mirror of
https://github.com/davisking/dlib.git
synced 2024-11-01 10:14:53 +08:00
debug test path
This commit is contained in:
Adrià Arrufat
parent
e532993364
commit
6d5b4e7a1f
1
.github/workflows/ubuntu.yml
vendored
1
.github/workflows/ubuntu.yml
vendored
@ -124,6 +124,7 @@ jobs:
|
||||
- name: Build tests
|
||||
working-directory: ${{ github.workspace }}/test
|
||||
run: |
|
||||
echo `pwd`
|
||||
cmake . -B ${{ env.build_dir }} -DCMAKE_BUILD_TYPE=${{ env.config }} -G Ninja
|
||||
cmake --build .
|
||||
|
||||
|
||||
@ -17,147 +17,147 @@ add_subdirectory(.. dlib_build)
|
||||
# This variable contains a list of all the tests we are building
|
||||
# into the regression test suite.
|
||||
set (tests
|
||||
example.cpp
|
||||
active_learning.cpp
|
||||
any.cpp
|
||||
any_function.cpp
|
||||
array2d.cpp
|
||||
array.cpp
|
||||
assignment_learning.cpp
|
||||
base64.cpp
|
||||
bayes_nets.cpp
|
||||
bigint.cpp
|
||||
binary_search_tree_kernel_1a.cpp
|
||||
binary_search_tree_kernel_2a.cpp
|
||||
binary_search_tree_mm1.cpp
|
||||
binary_search_tree_mm2.cpp
|
||||
bridge.cpp
|
||||
bsp.cpp
|
||||
byte_orderer.cpp
|
||||
cca.cpp
|
||||
clustering.cpp
|
||||
cmd_line_parser.cpp
|
||||
cmd_line_parser_wchar_t.cpp
|
||||
compress_stream.cpp
|
||||
conditioning_class_c.cpp
|
||||
conditioning_class.cpp
|
||||
config_reader.cpp
|
||||
correlation_tracker.cpp
|
||||
crc32.cpp
|
||||
create_iris_datafile.cpp
|
||||
data_io.cpp
|
||||
directed_graph.cpp
|
||||
discriminant_pca.cpp
|
||||
disjoint_subsets.cpp
|
||||
disjoint_subsets_sized.cpp
|
||||
ekm_and_lisf.cpp
|
||||
empirical_kernel_map.cpp
|
||||
entropy_coder.cpp
|
||||
entropy_encoder_model.cpp
|
||||
example_args.cpp
|
||||
face.cpp
|
||||
fft.cpp
|
||||
fhog.cpp
|
||||
filtering.cpp
|
||||
find_max_factor_graph_nmplp.cpp
|
||||
find_max_factor_graph_viterbi.cpp
|
||||
geometry.cpp
|
||||
graph.cpp
|
||||
graph_cuts.cpp
|
||||
graph_labeler.cpp
|
||||
hash.cpp
|
||||
hash_map.cpp
|
||||
hash_set.cpp
|
||||
hash_table.cpp
|
||||
hog_image.cpp
|
||||
image.cpp
|
||||
iosockstream.cpp
|
||||
is_same_object.cpp
|
||||
isotonic_regression.cpp
|
||||
kcentroid.cpp
|
||||
kernel_matrix.cpp
|
||||
kmeans.cpp
|
||||
learning_to_track.cpp
|
||||
least_squares.cpp
|
||||
linear_manifold_regularizer.cpp
|
||||
lspi.cpp
|
||||
lz77_buffer.cpp
|
||||
map.cpp
|
||||
matrix2.cpp
|
||||
matrix3.cpp
|
||||
matrix4.cpp
|
||||
matrix_chol.cpp
|
||||
matrix.cpp
|
||||
matrix_eig.cpp
|
||||
matrix_lu.cpp
|
||||
matrix_qr.cpp
|
||||
max_cost_assignment.cpp
|
||||
max_sum_submatrix.cpp
|
||||
md5.cpp
|
||||
member_function_pointer.cpp
|
||||
metaprogramming.cpp
|
||||
mpc.cpp
|
||||
multithreaded_object.cpp
|
||||
numerical_integration.cpp
|
||||
object_detector.cpp
|
||||
oca.cpp
|
||||
one_vs_all_trainer.cpp
|
||||
one_vs_one_trainer.cpp
|
||||
optimization.cpp
|
||||
optimization_test_functions.cpp
|
||||
global_optimization.cpp
|
||||
opt_qp_solver.cpp
|
||||
parallel_for.cpp
|
||||
parse.cpp
|
||||
pipe.cpp
|
||||
pixel.cpp
|
||||
probabilistic.cpp
|
||||
pyramid_down.cpp
|
||||
queue.cpp
|
||||
rand.cpp
|
||||
ranking.cpp
|
||||
read_write_mutex.cpp
|
||||
reference_counter.cpp
|
||||
rls.cpp
|
||||
random_forest.cpp
|
||||
sammon.cpp
|
||||
scan_image.cpp
|
||||
sequence.cpp
|
||||
sequence_labeler.cpp
|
||||
sequence_segmenter.cpp
|
||||
serialize.cpp
|
||||
set.cpp
|
||||
sldf.cpp
|
||||
sliding_buffer.cpp
|
||||
sockets2.cpp
|
||||
sockets.cpp
|
||||
sockstreambuf.cpp
|
||||
sparse_vector.cpp
|
||||
stack.cpp
|
||||
static_map.cpp
|
||||
static_set.cpp
|
||||
statistics.cpp
|
||||
std_vector_c.cpp
|
||||
string.cpp
|
||||
svm_c_linear.cpp
|
||||
svm_c_linear_dcd.cpp
|
||||
svm.cpp
|
||||
svm_multiclass_linear.cpp
|
||||
svm_struct.cpp
|
||||
svr_linear_trainer.cpp
|
||||
symmetric_matrix_cache.cpp
|
||||
thread_pool.cpp
|
||||
threads.cpp
|
||||
timer.cpp
|
||||
tokenizer.cpp
|
||||
trust_region.cpp
|
||||
tuple.cpp
|
||||
type_safe_union.cpp
|
||||
vectorstream.cpp
|
||||
# example.cpp
|
||||
# active_learning.cpp
|
||||
# any.cpp
|
||||
# any_function.cpp
|
||||
# array2d.cpp
|
||||
# array.cpp
|
||||
# assignment_learning.cpp
|
||||
# base64.cpp
|
||||
# bayes_nets.cpp
|
||||
# bigint.cpp
|
||||
# binary_search_tree_kernel_1a.cpp
|
||||
# binary_search_tree_kernel_2a.cpp
|
||||
# binary_search_tree_mm1.cpp
|
||||
# binary_search_tree_mm2.cpp
|
||||
# bridge.cpp
|
||||
# bsp.cpp
|
||||
# byte_orderer.cpp
|
||||
# cca.cpp
|
||||
# clustering.cpp
|
||||
# cmd_line_parser.cpp
|
||||
# cmd_line_parser_wchar_t.cpp
|
||||
# compress_stream.cpp
|
||||
# conditioning_class_c.cpp
|
||||
# conditioning_class.cpp
|
||||
# config_reader.cpp
|
||||
# correlation_tracker.cpp
|
||||
# crc32.cpp
|
||||
# create_iris_datafile.cpp
|
||||
# data_io.cpp
|
||||
# directed_graph.cpp
|
||||
# discriminant_pca.cpp
|
||||
# disjoint_subsets.cpp
|
||||
# disjoint_subsets_sized.cpp
|
||||
# ekm_and_lisf.cpp
|
||||
# empirical_kernel_map.cpp
|
||||
# entropy_coder.cpp
|
||||
# entropy_encoder_model.cpp
|
||||
# example_args.cpp
|
||||
# face.cpp
|
||||
# fft.cpp
|
||||
# fhog.cpp
|
||||
# filtering.cpp
|
||||
# find_max_factor_graph_nmplp.cpp
|
||||
# find_max_factor_graph_viterbi.cpp
|
||||
# geometry.cpp
|
||||
# graph.cpp
|
||||
# graph_cuts.cpp
|
||||
# graph_labeler.cpp
|
||||
# hash.cpp
|
||||
# hash_map.cpp
|
||||
# hash_set.cpp
|
||||
# hash_table.cpp
|
||||
# hog_image.cpp
|
||||
# image.cpp
|
||||
# iosockstream.cpp
|
||||
# is_same_object.cpp
|
||||
# isotonic_regression.cpp
|
||||
# kcentroid.cpp
|
||||
# kernel_matrix.cpp
|
||||
# kmeans.cpp
|
||||
# learning_to_track.cpp
|
||||
# least_squares.cpp
|
||||
# linear_manifold_regularizer.cpp
|
||||
# lspi.cpp
|
||||
# lz77_buffer.cpp
|
||||
# map.cpp
|
||||
# matrix2.cpp
|
||||
# matrix3.cpp
|
||||
# matrix4.cpp
|
||||
# matrix_chol.cpp
|
||||
# matrix.cpp
|
||||
# matrix_eig.cpp
|
||||
# matrix_lu.cpp
|
||||
# matrix_qr.cpp
|
||||
# max_cost_assignment.cpp
|
||||
# max_sum_submatrix.cpp
|
||||
# md5.cpp
|
||||
# member_function_pointer.cpp
|
||||
# metaprogramming.cpp
|
||||
# mpc.cpp
|
||||
# multithreaded_object.cpp
|
||||
# numerical_integration.cpp
|
||||
# object_detector.cpp
|
||||
# oca.cpp
|
||||
# one_vs_all_trainer.cpp
|
||||
# one_vs_one_trainer.cpp
|
||||
# optimization.cpp
|
||||
# optimization_test_functions.cpp
|
||||
# global_optimization.cpp
|
||||
# opt_qp_solver.cpp
|
||||
# parallel_for.cpp
|
||||
# parse.cpp
|
||||
# pipe.cpp
|
||||
# pixel.cpp
|
||||
# probabilistic.cpp
|
||||
# pyramid_down.cpp
|
||||
# queue.cpp
|
||||
# rand.cpp
|
||||
# ranking.cpp
|
||||
# read_write_mutex.cpp
|
||||
# reference_counter.cpp
|
||||
# rls.cpp
|
||||
# random_forest.cpp
|
||||
# sammon.cpp
|
||||
# scan_image.cpp
|
||||
# sequence.cpp
|
||||
# sequence_labeler.cpp
|
||||
# sequence_segmenter.cpp
|
||||
# serialize.cpp
|
||||
# set.cpp
|
||||
# sldf.cpp
|
||||
# sliding_buffer.cpp
|
||||
# sockets2.cpp
|
||||
# sockets.cpp
|
||||
# sockstreambuf.cpp
|
||||
# sparse_vector.cpp
|
||||
# stack.cpp
|
||||
# static_map.cpp
|
||||
# static_set.cpp
|
||||
# statistics.cpp
|
||||
# std_vector_c.cpp
|
||||
# string.cpp
|
||||
# svm_c_linear.cpp
|
||||
# svm_c_linear_dcd.cpp
|
||||
# svm.cpp
|
||||
# svm_multiclass_linear.cpp
|
||||
# svm_struct.cpp
|
||||
# svr_linear_trainer.cpp
|
||||
# symmetric_matrix_cache.cpp
|
||||
# thread_pool.cpp
|
||||
# threads.cpp
|
||||
# timer.cpp
|
||||
# tokenizer.cpp
|
||||
# trust_region.cpp
|
||||
# tuple.cpp
|
||||
# type_safe_union.cpp
|
||||
# vectorstream.cpp
|
||||
dnn.cpp
|
||||
cublas.cpp
|
||||
find_optimal_parameters.cpp
|
||||
elastic_net.cpp
|
||||
# cublas.cpp
|
||||
# find_optimal_parameters.cpp
|
||||
# elastic_net.cpp
|
||||
)
|
||||
|
||||
|
||||
@ -170,7 +170,7 @@ if (CMAKE_COMPILER_IS_GNUCXX)
|
||||
add_definitions("-W -Wall")
|
||||
# I don't care about unused testing functions though. I like to keep them
|
||||
# around. Don't warn about it.
|
||||
add_definitions("-Wno-unused-function")
|
||||
add_definitions("-Wno-unused-function -Wno-deprecated-copy -fdiagnostics-color=always")
|
||||
endif()
|
||||
|
||||
|
||||
|
||||
@ -36,6 +36,7 @@ cmake_minimum_required(VERSION 2.8.12)
|
||||
# Every project needs a name. We call this the "examples" project.
|
||||
project(examples)
|
||||
|
||||
add_compile_options (-fdiagnostics-color=always)
|
||||
|
||||
# Tell cmake we will need dlib. This command will pull in dlib and compile it
|
||||
# into your project. Note that you don't need to compile or install dlib. All
|
||||
@ -60,10 +61,10 @@ add_subdirectory(../dlib dlib_build)
|
||||
# are going to compile one of the dlib example programs which has only one .cpp
|
||||
# file, assignment_learning_ex.cpp. If your program consisted of multiple .cpp
|
||||
# files you would simply list them here in the add_executable() statement.
|
||||
add_executable(assignment_learning_ex assignment_learning_ex.cpp)
|
||||
# add_executable(assignment_learning_ex assignment_learning_ex.cpp)
|
||||
# Finally, you need to tell CMake that this program, assignment_learning_ex,
|
||||
# depends on dlib. You do that with this statement:
|
||||
target_link_libraries(assignment_learning_ex dlib::dlib)
|
||||
# target_link_libraries(assignment_learning_ex dlib::dlib)
|
||||
|
||||
|
||||
|
||||
@ -134,132 +135,135 @@ endmacro()
|
||||
# like this:
|
||||
# cmake .. -G "Visual Studio 14 2015 Win64" -T host=x64
|
||||
if (NOT USING_OLD_VISUAL_STUDIO_COMPILER)
|
||||
add_example(dnn_metric_learning_ex)
|
||||
add_gui_example(dnn_face_recognition_ex)
|
||||
# add_example(dnn_metric_learning_ex)
|
||||
# add_gui_example(dnn_face_recognition_ex)
|
||||
add_example(dnn_introduction_ex)
|
||||
add_example(dnn_introduction2_ex)
|
||||
add_example(dnn_introduction3_ex)
|
||||
add_example(dnn_inception_ex)
|
||||
add_gui_example(dnn_mmod_ex)
|
||||
add_gui_example(dnn_mmod_face_detection_ex)
|
||||
add_gui_example(random_cropper_ex)
|
||||
add_gui_example(dnn_mmod_dog_hipsterizer)
|
||||
# add_example(dnn_introduction2_ex)
|
||||
# add_example(dnn_introduction3_ex)
|
||||
# add_example(dnn_inception_ex)
|
||||
# add_gui_example(dnn_mmod_ex)
|
||||
# add_gui_example(dnn_mmod_face_detection_ex)
|
||||
# add_gui_example(random_cropper_ex)
|
||||
# add_gui_example(dnn_mmod_dog_hipsterizer)
|
||||
add_gui_example(dnn_imagenet_ex)
|
||||
add_gui_example(dnn_mmod_find_cars_ex)
|
||||
add_gui_example(dnn_mmod_find_cars2_ex)
|
||||
add_example(dnn_mmod_train_find_cars_ex)
|
||||
add_gui_example(dnn_semantic_segmentation_ex)
|
||||
add_gui_example(dnn_instance_segmentation_ex)
|
||||
add_example(dnn_imagenet_train_ex)
|
||||
add_example(dnn_semantic_segmentation_train_ex)
|
||||
add_example(dnn_instance_segmentation_train_ex)
|
||||
add_example(dnn_metric_learning_on_images_ex)
|
||||
add_gui_example(dnn_dcgan_train_ex)
|
||||
# add_gui_example(dnn_mmod_find_cars_ex)
|
||||
# add_gui_example(dnn_mmod_find_cars2_ex)
|
||||
# add_example(dnn_mmod_train_find_cars_ex)
|
||||
# add_gui_example(dnn_semantic_segmentation_ex)
|
||||
# add_gui_example(dnn_instance_segmentation_ex)
|
||||
# add_example(dnn_imagenet_train_ex)
|
||||
# add_example(dnn_semantic_segmentation_train_ex)
|
||||
# add_example(dnn_instance_segmentation_train_ex)
|
||||
# add_example(dnn_metric_learning_on_images_ex)
|
||||
# add_gui_example(dnn_dcgan_train_ex)
|
||||
# add_gui_example(dnn_neural_style_transfer_ex)
|
||||
endif()
|
||||
|
||||
|
||||
if (DLIB_NO_GUI_SUPPORT)
|
||||
message("No GUI support, so we won't build the webcam_face_pose_ex example.")
|
||||
else()
|
||||
find_package(OpenCV QUIET)
|
||||
if (OpenCV_FOUND)
|
||||
include_directories(${OpenCV_INCLUDE_DIRS})
|
||||
# if (DLIB_NO_GUI_SUPPORT)
|
||||
# message("No GUI support, so we won't build the webcam_face_pose_ex example.")
|
||||
# else()
|
||||
# find_package(OpenCV QUIET)
|
||||
# if (OpenCV_FOUND)
|
||||
# include_directories(${OpenCV_INCLUDE_DIRS})
|
||||
|
||||
add_executable(webcam_face_pose_ex webcam_face_pose_ex.cpp)
|
||||
target_link_libraries(webcam_face_pose_ex dlib::dlib ${OpenCV_LIBS} )
|
||||
else()
|
||||
message("OpenCV not found, so we won't build the webcam_face_pose_ex example.")
|
||||
endif()
|
||||
endif()
|
||||
# add_executable(webcam_face_pose_ex webcam_face_pose_ex.cpp)
|
||||
# target_link_libraries(webcam_face_pose_ex dlib::dlib ${OpenCV_LIBS} )
|
||||
# else()
|
||||
# message("OpenCV not found, so we won't build the webcam_face_pose_ex example.")
|
||||
# endif()
|
||||
# endif()
|
||||
|
||||
|
||||
|
||||
#here we apply our macros
|
||||
add_gui_example(3d_point_cloud_ex)
|
||||
add_example(bayes_net_ex)
|
||||
add_example(bayes_net_from_disk_ex)
|
||||
add_gui_example(bayes_net_gui_ex)
|
||||
add_example(bridge_ex)
|
||||
add_example(bsp_ex)
|
||||
add_example(compress_stream_ex)
|
||||
add_example(config_reader_ex)
|
||||
add_example(custom_trainer_ex)
|
||||
add_example(dir_nav_ex)
|
||||
add_example(empirical_kernel_map_ex)
|
||||
add_gui_example(face_detection_ex)
|
||||
add_gui_example(face_landmark_detection_ex)
|
||||
add_gui_example(fhog_ex)
|
||||
add_gui_example(fhog_object_detector_ex)
|
||||
add_example(file_to_code_ex)
|
||||
add_example(graph_labeling_ex)
|
||||
# #here we apply our macros
|
||||
# add_gui_example(3d_point_cloud_ex)
|
||||
# add_example(bayes_net_ex)
|
||||
# add_example(bayes_net_from_disk_ex)
|
||||
# add_gui_example(bayes_net_gui_ex)
|
||||
# add_example(bridge_ex)
|
||||
# add_example(bsp_ex)
|
||||
# add_example(compress_stream_ex)
|
||||
# add_example(config_reader_ex)
|
||||
# add_example(custom_trainer_ex)
|
||||
# add_example(dir_nav_ex)
|
||||
# add_example(empirical_kernel_map_ex)
|
||||
# add_gui_example(face_detection_ex)
|
||||
# add_gui_example(face_landmark_detection_ex)
|
||||
# add_gui_example(fhog_ex)
|
||||
# add_gui_example(fhog_object_detector_ex)
|
||||
# add_example(file_to_code_ex)
|
||||
# add_example(graph_labeling_ex)
|
||||
add_gui_example(gui_api_ex)
|
||||
add_gui_example(hough_transform_ex)
|
||||
add_gui_example(image_ex)
|
||||
add_example(integrate_function_adapt_simp_ex)
|
||||
add_example(iosockstream_ex)
|
||||
add_example(kcentroid_ex)
|
||||
add_example(kkmeans_ex)
|
||||
add_example(krls_ex)
|
||||
add_example(krls_filter_ex)
|
||||
add_example(krr_classification_ex)
|
||||
add_example(krr_regression_ex)
|
||||
add_example(learning_to_track_ex)
|
||||
add_example(least_squares_ex)
|
||||
add_example(linear_manifold_regularizer_ex)
|
||||
add_example(logger_custom_output_ex)
|
||||
add_example(logger_ex)
|
||||
add_example(logger_ex_2)
|
||||
add_example(matrix_ex)
|
||||
add_example(matrix_expressions_ex)
|
||||
add_example(max_cost_assignment_ex)
|
||||
add_example(member_function_pointer_ex)
|
||||
add_example(mlp_ex)
|
||||
add_example(model_selection_ex)
|
||||
add_gui_example(mpc_ex)
|
||||
add_example(multiclass_classification_ex)
|
||||
add_example(multithreaded_object_ex)
|
||||
add_gui_example(object_detector_advanced_ex)
|
||||
add_gui_example(object_detector_ex)
|
||||
add_gui_example(one_class_classifiers_ex)
|
||||
add_example(optimization_ex)
|
||||
add_example(parallel_for_ex)
|
||||
add_example(pipe_ex)
|
||||
add_example(pipe_ex_2)
|
||||
add_example(quantum_computing_ex)
|
||||
add_example(queue_ex)
|
||||
add_example(rank_features_ex)
|
||||
add_example(running_stats_ex)
|
||||
add_example(rvm_ex)
|
||||
add_example(rvm_regression_ex)
|
||||
add_example(sequence_labeler_ex)
|
||||
add_example(sequence_segmenter_ex)
|
||||
add_example(server_http_ex)
|
||||
add_example(server_iostream_ex)
|
||||
add_example(sockets_ex)
|
||||
add_example(sockstreambuf_ex)
|
||||
add_example(std_allocator_ex)
|
||||
add_gui_example(surf_ex)
|
||||
add_example(svm_c_ex)
|
||||
add_example(svm_ex)
|
||||
add_example(svm_pegasos_ex)
|
||||
add_example(svm_rank_ex)
|
||||
add_example(svm_sparse_ex)
|
||||
add_example(svm_struct_ex)
|
||||
add_example(svr_ex)
|
||||
add_example(thread_function_ex)
|
||||
add_example(thread_pool_ex)
|
||||
add_example(threaded_object_ex)
|
||||
add_example(threads_ex)
|
||||
add_example(timer_ex)
|
||||
add_gui_example(train_object_detector)
|
||||
add_example(train_shape_predictor_ex)
|
||||
add_example(using_custom_kernels_ex)
|
||||
add_gui_example(video_tracking_ex)
|
||||
add_example(xml_parser_ex)
|
||||
# add_gui_example(hough_transform_ex)
|
||||
# add_gui_example(image_ex)
|
||||
# add_example(integrate_function_adapt_simp_ex)
|
||||
# add_example(iosockstream_ex)
|
||||
# add_example(kcentroid_ex)
|
||||
# add_example(kkmeans_ex)
|
||||
# add_example(krls_ex)
|
||||
# add_example(krls_filter_ex)
|
||||
# add_example(krr_classification_ex)
|
||||
# add_example(krr_regression_ex)
|
||||
# add_example(learning_to_track_ex)
|
||||
# add_example(least_squares_ex)
|
||||
# add_example(linear_manifold_regularizer_ex)
|
||||
# add_example(logger_custom_output_ex)
|
||||
# add_example(logger_ex)
|
||||
# add_example(logger_ex_2)
|
||||
# add_example(matrix_ex)
|
||||
# add_example(matrix_expressions_ex)
|
||||
# add_example(max_cost_assignment_ex)
|
||||
# add_example(member_function_pointer_ex)
|
||||
# add_example(mlp_ex)
|
||||
# add_example(model_selection_ex)
|
||||
# add_gui_example(mpc_ex)
|
||||
# add_example(multiclass_classification_ex)
|
||||
# add_example(multithreaded_object_ex)
|
||||
# add_gui_example(object_detector_advanced_ex)
|
||||
# add_gui_example(object_detector_ex)
|
||||
# add_gui_example(one_class_classifiers_ex)
|
||||
# add_example(optimization_ex)
|
||||
# add_example(parallel_for_ex)
|
||||
# add_example(pipe_ex)
|
||||
# add_example(pipe_ex_2)
|
||||
# add_example(quantum_computing_ex)
|
||||
# add_example(queue_ex)
|
||||
# add_example(rank_features_ex)
|
||||
# add_example(running_stats_ex)
|
||||
# add_example(rvm_ex)
|
||||
# add_example(rvm_regression_ex)
|
||||
# add_example(sequence_labeler_ex)
|
||||
# add_example(sequence_segmenter_ex)
|
||||
# add_example(server_http_ex)
|
||||
# add_example(server_iostream_ex)
|
||||
# add_example(sockets_ex)
|
||||
# add_example(sockstreambuf_ex)
|
||||
# add_example(std_allocator_ex)
|
||||
# add_gui_example(surf_ex)
|
||||
# add_example(svm_c_ex)
|
||||
# add_example(svm_ex)
|
||||
# add_example(svm_pegasos_ex)
|
||||
# add_example(svm_rank_ex)
|
||||
# add_example(svm_sparse_ex)
|
||||
# add_example(svm_struct_ex)
|
||||
# add_example(svr_ex)
|
||||
# add_example(thread_function_ex)
|
||||
# add_example(thread_pool_ex)
|
||||
# add_example(threaded_object_ex)
|
||||
# add_example(threads_ex)
|
||||
# add_example(timer_ex)
|
||||
# add_gui_example(train_object_detector)
|
||||
# add_example(train_shape_predictor_ex)
|
||||
# add_example(using_custom_kernels_ex)
|
||||
# add_gui_example(video_tracking_ex)
|
||||
# add_example(xml_parser_ex)
|
||||
# add_example(dnn_graph_visitor_ex)
|
||||
add_example(playground)
|
||||
|
||||
|
||||
if (DLIB_LINK_WITH_SQLITE3)
|
||||
add_example(sqlite_ex)
|
||||
endif()
|
||||
# if (DLIB_LINK_WITH_SQLITE3)
|
||||
# add_example(sqlite_ex)
|
||||
# endif()
|
||||
|
||||
|
||||
|
||||
@ -150,17 +150,24 @@ int main(int argc, char** argv) try
|
||||
// p(i) == the probability the image contains object of class i.
|
||||
matrix<float,1,1000> p = sum_rows(mat(snet(images.begin(), images.end())))/num_crops;
|
||||
|
||||
win.set_image(img);
|
||||
// win.set_image(img);
|
||||
bool keep = false;
|
||||
// Print the 5 most probable labels
|
||||
for (int k = 0; k < 5; ++k)
|
||||
{
|
||||
unsigned long predicted_label = index_of_max(p);
|
||||
cout << p(predicted_label) << ": " << labels[predicted_label] << endl;
|
||||
// cout << p(predicted_label) << ": " << labels[predicted_label] << endl;
|
||||
p(predicted_label) = 0;
|
||||
if (labels[predicted_label] == "racket" or labels[predicted_label] == "tennis_ball")
|
||||
keep = true;
|
||||
}
|
||||
|
||||
cout << "Hit enter to process the next image";
|
||||
cin.get();
|
||||
if (not keep)
|
||||
{
|
||||
std::remove(argv[i]);
|
||||
cout << "removing " << argv[i] << '\n';
|
||||
}
|
||||
// cout << "Hit enter to process the next image";
|
||||
// cin.get();
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
@ -70,10 +70,10 @@ int main(int argc, char** argv) try
|
||||
// is largest then the predicted digit is 9.
|
||||
using net_type = loss_multiclass_log<
|
||||
fc<10,
|
||||
relu<fc<84,
|
||||
relu<fc<120,
|
||||
max_pool<2,2,2,2,relu<con<16,5,5,1,1,
|
||||
max_pool<2,2,2,2,relu<con<6,5,5,1,1,
|
||||
elu<fc<84,
|
||||
elu<fc<120,
|
||||
max_pool<2,2,2,2,elu<con<16,5,5,1,1,
|
||||
max_pool<2,2,2,2,elu<con<6,5,5,1,1,
|
||||
input<matrix<unsigned char>>
|
||||
>>>>>>>>>>>>;
|
||||
// This net_type defines the entire network architecture. For example, the block
|
||||
|
||||
@ -35,7 +35,11 @@ template <long num_filters, typename SUBNET> using con5d = con<num_filters,5,5,2
|
||||
template <long num_filters, typename SUBNET> using con5 = con<num_filters,5,5,1,1,SUBNET>;
|
||||
template <typename SUBNET> using downsampler = relu<bn_con<con5d<32, relu<bn_con<con5d<32, relu<bn_con<con5d<16,SUBNET>>>>>>>>>;
|
||||
template <typename SUBNET> using rcon5 = relu<bn_con<con5<55,SUBNET>>>;
|
||||
using net_type = loss_mmod<con<1,9,9,1,1,rcon5<rcon5<rcon5<downsampler<input_rgb_image_pyramid<pyramid_down<6>>>>>>>>;
|
||||
// using net_type = loss_mmod<con<1,9,9,1,1,rcon5<rcon5<rcon5<downsampler<input_rgb_image_pyramid<pyramid_down<6>>>>>>>>;
|
||||
// scale1<sig<con<55,1,1,1,1,avg_pool_everything<tag1<
|
||||
using net_type = loss_mmod<con<1,9,9,1,1,
|
||||
scale_prev2<skip1<tag2<sig<con<55,1,1,1,1,avg_pool_everything<tag1<
|
||||
rcon5<rcon5<rcon5<downsampler<input_rgb_image_pyramid<pyramid_down<6>>>>>>>>>>>>>>>;
|
||||
|
||||
|
||||
// ----------------------------------------------------------------------------------------
|
||||
|
||||
Loading…
Reference in New Issue
Block a user