openmv/scripts/examples/05-Feature-Detection/hog.py
2023-07-05 19:03:37 +02:00

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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
import 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())