tensorflow / tensorflow/models

object_detection_tutorial :detection wrong!!

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@pkulzc is already working on this.

Since Jun 19, 2020.

models:research:odapi type:support
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Description

when i run ::
model_name = 'ssd_mobilenet_v1_coco_2017_11_17'
detection_model = load_model(model_name)

amazing thing happens!(and i do not knew how to deal with it..):

WARNING:tensorflow:From :11: load (from tensorflow.python.saved_model.loader_impl) is deprecated and will be removed in a future version.
Instructions for updating:
This function will only be available through the v1 compatibility library as tf.compat.v1.saved_model.loader.load or tf.compat.v1.saved_model.load. There will be a new function for importing SavedModels in Tensorflow 2.0.

TypeError Traceback (most recent call last)
in
1 model_name = 'ssd_mobilenet_v1_coco_2017_11_17'
----> 2 detection_model = load_model(model_name)

in load_model(model_name)
9 model_dir = pathlib.Path(model_dir)/"saved_model"
10
---> 11 model = tf.saved_model.load(str(model_dir))
12 model = model.signatures['serving_default']
13

~/.local/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py in new_func(*args, **kwargs)
322 'in a future version' if date is None else ('after %s' % date),
323 instructions)
--> 324 return func(*args, **kwargs)
325 return tf_decorator.make_decorator(
326 func, new_func, 'deprecated',

TypeError: load() missing 2 required positional arguments: 'tags' and 'export_dir'

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