def show_img(img):
display = Display()
img.show()
# Wait for user to close the window or break out of it.
while display.isNotDone():
try:
pass
except KeyboardInterrupt:
display.done = True
if display.mouseRight:
display.done = True
display.quit()
if ((tmpImg.width + tmpImg.height) == 2 * box_dim):
# cv2.imshow('classify',tmpImg.getNumpyCv2())
tmpImg.save(display)
result = tkMessageBox.askquestion(
"Wildebeest!",
"Is this one? (no if you don't know)",
icon='warning',
type='yesnocancel')
if result == 'yes':
save_path = "yes/img-" + str(counter) + ".png"
tmpImg.save(save_path)
fcount += 1
counter += 1
if result == 'no':
save_path = "no/img-" + str(counter) + ".png"
tmpImg.save(save_path)
counter += 1
if result == 'cancel':
display.done = True
break
# Display the resulting frame
# cv2.imshow('frame',frame)
# if cv2.waitKey(1) & 0xFF == ord('q'):
# break
# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()
display.quit()
from time import sleep
kinect = Kinect()
display = Display((640, 480))
pdepth = kinect.getDepth().invert()
ds = MOGSegmentation(history = 500, nMixtures = 5, backgroundRatio = 0.1, noiseSigma = 5, learningRate = 0.3)
ds.addImage(pdepth)
while not display.isDone():
depth = kinect.getDepth()
ds.addImage(depth)
df = ds.getSegmentedImage(False)
"""
if df is not None:
print "diffed"
blobs = df.dilate(3).findBlobs()
if blobs is not None:
df.dl().polygon(blobs[-1].mConvexHull, color = Color.RED)
"""
df.save(display)
if display.mouseLeft:
display.done = True
del kinect
#pg.quit()
