mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-05 08:37:06 +08:00
[Other] Update example codes using download_model api (#486)
* update example codes using download_model api * add resource files to repo * add resource files to repo * fix * reduce unused lib * fix
This commit is contained in:
@@ -1,7 +1,9 @@
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import fastdeploy as fd
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import cv2
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import os
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import fastdeploy as fd
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import fastdeploy.utils
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def parse_arguments():
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import argparse
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@@ -9,10 +11,10 @@ def parse_arguments():
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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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default=None,
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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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"--image", default=None, 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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@@ -39,9 +41,14 @@ def build_option(args):
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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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if args.model_dir is None:
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model_dir = fd.download_model(name='ppyoloe_crn_l_300e_coco')
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else:
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model_dir = args.model_dir
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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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# 配置runtime,加载模型
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runtime_option = build_option(args)
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@@ -49,7 +56,11 @@ model = fd.vision.detection.PPYOLOE(
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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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if args.image is None:
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image = fd.utils.get_detection_test_image()
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else:
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image = args.image
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im = cv2.imread(image)
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result = model.predict(im.copy())
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print(result)
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@@ -1,15 +1,17 @@
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import fastdeploy as fd
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import cv2
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import fastdeploy as fd
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import fastdeploy.utils
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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", required=True, help="Path of yolor onnx model.")
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"--model", default=None, help="Path of yolor onnx model.")
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parser.add_argument(
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"--image", required=True, help="Path of test image file.")
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"--image", default=None, 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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@@ -39,10 +41,20 @@ args = parse_arguments()
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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.YOLOR(args.model, runtime_option=runtime_option)
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if args.model is None:
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model = fd.download_model(name='YOLOR-W6')
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else:
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model = args.model
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model = fd.vision.detection.YOLOR(model, 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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if args.image is None:
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image = fd.utils.get_detection_test_image()
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else:
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image = args.image
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im = cv2.imread(image)
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result = model.predict(im.copy())
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print(result)
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@@ -245,5 +245,6 @@ def download_model(name: str,
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except FileExistsError:
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pass
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print('Successfully download model at path: {}'.format(fullpath))
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return fullpath
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else:
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print('ERROR: Could not find a model named {}'.format(name))
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@@ -11,4 +11,6 @@
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from .profile import profile
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from .example_resource import get_detection_test_image
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24
python/fastdeploy/utils/example_resource.py
Normal file
24
python/fastdeploy/utils/example_resource.py
Normal file
@@ -0,0 +1,24 @@
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# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import fastdeploy.download as download
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import fastdeploy.utils.hub_env as hubenv
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def get_detection_test_image(path=None):
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if path is None:
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path = hubenv.RESOURCE_HOME
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fullpath = download.download(
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url='https://bj.bcebos.com/paddlehub/fastdeploy/example/detection_test_image.jpg',
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path=path)
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return fullpath
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@@ -52,3 +52,4 @@ USER_HOME = _get_user_home()
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HUB_HOME = _get_hub_home()
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MODEL_HOME = _get_sub_home('models')
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CONF_HOME = _get_sub_home('conf')
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RESOURCE_HOME = _get_sub_home('resources')
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