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Commit a5c5807d authored by Shahrul Kamil bin Hassan's avatar Shahrul Kamil bin Hassan
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# AprilTags Example
#
# This example shows the power of the OpenMV Cam to detect April Tags
# on the OpenMV Cam M7. The M4 versions cannot detect April Tags.
import sensor, image, time, math
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA) # we run out of memory if the resolution is much bigger...
sensor.skip_frames(time = 2000)
sensor.set_auto_gain(False) # must turn this off to prevent image washout...
sensor.set_auto_whitebal(False) # must turn this off to prevent image washout...
clock = time.clock()
XRES = 320
YRES = 240
# Note! Unlike find_qrcodes the find_apriltags method does not need lens correction on the image to work.
# What's the difference between tag families? Well, for example, the TAG16H5 family is effectively
# a 4x4 square tag. So, this means it can be seen at a longer distance than a TAG36H11 tag which
# is a 6x6 square tag. However, the lower H value (H5 versus H11) means that the false positve
# rate for the 4x4 tag is much, much, much, higher than the 6x6 tag. So, unless you have a
# reason to use the other tags families just use TAG36H11 which is the default family.
# The AprilTags library outputs the pose information for tags. This is the x/y/z translation and
# x/y/z rotation. The x/y/z rotation is in radians and can be converted to degrees. As for
# translation the units are dimensionless and you must apply a conversion function.
# f_x is the x focal length of the camera. It should be equal to the lens focal length in mm
# divided by the x sensor size in mm times the number of pixels in the image.
# The below values are for the OV7725 camera with a 2.8 mm lens.
# f_y is the y focal length of the camera. It should be equal to the lens focal length in mm
# divided by the y sensor size in mm times the number of pixels in the image.
# The below values are for the OV7725 camera with a 2.8 mm lens.
# c_x is the image x center position in pixels.
# c_y is the image y center position in pixels.
f_x = (2.8 / 3.673) * XRES # find_apriltags defaults to this if not set 3.984
f_y = (2.8 / 2.738) * YRES # find_apriltags defaults to this if not set
c_x = XRES * 0.5 # find_apriltags defaults to this if not set (the image.w * 0.5)
c_y = YRES * 0.5 # find_apriltags defaults to this if not set (the image.h * 0.5)
def degrees(radians):
return (180 * radians) / math.pi
#val = value from apriltag reading
#size = apriltag square length in cm
def ATDistance(val,size):
new_val = -10*val*size/16.3
return new_val
SIZE = 3.5
goal_id = [0, 1, 2]
while(True):
nearest_tag = [0,0,0,float('inf'),0,0,0]
clock.tick()
img = sensor.snapshot()
for tag in img.find_apriltags(fx=f_x, fy=f_y, cx=c_x, cy=c_y): # defaults to TAG36H11
img.draw_rectangle(tag.rect(), color = (255, 0, 0))
img.draw_cross(tag.cx(), tag.cy(), color = (0, 255, 0))
print_args = (tag.x_translation(), tag.y_translation(), tag.z_translation(), \
degrees(tag.x_rotation()), degrees(tag.y_rotation()), degrees(tag.z_rotation()))
# Translation units are unknown. Rotation units are in degrees.
#print("Tx: %f, Ty %f, Tz %f, Rx %f, Ry %f, Rz %f" % print_args)
#print("distance: ", ATDistance(tag.z_translation(),SIZE), " cm. ID: ",tag.id() )
for i in goal_id:
if tag.id() == i and ATDistance(tag.z_translation(),SIZE) < nearest_tag[3]:
nearest_tag[0] = tag.id()
nearest_tag[1] = tag.x_translation()
nearest_tag[2] = tag.y_translation()
nearest_tag[3] = ATDistance(tag.z_translation(),SIZE)
nearest_tag[4] = tag.x_rotation()
nearest_tag[5] = tag.y_rotation()
nearest_tag[6] = tag.z_rotation()
#check to see if there's a tag in frame
if nearest_tag[3] == float('inf'):
print("no tags in sight!")
else:
print("nearest tag id is ", nearest_tag[0], " with the distance", nearest_tag[3], " cm.")
#print(clock.fps())
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