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# config.py
import os
import torch
import torchvision.transforms as transforms
class Config:
"""Configuration class for the Jewelry Recommender System."""
# Model settings
VECTOR_DIMENSION = 1280
INDEX_PATH = "models/jewelry_index.idx"
METADATA_PATH = "models/jewelry_metadata.pkl"
# Hardware settings
DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
# Image processing settings
IMAGE_SIZE = (640, 640)
NORMALIZATION_MEAN = [0.485, 0.456, 0.406]
NORMALIZATION_STD = [0.229, 0.224, 0.225]
# Recommendation settings
DEFAULT_NUM_RECOMMENDATIONS = 5
MAX_RECOMMENDATIONS = 20
@classmethod
def get_image_transform(cls):
"""Returns the image transformation pipeline."""
from PIL import ImageOps
return transforms.Compose([
transforms.Lambda(lambda img: ImageOps.exif_transpose(img)),
transforms.Resize(cls.IMAGE_SIZE),
transforms.ToTensor(),
transforms.Normalize(
mean=cls.NORMALIZATION_MEAN,
std=cls.NORMALIZATION_STD
)
]) |