66 lines
2.3 KiB
Python
66 lines
2.3 KiB
Python
import cv2
|
|
import numpy as np
|
|
import easyocr
|
|
import sys
|
|
|
|
# Initialize EasyOCR reader
|
|
reader = easyocr.Reader(['en'], gpu=False)
|
|
|
|
def extract_measure_numbers(img_path):
|
|
img = cv2.imread(img_path)
|
|
if img is None: return
|
|
|
|
# We find the rows of the staff
|
|
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
|
|
_, bin_inv = cv2.threshold(gray, 200, 255, cv2.THRESH_BINARY_INV)
|
|
|
|
# To find the first measure of this chunk, let's find the vertical measure bar
|
|
col_sums = np.sum(bin_inv, axis=0) / 255.0
|
|
# a measure bar is a tall black line
|
|
bar_xs = np.where(col_sums > 30)[0]
|
|
|
|
if len(bar_xs) == 0: return
|
|
|
|
# Group the xs into distinct bars
|
|
bars = []
|
|
curr = [bar_xs[0]]
|
|
for x in bar_xs[1:]:
|
|
if x - curr[-1] < 10:
|
|
curr.append(x)
|
|
else:
|
|
bars.append(int(np.mean(curr)))
|
|
curr = [x]
|
|
bars.append(int(np.mean(curr)))
|
|
|
|
print(f"File: {img_path}")
|
|
for bar_x in bars[:5]: # Check first 5 bars
|
|
# The measure number is usually right after the bar, slightly above the staff.
|
|
# Let's crop a box [bar_x : bar_x + 50] horizontally, and [staff_top - 30 : staff_top] vertically
|
|
|
|
# approximate staff_top
|
|
slice_cols = bin_inv[:, bar_x:bar_x+10]
|
|
row_sums = np.sum(slice_cols, axis=1) / 255.0
|
|
staff_rows = np.where(row_sums > 2)[0]
|
|
if len(staff_rows) == 0: continue
|
|
staff_top = staff_rows[0]
|
|
|
|
y1 = max(0, staff_top - 40)
|
|
y2 = staff_top
|
|
x1 = bar_x
|
|
x2 = min(img.shape[1], bar_x + 60)
|
|
|
|
crop = gray[y1:y2, x1:x2]
|
|
if crop.shape[0] < 10 or crop.shape[1] < 10: continue
|
|
|
|
# Upscale for OCR
|
|
crop_lg = cv2.resize(crop, (crop.shape[1]*3, crop.shape[0]*3), interpolation=cv2.INTER_CUBIC)
|
|
|
|
results = reader.readtext(crop_lg, allowlist='0123456789')
|
|
for (bbox, text, prob) in results:
|
|
if prob > 0.5:
|
|
print(f" Bar at x={bar_x}: Measure {text} (conf: {prob:.2f})")
|
|
|
|
if __name__ == "__main__":
|
|
extract_measure_numbers(r"C:\Users\Certes\.gemini\antigravity\brain\5805a1e3-c776-4325-8538-351d54b5e0a0\ai_slice_0.png")
|
|
extract_measure_numbers(r"C:\Users\Certes\.gemini\antigravity\brain\5805a1e3-c776-4325-8538-351d54b5e0a0\ai_slice_3.png")
|