45 lines
2.2 KiB
Python
45 lines
2.2 KiB
Python
import logging
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import time
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from fastapi import APIRouter
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from app.schemas.outfit_matcher import OutfitMatcher
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from app.service.outfit_matcher.dataset import FashionDataset
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from app.service.outfit_matcher.outfit_evaluator import OutfitMaterTypeAware
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from app.service.utils.decorator import RunTime
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logger = logging.getLogger()
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router = APIRouter()
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@RunTime
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@router.post("outfit_matcher")
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def outfit_matcher(request_item: OutfitMatcher):
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request_item = dict(request_item)
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for i in range(len(request_item['query'])):
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request_item['query'][i] = dict(request_item['query'][i])
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for i in range(len(request_item['database'])):
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request_item['database'][i] = dict(request_item['database'][i])
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try:
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fashion_dataset = FashionDataset(request_item['database'])
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service = OutfitMaterTypeAware()
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result = []
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start_time = time.time()
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for item in request_item['query']:
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outfits = fashion_dataset.generate_outfit(item, request_item["topk"], request_item["max_outfits"])
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scores = service.get_result(outfits)
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if request_item['is_best']:
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best_outfits, best_scores = service.visualize(outfits, scores, request_item["topk"], best=True,
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# output_path=os.path.join(r"E:\workspace\outfit_matcher\2024 SS Outfit", f"{item['item_name']}_best_{param['topk']}.png")
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)
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result.append({"outfits": best_outfits, "scores": best_scores})
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else:
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bad_outfits, bad_scores = service.visualize(outfits, scores, request_item["topk"], best=False,
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# output_path=os.path.join(r"E:\workspace\outfit_matcher\2024 SS Outfit", f"{item['item_name']}_worst_{param['topk']}.png")
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)
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result.append({"outfits": bad_outfits, "scores": bad_scores})
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logger.info(f"run time is : {time.time() - start_time}")
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return {"message": "ok", "data": result}
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except Exception as e:
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return {"message": f"{e}", "data": e}
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