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Code Issues Releases Wiki Activity

docs - revise heading levels for feature detection (images) (#6029)

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LB (Ben Johnston) 2020-05-15 18:42:37 +10:00 committed by GitHub
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docs/advanced_topics/images/feature_detection.rst
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@ -18,13 +18,10 @@ Two third-party tools are known to work with Wagtail: One based on OpenCV_ for g
.. _Rustface: https://github.com/torchbox/rustface-py/ .. _Rustface: https://github.com/torchbox/rustface-py/
OpenCV on Debian/Ubuntu OpenCV on Debian/Ubuntu
~~~~~~~~~~~~~~~~~~~~~~~ ^^^^^^^^^^^^^^^^^^^^^^^
Feature detection requires OpenCV_ which can be a bit tricky to install as it's not currently pip-installable. Feature detection requires OpenCV_ which can be a bit tricky to install as it's not currently pip-installable.
Installation options
~~~~~~~~~~~~~~~~~~~~
There is more than one way to install these components, but in each case you will need to test that both OpenCV itself *and* the Python interface have been correctly installed. There is more than one way to install these components, but in each case you will need to test that both OpenCV itself *and* the Python interface have been correctly installed.
@ -77,7 +74,7 @@ If you don't get an import error, installation has probably been successful.
Rustface Rustface
~~~~~~~~ ^^^^^^^^
Rustface_ is Python library with prebuilt wheel files provided for Linux and macOS. Although implemented in Rust it is pip-installable: Rustface_ is Python library with prebuilt wheel files provided for Linux and macOS. Although implemented in Rust it is pip-installable:
@ -88,7 +85,7 @@ Rustface_ is Python library with prebuilt wheel files provided for Linux and mac
Registering with Willow Registering with Willow
^^^^^^^^^^^^^^^^^^^^^^^ ```````````````````````
Rustface provides a plug-in that needs to be registered with Willow_. Rustface provides a plug-in that needs to be registered with Willow_.
@ -109,7 +106,7 @@ For example, in an app's AppConfig.ready_.
Cropping Cropping
^^^^^^^^ --------
The face detection algorithm produces a focal area that is tightly cropped to the face rather than the whole head. The face detection algorithm produces a focal area that is tightly cropped to the face rather than the whole head.