metadata
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:
- 📄 OCR Model (EasyOCR) — for extracting Cyrillic stats text from Apex Legends profile screenshots
- 🧠 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
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)