Error: Images not Equal

I am trying my first OpenMV program.

Basically, it is a frame difference example with a snapshot. I am getting the attached error event though I am just using the example code.

What is causing that? My code is also below.

Thank you in advance.
images not equal.jpg

# Advanced Frame Differencing Example
# This example demonstrates using frame differencing with your OpenMV Cam. This
# example is advanced because it preforms a background update to deal with the
# backgound image changing overtime.

# check: .blend, .difference, also settings like TRIGGER_THRESHOLD,

import sensor, image, pyb, os, time, math
from pyb import Pin

pin1 = Pin('P1', Pin.OUT_PP, Pin.PULL_NONE)

thresholds = [(30, 100, 15, 127, 15, 127), # generic_red_thresholds
              (30, 100, -64, -8, -32, 32), # generic_green_thresholds
              (0, 15, 0, 40, -80, -20)] # generic_blue_thresholds


BG_UPDATE_FRAMES = 50 # How many frames before blending.
BG_UPDATE_BLEND = 128 # How much to blend by... ([0-256]==[0.0-1.0]).

picCount = 0

sensor.reset() # Initialize the camera sensor.
sensor.set_pixformat(sensor.GRAYSCALE) # or sensor.RGB565
sensor.set_framesize(sensor.QVGA) # or sensor.QQVGA (or others)
sensor.skip_frames(time = 2000) # Let new settings take affect.
sensor.set_auto_whitebal(False) # Turn off white balance.
clock = time.clock() # Tracks FPS.

sensor.set_auto_exposure(True, exposure_us=10000) # shutter module

# 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.
print("Saved background image - Now frame differencing!")

triggered = False

frame_count = 0
    clock.tick() # Track elapsed milliseconds between snapshots().
    img = sensor.snapshot() # Take a picture and return the image.

    frame_count += 1
    if (frame_count > BG_UPDATE_FRAMES):
        frame_count = 0
        # Blend in new frame. We're doing 256-alpha here because we want to
        # blend the new frame into the backgound. Not the background into the
        # new frame which would be just alpha. Blend replaces each pixel by
        # ((NEW*(alpha))+(OLD*(256-alpha)))/256. So, a low alpha results in
        # low blending of the new image while a high alpha results in high
        # blending of the new image. We need to reverse that for this update.
        img.blend(extra_fb, alpha=(256-BG_UPDATE_BLEND))

    # Replace the image with the "abs(NEW-OLD)" frame difference.

    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.


What firmware version are you running?

I looked everywhere but cannot find it.

I am using Windows which I thought updates to the latest firmware?

How can I find out the firmware version?


I found it.

Firmware Version: 3.4.1 - [latest]

The two images need to be the same width, height and format. If you change this to GRAYSCALE it works:

extra_fb = sensor.alloc_extra_fb(sensor.width(), sensor.height(), sensor.RGB565)

Thank you Ibrahim.