batch update from _meta.js

content/CSE5519/CSE5519_A1.md

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+# CSE5519 Advances in Computer Vision (Topic A: 2021 and before: Semantic Segmentation)
+

content/CSE5519/CSE5519_A2.md

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+# CSE5519 Advances in Computer Vision (Topic A: 2022: Semantic Segmentation)
+

content/CSE5519/CSE5519_A3.md

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+# CSE5519 Advances in Computer Vision (Topic A: 2023 - 2024: Semantic Segmentation)
+

content/CSE5519/CSE5519_A4.md

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+# CSE5519 Advances in Computer Vision (Topic A: 2025: Semantic Segmentation)
+

content/CSE5519/CSE5519_B1.md

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+# CSE5519 Advances in Computer Vision (Topic B: 2021 and before: Vision-Language Models)
+

content/CSE5519/CSE5519_B2.md

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+# CSE5519 Advances in Computer Vision (Topic B: 2022: Vision-Language Models)
+

content/CSE5519/CSE5519_B3.md

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+# CSE5519 Advances in Computer Vision (Topic B: 2023: Vision-Language Models)
+

content/CSE5519/CSE5519_B4.md

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+# CSE5519 Advances in Computer Vision (Topic B: 2024: Vision-Language Models)
+

content/CSE5519/CSE5519_B5.md

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+# CSE5519 Advances in Computer Vision (Topic B: 2025: Vision-Language Models)
+

content/CSE5519/CSE5519_C1.md

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+# CSE5519 Advances in Computer Vision (Topic C: 2021 and before: Neural Rendering)
+

content/CSE5519/CSE5519_C2.md

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+# CSE5519 Advances in Computer Vision (Topic C: 2022: Neural Rendering)
+

content/CSE5519/CSE5519_C3.md

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+# CSE5519 Advances in Computer Vision (Topic C: 2023: Neural Rendering)
+

content/CSE5519/CSE5519_C4.md

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+# CSE5519 Advances in Computer Vision (Topic C: 2024 - 2025: Neural Rendering)
+

content/CSE5519/CSE5519_D1.md

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+# CSE5519 Advances in Computer Vision (Topic D: 2021 and before: Image and Video Generation)
+

content/CSE5519/CSE5519_D2.md

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+# CSE5519 Advances in Computer Vision (Topic D: 2022: Image and Video Generation)
+

content/CSE5519/CSE5519_D3.md

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+# CSE5519 Advances in Computer Vision (Topic D: 2023: Image and Video Generation)
+

content/CSE5519/CSE5519_D4.md

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+# CSE5519 Advances in Computer Vision (Topic D: 2024: Image and Video Generation)
+

content/CSE5519/CSE5519_D5.md

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+# CSE5519 Advances in Computer Vision (Topic D: 2025: Image and Video Generation)
+

content/CSE5519/CSE5519_E1.md

@@ -1,4 +1,4 @@
-# CSE5519 Topic E.1 2021 and before: Deep Learning for Geometric Computer Vision
+# CSE5519 Advances in Computer Vision (Topic E: 2021 and before: Deep Learning for Geometric Computer Vision)
 
 > [!NOTE]
 >

content/CSE5519/CSE5519_E2.md

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+# CSE5519 Advances in Computer Vision (Topic E: 2022: Deep Learning for Geometric Computer Vision)
+

content/CSE5519/CSE5519_E3.md

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+# CSE5519 Advances in Computer Vision (Topic E: 2023: Deep Learning for Geometric Computer Vision)
+

content/CSE5519/CSE5519_E4.md

@@ -0,0 +1,2 @@
+# CSE5519 Advances in Computer Vision (Topic E: 2024: Deep Learning for Geometric Computer Vision)
+

content/CSE5519/CSE5519_E5.md

@@ -0,0 +1,2 @@
+# CSE5519 Advances in Computer Vision (Topic E: 2025: Deep Learning for Geometric Computer Vision)
+

content/CSE5519/CSE5519_F1.md

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+# CSE5519 Advances in Computer Vision (Topic F: 2021 and before: Representation Learning)
+

content/CSE5519/CSE5519_F2.md

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+# CSE5519 Advances in Computer Vision (Topic F: 2022: Representation Learning)
+

content/CSE5519/CSE5519_F3.md

@@ -0,0 +1,2 @@
+# CSE5519 Advances in Computer Vision (Topic F: 2023: Representation Learning)
+

content/CSE5519/CSE5519_F4.md

@@ -0,0 +1,2 @@
+# CSE5519 Advances in Computer Vision (Topic F: 2024: Representation Learning)
+

content/CSE5519/CSE5519_F5.md

@@ -0,0 +1,2 @@
+# CSE5519 Advances in Computer Vision (Topic F: 2025: Representation Learning)
+

content/CSE5519/CSE5519_G2.md

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+# CSE5519 Advances in Computer Vision (Topic G: 2022 and before: Correspondence Estimation and Structure from Motion)
+

content/CSE5519/CSE5519_G3.md

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+# CSE5519 Advances in Computer Vision (Topic G: 2023: Correspondence Estimation and Structure from Motion)
+

content/CSE5519/CSE5519_G4.md

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+# CSE5519 Advances in Computer Vision (Topic G: 2024: Correspondence Estimation and Structure from Motion)
+

content/CSE5519/CSE5519_G5.md

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+# CSE5519 Advances in Computer Vision (Topic G: 2025: Correspondence Estimation and Structure from Motion)
+

content/CSE5519/CSE5519_H2.md

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+# CSE5519 Advances in Computer Vision (Topic H: 2022 and before: Safety, Robustness, and Evaluation of CV Models)
+

content/CSE5519/CSE5519_H3.md

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+# CSE5519 Advances in Computer Vision (Topic H: 2023: Safety, Robustness, and Evaluation of CV Models)
+

content/CSE5519/CSE5519_H4.md

@@ -0,0 +1,2 @@
+# CSE5519 Advances in Computer Vision (Topic H: 2024: Safety, Robustness, and Evaluation of CV Models)
+

content/CSE5519/CSE5519_H5.md

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+# CSE5519 Advances in Computer Vision (Topic H: 2025: Safety, Robustness, and Evaluation of CV Models)
+

content/CSE5519/CSE5519_I1.md

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+# CSE5519 Advances in Computer Vision (Topic I: 2021 and before: Embodied Computer Vision and Robotics)
+

content/CSE5519/CSE5519_I2.md

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+# CSE5519 Advances in Computer Vision (Topic I: 2022: Embodied Computer Vision and Robotics)
+

content/CSE5519/CSE5519_I3.md

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+# CSE5519 Advances in Computer Vision (Topic I: 2023 - 2024: Embodied Computer Vision and Robotics)
+

content/CSE5519/CSE5519_I4.md

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+# CSE5519 Advances in Computer Vision (Topic I: 2025: Embodied Computer Vision and Robotics)
+

content/CSE5519/CSE5519_J1.md

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+# CSE5519 Advances in Computer Vision (Topic J: 2021 and before: Open-Vocabulary Object Detection)
+

content/CSE5519/CSE5519_J2.md

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+# CSE5519 Advances in Computer Vision (Topic J: 2022: Open-Vocabulary Object Detection)
+

content/CSE5519/CSE5519_J3.md

@@ -0,0 +1,2 @@
+# CSE5519 Advances in Computer Vision (Topic J: 2023 - 2024: Open-Vocabulary Object Detection)
+

content/CSE5519/CSE5519_J5.md

@@ -0,0 +1,2 @@
+# CSE5519 Advances in Computer Vision (Topic J: 2025: Open-Vocabulary Object Detection)
+

content/CSE5519/CSE5519_L1.md

@@ -1,4 +1,4 @@
-# CSE5519 Lecture 1
+# CSE5519 Advances in Computer Vision (Lecture 1)
 
 ## What is the class about?
 

content/CSE5519/CSE5519_L2.md

@@ -1,4 +1,4 @@
-# CSE5519 Lecture 2
+# CSE5519 Advances in Computer Vision (Lecture 2)
 
 ## A brief history (time) of computer vision
 

content/CSE5519/CSE5519_L3.md

@@ -1,4 +1,4 @@
-# CSE5519 Lecture 3
+# CSE5519 Advances in Computer Vision (Lecture 3)
 
 ## Reminders
 

content/CSE5519/_meta.js

@@ -9,4 +9,60 @@ export default {
     "---":{
         type: 'separator'
     },
+    CSE5519_C1: "CSE5519 Advances in Computer Vision (Topic C: 2021 and before: Neural Rendering)",
+    CSE5519_F1: "CSE5519 Advances in Computer Vision (Topic F: 2021 and before: Representation Learning)",
+    CSE5519_B1: "CSE5519 Advances in Computer Vision (Topic B: 2021 and before: Vision-Language Models)",
+    CSE5519_D1: "CSE5519 Advances in Computer Vision (Topic D: 2021 and before: Image and Video Generation)",
+    CSE5519_A1: "CSE5519 Advances in Computer Vision (Topic A: 2021 and before: Semantic Segmentation)",
+    CSE5519_E1: "CSE5519 Advances in Computer Vision (Topic E: 2021 and before: Deep Learning for Geometric Computer Vision)",
+    CSE5519_I1: "CSE5519 Advances in Computer Vision (Topic I: 2021 and before: Embodied Computer Vision and Robotics)",
+    CSE5519_J1: "CSE5519 Advances in Computer Vision (Topic J: 2021 and before: Open-Vocabulary Object Detection)",
+    "---":{
+        type: 'separator'
+    },
+    CSE5519_H2: "CSE5519 Advances in Computer Vision (Topic H: 2022 and before: Safety, Robustness, and Evaluation of CV Models)",
+    CSE5519_G2: "CSE5519 Advances in Computer Vision (Topic G: 2022 and before: Correspondence Estimation and Structure from Motion)",
+    CSE5519_A2: "CSE5519 Advances in Computer Vision (Topic A: 2022: Semantic Segmentation)",
+    CSE5519_E2: "CSE5519 Advances in Computer Vision (Topic E: 2022: Deep Learning for Geometric Computer Vision)",
+    CSE5519_C2: "CSE5519 Advances in Computer Vision (Topic C: 2022: Neural Rendering)",
+    CSE5519_F2: "CSE5519 Advances in Computer Vision (Topic F: 2022: Representation Learning)",
+    CSE5519_B2: "CSE5519 Advances in Computer Vision (Topic B: 2022: Vision-Language Models)",
+    CSE5519_D2: "CSE5519 Advances in Computer Vision (Topic D: 2022: Image and Video Generation)",
+    CSE5519_I2: "CSE5519 Advances in Computer Vision (Topic I: 2022: Embodied Computer Vision and Robotics)",
+    CSE5519_J2: "CSE5519 Advances in Computer Vision (Topic J: 2022: Open-Vocabulary Object Detection)",
+    "---":{
+        type: 'separator'
+    },
+    CSE5519_H3: "CSE5519 Advances in Computer Vision (Topic H: 2023: Safety, Robustness, and Evaluation of CV Models)",
+    CSE5519_B3: "CSE5519 Advances in Computer Vision (Topic B: 2023: Vision-Language Models)",
+    CSE5519_G3: "CSE5519 Advances in Computer Vision (Topic G: 2023: Correspondence Estimation and Structure from Motion)",
+    CSE5519_C3: "CSE5519 Advances in Computer Vision (Topic C: 2023: Neural Rendering)",
+    CSE5519_D3: "CSE5519 Advances in Computer Vision (Topic D: 2023: Image and Video Generation)",
+    CSE5519_E3: "CSE5519 Advances in Computer Vision (Topic E: 2023: Deep Learning for Geometric Computer Vision)",
+    CSE5519_F3: "CSE5519 Advances in Computer Vision (Topic F: 2023: Representation Learning)",
+    CSE5519_I3: "CSE5519 Advances in Computer Vision (Topic I: 2023 - 2024: Embodied Computer Vision and Robotics)",
+    CSE5519_J3: "CSE5519 Advances in Computer Vision (Topic J: 2023 - 2024: Open-Vocabulary Object Detection)",
+    CSE5519_A3: "CSE5519 Advances in Computer Vision (Topic A: 2023 - 2024: Semantic Segmentation)",
+    "---":{
+        type: 'separator'
+    },
+    CSE5519_G4: "CSE5519 Advances in Computer Vision (Topic G: 2024: Correspondence Estimation and Structure from Motion)",
+    CSE5519_F4: "CSE5519 Advances in Computer Vision (Topic F: 2024: Representation Learning)",
+    CSE5519_D4: "CSE5519 Advances in Computer Vision (Topic D: 2024: Image and Video Generation)",
+    CSE5519_E4: "CSE5519 Advances in Computer Vision (Topic E: 2024: Deep Learning for Geometric Computer Vision)",
+    CSE5519_B4: "CSE5519 Advances in Computer Vision (Topic B: 2024: Vision-Language Models)",
+    CSE5519_H4: "CSE5519 Advances in Computer Vision (Topic H: 2024: Safety, Robustness, and Evaluation of CV Models)",
+    CSE5519_C4: "CSE5519 Advances in Computer Vision (Topic C: 2024 - 2025: Neural Rendering)",
+    "---":{
+        type: 'separator'
+    },
+    CSE5519_F5: "CSE5519 Advances in Computer Vision (Topic F: 2025: Representation Learning)",
+    CSE5519_B5: "CSE5519 Advances in Computer Vision (Topic B: 2025: Vision-Language Models)",
+    CSE5519_D5: "CSE5519 Advances in Computer Vision (Topic D: 2025: Image and Video Generation)",
+    CSE5519_E5: "CSE5519 Advances in Computer Vision (Topic E: 2025: Deep Learning for Geometric Computer Vision)",
+    CSE5519_A4: "CSE5519 Advances in Computer Vision (Topic A: 2025: Semantic Segmentation)",
+    CSE5519_G5: "CSE5519 Advances in Computer Vision (Topic G: 2025: Correspondence Estimation and Structure from Motion)",
+    CSE5519_I4: "CSE5519 Advances in Computer Vision (Topic I: 2025: Embodied Computer Vision and Robotics)",
+    CSE5519_H5: "CSE5519 Advances in Computer Vision (Topic H: 2025: Safety, Robustness, and Evaluation of CV Models)",
+    CSE5519_J5: "CSE5519 Advances in Computer Vision (Topic J: 2025: Open-Vocabulary Object Detection)",
 }

toolboxes/generate_markdown_from_meta.py

@@ -0,0 +1,191 @@
+#!/usr/bin/env python3
+"""
+Script to generate markdown files from _meta.js entries.
+For each entry in _meta.js, creates a markdown file with the key as filename and value as H1.
+"""
+
+import os
+import re
+import json
+from pathlib import Path
+
+def parse_meta_js(file_path):
+    """Parse the _meta.js file and extract entries."""
+    with open(file_path, 'r', encoding='utf-8') as f:
+        content = f.read()
+    
+    # Remove export default and clean up
+    content = content.replace('export default', '').strip()
+    content = content.replace('{', '').replace('}', '').strip()
+    
+    entries = {}
+    lines = content.split('\n')
+    
+    for line in lines:
+        line = line.strip()
+        if not line or line.startswith('//') or line.startswith('"---"'):
+            continue
+            
+        # Match key: "value" pattern
+        match = re.match(r'(\w+):\s*"([^"]+)"', line)
+        if match:
+            key = match.group(1)
+            value = match.group(2)
+            entries[key] = value
+    
+    return entries
+
+def get_user_confirmation(action, file_path, title):
+    """Get user confirmation for file operations."""
+    print(f"\n{action}: {file_path}")
+    print(f"Title: {title}")
+    
+    while True:
+        response = input("Proceed? (y/n/a for all/q to quit): ").lower().strip()
+        if response in ['y', 'yes']:
+            return True
+        elif response in ['n', 'no']:
+            return False
+        elif response in ['a', 'all']:
+            return 'all'
+        elif response in ['q', 'quit']:
+            return 'quit'
+        else:
+            print("Please enter 'y' (yes), 'n' (no), 'a' (all), or 'q' (quit)")
+
+def create_or_update_markdown_file(file_path, title, auto_confirm=False):
+    """Create a new markdown file or update existing one with correct H1."""
+    file_path = Path(file_path)
+    
+    # Create directory if it doesn't exist
+    file_path.parent.mkdir(parents=True, exist_ok=True)
+    
+    if file_path.exists():
+        # Read existing file to check current H1
+        with open(file_path, 'r', encoding='utf-8') as f:
+            content = f.read()
+        
+        lines = content.split('\n')
+        current_h1 = None
+        for line in lines:
+            if line.startswith('# '):
+                current_h1 = line[2:].strip()
+                break
+        
+        # Check if H1 needs updating
+        if current_h1 == title:
+            print(f"Skipped: {file_path} (H1 already correct)")
+            return True
+        
+        if not auto_confirm:
+            action = f"Update existing file"
+            if current_h1:
+                action += f" (current H1: '{current_h1}')"
+            else:
+                action += " (no H1 found)"
+            
+            confirmation = get_user_confirmation(action, file_path, title)
+            if confirmation == 'quit':
+                return 'quit'
+            elif confirmation == 'all':
+                auto_confirm = True
+            elif not confirmation:
+                print(f"Skipped: {file_path}")
+                return True
+        
+        # Update the file
+        updated_lines = []
+        h1_updated = False
+        
+        for line in lines:
+            # Check if this is an H1 line (starts with #)
+            if line.startswith('# ') and not h1_updated:
+                updated_lines.append(f"# {title}")
+                h1_updated = True
+            else:
+                updated_lines.append(line)
+        
+        # If no H1 was found, add it at the beginning
+        if not h1_updated:
+            updated_lines.insert(0, f"# {title}")
+            updated_lines.insert(1, "")  # Add empty line after H1
+        
+        # Write updated content
+        with open(file_path, 'w', encoding='utf-8') as f:
+            f.write('\n'.join(updated_lines))
+        
+        print(f"Updated: {file_path}")
+    else:
+        if not auto_confirm:
+            confirmation = get_user_confirmation("Create new file", file_path, title)
+            if confirmation == 'quit':
+                return 'quit'
+            elif confirmation == 'all':
+                auto_confirm = True
+            elif not confirmation:
+                print(f"Skipped: {file_path}")
+                return True
+        
+        # Create new file
+        content = f"# {title}\n\n"
+        with open(file_path, 'w', encoding='utf-8') as f:
+            f.write(content)
+        
+        print(f"Created: {file_path}")
+    
+    return True
+
+def main():
+    # Get current working directory
+    cwd = Path.cwd()
+    print(f"Current working directory: {cwd}")
+    
+    # Path to the _meta.js file (relative to current working directory)
+    meta_file = cwd / "content/CSE5519/_meta.js"
+    
+    if not meta_file.exists():
+        print(f"Error: {meta_file} not found!")
+        return
+    
+    # Parse the _meta.js file
+    entries = parse_meta_js(meta_file)
+    
+    if not entries:
+        print("No entries found in _meta.js")
+        return
+    
+    # Output directory for markdown files (relative to current working directory)
+    output_dir = cwd / "content/CSE5519"
+    
+    # Filter out separators and special entries
+    valid_entries = {k: v for k, v in entries.items() if k != "index" and not k.startswith("---")}
+    
+    print(f"Found {len(valid_entries)} entries to process from {meta_file}")
+    print("Options: y=yes, n=no, a=all (auto-confirm remaining), q=quit")
+    print("-" * 50)
+    
+    auto_confirm = False
+    processed = 0
+    skipped = 0
+    
+    # Generate markdown files
+    for key, title in valid_entries.items():
+        # Create markdown file path (relative to current working directory)
+        md_file = output_dir / f"{key}.md"
+        
+        # Create or update the markdown file
+        result = create_or_update_markdown_file(md_file, title, auto_confirm)
+        
+        if result == 'quit':
+            print("\nOperation cancelled by user.")
+            break
+        elif result:
+            processed += 1
+        else:
+            skipped += 1
+    
+    print("-" * 50)
+    print(f"Completed: {processed} files processed, {skipped} files skipped")
+
+if __name__ == "__main__":
+    main()