- added

git-svn-id: http://moon:8086/svn/software/trunk/projects/opencv@310 b431acfa-c32f-4a4a-93f1-934dc6c82436

blobdetect_threaded.py

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+# import the necessary packages
+from __future__ import print_function
+from PiVideoStream import PiVideoStream
+from imutils.video import FPS
+from picamera.array import PiRGBArray
+from picamera import PiCamera
+import numpy as np
+import argparse
+import imutils
+import time
+import cv2
+
+# construct the argument parse and parse the arguments
+ap = argparse.ArgumentParser()
+ap.add_argument("-n", "--num-frames", type=int, default=100,
+	help="# of frames to loop over for FPS test")
+ap.add_argument("-d", "--display", type=int, default=-1,
+	help="Whether or not frames should be displayed")
+args = vars(ap.parse_args())
+
+# created a *threaded *video stream, allow the camera sensor to warmup,
+# and start the FPS counter
+print("[INFO] sampling THREADED frames from `picamera` module...")
+vs = PiVideoStream(resolution=(640,480), framerate=30).start()
+time.sleep(2.0)
+fps = FPS().start()
+
+# Setup SimpleBlobDetector parameters.
+params = cv2.SimpleBlobDetector_Params()
+ 
+# Change thresholds
+params.minThreshold = 10;
+params.maxThreshold = 200;
+ 
+# Filter by Area.
+params.filterByArea = True
+params.minArea = 200
+ 
+# Filter by Circularity
+params.filterByCircularity = True
+params.minCircularity = 0.5
+ 
+# Filter by Convexity
+params.filterByConvexity = False
+params.minConvexity = 0.87
+ 
+# Filter by Inertia
+params.filterByInertia = False
+params.minInertiaRatio = 0.01
+ 
+# Create a detector with the parameters
+ver = (cv2.__version__).split('.')
+if int(ver[0]) < 3 :
+    detector = cv2.SimpleBlobDetector(params)
+else : 
+    detector = cv2.SimpleBlobDetector_create(params) 
+
+# loop over some frames...this time using the threaded stream
+while fps._numFrames < args["num_frames"]:
+	# grab the frame from the threaded video stream
+	frame = vs.read()
+
+	# Detect blobs.
+	keypoints = detector.detect(frame)
+
+	# Draw detected blobs as red circles.
+	# cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS ensures the size of the circle corresponds to the size of blob
+	im_with_keypoints = cv2.drawKeypoints(frame, keypoints, np.array([]), (0,0,255), cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)
+	 
+	# Show keypoints
+	cv2.imshow("Keypoints", im_with_keypoints)
+	cv2.waitKey(1)
+
+	# check to see if the frame should be displayed to our screen
+	if args["display"] > 0:
+		if frame  != None:	
+			cv2.imshow("Frame", frame)
+			key = cv2.waitKey(10) & 0xFF
+
+   	# update the FPS counter
+	fps.update()
+
+# stop the timer and display FPS information
+fps.stop()
+vs.stop()
+print("[INFO] elasped time: {:.2f}".format(fps.elapsed()))
+print("[INFO] approx. FPS: {:.2f}".format(fps.fps()))
+print("[INFO] Camera : elasped time: {:.2f}".format(vs.getfps().elapsed()))
+print("[INFO] Camera: approx. FPS: {:.2f}".format(vs.getfps().fps()))
+
+# do a bit of cleanup
+cv2.destroyAllWindows()
+