Draw Image Testing script with bounce

# 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
#
# Draw Image Testing script with bounce
#
# Exercise draw image with many different values for testing

import csi
import image
import time

csi0 = csi.CSI()
csi0.reset()
csi0.pixformat(csi.RGB565)  # or GRAYSCALE...
csi0.framesize(csi.QVGA)  # or QQVGA...
csi0.snapshot(time=2000)

clock = time.clock()

BOUNCE = True
RESCALE = True

SMALL_IMAGE_SCALE = 3

CYCLE_FORMATS = True
CYCLE_MASK = True

# Used when CYCLE_FORMATS or CYCLE_MASK is true
value_mixer = 0

# Location of small image
x = 100
y = 50

# Bounce direction
xd = 1
yd = 1

# Small image scaling
rescale = 1.0
rd = 0.1
max_rescale = 5
min_rescale = rd * 2

# Boundary to bounce within
xmin = -csi0.width() / SMALL_IMAGE_SCALE - 8
ymin = -csi0.height() / SMALL_IMAGE_SCALE - 8
xmax = csi0.width() + 8
ymax = csi0.height() + 8

while True:
    clock.tick()

    status = ""
    value_mixer = value_mixer + 1

    img = csi0.snapshot()
    # Makes a scaled copy of the sensor
    small_img = img.scale(x_scale=1.0 / SMALL_IMAGE_SCALE,
                          y_scale=1.0 / SMALL_IMAGE_SCALE,
                          hint=image.AREA, copy=True)

    status = "rgb565 "
    if CYCLE_FORMATS:
        image_format = (value_mixer >> 8) & 3
        # To test combining different formats
        if image_format == 1:
            small_img = small_img.to_bitmap(copy=True)
            status = "bitmap "
        if image_format == 2:
            small_img = small_img.to_grayscale(copy=True)
            status = "grayscale "
        if image_format == 3:
            small_img = small_img.to_rgb565(copy=True)
            status = "rgb565 "

    # update small image location
    if BOUNCE:
        x = x + xd
        if x < xmin or x > xmax:
            xd = -xd

        y = y + yd
        if y < ymin or y > ymax:
            yd = -yd

    # Update small image scale
    if RESCALE:
        rescale = rescale + rd
        if rescale < min_rescale or rescale > max_rescale:
            rd = -rd

    # Find the center of the image
    scaled_width = int(small_img.width() * abs(rescale))
    scaled_height = int(small_img.height() * abs(rescale))

    apply_mask = CYCLE_MASK and ((value_mixer >> 9) & 1)
    if apply_mask:
        img.draw_image(
            small_img,
            int(x),
            int(y),
            mask=small_img.to_bitmap(copy=True),
            x_scale=rescale,
            y_scale=rescale,
            alpha=240,
            hint=image.BILINEAR
        )
        status += "alpha:240 "
        status += "+mask "
    else:
        img.draw_image(
            small_img,
            int(x),
            int(y),
            x_scale=rescale,
            y_scale=rescale,
            alpha=128,
            hint=image.BILINEAR
        )
        status += "alpha:128 "

    img.draw_string((8, 0), status, mono_space=False)

    print(clock.fps())