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--- |
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language: |
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- ru |
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license: mit |
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tags: |
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- ocr |
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- easyocr |
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- text-recognition |
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- classification |
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- lightgbm |
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- russian |
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- apex-legends |
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- custom-trained |
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datasets: |
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- custom |
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library_name: easyocr |
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model-index: |
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- name: Cyrillic OCR Fine-Tuned (EasyOCR) |
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results: [] |
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- name: Player Tier Classifier (LightGBM) |
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results: [] |
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--- |
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# 🛠 Models for Apex-Stat-Detector-Discord-Bot |
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This repository contains **two custom-trained models** developed specifically for the [AI-Apex-Stat-Detector-Discord-Bot](https://github.com/PSImera/AI-Apex-Stat-Detector-Discord-Bot.git): |
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1. 📄 **OCR Model (EasyOCR)** — for extracting Cyrillic stats text from Apex Legends profile screenshots |
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2. 🧠 **Tier Classifier (LightGBM)** — for evaluating player skill level based on recognized stats |
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--- |
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## 🔤 OCR Model – Cyrillic Text Recognition (EasyOCR) |
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This model is based on `cyrillic_g2.pth`, fine-tuned to recognize the font used in the Apex Legends in-game statistics page, which contains both **Cyrillic** and **Latin** characters. |
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It is designed to extract information such as **damage**, **K/D**, **win rate**, and other numeric indicators from game profile screenshots. |
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### 🖼 Sample Inputs |
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--- |
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### 🔧 OCR Model Info |
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- **Framework**: EasyOCR |
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- **Base**: `cyrillic_g2.pth` |
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- **Character Set**: Cyrillic + Latin |
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- **Format**: `.pth` |
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- **Trained on**: Custom annotated dataset |
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- **Purpose**: Enhanced recognition of Cyrillic text in low-resolution images with stylized fonts. |
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--- |
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### 🚀 OCR Usage Example |
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```python |
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import easyocr |
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reader = easyocr.Reader( |
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["en", "ru"], |
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model_storage_directory="models/EasyOCR_model", |
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user_network_directory="models/EasyOCR_user_network", |
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recog_network="apex_stats_detector", |
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) |
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results = reader.readtext("image.jpg") |
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print(results) |
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``` |
