无法在tensorflow中导出tflite_ssd_graph 2

Question

我使用TensorFlow对象检测API训练模型。它工作得很好，我正试图为低端设备出口。我无法使用。

导出它。

python models/research/object_detection/export_tflite_ssd_graph.py 
--input_type image_tensor 
--pipeline_config_path output/training/001/pipeline.config 
--trained_checkpoint_prefix output/training/001/ckpt-40 
--output_directory exported-models/tf_lite_inference_model add_postprocessing_op=true

显示错误。

export_tflite_ssd_graph_lib.export_tflite_graph(
File "C:Usersinspironanaconda3libsite-packagesobject_detectionexport_tflite_ssd_graph_lib.py", line 241, in export_tflite_graph
image = tf.placeholder(
File "C:Usersinspironanaconda3libsite-packagestensorflowpythonopsarray_ops.py", line 3176, in placeholder
raise RuntimeError("tf.placeholder() is not compatible with "

Answer 1

可以通过安装tf-nightly来解决。

python -m pip install tf-nightly

更多参考，请查看Issue on Tensorflow Model Repo。