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https://github.com/PaddlePaddle/FastDeploy.git
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22d91a73c6
* init simple serving * simple serving is working * ppyoloe demo * Update README_CN.md * update readme * complete vision result to json
41 lines
1.1 KiB
Python
41 lines
1.1 KiB
Python
import fastdeploy as fd
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import os
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import logging
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logging.getLogger().setLevel(logging.INFO)
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# Get arguments from envrionment variables
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model_dir = os.environ.get('MODEL_DIR')
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device = os.environ.get('DEVICE', 'cpu')
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use_trt = os.environ.get('USE_TRT', False)
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# Prepare model, download from hub or use local dir
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if model_dir is None:
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model_dir = fd.download_model(name='ppyoloe_crn_l_300e_coco')
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model_file = os.path.join(model_dir, "model.pdmodel")
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params_file = os.path.join(model_dir, "model.pdiparams")
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config_file = os.path.join(model_dir, "infer_cfg.yml")
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# Setup runtime option to select hardware, backend, etc.
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option = fd.RuntimeOption()
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if device.lower() == 'gpu':
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option.use_gpu()
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if use_trt:
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option.use_trt_backend()
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option.set_trt_cache_file('ppyoloe.trt')
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# Create model instance
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model_instance = fd.vision.detection.PPYOLOE(
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model_file=model_file,
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params_file=params_file,
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config_file=config_file,
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runtime_option=option)
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# Create server, setup REST API
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app = fd.serving.SimpleServer()
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app.register(
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task_name="fd/ppyoloe",
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model_handler=fd.serving.handler.VisionModelHandler,
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predictor=model_instance)
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