Computing haar features #1444
Computing haar features #1444
Conversation
|
No merges on PRs, please |
|
Also, please read through this page here: http://scikit-image.org/docs/stable/contribute.html |
|
Sorry, I was a bit confused when checking out the feature branch. Thanks for the headsup, will sure follow it from the next time. And I have gone through the contribution workflow. |
spark1729
force-pushed
the
haar_feature
branch
3 times, most recently
from
3e9c8b0
to
190802e
Compare
|
https://travis-ci.org/scikit-image/scikit-image/builds/56050940 I am facing this problem. It would be great if someone could help me solve this. |
|
|
Re-running the tests
|
@spark1729 I restarted the Travis build now that #1457 is merged - that should sort the flake8 error. It doesn't look like AppVeyor can be restarted. AppVeyor had trouble cloning the repository, likely due to the ongoing DDoS against GitHub, so if we see that error sporadically we can ignore it. |
|
A rebase will be needed to clear the error. |
|
A rebase will be needed to clear the error (I think). |
| It returns the specific haar feature, evaluated in a 24*24 frame, | ||
| as a single array. | ||
|
|
||
| Input |
There was a problem hiding this comment.
Please use Numpy documentation standard https://github.com/numpy/numpy/blob/master/doc/HOWTO_DOCUMENT.rst.txt#docstring-standard
with Parameters, Returns, etc. sections
|
Hi @spark1729 could you please explain what this |
Implement Haar-like features as discussed in Issuee #1431 .