Update face_tracking script.

* Search for new keypoints within a detected face.
* Draw based on matching percentage of keypoints.
This commit is contained in:
iabdalkader 2016-02-22 03:32:32 +02:00
parent 4e5b200bdf
commit 9f7b370b0e

View File

@ -10,7 +10,7 @@ sensor.reset()
# Sensor settings
sensor.set_contrast(1)
sensor.set_gainceiling(16)
sensor.set_framesize(sensor.HQVGA)
sensor.set_framesize(sensor.QQVGA)
sensor.set_pixformat(sensor.GRAYSCALE)
# Skip a few frames to allow the sensor settle down
@ -38,9 +38,10 @@ while (kpts1 == None):
img.draw_rectangle(objects[0])
# Extract keypoints using the detect face size as the ROI
kpts1 = img.find_keypoints(threshold=KEYPOINTS_THRESH, normalized=NORMALIZED, roi=objects[0])
if kpts1:
img.draw_keypoints(kpts1)
time.sleep(1000)
# Draw keypoints
img.draw_keypoints(kpts1)
time.sleep(1000)
# FPS clock
clock = time.clock()
@ -49,15 +50,19 @@ while (True):
clock.tick()
img = sensor.snapshot()
# Extract keypoints using the whole image.
kpts2 = img.find_keypoints(threshold=KEYPOINTS_THRESH, normalized=NORMALIZED)
# Find faces
objects = img.find_features(face_cascade, threshold=0.5, scale=1.5)
if objects:
# Extract keypoints using the detect face size as the ROI
kpts2 = img.find_keypoints(threshold=KEYPOINTS_THRESH, normalized=NORMALIZED, roi=objects[0])
# Match the first set of keypoints with the second one
if (kpts2):
c=img.match_keypoints(kpts1, kpts2, MATCHING_THRESH)
# Match the first set of keypoints with the second one
if (kpts2):
c=img.match_keypoints(kpts1, kpts2, MATCHING_THRESH)
# If a match was found, draw the matching keypoints
if (c):
img.draw_cross(c[0], c[1], size=5)
img.draw_string(0, 0, "Tracking face...")
# If more than 10% of the keypoints match draw the matching set
if (c[2]>10):
img.draw_rectangle(objects[0])
img.draw_cross(c[0], c[1], size=5)
img.draw_string(0, 0, "Match %d%%"%(c[2]))
print (clock.fps())