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@@ -48,16 +48,20 @@ logger.info(f'是否可使用GPU=======>{bl}')
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app = FastAPI()
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app = FastAPI()
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templates = Jinja2Templates(directory = 'templates')
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templates = Jinja2Templates(directory = 'templates')
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-model_selection_options = ['ocr-layout']
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+model_selection_options = ['ocr-layout', 'ocr-logo']
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model_dict = {model_name: None for model_name in model_selection_options} #set up model cache
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model_dict = {model_name: None for model_name in model_selection_options} #set up model cache
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colors = [tuple([random.randint(0, 255) for _ in range(3)]) for _ in range(100)] #for bbox plotting
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colors = [tuple([random.randint(0, 255) for _ in range(3)]) for _ in range(100)] #for bbox plotting
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if model_dict['ocr-layout'] is None:
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if model_dict['ocr-layout'] is None:
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- model_dict['ocr-layout'] = model = torch.hub.load(YOLO_DIR, 'custom', path=WEIGHTS, source='local').to(device)
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- logger.info("========>模型加载成功")
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+ model_dict['ocr-layout'] = model = torch.hub.load(YOLO_DIR, 'custom', path=WEIGHTS, source='local').to(device)
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+ logger.info("========>模型加载成功")
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+# logo检测
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+if model_dict['ocr-logo'] is None:
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+ model_dict['ocr-logo'] = torch.hub.load(YOLO_DIR, 'custom', path='/workspace/logo.pt', source='local').to(device)
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+ logger.info("========>模型加载成功")
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##############################################
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##############################################
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#-------------GET Request Routes--------------
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#-------------GET Request Routes--------------
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