Implement OpenCV Functionality for Screen-Based Interactions #4

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nicole · 2025-04-03T20:26:19-06:00

nicole commented

2025-04-03 20:26:19 -06:00

OpenCV vs OCR (Tesseract/EasyOCR) Performance in Borealis

Performance Speed:
- OpenCV is significantly faster than OCR engines like Tesseract or EasyOCR for many use cases (e.g., pattern recognition, object detection).
- OpenCV can handle 60+ frames per second (FPS) for real-time screen analysis, depending on resolution and complexity.
- OCR engines (like Tesseract/EasyOCR) typically operate at much slower speeds, often less than 1 frame per second for full-page scans.
Orders of Magnitude:
- OpenCV can be 1–2 orders of magnitude faster than OCR for tasks like template matching or object tracking.
- OCR involves text recognition, which requires parsing and interpreting each character, leading to more processing time.
- OpenCV, being low-level and not needing to "understand" text, just detects pixels and shapes quickly.
Why OpenCV is Faster:
- Written in C++ with Python bindings, OpenCV uses low-level image processing (direct pixel manipulation).
- OpenCV performs basic image math, such as thresholding, color detection, and contour finding, at real-time speeds.
- OCR requires loading a trained model, performing inference, and recognizing characters, which takes longer than direct image comparison.
Use Cases for OpenCV in Borealis:
- Template Matching: Detect specific game elements, like monsters, icons, or buttons, by matching a template image to the screen.
- Color Thresholding: Identify specific color patterns on the screen, like health bars or status indicators.
- Edge Detection: Detect specific shapes (e.g., health bars, objects) through contour detection and edge filtering.
- Object Tracking: Track moving game elements (e.g., mobs, player, etc.) using object detection and feature matching algorithms (e.g., SIFT, ORB).
- Real-time Region Analysis: Analyze sections of the screen in real-time without the overhead of full text parsing (ideal for quick data like mob detection).
- Text Positioning: Use OpenCV to locate and highlight specific text patterns without the need for OCR, relying on consistent fonts and positioning.
- Motion Detection: Detect movement or changes in the game environment to trigger actions or alerts (e.g., detecting player activity).
General Benefits:
- Speed: OpenCV can achieve frame rates of 60 FPS or higher for real-time image analysis, making it suitable for fast-paced games or dynamic environments.
- Low Latency: Because OpenCV is not based on machine learning inference, it introduces minimal latency compared to OCR-based methods.
- Scalability: OpenCV can process multiple regions simultaneously at high speed, making it ideal for large screen areas or complex game environments.
- Minimal Resource Usage: OpenCV’s operations are lightweight and efficient, making it less resource-intensive than running OCR models continuously.

### OpenCV vs OCR (Tesseract/EasyOCR) Performance in Borealis - **Performance Speed**: - **OpenCV** is significantly faster than OCR engines like Tesseract or EasyOCR for many use cases (e.g., pattern recognition, object detection). - **OpenCV** can handle **60+ frames per second** (FPS) for real-time screen analysis, depending on resolution and complexity. - **OCR engines** (like Tesseract/EasyOCR) typically operate at much slower speeds, often **less than 1 frame per second** for full-page scans. - **Orders of Magnitude**: - OpenCV can be **1–2 orders of magnitude faster** than OCR for tasks like template matching or object tracking. - OCR involves text recognition, which requires parsing and interpreting each character, leading to more processing time. - OpenCV, being low-level and not needing to "understand" text, just detects pixels and shapes quickly. - **Why OpenCV is Faster**: - Written in **C++** with Python bindings, OpenCV uses **low-level image processing** (direct pixel manipulation). - OpenCV performs **basic image math**, such as thresholding, color detection, and contour finding, at **real-time speeds**. - OCR requires loading a trained model, performing inference, and recognizing characters, which takes longer than direct image comparison. - **Use Cases for OpenCV in Borealis**: - **Template Matching**: Detect specific **game elements**, like monsters, icons, or buttons, by matching a template image to the screen. - **Color Thresholding**: Identify specific **color patterns** on the screen, like health bars or status indicators. - **Edge Detection**: Detect specific **shapes** (e.g., health bars, objects) through contour detection and edge filtering. - **Object Tracking**: Track moving game elements (e.g., mobs, player, etc.) using **object detection** and **feature matching** algorithms (e.g., SIFT, ORB). - **Real-time Region Analysis**: Analyze sections of the screen in **real-time** without the overhead of full text parsing (ideal for quick data like mob detection). - **Text Positioning**: Use OpenCV to locate and highlight specific **text patterns** without the need for OCR, relying on consistent fonts and positioning. - **Motion Detection**: Detect **movement** or changes in the game environment to trigger actions or alerts (e.g., detecting player activity). - **General Benefits**: - **Speed**: OpenCV can achieve frame rates of **60 FPS** or higher for real-time image analysis, making it suitable for fast-paced games or dynamic environments. - **Low Latency**: Because OpenCV is not based on machine learning inference, it introduces **minimal latency** compared to OCR-based methods. - **Scalability**: OpenCV can process **multiple regions simultaneously** at high speed, making it ideal for large screen areas or complex game environments. - **Minimal Resource Usage**: OpenCV’s operations are lightweight and efficient, making it **less resource-intensive** than running OCR models continuously.

nicole added the

labels 2025-04-03 20:26:19 -06:00

nicole self-assigned this 2025-04-03 20:26:19 -06:00

nicole added this to the Borealis - Feature Roadmap project 2025-05-16 14:24:41 -06:00

nicole moved this to To Do in Borealis - Feature Roadmap on 2025-05-16 14:25:05 -06:00

nicole moved this to In Progress in Borealis - Feature Roadmap on 2025-05-16 14:25:42 -06:00

nicole moved this to To Do in Borealis - Feature Roadmap on 2025-05-16 14:25:44 -06:00

nicole moved this to Potential Ideas / Suggestions in Borealis - Feature Roadmap on 2025-06-01 13:21:45 -06:00

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Reference: bunny-lab/Borealis#4