mirror of
https://github.com/openmv/openmv.git
synced 2025-11-04 14:49:50 +08:00
scripts/examples: Remove examples with shadow removable.
This commit is contained in:
parent
953104284a
commit
a79cf5be55
@ -1,58 +0,0 @@
|
|||||||
# 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
|
|
||||||
#
|
|
||||||
# In Memory Shadow Removal w/ Frame Differencing Example
|
|
||||||
#
|
|
||||||
# This example demonstrates using frame differencing with your OpenMV Cam using
|
|
||||||
# shadow removal to help reduce the affects of cast shadows in your scene.
|
|
||||||
|
|
||||||
import sensor
|
|
||||||
import time
|
|
||||||
|
|
||||||
TRIGGER_THRESHOLD = 5
|
|
||||||
|
|
||||||
sensor.reset() # Initialize the camera sensor.
|
|
||||||
sensor.set_pixformat(sensor.RGB565) # or sensor.GRAYSCALE
|
|
||||||
sensor.set_framesize(sensor.QQVGA) # or sensor.QVGA (or others)
|
|
||||||
if sensor.get_id() == sensor.OV7725: # Reduce sensor PLL from 6x to 4x.
|
|
||||||
sensor.__write_reg(0x0D, (sensor.__read_reg(0x0D) & 0x3F) | 0x40)
|
|
||||||
sensor.skip_frames(time=2000) # Let new settings take affect.
|
|
||||||
sensor.set_auto_whitebal(False) # Turn off white balance.
|
|
||||||
sensor.set_auto_gain(False) # Turn this off too.
|
|
||||||
clock = time.clock() # Tracks FPS.
|
|
||||||
|
|
||||||
# Take from the main frame buffer's RAM to allocate a second frame buffer.
|
|
||||||
# There's a lot more RAM in the frame buffer than in the MicroPython heap.
|
|
||||||
# However, after doing this you have a lot less RAM for some algorithms...
|
|
||||||
# So, be aware that it's a lot easier to get out of RAM issues now. However,
|
|
||||||
# frame differencing doesn't use a lot of the extra space in the frame buffer.
|
|
||||||
# But, things like AprilTags do and won't work if you do this...
|
|
||||||
extra_fb = sensor.alloc_extra_fb(sensor.width(), sensor.height(), sensor.RGB565)
|
|
||||||
|
|
||||||
print("About to save background image...")
|
|
||||||
sensor.skip_frames(time=2000) # Give the user time to get ready.
|
|
||||||
extra_fb.replace(sensor.snapshot())
|
|
||||||
print("Saved background image - Now frame differencing!")
|
|
||||||
|
|
||||||
while True:
|
|
||||||
clock.tick() # Track elapsed milliseconds between snapshots().
|
|
||||||
img = sensor.snapshot() # Take a picture and return the image.
|
|
||||||
|
|
||||||
# Note that for shadow removal to work the background image must be
|
|
||||||
# shadow free and have the same lighting as the latest image. Unlike max()
|
|
||||||
# shadow removal won't remove all dark objects unless they were shadows...
|
|
||||||
|
|
||||||
# Replace the image with the "abs(NEW-OLD)" frame difference.
|
|
||||||
img.remove_shadows(extra_fb).difference(extra_fb)
|
|
||||||
|
|
||||||
hist = img.get_histogram()
|
|
||||||
# This code below works by comparing the 99th percentile value (e.g. the
|
|
||||||
# non-outlier max value against the 90th percentile value (e.g. a non-max
|
|
||||||
# value. The difference between the two values will grow as the difference
|
|
||||||
# image seems more pixels change.
|
|
||||||
diff = hist.get_percentile(0.99).l_value() - hist.get_percentile(0.90).l_value()
|
|
||||||
triggered = diff > TRIGGER_THRESHOLD
|
|
||||||
|
|
||||||
print(clock.fps(), triggered) # Note: Your OpenMV Cam runs about half as fast while
|
|
||||||
# connected to your computer. The FPS should increase once disconnected.
|
|
||||||
@ -1,56 +0,0 @@
|
|||||||
# 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
|
|
||||||
#
|
|
||||||
# In Memory Shadow Removal w/ Frame Differencing Example
|
|
||||||
#
|
|
||||||
# Note: You will need an SD card to run this example.
|
|
||||||
#
|
|
||||||
# This example demonstrates using frame differencing with your OpenMV Cam using
|
|
||||||
# shadow removal to help reduce the affects of cast shadows in your scene.
|
|
||||||
|
|
||||||
import sensor
|
|
||||||
import os
|
|
||||||
import time
|
|
||||||
|
|
||||||
TRIGGER_THRESHOLD = 5
|
|
||||||
|
|
||||||
sensor.reset() # Initialize the camera sensor.
|
|
||||||
sensor.set_pixformat(sensor.RGB565) # or sensor.GRAYSCALE
|
|
||||||
sensor.set_framesize(sensor.QQVGA) # or sensor.QVGA (or others)
|
|
||||||
if sensor.get_id() == sensor.OV7725: # Reduce sensor PLL from 6x to 4x.
|
|
||||||
sensor.__write_reg(0x0D, (sensor.__read_reg(0x0D) & 0x3F) | 0x40)
|
|
||||||
sensor.skip_frames(time=2000) # Let new settings take affect.
|
|
||||||
sensor.set_auto_whitebal(False) # Turn off white balance.
|
|
||||||
sensor.set_auto_gain(False) # Turn this off too.
|
|
||||||
clock = time.clock() # Tracks FPS.
|
|
||||||
|
|
||||||
if not "temp" in os.listdir():
|
|
||||||
os.mkdir("temp") # Make a temp directory
|
|
||||||
|
|
||||||
print("About to save background image...")
|
|
||||||
sensor.skip_frames(time=2000) # Give the user time to get ready.
|
|
||||||
sensor.snapshot().save("temp/bg.bmp")
|
|
||||||
print("Saved background image - Now frame differencing!")
|
|
||||||
|
|
||||||
while True:
|
|
||||||
clock.tick() # Track elapsed milliseconds between snapshots().
|
|
||||||
img = sensor.snapshot() # Take a picture and return the image.
|
|
||||||
|
|
||||||
# Note that for shadow removal to work the background image must be
|
|
||||||
# shadow free and have the same lighting as the latest image. Unlike max()
|
|
||||||
# shadow removal won't remove all dark objects unless they were shadows...
|
|
||||||
|
|
||||||
# Replace the image with the "abs(NEW-OLD)" frame difference.
|
|
||||||
img.remove_shadows("temp/bg.bmp").difference("temp/bg.bmp")
|
|
||||||
|
|
||||||
hist = img.get_histogram()
|
|
||||||
# This code below works by comparing the 99th percentile value (e.g. the
|
|
||||||
# non-outlier max value against the 90th percentile value (e.g. a non-max
|
|
||||||
# value. The difference between the two values will grow as the difference
|
|
||||||
# image seems more pixels change.
|
|
||||||
diff = hist.get_percentile(0.99).l_value() - hist.get_percentile(0.90).l_value()
|
|
||||||
triggered = diff > TRIGGER_THRESHOLD
|
|
||||||
|
|
||||||
print(clock.fps(), triggered) # Note: Your OpenMV Cam runs about half as fast while
|
|
||||||
# connected to your computer. The FPS should increase once disconnected.
|
|
||||||
Loading…
Reference in New Issue
Block a user