diff --git a/app/api/api_outfit_matcher.py b/app/api/api_outfit_matcher.py index 416bef6..879ffa9 100644 --- a/app/api/api_outfit_matcher.py +++ b/app/api/api_outfit_matcher.py @@ -2,7 +2,7 @@ import logging from fastapi import APIRouter -from app.service.outfit_matcher_hon.service import OutfitMatcherHon +from app.service.outfit_matcher.service import OutfitMatcherHon logger = logging.getLogger() router = APIRouter() diff --git a/app/main.py b/app/main.py index f9a4d63..d20a72f 100644 --- a/app/main.py +++ b/app/main.py @@ -18,12 +18,9 @@ def get_application() -> FastAPI: title=settings.PROJECT_NAME, docs_url="/docs", redoc_url='/re-docs', openapi_url=f"{settings.API_PREFIX}/openapi.json", description=''' - Base frame with FastAPI micro framework + Postgresql - - Login/Register with JWT - - Permission - - CRUD User - - Unit testing with Pytest - - Dockerize + Base frame with FastAPI + - out_matcher_hon API + ''' ) application.add_middleware( diff --git 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"ACCESSORY/CLIP", + "ACCESSORY/HEAD BAND", + "ACCESSORY/NECKLACE", + "ACCESSORY/SOCKS", + "ACCESSORY/EARING", + "ACCESSORY/KEYRING", + "ACCESSORY/OTHERS", + "ACCESSORY/TOY", + "ACCESSORY/HAIR CLIP", + "ACCESSORY/RING", + "ACCESSORY/SANDALS", + "ACCESSORY/SUN GLASS", + "ACCESSORY/MASK", + "ACCESSORY/Test Kit", + "ACCESSORY/MUG", + "ACCESSORY/TOWEL", + "ACCESSORY/SCARF TOP", + "ACCESSORY/SHOES", + "ACCESSORY/SWIMSUIT", + "ACCESSORY/TIE", + "BOTTOM/BOTTOM", + "BOTTOM/CAPRI", + "BOTTOM/", + "BOTTOM/COAT", + "BOTTOM/CARDIGAN", + "BOTTOM/JEANS SHORTS", + "BOTTOM/BOOTS", + "BOTTOM/JEANS", + "BOTTOM/CARPI", + "BOTTOM/JUMPSUIT", + "BOTTOM/JEANS SKIRT", + "BOTTOM/JEANS CARPI", + "BOTTOM/JACKET", + "BOTTOM/LEATHER JACKET", + "BOTTOM/LEATHER PANTS", + "BOTTOM/JEANS PANTS", + "BOTTOM/PANTS", + "BOTTOM/LEATHER SHORTS", + "BOTTOM/LEATHER SKIRT", + "BOTTOM/OVERALL", + "BOTTOM/SHORTS", + "BOTTOM/LEGGING", + "BOTTOM/UNDERWEAR", + "BOTTOM/SKIRT", + "BOTTOM/TUTA", + "BOTTOM/SANDALS", + "BOTTOM/TEE", + "BOTTOM/SHOES", + "BOTTOM/SPORTSWEAR PANTS", + "BOTTON/PANTS", + "DRESS/JEANS JACKET", + "DRESS/", + "DRESS/ONE PIECE", + "DRESS/DRESS", + "DRESS/LEATHER DRESS", + "DRESS/JEANS SKIRT", + "DRESS/OVERALL", + "DRESS/EVENING DRESS", + "DRESS/SKIRT", + "DRESS/LEATHER SKIRT", + "DRESS/JEANS DRESS", + "DRESS/SHORTS", + "DRESS/JUMPSUIT", + "DRESS/VEST", + "DRESS/SHIRT", + "DRESS/TUTA", + "FUR/DOWN COAT", + "FUR/HAT", + "FUR/FUR CAPE", + "FUR/FUR COAT", + "FUR/FUR DOWN JACKET", + "FUR/FUR GILET", + "FUR/FUR CARDIGAN", + "FUR/FUR JACKET", + "FUR/FUR HAT", + "FUR/FUR SCARF", + "FUR/FUR VEST", + "GIFT/GIFT", + "GIFT/SCARF", + "JEANS/GILET", + "JEANS/JEANS CARPI", + "JEANS/DRESS", + "JEANS/JEANS BLOUSE", + "JEANS/JEANS", + "JEANS/JEANS OVERALL", + "JEANS/JEANS BLAZER", + "JEANS/JEANS DRESS", + "JEANS/SHIRT", + "JEANS/JEANS SHORTS", + "JEANS/JEANS GILET", + "JEANS/JEANS JACKET", + "JEANS/SKIRT", + "JEANS/TWIN SET", + "JEANS/JEANS PANTS", + "JEANS/JEANS SHIRT", + "JEANS/JEANS SKIRT", + "JEANS/JEANS VEST", + "JEANS/JEANS TOP", + "JEANS/OVERALL", + "JEANS/PANTS", + "JEANS/SHORTS", + "KNIT/CARDGAIN", + "KNIT/ONE PIECE", + "KNIT/CARDIGAN", + "KNIT/BRA TOP", + "KNIT/JACKET", + "KNIT/PULLOVER", + "KNIT/DRESS", + "KNIT/CAPE", + "KNIT/KNIT TOP", + "KNIT/CARDGIAN", + "KNIT/PANTS", + "KNIT/GILET", + "KNIT/LONG TOP", + "KNIT/SKIRT", + "KNIT/SHORTS", + "KNIT/SWEATER", + "KNIT/SWEATPR", + "KNIT/VEST", + "KNIT/TANK", + "KNIT/TOP", + "KNIT/TUTA", + "KNIT/TWIN SET", + "LEATHER/BLAZER", + "LEATHER/LEATHER BLAZER", + "LEATHER/LEATHER COAT", + "LEATHER/LEATHER PANTS", + "LEATHER/HAT", + "LEATHER/LEATHER BLOUSE", + "LEATHER/LEATHER DRESS", + "LEATHER/LEATHER SHORTS", + "LEATHER/LEATHER SKIRT", + "LEATHER/LEATHER GILET", + "LEATHER/LEATHER JACKET", + "LEATHER/LEATHER VEST", + "LEATHER/LEATHERSKIRT", + "LEATHER/LEATHERSHIRT", + "LEATHER/LEATHER TOP", + "ONE PIECE/BODYSUIT", + "ONE PIECE/COMBO SET", + "ONE PIECE/BODY", + "ONE PIECE/JUMPSUIT", + "ONE PIECE/DRESS", + "ONE PIECE/OVERALL", + "ONE PIECE/SWIMSUIT", + "ONE PIECE/TWIN SET", + "OUTERWEAR/CARDIGAN", + "OUTERWEAR/BLAZER", + "OUTERWEAR/DOWN COAT", + "OUTERWEAR/", + "OUTERWEAR/DOWN JACKET", + "OUTERWEAR/COAT", + "OUTERWEAR/DOWN GILET", + "OUTERWEAR/CAPE", + "OUTERWEAR/DOWN VEST", + "OUTERWEAR/FUR JACKET", + "OUTERWEAR/FUR VEST", + "OUTERWEAR/CAPE COAT", + "OUTERWEAR/LEATHER VEST", + "OUTERWEAR/PULLOVER", + "OUTERWEAR/GILET", + "OUTERWEAR/FUR COAT", + "OUTERWEAR/QUILTED JACKET", + "OUTERWEAR/SPORTSWEAR JACKET", + "OUTERWEAR/JACKET", + "OUTERWEAR/FUR GILET", + "OUTERWEAR/SHIRT", + "OUTERWEAR/TWIN SET", + "OUTERWEAR/LEATHER GILET", + "OUTERWEAR/JEANS JACKET", + "OUTERWEAR/TRENCH COAT", + "OUTERWEAR/LEATHER COAT", + "OUTERWEAR/ONE PIECE", + "OUTERWEAR/LEATHER JACKET", + "OUTERWEAR/SCARF", + "OUTERWEAR/SOCKS", + "OUTERWEAR/TOP", + "OUTERWEAR/UNIFORM", + "OUTERWEAR/VEST", + "OUTERWEAR/WINDBREAKER", + "OUTERWEAR/WINDERBREAKER", + "OUTPRWEAR/BLAZER", + "SHOES/PUMPS", + "SHOES/BOOTS", + "SHOES/SHOES", + "SHOES/SANDALS", + "TOP/BLOUSE", + "TOP/BLAZER", + "TOP/BAR TOP", + "TOP/BRA TOP", + "TOP/CARDIGAN", + "TOP/BODY", + "TOP/COAT", + "TOP/PANTS", + "TOP/DOWN VEST", + "TOP/JACKET", + "TOP/GILET", + "TOP/TWIN SET", + "TOP/LONG SLEEVES TEE", + "TOP/LONG TOP", + "TOP/KNIT TOP", + "TOP/VEST", + "TOP/ONE PIECE", + "TOP/TANK", + "TOP/PULLOVER", + "TOP/TOP", + "TOP/OVERALL", + "TOP/UNDERWEAR", + "TOP/SKIRT", + "TOP/UNIFORM", + "TOP/SHIRT", + "TOP/SWEATER", + "TOP/TUTA", + "TOP/TEE", + "TOP/TUNIC", + "TUTA/OVERALL", + "TUTA/TWIN SET", + "TUTA/TUTA" +] \ No newline at end of file diff --git a/app/service/outfit_matcher/config/fashion_category_mapping.json b/app/service/outfit_matcher/config/fashion_category_mapping.json new file mode 100644 index 0000000..abdb4be --- /dev/null +++ b/app/service/outfit_matcher/config/fashion_category_mapping.json @@ -0,0 +1,242 @@ +{ + "ACCECSSORY/BAG": "bags", + "ACCECSSORY/HAT": "hats", + "ACCESSORY/ACCESSORY": "accessories", + "ACCESSORY/BAG": "bags", + "ACCESSORY/BELT": "accessories", + "ACCESSORY/BOOTS": "shoes", + "ACCESSORY/BANGLE": "accessories", + "ACCESSORY/COMBO SET": "accessories", + "ACCESSORY/BRACELET": "accessories", + "ACCESSORY/BRA TOP": "tops", + "ACCESSORY/BIB": "accessories", + "ACCESSORY/GIFT": "accessories", + "ACCESSORY/FESTIVAL SET": "accessories", + "ACCESSORY/CAPE": "outerwear", + "ACCESSORY/BLANKET": "accessories", + "ACCESSORY/HAIR BAND": "accessories", + "ACCESSORY/GLOVES": "accessories", + "ACCESSORY/FUR SCARF": "accessories", + "ACCESSORY/BROOCH": "accessories", + "ACCESSORY/HAT": "hats", + "ACCESSORY/HAIR CLIPS": "accessories", + "ACCESSORY/SCARF": "scarves", + "ACCESSORY/CLIP": "accessories", + "ACCESSORY/HEAD BAND": "accessories", + "ACCESSORY/NECKLACE": "jewellery", + "ACCESSORY/SOCKS": "accessories", + "ACCESSORY/EARING": "jewellery", + "ACCESSORY/KEYRING": "accessories", + "ACCESSORY/OTHERS": "accessories", + "ACCESSORY/TOY": "accessories", + "ACCESSORY/HAIR CLIP": "accessories", + "ACCESSORY/RING": "jewellery", + "ACCESSORY/SANDALS": "shoes", + "ACCESSORY/SUN GLASS": "sunglasses", + "ACCESSORY/MASK": "accessories", + "ACCESSORY/Test Kit": "accessories", + "ACCESSORY/MUG": "accessories", + "ACCESSORY/TOWEL": "accessories", + "ACCESSORY/SCARF TOP": "scarves", + "ACCESSORY/SHOES": "shoes", + "ACCESSORY/SWIMSUIT": "all-body", + "ACCESSORY/TIE": "accessories", + "BOTTOM/BOTTOM": "bottoms", + "BOTTOM/CAPRI": "bottoms", + "BOTTOM/": "bottoms", + "BOTTOM/COAT": "outerwear", + "BOTTOM/CARDIGAN": "outerwear", + "BOTTOM/JEANS SHORTS": "bottoms", + "BOTTOM/BOOTS": "shoes", + "BOTTOM/JEANS": "bottoms", + "BOTTOM/CARPI": "bottoms", + "BOTTOM/JUMPSUIT": "all-body", + "BOTTOM/JEANS SKIRT": "bottoms", + "BOTTOM/JEANS CARPI": "bottoms", + "BOTTOM/JACKET": "outerwear", + "BOTTOM/LEATHER JACKET": "outerwear", + "BOTTOM/LEATHER PANTS": "bottoms", + "BOTTOM/JEANS PANTS": "bottoms", + "BOTTOM/PANTS": "bottoms", + "BOTTOM/LEATHER SHORTS": "bottoms", + "BOTTOM/LEATHER SKIRT": "bottoms", + "BOTTOM/OVERALL": "all-body", + "BOTTOM/SHORTS": "bottoms", + "BOTTOM/LEGGING": "bottoms", + "BOTTOM/UNDERWEAR": "bottoms", + "BOTTOM/SKIRT": "bottoms", + "BOTTOM/TUTA": "all-body", + "BOTTOM/SANDALS": "shoes", + "BOTTOM/TEE": "tops", + "BOTTOM/SHOES": "shoes", + "BOTTOM/SPORTSWEAR PANTS": "bottoms", + "BOTTON/PANTS": "bottoms", + "DRESS/JEANS JACKET": "outerwear", + "DRESS/": "all-body", + "DRESS/ONE PIECE": "all-body", + "DRESS/DRESS": "all-body", + "DRESS/LEATHER DRESS": "all-body", + "DRESS/JEANS SKIRT": "bottoms", + "DRESS/OVERALL": "all-body", + "DRESS/EVENING DRESS": "all-body", + "DRESS/SKIRT": "bottoms", + "DRESS/LEATHER SKIRT": "bottoms", + "DRESS/JEANS DRESS": "all-body", + "DRESS/SHORTS": "bottoms", + "DRESS/JUMPSUIT": "all-body", + "DRESS/VEST": "tops", + "DRESS/SHIRT": "tops", + "DRESS/TUTA": "all-body", + "FUR/DOWN COAT": "outerwear", + "FUR/HAT": "hats", + "FUR/FUR CAPE": "outerwear", + "FUR/FUR COAT": "outerwear", + "FUR/FUR DOWN JACKET": "outerwear", + "FUR/FUR GILET": "outerwear", + "FUR/FUR CARDIGAN": "outerwear", + "FUR/FUR JACKET": "outerwear", + "FUR/FUR HAT": "hats", + "FUR/FUR SCARF": "accessories", + "FUR/FUR VEST": "outerwear", + "GIFT/GIFT": "accessories", + "GIFT/SCARF": "accessories", + "JEANS/GILET": "outerwear", + "JEANS/JEANS CARPI": "bottoms", + "JEANS/DRESS": "all-body", + "JEANS/JEANS BLOUSE": "tops", + "JEANS/JEANS": "bottoms", + "JEANS/JEANS OVERALL": "all-body", + "JEANS/JEANS BLAZER": "outerwear", + "JEANS/JEANS DRESS": "all-body", + "JEANS/SHIRT": "tops", + "JEANS/JEANS SHORTS": "bottoms", + "JEANS/JEANS GILET": "outerwear", + "JEANS/JEANS JACKET": "outerwear", + "JEANS/SKIRT": "bottoms", + "JEANS/TWIN SET": "all-body", + "JEANS/JEANS PANTS": "bottoms", + "JEANS/JEANS SHIRT": "tops", + "JEANS/JEANS SKIRT": "bottoms", + "JEANS/JEANS VEST": "outerwear", + "JEANS/JEANS TOP": "tops", + "JEANS/OVERALL": "all-body", + "JEANS/PANTS": "bottoms", + "JEANS/SHORTS": "bottoms", + "KNIT/CARDGAIN": "outerwear", + "KNIT/ONE PIECE": "all-body", + "KNIT/CARDIGAN": "outerwear", + "KNIT/BRA TOP": "tops", + "KNIT/JACKET": "outerwear", + "KNIT/PULLOVER": "tops", + "KNIT/DRESS": "all-body", + "KNIT/CAPE": "outerwear", + "KNIT/KNIT TOP": "tops", + "KNIT/CARDGIAN": "outerwear", + "KNIT/PANTS": "bottoms", + "KNIT/GILET": "outerwear", + "KNIT/LONG TOP": "tops", + "KNIT/SKIRT": "bottoms", + "KNIT/SHORTS": "bottoms", + "KNIT/SWEATER": "tops", + "KNIT/SWEATPR": "tops", + "KNIT/VEST": "outerwear", + "KNIT/TANK": "tops", + "KNIT/TOP": "tops", + "KNIT/TUTA": "all-body", + "KNIT/TWIN SET": "all-body", + "LEATHER/BLAZER": "outerwear", + "LEATHER/LEATHER BLAZER": "outerwear", + "LEATHER/LEATHER COAT": "outerwear", + "LEATHER/LEATHER PANTS": "bottoms", + "LEATHER/HAT": "hats", + "LEATHER/LEATHER BLOUSE": "tops", + "LEATHER/LEATHER DRESS": "all-body", + "LEATHER/LEATHER SHORTS": "bottoms", + "LEATHER/LEATHER SKIRT": "bottoms", + "LEATHER/LEATHER GILET": "outerwear", + "LEATHER/LEATHER JACKET": "outerwear", + "LEATHER/LEATHER VEST": "outerwear", + "LEATHER/LEATHERSKIRT": "bottoms", + "LEATHER/LEATHERSHIRT": "tops", + "LEATHER/LEATHER TOP": "tops", + "ONE PIECE/BODYSUIT": "all-body", + "ONE PIECE/COMBO SET": "all-body", + "ONE PIECE/BODY": "all-body", + "ONE PIECE/JUMPSUIT": "all-body", + "ONE PIECE/DRESS": "all-body", + "ONE PIECE/OVERALL": "all-body", + "ONE PIECE/SWIMSUIT": "all-body", + "ONE PIECE/TWIN SET": "all-body", + "OUTERWEAR/CARDIGAN": "outerwear", + "OUTERWEAR/BLAZER": "outerwear", + "OUTERWEAR/DOWN COAT": "outerwear", + "OUTERWEAR/": "outerwear", + "OUTERWEAR/DOWN JACKET": "outerwear", + "OUTERWEAR/COAT": "outerwear", + "OUTERWEAR/DOWN GILET": "outerwear", + "OUTERWEAR/CAPE": "outerwear", + "OUTERWEAR/DOWN VEST": "outerwear", + "OUTERWEAR/FUR JACKET": "outerwear", + "OUTERWEAR/FUR VEST": "outerwear", + "OUTERWEAR/CAPE COAT": "outerwear", + "OUTERWEAR/LEATHER VEST": "outerwear", + "OUTERWEAR/PULLOVER": "outerwear", + "OUTERWEAR/GILET": "outerwear", + "OUTERWEAR/FUR COAT": "outerwear", + "OUTERWEAR/QUILTED JACKET": "outerwear", + "OUTERWEAR/SPORTSWEAR JACKET": "outerwear", + "OUTERWEAR/JACKET": "outerwear", + "OUTERWEAR/FUR GILET": "outerwear", + "OUTERWEAR/SHIRT": "tops", + "OUTERWEAR/TWIN SET": "all-body", + "OUTERWEAR/LEATHER GILET": "outerwear", + "OUTERWEAR/JEANS JACKET": "outerwear", + "OUTERWEAR/TRENCH COAT": "outerwear", + "OUTERWEAR/LEATHER COAT": "outerwear", + "OUTERWEAR/ONE PIECE": "all-body", + "OUTERWEAR/LEATHER JACKET": "outerwear", + "OUTERWEAR/SCARF": "accessories", + "OUTERWEAR/SOCKS": "accessories", + "OUTERWEAR/TOP": "tops", + "OUTERWEAR/UNIFORM": "outerwear", + "OUTERWEAR/VEST": "outerwear", + "OUTERWEAR/WINDBREAKER": "outerwear", + "OUTERWEAR/WINDERBREAKER": "outerwear", + "OUTPRWEAR/BLAZER": "outerwear", + "SHOES/PUMPS": "shoes", + "SHOES/BOOTS": "shoes", + "SHOES/SHOES": "shoes", + "SHOES/SANDALS": "shoes", + "TOP/BLOUSE": "tops", + "TOP/BLAZER": "outerwear", + "TOP/BAR TOP": "tops", + "TOP/BRA TOP": "tops", + "TOP/CARDIGAN": "outerwear", + "TOP/BODY": "all-body", + "TOP/COAT": "outerwear", + "TOP/PANTS": "bottoms", + "TOP/DOWN VEST": "outerwear", + "TOP/JACKET": "outerwear", + "TOP/GILET": "outerwear", + "TOP/TWIN SET": "tops", + "TOP/LONG SLEEVES TEE": "tops", + "TOP/LONG TOP": "tops", + "TOP/KNIT TOP": "tops", + "TOP/VEST": "outerwear", + "TOP/ONE PIECE": "all-body", + "TOP/TANK": "tops", + "TOP/PULLOVER": "outerwear", + "TOP/TOP": "tops", + "TOP/OVERALL": "all-body", + "TOP/UNDERWEAR": "bottoms", + "TOP/SKIRT": "bottoms", + "TOP/UNIFORM": "tops", + "TOP/SHIRT": "tops", + "TOP/SWEATER": "tops", + "TOP/TUTA": "all-body", + "TOP/TEE": "tops", + "TOP/TUNIC": "tops", + "TUTA/OVERALL": "all-body", + "TUTA/TWIN SET": "all-body", + "TUTA/TUTA": "all-body" +} \ No newline at end of file diff --git a/app/service/outfit_matcher/dataset.py b/app/service/outfit_matcher/dataset.py new file mode 100644 index 0000000..4789920 --- /dev/null +++ b/app/service/outfit_matcher/dataset.py @@ -0,0 +1,140 @@ +import json +import random +import itertools +import difflib +from copy import deepcopy + + +# Helper function to calculate the edit distance similarity between two file names +def sim_score(a, b): + return difflib.SequenceMatcher(None, a, b).ratio() + + +class FashionDataset(object): + fashion_categories = json.load(open(r"config/fashion_categories.json", "r")) + fashion_categories_mapping = json.load(open(r"config/fashion_category_mapping.json", "r")) + + def __init__(self, item_metadata): + self.item_metadat = item_metadata + self.item2cate = self.get_item2cate(item_metadata) + self.cate2item = self.get_cate2item(item_metadata) + self.cate2num = {k: len(v) for k, v in self.cate2item.items()} + + # def generate_outfit(self, query_item, topk, max_outfits): + # query_item["mapped_cate"] = self.fashion_categories_mapping[query_item["semantic_category"]] + # possible_outfits = self.count_possible(query_item["mapped_cate"]) + # + # if possible_outfits < topk: + # raise ValueError(f"Cannot generate more than {topk} outfits!") + # + # outfit_list = self.get_possible_outfit(query_item) + # if possible_outfits > max_outfits: + # outfit_list = random.sample(outfit_list, max_outfits) + # return outfit_list + + def count_possible(self, given_cate): + possible = 0 + if given_cate == 'tops': + if self.cate2num['outerwear'] == 0: + possible = self.cate2num['bottoms'] + else: + possible = self.cate2num['bottoms'] * self.cate2num['outerwear'] + elif given_cate == 'bottoms': + if self.cate2num['outerwear'] == 0: + possible = self.cate2num['tops'] + else: + possible = self.cate2num['tops'] * self.cate2num['outerwear'] + elif given_cate == 'outerwear': + possible = self.cate2num['tops'] * self.cate2num['bottoms'] + self.cate2num['all-body'] + elif given_cate == 'all-body': + possible = self.cate2num['outerwear'] + return possible + + def generate_outfit(self, query_item, topk, max_outfits): + query_item["mapped_cate"] = self.fashion_categories_mapping[query_item["semantic_category"]] + given_cate = query_item["mapped_cate"] + + if given_cate == 'tops' or given_cate == "bottoms": + complementary_cate = "bottoms" if given_cate == "tops" else "tops" + # check bottom num + if not self.cate2num[complementary_cate]: + raise ValueError(f"Not enough {complementary_cate} available to generate outfits.") + + complementary_items = deepcopy(self.cate2item[complementary_cate]) + sim_scores = [sim_score(item["item_name"], query_item["item_name"]) for item in complementary_items] + outfit_list = [] + used_items = set() + + while len(outfit_list) < max_outfits: + if not complementary_items: + break + + # 根据权重从bottoms中选择一个元素 + item_index = random.choices(range(len(complementary_items)), weights=sim_scores)[0] + item = complementary_items.pop(item_index) + sim_scores.pop(item_index) + + if item["item_name"] not in used_items: + used_items.add(item["item_name"]) + outfit = [query_item, item] + outfit_list.append(tuple(outfit)) + + # 20% chance to include an outerwear + if self.cate2num['outerwear'] > 0 and random.random() < 0.2: + outerwear = random.choice(self.cate2item['outerwear']) + outfit.append(outerwear) + outfit_list.append(tuple(outfit)) + if len(outfit_list) < topk: + raise ValueError(f"Cannot generate more than {topk} outfits!") + + return outfit_list + elif given_cate == 'outerwear': + top_bottom_combination = [(x[0], x[1]) for x in + itertools.product(self.cate2item['tops'], self.cate2item['bottoms'])] + sim_scores = [sim_score(x[0]["item_name"], x[1]["item_name"]) for x in top_bottom_combination] + outfit_list = [] + used_items = set() + + while len(outfit_list) < max_outfits: + if not top_bottom_combination: + break + + # 根据权重从top bottom的组合中选择一个，根据top和bottom之间的文件名相似度选择 + top_bottom_index = random.choices(range(len(top_bottom_combination)), weights=sim_scores)[0] + top_bottom = top_bottom_combination.pop(top_bottom_index) + sim_scores.pop(top_bottom_index) + + top_name, bottom_name = top_bottom[0]["item_name"], top_bottom[1]["item_name"] + if top_name + bottom_name not in used_items: + used_items.add(top_name + bottom_name) + outfit = [query_item] + list(top_bottom) + outfit_list.append(tuple(outfit)) + + if len(outfit_list) < topk: + raise ValueError(f"Cannot generate more than {topk} outfits!") + + return outfit_list + elif given_cate == 'all-body': + outfit_list = [(query_item, x) for x in self.cate2item['outerwear']] + return outfit_list + + + def get_item2cate(self, item_metadata): + item2cate = {} + for metadata in item_metadata: + cate = metadata["semantic_category"] + mapped_cate = self.fashion_categories_mapping[cate] + item2cate[metadata["item_name"]] = mapped_cate + return item2cate + + def get_cate2item(self, item_metadata): + cate2item = {} + for metadata in item_metadata: + cate = metadata["semantic_category"] + mapped_cate = self.fashion_categories_mapping[cate] + metadata["mapped_cate"] = mapped_cate + if mapped_cate not in cate2item.keys(): + cate2item[mapped_cate] = [metadata] + else: + cate2item[mapped_cate].append(metadata) + return cate2item diff --git a/app/service/outfit_matcher_hon/foco.py b/app/service/outfit_matcher/foco.py similarity index 100% rename from app/service/outfit_matcher_hon/foco.py rename to app/service/outfit_matcher/foco.py diff --git a/app/service/outfit_matcher/outfit_evaluator.py b/app/service/outfit_matcher/outfit_evaluator.py new file mode 100644 index 0000000..538eba2 --- /dev/null +++ b/app/service/outfit_matcher/outfit_evaluator.py @@ -0,0 +1,184 @@ +import os +import requests +import json +from PIL import Image +import cv2 +import numpy as np +import tritonclient.http as httpclient +import torch + +from foco import extract_main_colors + +TRITON_IP_DEFAULT = "0.0.0.0" + + +def imnormalize(img, mean, std, to_rgb=True): + """Normalize an image with mean and std. + + Args: + img (ndarray): Image to be normalized. + mean (ndarray): The mean to be used for normalize. + std (ndarray): The std to be used for normalize. + to_rgb (bool): Whether to convert to rgb. + + Returns: + ndarray: The normalized image. + """ + img = img.copy().astype(np.float32) + assert img.dtype != np.uint8 + mean = np.float64(mean.reshape(1, -1)) + stdinv = 1 / np.float64(std.reshape(1, -1)) + if to_rgb: + cv2.cvtColor(img, cv2.COLOR_BGR2RGB, img) # inplace + cv2.subtract(img, mean, img) # inplace + cv2.multiply(img, stdinv, img) # inplace + return img + +def load_image(img_path): + if 'http' in img_path: + file = requests.get(img_path) + image = cv2.imdecode(np.fromstring(file.content, np.uint8), 1) + image = Image.fromarray(image.astype('uint8'), 'RGB') + else: + image = Image.open(img_path).convert('RGB') + return np.array(image) + + +def resize_image(img): + """ + Args: + img: ndarray (height, width, channel) + """ + resized_img = cv2.resize(img, (224, 224), dst=None, interpolation=1) + return resized_img + + +def pad_array(input_value): + """pad List of Array into same batch size + + Args: + input_value: List of numpy arrary need to be padded + + Returns: + Tensor: [batch_dim, max_dim, original_tensor_size] + """ + max_dim = max([len(x) for x in input_value]) + mask = np.zeros((len(input_value), max_dim), dtype=np.float32) + + # Pad each array + padded_arrays = [] + for i, array in enumerate(input_value): + # Compute padding amount along the pad dimension + pad_dim = max_dim - array.shape[0] + consistent_shape = array.shape[1:] + pad_widths = [(0, pad_dim)] + [(0, 0)] * len(consistent_shape) + padded_array = np.pad(array, pad_widths, mode='constant', constant_values=0) + padded_arrays.append(padded_array) + + mask[i, array.shape[0]:] = float("-inf") + + # Stack the padded arrays and change the dimension + batched_arrays = np.stack(padded_arrays, axis=0) + return batched_arrays, mask + + +def extract_color(image, img_path): + # TODO: replace to vector database + relative_path, filename = os.path.split(img_path) + basename = filename.split(".")[0] + color_file = os.path.join(r"D:\PhD_Study\trinity_client\application\outfit_matcher\color", + basename + ".npy") + if os.path.exists(color_file): + color = np.load(color_file) + else: + color = extract_main_colors(image) + np.save(color_file, color) + return color + + +def preprocess(outfits): + outfit_images = [] + outfit_colors = [] + for outfit in outfits: + images = [] + colors = [] + for item in outfit: + image = load_image(item["image_path"]) + image = resize_image(image) + normalized_image = imnormalize(image, + mean=np.array([208.32996145, 201.28227452, 198.47047691], dtype=np.float32), + std=np.array([75.48939648, 80.47423057, 82.21144189], dtype=np.float32)) + images.append(normalized_image.transpose(2, 0, 1)) + color = extract_color(image, item["image_path"]) + colors.append(color) + images = np.stack(images, axis=0) + outfit_images.append(images) # List[(items, 3, 224, 224)] + colors = np.stack(colors, axis=0) + outfit_colors.append(colors) + outfit_images, mask = pad_array(outfit_images) + outfit_colors, _ = pad_array(outfit_colors) + return outfit_images, outfit_colors, mask + + +def evaluate_outfits(outfits): + """Input outfits structure and output scores. + Args: + outfits: outfits to be evaluated. + Example: + [ + [ + { + "item_name": "MSE_57987", + "semantic_category": "BOTTOM/PANTS", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MSE_57987.jpg", + "mapped_cate": "bottoms" + }, + { + "item_name": "MPO_SP7712", + "semantic_category": "TOP/TANK", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MPO_SP7712.jpg", + "mapped_cate": "tops" + }, + { + "item_name": "MWSS27195", + "semantic_category": "OUTERWEAR/GILET", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MWSS27195.jpg", + "mapped_cate": "outerwear" + } + ], + ... + ] + Returns: + scores: List of float + """ + + # start = time.time() + image, color, mask = preprocess(outfits) + # print(start - time.time()) + client = httpclient.InferenceServerClient(url="localhost:8000") + # transformed_img = image.astype(np.float32) + # 输入集 + inputs = [ + httpclient.InferInput("input__0", image.shape, datatype="FP32"), + httpclient.InferInput("input__1", color.shape, datatype="FP32"), + httpclient.InferInput("input__2", mask.shape, datatype="FP32"), + ] + inputs[0].set_data_from_numpy(image.astype(np.float32), binary_data=True) + inputs[1].set_data_from_numpy(color.astype(np.float32), binary_data=True) + inputs[2].set_data_from_numpy(mask.astype(np.float32), binary_data=True) + # 输出集 + outputs = [ + httpclient.InferRequestedOutput("output__0", binary_data=True), + ] + results = client.infer(model_name="outfit_matcher_hon", inputs=inputs, outputs=outputs) + # 推理 + # 取结果 + scores = torch.from_numpy(results.as_numpy("output__0")) + return scores # Shape (N, 1) + + +if __name__ == '__main__': + with open("test_input.json", "r") as f: + outfits = json.load(f) + scores = evaluate_outfits(outfits) + print(scores) diff --git a/app/service/outfit_matcher_hon/service.py b/app/service/outfit_matcher/service.py similarity index 97% rename from app/service/outfit_matcher_hon/service.py rename to app/service/outfit_matcher/service.py index 85ffffc..9df1711 100644 --- a/app/service/outfit_matcher_hon/service.py +++ b/app/service/outfit_matcher/service.py @@ -5,7 +5,8 @@ import requests import cv2 import numpy as np from PIL import Image -from foco import extract_main_colors + +from app.service.outfit_matcher.foco import extract_main_colors class OutfitMatcherHon: @@ -125,7 +126,7 @@ class OutfitMatcherHon: outputs = [ httpclient.InferRequestedOutput("output__0", binary_data=True), ] - results = self.tritonclient.infer(model_name="outfit_matcher_hon", inputs=inputs, outputs=outputs) + results = self.tritonclient.infer(model_name="outfit_matcher", inputs=inputs, outputs=outputs) # 推理 # 取结果 inference_output1 = torch.from_numpy(results.as_numpy("output__0")) diff --git a/app/service/outfit_matcher/test_param/recommendation_test.json b/app/service/outfit_matcher/test_param/recommendation_test.json new file mode 100644 index 0000000..477ea5c --- /dev/null +++ b/app/service/outfit_matcher/test_param/recommendation_test.json @@ -0,0 +1,849 @@ +{ + "topk": 5, + "max_outfits": 100, + "query": [ + { + "item_name": "MKTS27047", + "semantic_category": "ONE PIECE/DRESS", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27047.jpg" + }, + { + "item_name": "MKTS27028", + "semantic_category": "OUTERWEAR/JACKET", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27028.jpg" + }, + { + "item_name": "MSE_58057", + "semantic_category": "OUTERWEAR/BLAZER", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MSE_58057.jpg" + }, + { + "item_name": "MSE_58107", + "semantic_category": "TOP/SHIRT", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MSE_58107.jpg" + }, + { + "item_name": "MSE_58495", + "semantic_category": "TOP/SHIRT", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MSE_58495.jpg" + } + ], + "database": + [ + { + "item_name": "MKTS27017", + "semantic_category": "OUTERWEAR/WINDBREAKER", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27017.jpg" + }, + { + "item_name": "MKTS27047", + "semantic_category": "ONE PIECE/DRESS", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27047.jpg" + }, + { + "item_name": "MKTS27000", + "semantic_category": "BOTTOM/PANTS", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27000.jpg" + }, + { + "item_name": "MKTS27001", + "semantic_category": "BOTTOM/SHORTS", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27001.jpg" + }, + { + "item_name": "MZOS27178", + "semantic_category": "KNIT/CARDIGAN", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MZOS27178.jpg" + }, + { + "item_name": "MZOS27179", + "semantic_category": "KNIT/KNIT TOP", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MZOS27179.jpg" + }, + { + "item_name": "MWSS27184", + "semantic_category": "TOP/TEE", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MWSS27184.jpg" + }, + { + "item_name": "MWSS27191", + "semantic_category": "OUTERWEAR/TWIN SET", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MWSS27191.jpg" + }, + { + "item_name": "MWSS27193", + "semantic_category": "OUTERWEAR/JACKET", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MWSS27193.jpg" + }, + { + "item_name": "MWSS27195", + "semantic_category": "OUTERWEAR/GILET", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MWSS27195.jpg" + }, + { + "item_name": "MWSS27200", + "semantic_category": "KNIT/VEST", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MWSS27200.jpg" + }, + { + "item_name": "MWSS27209", + "semantic_category": "ONE PIECE/DRESS", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MWSS27209.jpg" + }, + { + "item_name": "MWSS27210", + "semantic_category": "ONE PIECE/DRESS", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MWSS27210.jpg" + }, + { + "item_name": "MWSS27211", + "semantic_category": "ONE PIECE/DRESS", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MWSS27211.jpg" + }, + { + "item_name": "MWSS27212", + "semantic_category": "TOP/BLOUSE", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MWSS27212.jpg" + }, + { + "item_name": "MKTS27008", + "semantic_category": "OUTERWEAR/BLAZER", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27008.jpg" + }, + { + "item_name": "MKTS27009", + "semantic_category": "BOTTOM/PANTS", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27009.jpg" + }, + { + "item_name": "MKTS27010", + "semantic_category": "OUTERWEAR/BLAZER", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27010.jpg" + }, + { + "item_name": "MKTS27012", + "semantic_category": "OUTERWEAR/JACKET", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27012.jpg" + }, + { + "item_name": "MKTS27013", + "semantic_category": "BOTTOM/SHORTS", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27013.jpg" + }, + { + "item_name": "MKTS27014", + "semantic_category": "ONE PIECE/TWIN SET", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27014.jpg" + }, + { + "item_name": "MKTS27015", + "semantic_category": "OUTERWEAR/GILET", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27015.jpg" + }, + { + "item_name": "MKTS27016", + "semantic_category": "BOTTOM/SHORTS", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27016.jpg" + }, + { + "item_name": "MKTS27027", + "semantic_category": "BOTTOM/PANTS", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27027.jpg" + }, + { + "item_name": "MKTS27028", + "semantic_category": "OUTERWEAR/JACKET", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27028.jpg" + }, + { + "item_name": "MKTS27029", + "semantic_category": "ONE PIECE/DRESS", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27029.jpg" + }, + { + "item_name": "MKTS27030", + "semantic_category": "ONE PIECE/DRESS", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27030.jpg" + }, + { + "item_name": "MKTS27031", + "semantic_category": "BOTTOM/SKIRT", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27031.jpg" + }, + { + "item_name": "MKTS27034", + "semantic_category": "TOP/SHIRT", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27034.jpg" + }, + { + "item_name": "MKTS27035", + "semantic_category": "ONE PIECE/TWIN SET", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27035.jpg" + }, + { + "item_name": "MKTS27038", + "semantic_category": "TOP/TOP", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27038.jpg" + }, + { + "item_name": "MKTS27039", + "semantic_category": "TOP/TOP", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27039.jpg" + }, + { + "item_name": "MKTS27040", + "semantic_category": "TOP/TOP", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27040.jpg" + }, + { + "item_name": "MKTS27045", + "semantic_category": "ONE PIECE/DRESS", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27045.jpg" + }, + { + "item_name": "MKTS27046", + "semantic_category": "TOP/SHIRT", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27046.jpg" + }, + { + "item_name": "MKTS27050", + "semantic_category": "TOP/TOP", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27050.jpg" + }, + { + "item_name": "MKTS27059", + "semantic_category": "TOP/TEE", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27059.jpg" + }, + { + "item_name": "MKTS27061", + "semantic_category": "TOP/TOP", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27061.jpg" + }, + { + "item_name": "MKTS27062", + "semantic_category": "TOP/BLOUSE", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27062.jpg" + }, + { + "item_name": "MKTS27066", + "semantic_category": "ONE PIECE/DRESS", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27066.jpg" + }, + { + "item_name": "MKTS27067", + "semantic_category": "TOP/TEE", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27067.jpg" + }, + { + "item_name": "MKTS27068", + "semantic_category": "ONE PIECE/TWIN SET", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27068.jpg" + }, + { + "item_name": "MKTS27002", + "semantic_category": "TOP/BLOUSE", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27002.jpg" + }, + { + "item_name": "MKTS27003", + "semantic_category": "OUTERWEAR/GILET", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27003.jpg" + }, + { + "item_name": "MKTS27004", + "semantic_category": "BOTTOM/PANTS", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27004.jpg" + }, + { + "item_name": "MKTS27011", + "semantic_category": "TOP/VEST", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27011.jpg" + }, + { + "item_name": "MKTS27018", + "semantic_category": "TOP/SHIRT", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27018.jpg" + }, + { + "item_name": "MKTS27019", + "semantic_category": "OUTERWEAR/BLAZER", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27019.jpg" + }, + { + "item_name": "MKTS27058", + "semantic_category": "ONE PIECE/DRESS", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MKTS27058.jpg" + }, + { + "item_name": "MLSS27101", + "semantic_category": "ONE PIECE/DRESS", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MLSS27101.jpg" + }, + { + "item_name": "MLSS27102", + "semantic_category": "ONE PIECE/DRESS", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MLSS27102.jpg" + }, + { + "item_name": "MLSS27103", + "semantic_category": "OUTERWEAR/GILET", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MLSS27103.jpg" + }, + { + "item_name": "MLSS27104", + "semantic_category": "BOTTOM/SHORTS", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MLSS27104.jpg" + }, + { + "item_name": "MLSS27107", + "semantic_category": "JEANS/JEANS", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MLSS27107.jpg" + }, + { + "item_name": "MLSS27109", + "semantic_category": "JEANS/JEANS JACKET", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MLSS27109.jpg" + }, + { + "item_name": "MLSS27110", + "semantic_category": "JEANS/JEANS JACKET", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MLSS27110.jpg" + }, + { + "item_name": "MLSS27111", + "semantic_category": "JEANS/JEANS PANTS", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MLSS27111.jpg" + }, + { + "item_name": "MLSS27112", + "semantic_category": "JEANS/JEANS PANTS", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MLSS27112.jpg" + }, + { + "item_name": "MLSS27113", + "semantic_category": "ONE PIECE/DRESS", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MLSS27113.jpg" + }, + { + "item_name": "MLSS27119", + "semantic_category": "JEANS/JEANS SKIRT", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MLSS27119.jpg" + }, + { + "item_name": "MLSS27122", + "semantic_category": "ONE PIECE/DRESS", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MLSS27122.jpg" + }, + { + "item_name": "MLSS27123", + "semantic_category": "TOP/TOP", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MLSS27123.jpg" + }, + { + "item_name": "MLSS27128", + "semantic_category": "JEANS/JEANS JACKET", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MLSS27128.jpg" + }, + { + "item_name": "MLSS27129", + "semantic_category": "JEANS/JEANS SHORTS", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MLSS27129.jpg" + }, + { + "item_name": "MLSS27132", + "semantic_category": "TOP/TOP", + "image_path": "D:\\PhD_Study\\MIXI\\mitu\\image\\2024 SS\\MLSS27132.jpg" + }, + { + "item_name": 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