mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2026-04-23 17:11:21 +08:00
Jason
beaa0fd190
* Add namespace for functions * Refactor PaddleDetection module * finish all the single image test * Update preprocessor.cc * fix some litte detail * add python api * Update postprocessor.cc
69 lines
1.9 KiB
Python
69 lines
1.9 KiB
Python
import fastdeploy as fd
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import cv2
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import os
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def parse_arguments():
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import argparse
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import ast
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"--model_dir",
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required=True,
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help="Path of PaddleDetection model directory")
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parser.add_argument(
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"--image", required=True, help="Path of test image file.")
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parser.add_argument(
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"--device",
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type=str,
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default='cpu',
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help="Type of inference device, support 'cpu' or 'gpu'.")
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parser.add_argument(
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"--use_trt",
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type=ast.literal_eval,
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default=False,
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help="Wether to use tensorrt.")
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return parser.parse_args()
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def build_option(args):
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option = fd.RuntimeOption()
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if args.device.lower() == "gpu":
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# option.use_gpu()
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print(
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"""GPU inference with Backend::Paddle in python has not been supported yet. \
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\nWill ignore this option.""")
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if args.use_trt:
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# TODO(qiuyanjun): may remove TRT option
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# Backend::TRT has not been supported yet.
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print(
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"""Backend::TRT has not been supported yet, will ignore this option.\
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\nPaddleDetection/MaskRCNN has only support Backend::Paddle now."""
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)
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return option
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args = parse_arguments()
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model_file = os.path.join(args.model_dir, "model.pdmodel")
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params_file = os.path.join(args.model_dir, "model.pdiparams")
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config_file = os.path.join(args.model_dir, "infer_cfg.yml")
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# 配置runtime，加载模型
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runtime_option = build_option(args)
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model = fd.vision.detection.MaskRCNN(
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model_file, params_file, config_file, runtime_option=runtime_option)
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# 预测图片检测结果
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im = cv2.imread(args.image)
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result = model.predict(im.copy())
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print(result)
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# 预测结果可视化
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vis_im = fd.vision.vis_detection(im, result, score_threshold=0.5)
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cv2.imwrite("visualized_result.jpg", vis_im)
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print("Visualized result save in ./visualized_result.jpg")
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