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OpenDAS
dlib
Commits
591331f9
"tests/git@developer.sourcefind.cn:renzhc/diffusers_dcu.git" did not exist on "ba4348d9a791c63b2f7e7cdc45df4629956eb8b3"
Commit
591331f9
authored
Dec 14, 2019
by
Davis King
Browse files
updated docs
parent
b0e3c360
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-1
docs/docs/main_menu.xml
docs/docs/main_menu.xml
+8
-0
docs/docs/ml.xml
docs/docs/ml.xml
+2
-0
docs/docs/release_notes.xml
docs/docs/release_notes.xml
+24
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docs/docs/main_menu.xml
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591331f9
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@@ -256,6 +256,14 @@
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@@ -256,6 +256,14 @@
<name>
Deep Learning Semantic Segmentation
</name>
<name>
Deep Learning Semantic Segmentation
</name>
<link>
dnn_semantic_segmentation_ex.cpp.html
</link>
<link>
dnn_semantic_segmentation_ex.cpp.html
</link>
</item>
</item>
<item>
<name>
Deep Learning Instance Segmentation
</name>
<link>
dnn_instance_segmentation_ex.cpp.html
</link>
</item>
<item>
<name>
Deep Learning Instance Segmentation Trainer
</name>
<link>
dnn_instance_segmentation_train_ex.cpp.html
</link>
</item>
<item>
<item>
<name>
Deep Learning Vehicle Detection
</name>
<name>
Deep Learning Vehicle Detection
</name>
<link>
dnn_mmod_find_cars_ex.cpp.html
</link>
<link>
dnn_mmod_find_cars_ex.cpp.html
</link>
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docs/docs/ml.xml
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591331f9
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@@ -541,6 +541,8 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
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@@ -541,6 +541,8 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
<example>
dnn_face_recognition_ex.cpp.html
</example>
<example>
dnn_face_recognition_ex.cpp.html
</example>
<example>
dnn_semantic_segmentation_ex.cpp.html
</example>
<example>
dnn_semantic_segmentation_ex.cpp.html
</example>
<example>
dnn_semantic_segmentation_train_ex.cpp.html
</example>
<example>
dnn_semantic_segmentation_train_ex.cpp.html
</example>
<example>
dnn_instance_segmentation_ex.cpp.html
</example>
<example>
dnn_instance_segmentation_train_ex.cpp.html
</example>
</examples>
</examples>
</component>
</component>
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docs/docs/release_notes.xml
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591331f9
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@@ -11,6 +11,29 @@
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@@ -11,6 +11,29 @@
<!-- ************************************************************************************** -->
<!-- ************************************************************************************** -->
<current>
<current>
New Features and Improvements:
- Made find_min_global() and find_max_global() much faster when using them
to optimize inexpensive functions. These tools now measure the runtime of
the objective function and automatically tune themselves to balance solver
overhead vs objective function execution time.
- Improved handling of label and ignore boxes in loss_mmod layer.
See here for more details: https://github.com/davisking/dlib/issues/1894
- Better auto-detection of build configurations on some platforms.
- Shiny new deep instance segmentation examples:
dnn_instance_segmentation_ex.cpp and dnn_instance_segmentation_train_ex.cpp.
Non-Backwards Compatible Changes:
Bug fixes:
- Fix build error in some versions of visual studio in some setups.
- Fix find_max() going into an infinite loop in some cases when a
non-differentiable function is given.
</current>
<!-- ************************************************************************************** -->
<old
name=
"19.18"
date=
"Sep 22, 2019"
>
New Features and Improvements:
New Features and Improvements:
- Make dlib.full_object_detection take list of dlib.point or dlib.points.
- Make dlib.full_object_detection take list of dlib.point or dlib.points.
- CMake scripts will automatically include the Intel MKL's iomp dll in the
- CMake scripts will automatically include the Intel MKL's iomp dll in the
...
@@ -35,7 +58,7 @@ Bug fixes:
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@@ -35,7 +58,7 @@ Bug fixes:
- Various improvements to CMake built scripts to handle unusual system configurations.
- Various improvements to CMake built scripts to handle unusual system configurations.
- Fixed bug in multi-GPU training of semantic segmentation models.
- Fixed bug in multi-GPU training of semantic segmentation models.
</
current
>
</
old
>
<!-- ************************************************************************************** -->
<!-- ************************************************************************************** -->
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