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main.py
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main.py
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import image_processing as imp
import image_operations as imo
import staff_lines as sl
import image_region_recognition as irr
import music_classification as mc
import os
def load_image(image_name):
print("Loading image: %s" % image_name)
return imp.load_image(image_name)
def image_gray(image):
print("Grayscaling image...")
return imp.image_gray(image)
def image_bin_adaptive_gauss(image, block_size):
print("Binarizing image (Adaptive Gaussian Binarization)...")
return imp.image_bin_adaptive_gauss(image, block_size)
def invert(image):
print("Inverting image...")
return imp.invert(image)
def display_image(image):
return imp.display_image(image)
def open_image(image, kernel=None):
return imo.open_image(image, kernel)
def open_image_vertically(staff_image, avg_staff_spacing):
print("Opening staff image with vertical kernel...")
return imo.open_image_vertically(staff_image, avg_staff_spacing)
def find_lines(inv_img):
print("Finding staff lines...")
return sl.find_lines(inv_img)
def remove_lines(inv_img, lines):
print("Removing staff lines...")
return sl.remove_lines(inv_img, lines)
def find_regions(org_image, ref_image=None, pixel_span=2, eight_way=True):
return irr.find_regions(org_image, ref_image=ref_image, pixel_span=pixel_span, eight_way=eight_way)
def find_vertical_regions(staff_image, img_vert_lines, avg_staff_spacing, pixel_span=1, eight_way=True):
print("Finding vertical regions...")
return irr.find_vertical_regions(staff_image, img_vert_lines, avg_staff_spacing,
pixel_span=pixel_span, eight_way=eight_way)
def get_bar_lines(regions, vertical_lines, staff):
print("Classifying bar lines...")
return mc.get_bar_lines(regions, vertical_lines, staff)
def remove_bar_lines(images, bar_lines, regions):
print("Removing bar lines from staff images and regions...")
return mc.remove_bar_lines(images, bar_lines, regions)
def get_clefs(image, regions, bar_lines):
print("Classifying clefs...")
return mc.get_clefs(image, regions, bar_lines)
def remove_clefs(images, clefs, regions):
if len(clefs) > 0:
print("Removing clefs from staff images and regions...")
return mc.remove_clefs(images, clefs, regions)
def get_time_signatures(staff_image, regions, bar_lines, clefs):
print("Classyfing time signatures...")
return mc.get_time_signatures(staff_image, regions, bar_lines, clefs)
def remove_time_signatures(images, time_signatures, regions):
if len(time_signatures) > 0:
print("Removing time signatures...")
return mc.remove_time_signatures(images, time_signatures, regions)
def get_endings(staff_image, regions, top_staff_line_row):
print("Classyfing endings...")
return mc.get_endings(staff_image, regions, top_staff_line_row)
def remove_endings(images, endings, regions):
if len(endings) > 0:
print("Removing time signatures...")
return mc.remove_endings(images, endings, regions)
def find_vertical_notes(image, regions, staff, staff_spacing, staff_distance):
print("Finding notes...")
return mc.find_vertical_notes(image, regions, staff, staff_spacing, staff_distance)
def remove_vertical_notes(images, notes, regions):
return mc.remove_vertical_notes(images, notes, regions)
def find_accidentals(image, regions):
print("Finding accidentals...")
return mc.find_accidentals(image, regions)
def remove_accidentals(images, accidentals, regions):
return mc.remove_accidentals(images, accidentals, regions)
def find_dots(image, regions, staff_spacing):
print("Finding duration dots...")
return mc.find_dots(image, regions, staff_spacing)
def remove_dots(images, dots, regions):
return mc.remove_duration_dots(images, [dot[0] for dot in dots], regions)
def remove_ledgers(images, regions, staff, staff_distance):
return mc.remove_ledgers(images, regions, staff, staff_distance)
def find_whole_notes(image, regions, bar_lines, clefs, time_signatures, staff, staff_spacing, staff_distance):
return mc.find_whole_notes(image, regions, bar_lines, clefs, time_signatures,
staff, staff_spacing, staff_distance)
def remove_whole_notes(images, whole_notes, regions):
return mc.remove_whole_notes(images, whole_notes, regions)
def find_rests(image, regions, bar_lines):
return mc.find_rests(image, regions, bar_lines)
def remove_rests(images, rests, regions):
return mc.remove_whole_notes(images, rests, regions)
def export_data(index, bar_lines, clefs, time_signatures, endings, notes,
accidentals, dots, whole_notes, rests, staff, staff_spacing, staff_distance):
print("Exporting data...")
return mc.export_data(index, bar_lines, clefs, time_signatures, endings, notes,
accidentals, dots, whole_notes, rests, staff, staff_spacing, staff_distance)
def analyze_staff(img_wo_lines, staff, index, avg_staff_spacing, avg_staff_distance):
print("Analyzing staff %s" % (index + 1))
staff_image_top = staff[0][0] - avg_staff_distance//2
staff_image_bot = staff[-1][-1] + avg_staff_distance//2
staff_image = img_wo_lines[staff_image_top: staff_image_bot]
staff_copy = staff_image.copy()
img_vert_lines = open_image_vertically(staff_image, avg_staff_spacing)
vertical_lines = find_regions(img_vert_lines, pixel_span=1, eight_way=False)[1]
img_vert_objects, vertical_regions = \
find_vertical_regions(staff_image, img_vert_lines,
avg_staff_spacing, pixel_span=1, eight_way=False)
bar_lines = get_bar_lines(vertical_regions, vertical_lines, staff)
remove_bar_lines([staff_image, img_vert_lines],
bar_lines, [])
img_vert_objects, vertical_regions = \
find_vertical_regions(staff_image, img_vert_lines,
avg_staff_spacing, pixel_span=3)
clefs = get_clefs(staff_image, vertical_regions, bar_lines)
remove_clefs([staff_image, img_vert_objects, img_vert_lines], clefs, vertical_regions)
endings = get_endings(staff_image, vertical_regions, staff[0][0] - staff_image_top)
remove_endings([staff_image, img_vert_objects, img_vert_lines],
endings, vertical_regions)
regions = find_regions(staff_image, pixel_span=1, eight_way=False)[1]
dots = find_dots(staff_image, regions, avg_staff_spacing)
remove_dots([staff_image], dots, [regions])
img_vert_lines = imo.open_image_vertically(staff_image, avg_staff_spacing, 3.5)
img_vert_objects, vertical_regions = \
find_vertical_regions(staff_image, img_vert_lines,
avg_staff_spacing, pixel_span=2, eight_way=True)
img_vert_lines = imo.open_image_vertically(staff_image, avg_staff_spacing, 1.5)
img_vert_objects, vertical_regions = \
find_vertical_regions(imo.image_subtract(staff_image, img_vert_objects), img_vert_lines,
avg_staff_spacing, pixel_span=1, eight_way=False)
accidentals = find_accidentals(img_vert_objects, vertical_regions)
remove_accidentals([staff_image], accidentals, None)
img_vert_objects, vertical_regions = \
find_vertical_regions(staff_image, img_vert_lines,
avg_staff_spacing, pixel_span=2)
time_signatures = get_time_signatures(staff_image, vertical_regions, bar_lines,
[clef[0] for clef in clefs])
remove_time_signatures([staff_image, img_vert_objects, img_vert_lines],
time_signatures, vertical_regions)
img_vert_objects, vertical_regions = \
find_vertical_regions(staff_image, img_vert_lines,
avg_staff_spacing, pixel_span=4, eight_way=True)
notes = find_vertical_notes(img_vert_objects, vertical_regions, staff,
avg_staff_spacing, avg_staff_distance)
remove_vertical_notes([staff_image, img_vert_objects, img_vert_lines],
notes, vertical_regions)
remove_ledgers([staff_image], regions, staff, avg_staff_distance)
regions = find_regions(staff_image, pixel_span=2)[1]
rests = find_rests(staff_image, regions, bar_lines)
remove_rests([staff_image], [rest[0] for rest in rests], [regions])
regions = find_regions(staff_image, pixel_span=3)[1]
whole_notes = find_whole_notes(staff_image, regions, bar_lines, [clef[0] for clef in clefs],
[time_signature[0] for time_signature in time_signatures],
staff, avg_staff_spacing, avg_staff_distance)
remove_whole_notes([staff_image], [note[0] for note in whole_notes], [regions])
export_data(index, bar_lines, clefs, time_signatures, endings, notes,
accidentals, dots, whole_notes, rests, staff, avg_staff_spacing, avg_staff_distance)
imp.display_image(staff_copy)
def perform_recognition(image_name):
org_image = load_image(image_name)
img_gray = image_gray(org_image)
img_bin = imp.image_bin_adaptive(img_gray, 9)
inv_img = invert(img_bin)
lines, line_distances, avg_staff_spacing,\
staff_distances, avg_staff_distance = find_lines(inv_img)
img_wo_lines = remove_lines(inv_img, lines)
for index, staff in enumerate(lines):
analyze_staff(img_wo_lines, staff, index, avg_staff_spacing, avg_staff_distance)
for f in os.listdir("test_dataset"):
try:
print("File: %s" % f)
perform_recognition("test_dataset/%s" % f)
except Exception as e:
print("ERROR!")
print(e)