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Abschluss-Projekt/backend/data/yolox_l.py
2025-11-28 16:09:14 +01:00

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Python

#!/usr/bin/env python3
# -*- coding:utf-8 -*-
# Base configuration for YOLOX-L model
# These parameters are preserved during transfer learning from COCO
class BaseExp:
"""Base experiment configuration for YOLOX-L"""
# Model architecture (protected - always use these for yolox-l)
depth = 1.0
width = 1.0
scheduler = "yoloxwarmcos"
activation = "silu"