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- # copyright (c) 2024 PaddlePaddle Authors. All Rights Reserve.
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- from paddlex import create_pipeline
- pipeline = create_pipeline(pipeline="vehicle_attribute_recognition")
- output = pipeline.predict(
- "./test_samples/vehicle_attribute_002.jpg", det_threshold=0.7, cls_threshold=0.7
- )
- for res in output:
- res.print() ## 打印预测的结构化输出
- res.save_to_img("./output") ## 保存结果可视化图像
- res.save_to_json("./output/") ## 保存预测的结构化输出
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