YOLO / model /yolo.py
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🔨 [Init] the base train code, and load yaml cfg
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import torch.nn as nn
from loguru import logger
from typing import Dict, Any
class YOLO(nn.Module):
"""
A preliminary YOLO (You Only Look Once) model class still under development.
This class is intended to define a YOLO model for object detection tasks. It is
currently not implemented and serves as a placeholder for future development.
Parameters:
model_cfg: Configuration for the YOLO model. Expected to define the layers,
parameters, and any other relevant configuration details.
"""
def __init__(self, model_cfg: Dict[str, Any]):
super(YOLO, self).__init__()
# Placeholder for initialization logic
print(model_cfg)
raise NotImplementedError("Constructor not implemented.")
def get_model(model_cfg: dict) -> YOLO:
"""Constructs and returns a model from a Dictionary configuration file.
Args:
config_file (dict): The configuration file of the model.
Returns:
YOLO: An instance of the model defined by the given configuration.
"""
model = YOLO(model_cfg)
return model