openmv/scripts/examples/05-Feature-Detection/hog.py
2025-05-30 11:05:14 -07:00

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Python

# This work is licensed under the MIT license.
# Copyright (c) 2013-2023 OpenMV LLC. All rights reserved.
# https://github.com/openmv/openmv/blob/master/LICENSE
#
# 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())