openmv/scripts/examples/09-Feature-Detection/hog.py

29 lines
710 B
Python

# Histogram of Oriented Gradients (HoG) Example
#
# This example demonstrates HoG visualization.
#
# Note: Due to JPEG artifacts, the HoG visualization looks blurry. To see the
# image without JPEG artifacts, uncomment the lines that save the image to uSD.
import sensor, image, time
sensor.reset()
# Set sensor settings
sensor.set_contrast(1)
sensor.set_gainceiling(8)
sensor.set_framesize(sensor.QVGA)
sensor.set_pixformat(sensor.GRAYSCALE)
sensor.skip_frames(time = 2000)
clock = time.clock() # Tracks FPS.
while (True):
clock.tick()
img = sensor.snapshot()
img.find_hog()
# Uncomment to save raw FB to file and exit the loop
#img.save("/hog.pgm")
#break
print(clock.fps())