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Tensorflow对象检测API / ImportError：无法导入名称'keypoint_box_coder_pb2'

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我按照说明（https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/installation.md）安装了Tensorflow Object Detection API . 我在Windows 10上使用Anaconda，说明中的所有步骤似乎都完成了 .

但是当试图运行python object_detection / builders / model_builder_test.py来测试安装时，我得到：ImportError：无法导入名称'keypoint_box_coder_pb2'

我错过了什么？

（tensorflow）C：\ Users \ User \ Documents \ GitHub \ models \ research> python object_detection / builders / model_builder_test.py Traceback（最近一次调用最后一次）：文件“object_detection / builders / model_builder_test.py”，第21行，in来自object_detection.builders import model_builder文件“C：\ Users \ User \ New \ Anaconda3 \ envs \ tensorflow \ lib \ site-packages \ object_detection-0.1-py3.5.egg \ object_detection \ builders \ model_builder.py”，第18行，从object_detection.builders导入box_coder_builder文件“C：\ Users \ User \ New \ Anaconda3 \ envs \ tensorflow \ lib \ site-packages \ object_detection-0.1-py3.5.egg \ object_detection \ builders \ box_coder_builder.py”，第21行，来自object_detection.protos import box_coder_pb2文件“C：\ Users \ User \ New \ Anaconda3 \ envs \ tensorflow \ lib \ site-packages \ object_detection-0.1-py3.5.egg \ object_detection \ protos \ box_coder_pb2.py “，第17行，在ImportError中：无法导入名称'keypoint_box_coder_pb2'

python-3.x tensorflow anaconda

2 回答

  • 0

    我得到了它的工作 . 我做的是：

    我跑了：

    protoc --python_out=. .\object_detection\protos\anchor_generator.proto .\object_detection\protos\argmax_matcher.proto .\object_detection\protos\bipartite_matcher.proto .\object_detection\protos\box_coder.proto .\object_detection\protos\box_predictor.proto .\object_detection\protos\eval.proto .\object_detection\protos\faster_rcnn.proto .\object_detection\protos\faster_rcnn_box_coder.proto .\object_detection\protos\grid_anchor_generator.proto .\object_detection\protos\hyperparams.proto .\object_detection\protos\image_resizer.proto .\object_detection\protos\input_reader.proto .\object_detection\protos\keypoint_box_coder.proto .\object_detection\protos\losses.proto .\object_detection\protos\matcher.proto .\object_detection\protos\mean_stddev_box_coder.proto .\object_detection\protos\model.proto .\object_detection\protos\optimizer.proto .\object_detection\protos\pipeline.proto .\object_detection\protos\post_processing.proto .\object_detection\protos\preprocessor.proto .\object_detection\protos\region_similarity_calculator.proto .\object_detection\protos\square_box_coder.proto .\object_detection\protos\ssd.proto .\object_detection\protos\ssd_anchor_generator.proto .\object_detection\protos\string_int_label_map.proto .\object_detection\protos\train.proto

    缺少的是： .\object_detection\protos\keypoint_box_coder.proto

    然后跑了：

    python setup.py build
python setup.py install

    然后在 faster_rcnn_inception_resnet_v2_feature_extractor.py 和 faster_rcnn_resnet_v1_feature_extractor.py （在models文件夹中）更改： nets 到 research.slim.net

    冉：

    python object_detection/builders/model_builder_test.py

    拿到：

    Ran 11 tests in 0.195s

    好

    回复于
  • 1

    看起来你还没跑

    export PYTHONPATH=$PYTHONPATH:`pwd`:`pwd`/slim     # (from tensorflow/models/research folder)

    在开始测试之前在同一个终端，你呢？如果您选择了.bashrc选项，则可能需要使用 . ~/.bashrc 重新加载bshrc文件

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