Help- OpenCV, face recognition - cannot open display - Raspberry Pi Forums

hello everybody,
use ssh pc pi , use webcam camera c270. want recognize face, have stuff :
(video:3718): gtk-warning **cannot open display : : 1.0
here code :
import sys
import cv2.cv cv
optparse import optionparser

min_size = (20, 20)
image_scale = 2
haar_scale = 1.2
min_neighbors = 2
haar_flags = 0

def detect_and_draw(img, cascade):
# allocate temporary images
gray = cv.createimage((img.width,img.height), 8, 1)
small_img = cv.createimage((cv.round(img.width / image_scale),cv.round (img.height / image_scale)), 8, 1)

# convert color input image grayscale
cv.cvtcolor(img, gray, cv.cv_bgr2gray)

# scale input image faster processing
cv.resize(gray, small_img, cv.cv_inter_linear),
cv.equalizehist(small_img, small_img)

if(cascade):
t = cv.gettickcount()
faces = cv.haardetectobjects(small_img, cascade, cv.creatememstorage(0),haar_scale, min_neighbors, haar_flags, min_size)
t = cv.gettickcount() - t
print "time taken detection = %gms" % (t/(cv.gettickfrequency()*1000.))
if faces:
((x, y, w, h), n) in faces:
# input cv.haardetectobjects resized, scale the
# bounding box of each face , convert 2 cvpoints
pt1 = (int(x * image_scale), int(y * image_scale))
pt2 = (int((x + w) * image_scale), int((y + h) * image_scale))
cv.rectangle(img, pt1, pt2, cv.rgb(255, 0, 0), 3, 8, 0)

cv.showimage("video", img)

if __name__ == '__main__':

parser = optionparser(usage = "usage: %prog [options] [filename|camera_index]")
parser.add_option("-c", "--cascade", action="store", dest="cascade", type="str", help="haar cascade file, default %default", default = "../data/haarcascades/haarcascade_frontalface_alt.xml")
(options, args) = parser.parse_args()

cascade = cv.load(options.cascade)

if len(args) != 1:
parser.print_help()
sys.exit(1)

input_name = args[0]
if input_name.isdigit():
capture = cv.createcameracapture(int(input_name))
else:
capture = none

cv.namedwindow("video", 1)

#size of video
width = 160
height = 120

if width none:
width = int(cv.getcaptureproperty(capture, cv.cv_cap_prop_frame_width))
else:
cv.setcaptureproperty(capture,cv.cv_cap_prop_frame_width,width)

if height none:
height = int(cv.getcaptureproperty(capture, cv.cv_cap_prop_frame_height))
else:
cv.setcaptureproperty(capture,cv.cv_cap_prop_frame_height,height)

if capture:
frame_copy = none
while true:

frame = cv.queryframe(capture)
if not frame:
cv.waitkey(0)
break
if not frame_copy:
frame_copy = cv.createimage((frame.width,frame.height),
cv.ipl_depth_8u, frame.nchannels)

if frame.origin == cv.ipl_origin_tl:
cv.copy(frame, frame_copy)
else:
cv.flip(frame, frame_copy, 0)

detect_and_draw(frame_copy, cascade)

if cv.waitkey(10) >= 0:
break
else:
image = cv.loadimage(input_name, 1)
detect_and_draw(image, cascade)
cv.waitkey(0)

cv.destroywindow("video")

please me fix it, lot

vantruong57 wrote:hello everybody,
use ssh pc pi , use webcam camera c270. want recognize face, have stuff :
(video:3718): gtk-warning **cannot open display : : 1.0

please me fix it, lot

first, if use \{code\} tags here in forum, code gets lot easier read.

gtk- warning see either:
- because havent started x-windows , program want access x-server (desktop).
- or, desktop started local display environment variable in ssh session not pointing that. can fixed simple "export display=:0.0" likely.

code: select all

import sys import cv2.cv cv optparse import optionparser  min_size = (20, 20) image_scale = 2 haar_scale = 1.2 min_neighbors = 2 haar_flags = 0  def detect_and_draw(img, cascade):     # allocate temporary images     gray = cv.createimage((img.width,img.height), 8, 1)     small_img = cv.createimage((cv.round(img.width / image_scale),cv.round (img.height / image_scale)), 8, 1)      # convert color input image grayscale     cv.cvtcolor(img, gray, cv.cv_bgr2gray)      # scale input image faster processing     cv.resize(gray, small_img, cv.cv_inter_linear),     cv.equalizehist(small_img, small_img)      if(cascade):         t = cv.gettickcount()         faces = cv.haardetectobjects(small_img, cascade, cv.creatememstorage(0),haar_scale, min_neighbors, haar_flags, min_size)         t = cv.gettickcount() - t         print "time taken detection = %gms" % (t/(cv.gettickfrequency()*1000.))         if faces:             ((x, y, w, h), n) in faces:                 # input cv.haardetectobjects resized, scale                 # bounding box of each face , convert 2 cvpoints                 pt1 = (int(x * image_scale), int(y * image_scale))                 pt2 = (int((x + w) * image_scale), int((y + h) * image_scale))                 cv.rectangle(img, pt1, pt2, cv.rgb(255, 0, 0), 3, 8, 0)      cv.showimage("video", img)  if __name__ == '__main__':      parser = optionparser(usage = "usage: %prog [options] [filename|camera_index]")     parser.add_option("-c", "--cascade", action="store", dest="cascade", type="str", help="haar cascade file, default %default", default = "../data/haarcascades/haarcascade_frontalface_alt.xml")     (options, args) = parser.parse_args()      cascade = cv.load(options.cascade)      if len(args) != 1:         parser.print_help()         sys.exit(1)      input_name = args[0]     if input_name.isdigit():         capture = cv.createcameracapture(int(input_name))     else:         capture = none      cv.namedwindow("video", 1)      #size of video     width = 160     height = 120      if width none:         width = int(cv.getcaptureproperty(capture, cv.cv_cap_prop_frame_width))     else:         cv.setcaptureproperty(capture,cv.cv_cap_prop_frame_width,width)      if height none:     height = int(cv.getcaptureproperty(capture, cv.cv_cap_prop_frame_height))     else:     cv.setcaptureproperty(capture,cv.cv_cap_prop_frame_height,height)      if capture:         frame_copy = none         while true:              frame = cv.queryframe(capture)             if not frame:                 cv.waitkey(0)                 break             if not frame_copy:                 frame_copy = cv.createimage((frame.width,frame.height),                                             cv.ipl_depth_8u, frame.nchannels)              if frame.origin == cv.ipl_origin_tl:                 cv.copy(frame, frame_copy)             else:                 cv.flip(frame, frame_copy, 0)              detect_and_draw(frame_copy, cascade)              if cv.waitkey(10) >= 0:                 break     else:         image = cv.loadimage(input_name, 1)         detect_and_draw(image, cascade)         cv.waitkey(0)      cv.destroywindow("video") 

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