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OpenDAS
dlib
Commits
50de3da9
Commit
50de3da9
authored
Nov 02, 2017
by
Davis King
Browse files
Updated comments to reflect recent API changes.
parent
895d7874
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examples/dnn_mmod_dog_hipsterizer.cpp
examples/dnn_mmod_dog_hipsterizer.cpp
+3
-3
examples/dnn_mmod_face_detection_ex.cpp
examples/dnn_mmod_face_detection_ex.cpp
+3
-3
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examples/dnn_mmod_dog_hipsterizer.cpp
View file @
50de3da9
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@@ -24,16 +24,16 @@
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@@ -24,16 +24,16 @@
Additionally, the following training parameters were different during
Additionally, the following training parameters were different during
training: The following lines in dnn_mmod_ex.cpp were changed from
training: The following lines in dnn_mmod_ex.cpp were changed from
mmod_options options(face_boxes_train, 40
*
40);
mmod_options options(face_boxes_train, 40
,
40);
trainer.set_iterations_without_progress_threshold(300);
trainer.set_iterations_without_progress_threshold(300);
to the following when training the model used in this example:
to the following when training the model used in this example:
mmod_options options(face_boxes_train, 80
*
80);
mmod_options options(face_boxes_train, 80
,
80);
trainer.set_iterations_without_progress_threshold(8000);
trainer.set_iterations_without_progress_threshold(8000);
Also, the random_cropper was left at its default settings, So we didn't
Also, the random_cropper was left at its default settings, So we didn't
call these functions:
call these functions:
cropper.set_chip_dims(200, 200);
cropper.set_chip_dims(200, 200);
cropper.set_min_object_
height(0.2
);
cropper.set_min_object_
size(40,40
);
The training data used to create the model is also available at
The training data used to create the model is also available at
http://dlib.net/files/data/CU_dogs_fully_labeled.tar.gz
http://dlib.net/files/data/CU_dogs_fully_labeled.tar.gz
...
...
examples/dnn_mmod_face_detection_ex.cpp
View file @
50de3da9
...
@@ -26,16 +26,16 @@
...
@@ -26,16 +26,16 @@
Additionally, the following training parameters were different during
Additionally, the following training parameters were different during
training: The following lines in dnn_mmod_ex.cpp were changed from
training: The following lines in dnn_mmod_ex.cpp were changed from
mmod_options options(face_boxes_train, 40
*
40);
mmod_options options(face_boxes_train, 40
,
40);
trainer.set_iterations_without_progress_threshold(300);
trainer.set_iterations_without_progress_threshold(300);
to the following when training the model used in this example:
to the following when training the model used in this example:
mmod_options options(face_boxes_train, 80
*
80);
mmod_options options(face_boxes_train, 80
,
80);
trainer.set_iterations_without_progress_threshold(8000);
trainer.set_iterations_without_progress_threshold(8000);
Also, the random_cropper was left at its default settings, So we didn't
Also, the random_cropper was left at its default settings, So we didn't
call these functions:
call these functions:
cropper.set_chip_dims(200, 200);
cropper.set_chip_dims(200, 200);
cropper.set_min_object_
height(0.2
);
cropper.set_min_object_
size(40,40
);
The training data used to create the model is also available at
The training data used to create the model is also available at
http://dlib.net/files/data/dlib_face_detection_dataset-2016-09-30.tar.gz
http://dlib.net/files/data/dlib_face_detection_dataset-2016-09-30.tar.gz
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