Traceback (most recent call last):


 "/usr/local/bin/dbt", line 11, in <module>

load_entry_point('dbt==0.7.1', 'console_scripts', 'dbt')()


 "/usr/local/Cellar/dbt/HEAD-e060aeb/libexec/lib/python3.6/site-packages/dbt/main.py", line 31, in main

handle(args)


 "/usr/local/Cellar/dbt/HEAD-e060aeb/libexec/lib/python3.6/site-packages/dbt/main.py", line 49, in handle

res = run_from_args(parsed)


 "/usr/local/Cellar/dbt/HEAD-e060aeb/libexec/lib/python3.6/site-packages/dbt/main.py", line 103, in run_from_args

result = task.run()


 "/usr/local/Cellar/dbt/HEAD-e060aeb/libexec/lib/python3.6/site-packages/dbt/task/run.py", line 18, in run

self.project, self.args)


 "/usr/local/Cellar/dbt/HEAD-e060aeb/libexec/lib/python3.6/site-packages/dbt/compilation.py", line 52, in compile_and_print_status

results.update(compiler.compile())


 "/usr/local/Cellar/dbt/HEAD-e060aeb/libexec/lib/python3.6/site-packages/dbt/compilation.py", line 546, in compile

macro_generator)


 "/usr/local/Cellar/dbt/HEAD-e060aeb/libexec/lib/python3.6/site-packages/dbt/compilation.py", line 523, in load_all_nodes

self.get_parsed_schema_tests(root_project, all_projects))


 "/usr/local/Cellar/dbt/HEAD-e060aeb/libexec/lib/python3.6/site-packages/dbt/compilation.py", line 508, in get_parsed_schema_tests

relative_dirs=project.get('source-paths', [])))


 "/usr/local/Cellar/dbt/HEAD-e060aeb/libexec/lib/python3.6/site-packages/dbt/parser.py", line 369, in load_and_parse_yml

return parse_schema_tests(result, root_project, all_projects)


 "/usr/local/Cellar/dbt/HEAD-e060aeb/libexec/lib/python3.6/site-packages/dbt/parser.py", line 259, in parse_schema_tests

for config in configs:
TypeError: 'NoneType' object is not iterable

Traceback (most recent call last):


 "e:\ImageAI-master\examples\object_detection.py", line 13, in <module>

detector.loadModel()


 "C:\ProgramData\Anaconda3\lib\site-packages\imageai\Detection\__init__.py", line 121, in loadModel

model = resnet50_retinanet(num_classes=80)


 "C:\ProgramData\Anaconda3\lib\site-packages\imageai\Detection\keras_retinanet\models\resnet.py", line 86, in resnet50_retinanet

return resnet_retinanet(num_classes=num_classes, backbone='resnet50', inputs=inputs, **kwargs)


 "C:\ProgramData\Anaconda3\lib\site-packages\imageai\Detection\keras_retinanet\models\resnet.py", line 80, in resnet_retinanet

model = retinanet.retinanet_bbox(inputs=inputs, num_classes=num_classes, backbone=resnet, **kwargs)


 "C:\ProgramData\Anaconda3\lib\site-packages\imageai\Detection\keras_retinanet\models\retinanet.py", line 347, in retinanet_bbox

model = retinanet(inputs=inputs, num_classes=num_classes, **kwargs)


 "C:\ProgramData\Anaconda3\lib\site-packages\imageai\Detection\keras_retinanet\models\retinanet.py", line 302, in retinanet

submodels = default_submodels(num_classes, anchor_parameters)


 "C:\ProgramData\Anaconda3\lib\site-packages\imageai\Detection\keras_retinanet\models\retinanet.py", line 210, in default_submodels

('regression', default_regression_model(anchor_parameters.num_anchors())),


 "C:\ProgramData\Anaconda3\lib\site-packages\imageai\Detection\keras_retinanet\models\retinanet.py", line 125, in default_regression_model

outputs = keras.layers.Reshape((-1, 4), name='pyramid_regression_reshape')(outputs)


 "C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\topology.py", line 602, in __call__

output = self.call(inputs, **kwargs)


 "C:\ProgramData\Anaconda3\lib\site-packages\keras\layers\core.py", line 391, in call

target_shape = self.compute_output_shape(input_shape)[1:]


 "C:\ProgramData\Anaconda3\lib\site-packages\keras\layers\core.py", line 376, in compute_output_shape

input_shape[1:], self.target_shape)


 "C:\ProgramData\Anaconda3\lib\site-packages\keras\layers\core.py", line 364, in _fix_unknown_dimension

original = np.prod(input_shape, dtype=int)


 "C:\ProgramData\Anaconda3\lib\site-packages\numpy\core\fromnumeric.py", line 2518, in prod

out=out, **kwargs)


 "C:\ProgramData\Anaconda3\lib\site-packages\numpy\core\_methods.py", line 35, in _prod

return umr_prod(a, axis, dtype, out, keepdims)
TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'