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2015-09-30 10:26:05 -0600
| commented question | How to read IP Cam in cv2.VideoSource Thanks for your suggestion i have able to use the following script to fix this issue import cv2
import urllib
import numpy as np
stream=urllib.urlopen('http://192.168.0.153:5000/video_feed')
bytes=''
while True:
bytes+=stream.read(1024)
a = bytes.find('\xff\xd8')
b = bytes.find('\xff\xd9')
if a!=-1 and b!=-1:
jpg = bytes[a:b+2]
bytes= bytes[b+2:]
i = cv2.imdecode(np.fromstring(jpg, dtype=np.uint8),cv2.CV_LOAD_IMAGE_COLOR)
cv2.imshow('i',i)
if cv2.waitKey(1) ==27:
exit(0)
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2015-09-30 09:12:05 -0600
| commented question | How to read IP Cam in cv2.VideoSource Hi Berak, let me know if you have any suggestion on this ... thank you for your time... |
2015-09-29 14:22:28 -0600
| commented question | How to read IP Cam in cv2.VideoSource Thanks for your berak i am going to take break here and resume tomorrow let me know if you have any thoughts on this to make it happen ... thank you for your time. |
2015-09-29 12:59:13 -0600
| commented question | How to read IP Cam in cv2.VideoSource FYI
I have following code which show me live streaming very well... import cv2
import urllib
import numpy as np
stream=urllib.urlopen('http://192.168.0.153:5000/video_feed')
bytes=''
while True:
bytes+=stream.read(1024)
a = bytes.find('\xff\xd8')
b = bytes.find('\xff\xd9')
if a!=-1 and b!=-1:
jpg = bytes[a:b+2]
bytes= bytes[b+2:]
i = cv2.imdecode(np.fromstring(jpg, dtype=np.uint8),cv2.CV_LOAD_IMAGE_COLOR)
cv2.imshow('i',i)
if cv2.waitKey(1) ==27:
exit(0)
|
2015-09-29 12:58:24 -0600
| commented question | How to read IP Cam in cv2.VideoSource Hi Berak,
Thanks for your input i guess your suggestion is right i put check = self.videosource.isOpened() before read and value for check is false...not sure i can access stream in browser with multiple session open in it |
2015-09-29 12:40:35 -0600
| commented question | How to read IP Cam in cv2.VideoSource Yes i can change the setting in my Pi camera to give me only gray images but ... idea here user can see streaming color way is more appropriate rather than the gray ... i also wonder before frame change to gray while debug videosource.read() does show me none for frame so i think something not able to read |
2015-09-29 12:22:36 -0600
| commented question | How to read IP Cam in cv2.VideoSource Hi Berak,
Thank you for your time i have added your suggestion into code but it gives exception at frame BG2GRAY line and it does not have none on frame or ret class VideoCap:
def __init__(self):
self.videosource = cv2.VideoCapture("http://192.168.0.153:5000/video_feed?dummy=mjpg")
self.count = 0
self.argobj = Parse()
#Capture frame by Frame
ret, frame =self.videosource.read()
#set screen color to gray so harr cascade can detect edges and faces
screencolor = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
cv2.error was unhandled by user code
Message: ........\opencv\modules\imgproc\src\color.cpp:3739: error: (-215) scn == 3 || scn == 4 in function cv |
2015-09-29 10:13:36 -0600
| asked a question | How to read IP Cam in cv2.VideoSource HI Team, I have standalone program which does face detection and stored faces in dir. Now this program does works well with webcam in it when i try to give me IP Cam URL to read response which coming as mjpeg programs does not do anything after this line self.videosource =cv2.VideoCapture(np.asarray(bytearray(response.read()), dtype=np.uint8))
So I am not sure what is wrong with code and why stops after this line.
import base64
import time
import urllib2
import cv2
import numpy as np
import argparse
import os
from cStringIO import StringIO
DEFAULT_OP_PATH = 'FaceCaps\\'
DEFAULT_CASCADE_IP_PATH = 'haarcascade-frontalface-alt.xml'
# This is class which gets URL from IP camera and it reads url response put it into byte array of numpy
class VideoCap:
def __init__(self):
response = urllib2.urlopen("http://192.168.0.153:5000/video_feed")
self.videosource =cv2.VideoCapture(np.asarray(bytearray(response.read()), dtype=np.uint8))
self.count = 0
self.argobj = Parse()
self.facecascade = cv2.CascadeClassifier(self.argobj.input_path)
def CaptureFrames(self):
while True:
#Create Frame Number for each frame we are assigning the 08d with number which is there in self.count
framenumber = '%08d' % (self.count)
#Capture frame by Frame
ret, frame =videosource.read()
#set screen color to gray so harr cascade can detect edges and faces
screencolor = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
#customize how cascade detect your face
faces = self.facecascade.detectMultiScale(screencolor,scaleFactor = 1.1,minNeighbors=5,minSize = (30,30),flags = cv2.CASCADE_SCALE_IMAGE)
#Display resulting frame.
cv2.imshow('Spying on you',screencolor)
# If face length is 0 then it indicate that no faces detected
if len(faces) == 0:
pass
#If faces is detected then it will return 1 or more than 1 depend upon faces
elif len(faces) > 0:
print('Face Detected')
#Graph face and draw rectangle arround it.
for (x,y,w,h) in faces:
cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,0),2)
sub_face= frame[x:x+w,y:y+h]
cv2.imwrite(DEFAULT_OP_PATH + framenumber + '.jpg',sub_face)
#Increment count so we get uniquename for each frame
self.count +=1
if cv2.waitKey(1) == 27:
break
#When we are done capture we will close the release web connection
self.videosource.release()
cv2.waitKey(500)
cv2.destroyAllWindows()
cv2.waitKey(500)
def Parse():
parser = argparse.ArgumentParser(description='Cascade path for face detection')
parser.add_argument('-i','--input_path',type=str,default = DEFAULT_CASCADE_IP_PATH,help='Cascade input path')
parser.add_argument('-o','--output_path',type=str,default = DEFAULT_OP_PATH , help = 'Output path for pics taken')
args = parser.parse_args()
return args
def ClearImageFolder():
if not(os.path.exists(DEFAULT_OP_PATH)):
os.makedirs(DEFAULT_OP_PATH)
else:
for files in os.listdir(DEFAULT_OP_PATH):
filepath = os.path.join(DEFAULT_OP_PATH,files)
if os.path.isfile(filepath):
os.unlink(filepath)
else:
continue
def main():
ClearImageFolder()
#instaniate class object
faceDetect = VideoCap()
#Call Capture frames from class to begin face detection
faceDetect.CaptureFrames()
if __name__ == '__main__':
main()
Your help and time are most appreciated. |