I am using DIGIT (4 on Ubuntu 14.04) on AWS (https://aws.amazon.com/marketplace/pp/B01LZN28VD).
After I trained an object detection model with custom data, I tried to visualize bounding boxes.
([Select Visualization Method], [Bounding boxes], and [Test One])
But I got ValueError…
ValueError
The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
Traceback (most recent call last):
File "/usr/lib/python2.7/dist-packages/flask/app.py", line 1475, in full_dispatch_request
rv = self.dispatch_request()
File "/usr/lib/python2.7/dist-packages/flask/app.py", line 1461, in dispatch_request
return self.view_functions[rule.endpoint](**req.view_args)
File "/usr/share/digits/digits/webapp.py", line 65, in decorated
return f(*args, **kwargs)
File "/usr/share/digits/digits/model/images/generic/views.py", line 343, in infer_one
outputs)
File "/usr/share/digits/digits/model/images/generic/views.py", line 592, in get_inference_visualizations
output_data)
File "/usr/share/digits/digits/extensions/view/boundingBox/view.py", line 124, in process_data
if output[-1] > 0:
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
How can I visualize?