我下载了这个API,并按照他们的建议使用了TensorFlow 1.15,但无论我做什么,我都一直得到这个错误信息
以下是给我错误的代码
model_name = 'ssd_mobilenet_v1_coco_2017_11_17'
detection_model = load_model(model_name)
问题的原因似乎是函数 load_model
def load_model(model_name):
base_url = 'http://download.tensorflow.org/models/object_detection/'
model_file = model_name + '.tar.gz'
model_dir = tf.keras.utils.get_file(
fname=model_name,
origin=base_url + model_file,
untar=True)
model_dir = pathlib.Path(model_dir)/"saved_model"
model = tf.saved_model.load(str(model_dir))
model = model.signatures['serving_default']
return model
所以我试着用这个页面的解决方案添加参数。运行object_detection_tutorial时出现问题 TypeError: load()缺少2个所需的位置参数。
当我应用了修复后(以我稀疏的知识),这是代码。
def load_model(model_name):
base_url = 'http://download.tensorflow.org/models/object_detection/'
model_file = model_name + '.tar.gz'
model_dir = tf.keras.utils.get_file(
fname=model_name,
origin=base_url + model_file,
untar=True)
model_dir = pathlib.Path(model_dir)/"saved_model"
model = tf.compat.v1.saved_model.load(str(model_dir),None)**#change i made**
model = model.signatures['serving_default']
return model
新的错误不断出现,如。
<ipython-input-23-e10c73a22cc9> in <module>
1 model_name = 'ssd_mobilenet_v1_coco_2017_11_17'
----> 2 detection_model = load_model(model_name)
<ipython-input-20-11f71129951a> in load_model(model_name)
9 model_dir = pathlib.Path(model_dir)/"saved_model"
10
---> 11 model = tf.compat.v1.saved_model.load(str(model_dir),None)
12 model = model.signatures['serving_default']
13
D:\Anaconda\envs\work\lib\site-packages\tensorflow_core\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 1 required positional argument: 'export_dir'
Any help is appreciated ,Thank You very much.
试试这个:-代码在tensorflow = 2.2.0中工作正常,没有任何变化。