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updated docs

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Davis King 2019-03-10 10:48:53 -04:00
parent 533e7a3740
commit 55d5750286
3 changed files with 16 additions and 11 deletions
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6
docs/docs/compile.xml
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@ -16,7 +16,7 @@
work. </p>
<p>Also note that various optional features like GUI support (e.g.
dlib.image_window) and CUDA acceleration will be either enabled or
dlib.image_window) and CUDA acceleration will be automatically enabled or
disabled based on what is available on your computer. When you run
the install command it will print messages telling you what it is
using. Read those messages and take appropriate action if you
@ -50,7 +50,7 @@ cd build
cmake ..
cmake --build . --config Release
</code_box>
Note that you also need to have a C++11 compiler installed on your system. There are free C++11 compilers
Note that you need to have a C++11 compiler installed on your system. There are free C++11 compilers
for most operating systems. For example, Visual Studio is free on Windows and GCC is free and
works well on Mac OS X and Linux systems. If you have multiple compilers/IDEs installed then you can
tell CMake which one you want it to use via the -G option.
@ -198,7 +198,7 @@ sudo apt-get install libx11-dev
To summarize, if you don't understand what the above paragraphs are talking
about then you absolutely should not be installing dlib as a precompiled library
in Visual Studio. Instead, go to the top of this page and read the instructions
there. Follow those instructions, it's super easy.
there. Follow those instructions, it's super easy and will Just Work.
</p>
<br/>

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docs/docs/faq.xml
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@ -99,6 +99,11 @@
</p>
</question>
<question text="How do I install/compile dlib?">
Follow the <a href="compile.html">official instructions</a>.
They tell you <b>exactly what to type</b> to use dlib.
</question>
<question text="It doesn't work?">
Do not post a question like "I'm using dlib, and it doesn't work?" or
"I'm using the object detector and it doesn't work, what do I do?".

16
docs/docs/release_notes.xml
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@ -12,16 +12,16 @@
<current>
New Features and Improvements:
- Added weighted labels to loss_binary_log layer
- Added padding argument support for Python compute_face_descriptor methods
- Added pointwise_divide function
- Added U-net style skip connections to the semantic-segmentation example
- Added weighted labels to loss_binary_log layer.
- Added padding option to Python compute_face_descriptor() methods.
- Added pointwise_divide function.
- Added U-net style skip connections to the semantic-segmentation example.
- Exposed dlib::chinese_whispers() directly in Python API.
- Added python api that generates desciptor(s) from the aligned image(s)
- Added support for CUDA 10.1
- Added python api that generates desciptor(s) from the aligned image(s).
- Added support for CUDA 10.1.
- Dlib's python install process always automatically enables all supported features.
So --yes &lt;option&gt; was removed as it would do nothing.
- Added --box-images to imglab
So --yes &lt;option&gt; was removed as it does nothing.
- Added --box-images to imglab.
Non-Backwards Compatible Changes: