def main():
is_succeeded = start_app()
if not is_succeeded:
return
time.sleep(5)
start_game()
for _ in range(10 * 60): # todo replace with while
is_fail = check_failure()
if is_fail:
restart_game()
else:
current_screen = ImageGrab.grab(bbox=(0, 107, 1919, 755))
detect_edge(current_screen)
time.sleep(0.3) # todo 0.1 or less
exit_game()
def plot_test_image_and_edges():
"""
example to plot an image and the detected edges
"""
test_file = pth.join(".", "tests", "test_data", "10_circles_colour.gif")
image_in = load_image(test_file)
edges = detect_edge(image_in)
fig, axes = plt.subplots(nrows=1, ncols=2)
ax_orig = axes[0]
ax_edges = axes[1]
ax_orig.imshow(image_in)
ax_edges.imshow(edges)
fig.show()
def plot_edge(im,sigma=1,high_threshold=None,low_threshold=None):
'''
Plots original image and edge image next to each other.
Arguments
im = 2D array describing image
sigma
high_threshold
low_threshold
Function which will be made interactive.
'''
edges = detect_edge(im,sigma,high_threshold,low_threshold)
fig, axes = plt.subplots(nrows=1, ncols=2)
ax_orig = axes[0]
ax_edges = axes[1]
ax_orig.imshow(im)
ax_edges.imshow(edges)
fig.show()
def test_high_noise_img():
im = generate_image(4, 0.5)
edge_test = ed.detect_edge(im, sigma=6)
profile = pp.pick_profile(edge_test)
ring_number = cr.count_rings(profile)
assert (ring_number == 1)
def test_medium_noise_img():
im = generate_image(2, 0.2)
edge_test = ed.detect_edge(im, sigma=3)
profile = pp.pick_profile(edge_test)
ring_number = cr.count_rings(profile)
assert (ring_number == 1)
def test_clean_img():
im = generate_image()
edge_test = ed.detect_edge(im, sigma=2)
profile = pp.pick_profile(edge_test)
ring_number = cr.count_rings(profile)
assert (ring_number == 1)
axes[0].imshow(z)
axes[0].plot([x0, x1], [y0, y1], 'k-')
axes[0].plot(x0, y0, 'go')
axes[0].plot(x1, y1, 'ro')
axes[0].axis('image')
axes[0].set_title('Binary edges image')
axes[1].plot(profile,'ko-')
axes[1].plot(0,profile[0],'go')
axes[1].plot(len(profile)-1,profile[-1],'ro')
axes[1].set_title('Profile across edges array')
axes[1].set_xlabel('Pixel distance')
# Run functions in order ======================================================
# Example edge binary image
test_file = pth.join('.', 'tests', 'test_data', '10_circles_colour.gif')
image_in = load_image(test_file)
z = detect_edge(image_in)
# Select coords
coords = binaryarray2coords(z)
# Calculate profile from coords
profile = coords2profile(coords)
# Plot result
plot_edges_profile(z,coords,profile)