Update keypoints.py script.

This commit is contained in:
iabdalkader 2017-01-15 18:43:14 +02:00
parent e4c297d0e3
commit e650adb53a

View File

@ -10,7 +10,8 @@ sensor.reset()
# Sensor settings # Sensor settings
sensor.set_contrast(1) sensor.set_contrast(1)
sensor.set_gainceiling(16) sensor.set_gainceiling(16)
sensor.set_framesize(sensor.QCIF) sensor.set_framesize(sensor.VGA)
sensor.set_windowing((240, 240))
sensor.set_pixformat(sensor.GRAYSCALE) sensor.set_pixformat(sensor.GRAYSCALE)
sensor.set_auto_gain(False, value=100) sensor.set_auto_gain(False, value=100)
@ -32,14 +33,16 @@ clock = time.clock()
while (True): while (True):
clock.tick() clock.tick()
img = sensor.snapshot() img = sensor.snapshot()
# NOTE: See the docs for other arguments if (kpts1 == None):
kpts2 = img.find_keypoints(max_keypoints=100, scale_factor=1.2) # NOTE: By default find_keypoints returns multi-scale keypoints extracted from an image pyramid.
kpts1 = img.find_keypoints(max_keypoints=150, threshold=20, scale_factor=1.1)
if (kpts2 and kpts1 == None):
kpts1 = kpts2
draw_keypoints(img, kpts1) draw_keypoints(img, kpts1)
elif kpts2: else:
c = image.match_descriptor(kpts1, kpts2, threshold=85) # NOTE: When extracting keypoints to match the first descriptor, we use normalized=True to extract
# keypoints from the first scale only, which will match one of the scales in the first descriptor.
kpts2 = img.find_keypoints(max_keypoints=150, threshold=20, normalized=True)
if (kpts2):
c = image.match_descriptor(kpts1, kpts2, threshold=80)
match = c[6] # C[6] contains the number of matches. match = c[6] # C[6] contains the number of matches.
if (match>5): if (match>5):
img.draw_rectangle(c[2:6]) img.draw_rectangle(c[2:6])