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