Grayscale images sometimes problem in calibration. #15
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When the sensor_msgs/Image is converted to its numpy `ndarray` representation, it sometimes has the shape `(n, m, 1)`. This gives an error even though it is a `sensor_msgs::image_encodings::MONO8`. The underlying algorithm only supports 2D arrays, and the images were stored as 3D objects. Error: ``` TypeError: Conversion is only valid for arrays with 1 or 2 dimensions. Argument has 3 dimensions ``` Transforming the image with a reshape if and only if it has a dimension of lenght 1 solves this problem.
Chiasung
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Oct 25, 2017
fixed my image dimension issue (refer to pull request ethz-asl#15)
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@goldbattle Can I help with this somehow? I've never seen this issue on a Ubuntu 18.04 OpenCV 3.2 setup. |
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We would need a bag which can reproduce the issue.
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@goldbattle <https://github.com/goldbattle> Can I help with this somehow?
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@goldbattle I took a look at the PR and the image conversion takes place in an early version of All subsequent versions of |
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When the sensor_msgs/Image is converted to its numpy
ndarrayrepresentation, it sometimes has the shape
(n, m, 1). This gives anerror even though it is a
sensor_msgs::image_encodings::MONO8.The underlying algorithm only supports 2D arrays, and the images were
stored as 3D objects. Error:
Transforming the image with a reshape if and only if it has a dimension
of lenght 1 solves this problem.