StillHammer
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Remove ClassGenSystem and obsolete tools from tracking, update course content files with latest revisions. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
83 lines
2.8 KiB
Python
83 lines
2.8 KiB
Python
#!/usr/bin/env python3
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"""
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Diagnostic script to understand the alignment issue.
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Prints precise coordinates to find the correction pattern.
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"""
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import json
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from pdf2image import convert_from_path
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json_path = "Raw/DevelopChinese/OCR/听力Intro.json"
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pdf_path = "Raw/DevelopChinese/PDF/听力Intro.pdf"
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# Load JSON
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with open(json_path) as f:
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data = json.load(f)
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page = data['pages'][0]
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details = [d for d in page['details'] if d.get('bbox') and d.get('text')]
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# Sort by Y coordinate
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details_sorted = sorted(details, key=lambda d: min(p[1] for p in d['bbox']))
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# Convert PDF
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imgs = convert_from_path(pdf_path, dpi=300, first_page=1, last_page=1)
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img_width, img_height = imgs[0].size
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# Get OCR dimensions
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max_x = max(max(p[0] for p in d['bbox']) for d in details)
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max_y = max(max(p[1] for p in d['bbox']) for d in details)
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ocr_width = int(max_x * 1.02)
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ocr_height = int(max_y * 1.02)
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print(f"Image dimensions: {img_width} x {img_height}")
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print(f"OCR dimensions: {ocr_width} x {ocr_height}")
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print(f"\n{'='*80}")
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print("BBOX COORDINATES ANALYSIS")
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print(f"{'='*80}\n")
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# Analyze top, middle, bottom blocks
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test_indices = [0, len(details_sorted)//2, -1]
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positions = ["TOP", "MIDDLE", "BOTTOM"]
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for idx, pos in zip(test_indices, positions):
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detail = details_sorted[idx]
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text = detail['text'][:30]
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bbox = detail['bbox']
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# Get bbox bounds
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ys = [p[1] for p in bbox]
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min_y = min(ys)
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max_y = max(ys)
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print(f"{pos} BLOCK: \"{text}\"")
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print(f" OCR Y coordinates: min_y={min_y}, max_y={max_y}")
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# Current formula (what we're using)
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# y_pdf = pdf_height - ((max_y / ocr_height) * pdf_height)
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pdf_height = float(ocr_height) # Using OCR dims as PDF dims
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y_current = pdf_height - ((max_y / ocr_height) * pdf_height)
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print(f" Current calculation: y_pdf = {pdf_height} - (({max_y}/{ocr_height}) * {pdf_height})")
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print(f" Current result: y_pdf = {y_current:.1f}")
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# Where SHOULD it be? (assuming 1:1 mapping)
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# In OCR space: text is at Y = min_y to max_y
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# In PDF space (origin bottom-left): text should be at Y = (pdf_height - max_y) to (pdf_height - min_y)
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y_should_be = pdf_height - max_y
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print(f" Expected (1:1): y_pdf = {pdf_height} - {max_y} = {y_should_be:.1f}")
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print(f" Difference: {y_current - y_should_be:.1f} points")
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print()
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print(f"{'='*80}")
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print("DIAGNOSTIC QUESTIONS:")
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print(f"{'='*80}\n")
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print("If all differences are ~0, the formula is correct but something else is wrong.")
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print("If TOP has positive diff and BOTTOM has negative diff, there's a scaling issue.")
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print("If all have the same diff, there's an offset issue.")
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print("\nLook at the PDF in debug mode and tell me:")
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print("1. For TOP block: red box is HOW MANY pixels too high/low?")
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print("2. For MIDDLE block: red box is HOW MANY pixels too high/low?")
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print("3. For BOTTOM block: red box is HOW MANY pixels too high/low?")
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