From 43ce7908b9a9d19955ddb35a6e83da8e413dd98f Mon Sep 17 00:00:00 2001 From: Davis King Date: Wed, 1 Jan 2014 19:12:06 -0500 Subject: [PATCH] Added skeleton of fhog object detection example. --- examples/CMakeLists.txt | 1 + examples/faces/2007_007763.jpg | Bin 0 -> 89619 bytes examples/faces/2008_001009.jpg | Bin 0 -> 41770 bytes examples/faces/2008_001322.jpg | Bin 0 -> 65344 bytes examples/faces/2008_002079.jpg | Bin 0 -> 92641 bytes examples/faces/2008_002470.jpg | Bin 0 -> 91349 bytes examples/faces/2008_002506.jpg | Bin 0 -> 79316 bytes examples/faces/2008_004176.jpg | Bin 0 -> 93821 bytes examples/faces/2008_007676.jpg | Bin 0 -> 110034 bytes examples/faces/2009_004587.jpg | Bin 0 -> 79462 bytes examples/faces/image_metadata_stylesheet.xsl | 108 +++++++++++++++++ examples/faces/testing.xml | 43 +++++++ examples/faces/training.xml | 34 ++++++ examples/fhog_object_detector_ex.cpp | 116 +++++++++++++++++++ 14 files changed, 302 insertions(+) create mode 100755 examples/faces/2007_007763.jpg create mode 100755 examples/faces/2008_001009.jpg create mode 100755 examples/faces/2008_001322.jpg create mode 100755 examples/faces/2008_002079.jpg create mode 100755 examples/faces/2008_002470.jpg create mode 100755 examples/faces/2008_002506.jpg create mode 100755 examples/faces/2008_004176.jpg create mode 100755 examples/faces/2008_007676.jpg create mode 100755 examples/faces/2009_004587.jpg create mode 100644 examples/faces/image_metadata_stylesheet.xsl create mode 100644 examples/faces/testing.xml create mode 100644 examples/faces/training.xml create mode 100644 examples/fhog_object_detector_ex.cpp diff --git a/examples/CMakeLists.txt b/examples/CMakeLists.txt index 8c564c346..39ee78b1f 100644 --- a/examples/CMakeLists.txt +++ b/examples/CMakeLists.txt @@ -33,6 +33,7 @@ add_example(custom_trainer_ex) add_example(dir_nav_ex) add_example(empirical_kernel_map_ex) add_example(fhog_ex) +add_example(fhog_object_detector_ex) add_example(file_to_code_ex) 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z*qkK#dgOPdbqcd_^lMYZ6$KmR;^B0(*tMkR)c&HjU7C>*^>R|bIX` + + + + + + + 30 + + + + + + + + + + + + + Dataset name:
+ Dataset comment:


+ Number of images:
+ Number of boxes:
+
+
+ + + +

Only displaying the first images.

+
+
+ + + + + + (Number of boxes: ) +
+ + +
+ + + +
+ +
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+ + +
+ +
+ +
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+ + + + + + + diff --git a/examples/faces/testing.xml b/examples/faces/testing.xml new file mode 100644 index 000000000..48e6e491d --- /dev/null +++ b/examples/faces/testing.xml @@ -0,0 +1,43 @@ + + + +imglab dataset +Created by imglab tool. + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/examples/faces/training.xml b/examples/faces/training.xml new file mode 100644 index 000000000..950097180 --- /dev/null +++ b/examples/faces/training.xml @@ -0,0 +1,34 @@ + + + +imglab dataset +Created by imglab tool. + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/examples/fhog_object_detector_ex.cpp b/examples/fhog_object_detector_ex.cpp new file mode 100644 index 000000000..83b80bbf3 --- /dev/null +++ b/examples/fhog_object_detector_ex.cpp @@ -0,0 +1,116 @@ +// The contents of this file are in the public domain. See LICENSE_FOR_EXAMPLE_PROGRAMS.txt +/* + + This is an example illustrating the use of the dlib tools for + detecting objects in images. In this example we will create + three simple images, each containing some white squares. We + will then use the sliding window classifier tools to learn to + detect these squares. + +*/ + +#include + +#include + +#include +#include +#include +#include +#include +#include +#include + +#include +#include + + +using namespace std; +using namespace dlib; + +// ---------------------------------------------------------------------------------------- + +int main() +{ + /* + NOTES + - explain the concepts of ignore boxes + */ + + try + { + dlib::array > images, images_test; + std::vector > object_locations, object_locations_test; + + load_image_dataset(images, object_locations, "../faces/training.xml"); + upsample_image_dataset >(images, object_locations); + + load_image_dataset(images_test, object_locations_test, "../faces/testing.xml"); + upsample_image_dataset >(images_test, object_locations_test); + + + add_image_left_right_flips(images, object_locations); + + cout << "num training images: " << images.size() << endl; + cout << "num testing images: " << images_test.size() << endl; + + + typedef scan_fhog_pyramid > image_scanner_type; + image_scanner_type scanner; + + scanner.set_detection_window_size(80, 80); // faces + //scanner.set_nuclear_norm_regularization_strength(1.0); + + structural_object_detection_trainer trainer(scanner); + trainer.set_num_threads(6); // Set this to the number of processing cores on your machine. + trainer.set_c(1); + //trainer.set_c(10); + trainer.be_verbose(); + trainer.set_epsilon(0.01); + + // TODO, talk about this option + //remove_unobtainable_rectangles(trainer, images, object_locations); + + object_detector detector = trainer.train(images, object_locations); + cout << "num filters 0.0: "<< num_separable_filters(detector) << endl; + + cout << "training results 0.0: " << test_object_detection_function(detector, images, object_locations) << endl; + cout << "testing results 0.0: " << test_object_detection_function(detector, images_test, object_locations_test) << endl; + + detector = threshold_filter_singular_values(detector,0.01); + cout << "num filters 0.01: "<< num_separable_filters(detector) << endl; + cout << "testing results 0.01: " << test_object_detection_function(detector, images_test, object_locations_test) << endl; + + detector = threshold_filter_singular_values(detector,0.1); + cout << "num filters 0.1: "<< num_separable_filters(detector) << endl; + cout << "testing results 0.1: " << test_object_detection_function(detector, images_test, object_locations_test) << endl; + + + + image_window win, hogwin(draw_fhog(detector)); + for (unsigned long i = 0; i < images_test.size(); ++i) + { + std::vector dets; + TIME_THIS( + dets = detector(images_test[i]); + ); + win.clear_overlay(); + win.set_image(images_test[i]); + win.add_overlay(dets, rgb_pixel(255,0,0)); + cin.get(); + } + + + ofstream fout("face_detector.svm", ios::binary); + serialize(detector, fout); + + } + catch (exception& e) + { + cout << "\nexception thrown!" << endl; + cout << e.what() << endl; + } +} + +// ---------------------------------------------------------------------------------------- +