lightfield-analysis / evaluation-toolkit Goto Github PK

Traceback (most recent call last):
File "plot_metric_overview.py", line 51, in
main()
File "plot_metric_overview.py", line 47, in main
metric_overviews.plot_general_overview(algorithms+meta_algorithms, scenes, metrics)
File "/data/lf_data/synthetic/toolkit/source/toolkit/evaluations/metric_overviews.py", line 193, in plot_general_overview
colorbar_bins=metric.colorbar_bins, fontsize=fs)
File "/data/lf_data/synthetic/toolkit/source/toolkit/utils/plotting.py", line 104, in add_colorbar
plt.imshow(np.ones((height*scale, img_width)), alpha=0)
File "/usr/lib/python2.7/site-packages/numpy/core/numeric.py", line 192, in ones
a = empty(shape, dtype, order)
TypeError: 'float' object cannot be interpreted as an index

Hi,

I want to use the HCI stereo metrics for my evaluation. But I use C++ with OpenCV.
Do you know any C++ implementation of thiese metrics or do you think that I should be able to implement them swiftly on my own using the python code as a template?

How to use the scatter chart locally? I didn't find the command to generate the same.

Thanks for listening.

Excuse me, maybe this is a fool's question.
The disparity map of the light field is the disparity map of which two sub-aperture images? I can get a disparity map between images with arbitrary sub-apertures.
Why is there only one disparity map for submitting the results and the ground truth of the dataset