0, 255), 3)  
        cv2.drawContours(drawing, [c], 0, (0, 0, 255), 3) 
        cv2.imshow('image', drawing)   
        isFinishCal,cnt = calculateFingers(c,drawing)

        # if((cnt-prev) != 0) :
        if(cnt == 4) :
                subprocess.call(['echo', 'Gesture 5 detected'], shell=True)
                prev = cnt

        # if((cnt-prev) != 0) :
        if(cnt == 3) :
                subprocess.call(['echo', 'Gesture 4 detected'], shell=False)
                prev = cnt

        # if((cnt-prev) != 0) :
        if(cnt == 2) :
                subprocess.call(['echo', 'Gesture 3 detected'], shell=True)
                prev = cnt

        # if((cnt-prev) != 0) :
        if(cnt == 1) :
                subprocess.call(['echo', 'Gesture 2 detected'], shell=True)
                prev = cnt

        #cv2.putText(img,'cnt',(10,250), cv2.FONT_HERSHEY_SIMPLEX, 4,(255,255,255),2,cv2.LINE_AA)
        print cnt+1

In the above code fingure count is being shown, but no image is being loaded. Please help. I am not getting any output of "cv2.drawcontours()" function also.

image description image description

click to hide/show revision 5
retagged

updated 2020-11-02 12:36:26 -0600

sturkmen gravatar image

Can't load picture after finger detection open cv python.

.

 # -*- coding: utf-8 -*-
"""
Created on Fri Jan 24 20:27:59 2020

@author: Shrouti
"""

import numpy as np 
import cv2
import math
import subprocess 
import time 

def calculateFingers(res,drawing): 

    hull = cv2.convexHull(res, returnPoints=False)
    if len(hull) > 3:
        defects = cv2.convexityDefects(res, hull)
        if type(defects) != type(None):  # avoid crashing.   (BUG not found)

            cnt = 0
            for i in range(defects.shape[0]):  # calculate the angle
                s, e, f, d = defects[i][0]
                start = tuple(res[s][0])
                end = tuple(res[e][0])
                far = tuple(res[f][0])

                a = math.sqrt((end[0] - start[0]) ** 2 + (end[1] - start[1]) ** 2)
                b = math.sqrt((far[0] - start[0]) ** 2 + (far[1] - start[1]) ** 2)
                c = math.sqrt((end[0] - far[0]) ** 2 + (end[1] - far[1]) ** 2)
                angle = math.acos((b ** 2 + c ** 2 - a ** 2) / (2 * b * c))  # cosine theorem
                if angle <= math.pi / 2:  # angle less than 90 degree, treat as fingers
                    cnt += 1
                    cv2.circle(drawing, far, 8, [211, 84, 0], -1)
            return True, cnt
    return False, 0


img = cv2.imread('C:\Users\Shrouti\Pictures\hand_gesture3.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

    # blur the image
blur = cv2.blur(gray, (3, 3))

#blur = cv2.GaussianBlur(img, (blur, blur), 0)
ret, thresh = cv2.threshold(blur, 60, 255, cv2.THRESH_BINARY)
cnts, hierarchy = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)


if len(cnts) > 0 :
        c = max(cnts, key=cv2.contourArea)

        hull = cv2.convexHull(c)
        drawing = np.zeros([384,320,3], np.uint8)
        cv2.drawContours(drawing, [hull], 0, (0, 0, 255), 3)  
        cv2.drawContours(drawing, [c], 0, (0, 0, 255), 3) 
        cv2.imshow('image', drawing)   
        isFinishCal,cnt = calculateFingers(c,drawing)

        # if((cnt-prev) != 0) :
        if(cnt == 4) :
                subprocess.call(['echo', 'Gesture 5 detected'], shell=True)
                prev = cnt

        # if((cnt-prev) != 0) :
        if(cnt == 3) :
                subprocess.call(['echo', 'Gesture 4 detected'], shell=False)
                prev = cnt

        # if((cnt-prev) != 0) :
        if(cnt == 2) :
                subprocess.call(['echo', 'Gesture 3 detected'], shell=True)
                prev = cnt

        # if((cnt-prev) != 0) :
        if(cnt == 1) :
                subprocess.call(['echo', 'Gesture 2 detected'], shell=True)
                prev = cnt

        #cv2.putText(img,'cnt',(10,250), cv2.FONT_HERSHEY_SIMPLEX, 4,(255,255,255),2,cv2.LINE_AA)
        print cnt+1

In the above code fingure count is being shown, but no image is being loaded. Please help. I am not getting any output of "cv2.drawcontours()" function also.

image description image description

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