我正在尝试从tensorflow / models中提供的export_inference_graph.py脚本将trained_checkpoint转换为最终冻结的模型,但是会出现以下错误。是的,我已经将$ PYTHONPATH设置为“ models / slim”,但是仍然出现此错误,有人可以帮我吗?
$ echo $PYTHONPATH
:/home/ishara/tensorflow_models/models:/home/ishara/tensorflow_models/models/slim
*****************************问题******************** ****************************************************** ******
$sudo python3 object_detection/export_inference_graph.py --input_type image_tensor --pipeline_config_path = "ssd_inception_v2_pets.config" --trained_checkpoint_prefix="output/model.ckpt-78543" --output_directory="birds_inference_graph.pb"
Traceback (most recent call last):
File "object_detection/export_inference_graph.py", line 74, in <module>
from object_detection import exporter
File "/usr/local/lib/python3.5/dist-packages/object_detection-0.1-py3.5.egg/object_detection/exporter.py", line 28, in <module>
File "/usr/local/lib/python3.5/dist-packages/object_detection-0.1-py3.5.egg/object_detection/builders/model_builder.py", line 30, in <module>
File "/usr/local/lib/python3.5/dist-packages/object_detection-0.1-py3.5.egg/object_detection/models/faster_rcnn_inception_resnet_v2_feature_extractor.py", line 28, in <module>
ImportError: No module named 'nets'
我已经为此苦苦挣扎了几天,尝试了许多解决方案,但无济于事。我正在使用带有tensorflow-gpu版本的Ubuntu 16.04。
在https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/installation.md上查看Protobuf编译并正确设置PYTHONPATH,这就是我为Windows解决的方法
对于Windows:
步骤1: protoc object_detection/protos/*.proto --python_out=.
第2步:
set PYTHONPATH= <Path to 'research' Directory> ; <Path to 'slim' Directory>
例如:
set PYTHONPATH=C:\Users\Guy\Desktop\models\research;C:\Users\Guy\Desktop\models\research\slim
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我来说两句