dlib

    A toolkit for making real world machine learning and data analysis applications in C++

    Language: c

    Author: GitHub Repos (@github-repos)

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    • svm_binary_classifier.py (py)
    • find_candidate_object_locations.py (py)
    • face_landmark_detection.py (py)
    • face_clustering.py (py)
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    • train_shape_predictor.py (py)
    • cnn_face_detector.py (py)
    • train_object_detector.py (py)
    • requirements.txt (txt)
    • LICENSE_FOR_EXAMPLE_PROGRAMS.txt (txt)
    • face_jitter.py (py)
    • max_cost_assignment.py (py)
    • svm_struct.py (py)
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    • README.md (md)
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    • common.h (h)
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    • flip_dataset.h (h)
    • convert_idl.cpp (cpp)
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    • running_a_dlib_model_with_caffe_example.py (py)
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    • python (txt)
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    • .gitignore (gitignore)
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    • test_sparse_vector.py (py)
    • generate_numpy_returns_test_data.py (py)
    • utils.py (py)
    • CMakeLists.txt (txt)
    • dlib (txt)
    • src (txt)
    • image3.cpp (cpp)
    • numpy_returns.cpp (cpp)
    • image4.cpp (cpp)
    • global_optimization.cpp (cpp)
    • sequence_segmenter.cpp (cpp)
    • serialize_object_detector.h (h)
    • face_recognition.cpp (cpp)
    • shape_predictor.h (h)
    • simple_object_detector_py.h (h)
    • shape_predictor.cpp (cpp)
    • gui.cpp (cpp)
    • other.cpp (cpp)
    • image_dataset_metadata.cpp (cpp)
    • cnn_face_detector.cpp (cpp)
    • line.cpp (cpp)
    • vector.cpp (cpp)
    • svm_rank_trainer.cpp (cpp)
    • cca.cpp (cpp)
    • indexing.h (h)
    • testing_results.h (h)
    • svm_c_trainer.cpp (cpp)
    • dlib.cpp (cpp)
    • basic.cpp (cpp)
    • correlation_tracker.cpp (cpp)
    • decision_functions.cpp (cpp)
    • matrix.cpp (cpp)
    • rectangles.cpp (cpp)
    • image2.cpp (cpp)
    • svm_struct.cpp (cpp)
    • object_detection.cpp (cpp)
    • conversion.h (h)
    • image.cpp (cpp)
    • opaque_types.h (h)
    • simple_object_detector.h (h)
    • archive (txt)
    • train_face_5point_model.cpp (cpp)
    • CMakeLists.txt (txt)
    • visual_studio_natvis (txt)
    • README.txt (txt)
    • examples (txt)
    • image_ex.cpp (cpp)
    • mpc_ex.cpp (cpp)
    • krr_regression_ex.cpp (cpp)
    • rank_features_ex.cpp (cpp)
    • bayes_net_ex.cpp (cpp)
    • slm_basic_train_ex.cpp (cpp)
    • face_landmark_detection_ex.cpp (cpp)
    • dnn_instance_segmentation_ex.cpp (cpp)
    • logger_ex_2.cpp (cpp)
    • dnn_semantic_segmentation_ex.h (h)
    • ffmpeg_video_demuxing_ex.cpp (cpp)
    • resnet.h (h)
    • hough_transform_ex.cpp (cpp)
    • dnn_instance_segmentation_ex.h (h)
    • dnn_introduction2_ex.cpp (cpp)
    • mmod_cars_test_image2.jpg (image)
    • dnn_mmod_find_cars2_ex.cpp (cpp)
    • dnn_dcgan_train_ex.cpp (cpp)
    • member_function_pointer_ex.cpp (cpp)
    • faces (txt)
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    • dogs.jpg (image)
    • 2008_004176.jpg (image)
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    • testing.xml (xml)
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    • training.xml (xml)
    • kkmeans_ex.cpp (cpp)
    • sockets_ex.cpp (cpp)
    • johns (txt)
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    • dlib (txt)
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    • test_for_neon (txt)
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    • ATTRIBUTION.md (markdown)

    dlib

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    • Updated Jul 25, 2026
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    A toolkit for making real world machine learning and data analysis applications in C++

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    Created Jan 30, 2026