def process_image():
reset_tiles()
start_time = time.time()
break_fully = False
output = ''
debug_images = []
for blur in [1,3,5,7,9]:
print(break_fully)
if break_fully:
break
for erode in [1,2,3,4,5,6,7]:
if break_fully:
break
for iterations in [1,2,3,4]:
try:
debug_images, output = frameProcessor.process_image(blur, threshold, adjustment, erode, iterations)
if '.' in output and len(output) == 4:
output = remove_duplicate_chars(output)
elif '.' not in output and len(output) == 3:
output = remove_duplicate_chars(output)
if output != '' and ((len(output) == 2 and '.' not in output) or (len(output) == 3 and '.' in output) ) and (check_instance(output, float) or check_instance(output, int)):
print("Output:"+output)
break_fully = True
break
except:
output = output
for image in debug_images:
show_img(image[0], image[1])
print(output)
print("Processed image in %s seconds" % (time.time() - start_time))
cv2.imshow(window_name, frameProcessor.img)
cv2.moveWindow(window_name, 600, 600)
def process_image():
reset_tiles()
start_time = time.time()
break_fully = False
output = ''
debug_images = []
print "Blur:" + str(blur)
print "Erode:" + str(erode)
print "Iterations:" + str(iterations)
try:
debug_images, output = frameProcessor.process_image(
blur, threshold, adjustment, erode, iterations)
if '.' in output and len(output) == 4:
output = remove_duplicate_chars(output)
elif '.' not in output and len(output) == 3:
output = remove_duplicate_chars(output)
if output != '' and (
(len(output) == 2 and '.' not in output) or
(len(output) == 3 and '.' in output)) and (check_instance(
output, float) or check_instance(output, int)):
print("Output:" + output)
except:
output = output
for image in debug_images:
show_img(image[0], image[1])
print(output)
print("Processed image in %s seconds" % (time.time() - start_time))
cv2.imshow(window_name, frameProcessor.img)
cv2.moveWindow(window_name, 600, 600)
def process_image(path, show=True, write=False):
print path
img = cv2.imread(path)
if show:
show_img('orig', img)
file_folder, full_file = os.path.split(path)
file_name = full_file.split('.')[0]
# erode_img(img, file_name, file_folder, show, write)
dilate_img(img, file_name, file_folder, show, write)
def erode_img(img, file_name, file_folder, show, write):
for iterations in range(1, 3):
for erode in range(1, 4, 2):
kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (erode, erode))
eroded = cv2.erode(img, kernel, iterations=iterations)
for rot in range(-2, 3, 2):
dst = rotate_image(eroded, rot)
title = 'eroded-r-' + str(rot) + '-e-' + str(erode) + '-i-' + str(iterations)
if show:
show_img(title, dst)
if write:
cv2.imwrite(file_folder + '/' + file_name + title + '.png', dst)
def process_image():
reset_tiles()
start_time = time.time()
debug_images, output = frameProcessor.process_image(blur, threshold, adjustment, erode, iterations)
for image in debug_images:
show_img(image[0], image[1])
print("Processed image in %s seconds" % (time.time() - start_time))
cv2.imshow(window_name, frameProcessor.img)
cv2.moveWindow(window_name, 600, 600)
def dilate_img(img, file_name, file_folder, show, write):
for iterations in range(1, 4, 2):
for dilate in range(1, 4, 2):
kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (dilate, dilate))
dilated = cv2.dilate(img, kernel, iterations=iterations)
for rot in range(-2, 3, 2):
dst = rotate_image(dilated, rot)
title = 'dilated-r-' + str(rot) + '-d-' + str(dilate) + '-i-' + str(iterations)
if show:
show_img(title, dst)
if write:
print 'Writing ' + file_folder + '/' + file_name + title + '.png'
cv2.imwrite(file_folder + '/' + file_name + title + '.png', dst)
