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buildroot/package/opencv4-contrib/Config.in
Fabrice Fontaine 0bdce80231 package/glog: needs gcc >= 6 
C++14 is mandatory since bump to version 0.7.0 in commit
2e9f161d4a and
6742834201
and
42a185cd88
resulting in the following build failure with gcc 5:

In file included from /home/buildroot/autobuild/run/instance-2/output-1/build/glog-0.7.0/src/demangle.cc:43:0:
/home/buildroot/autobuild/run/instance-2/output-1/build/glog-0.7.0/src/utilities.h:210:22: error: enclosing class of constexpr non-static member function 'google::glog_internal_namespace_::FileDescriptor::operator bool() const' is not a literal type
   constexpr explicit operator bool() const noexcept {
                      ^

Fixes: 2e9f161d4a
 - http://autobuild.buildroot.org/results/8d5e105283ead1057545b46726385f4ba4dff29e

Signed-off-by: Fabrice Fontaine <fontaine.fabrice@gmail.com>
Signed-off-by: Thomas Petazzoni <thomas.petazzoni@bootlin.com>
2024-05-05 15:20:22 +02:00

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menuconfig BR2_PACKAGE_OPENCV4_CONTRIB
bool "opencv4-contrib"
depends on BR2_PACKAGE_OPENCV4
help
OpenCV (Open Source Computer Vision) is a library of
programming functions for real time computer vision.
http://opencv.org/
if BR2_PACKAGE_OPENCV4_CONTRIB
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_ALPHAMAT
bool "alphamat"
help
Computer Vision based Alpha Matting -- Given an input image
and a trimap, generate an alpha matte.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_ARUCO
bool "aruco"
select BR2_PACKAGE_OPENCV4_LIB_CALIB3D
help
ArUco and ChArUco Markers -- Augmented reality ArUco marker
and "ChARUco" markers where ArUco markers embedded inside the
white areas of the checker board.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_BARCODE
bool "barcode"
help
Barcode detecting and decoding methods.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_BGSEGM
bool "bgsegm"
select BR2_PACKAGE_OPENCV4_LIB_VIDEO
help
Background segmentation algorithm combining statistical
background image estimation and per-pixel Bayesian
segmentation.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_BIOINSPIRED
bool "bioinspired"
help
Biological Vision -- Biologically inspired vision model:
minimize noise and luminance variance, transient event
segmentation, high dynamic range tone mapping methods.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_CCALIB
bool "ccalib"
select BR2_PACKAGE_OPENCV4_LIB_HIGHGUI
help
Custom Calibration -- Patterns for 3D reconstruction,
omnidirectional camera calibration, random pattern calibration
and multi-camera calibration.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_CNN_3DOBJ
bool "cnn_3dobj"
help
Deep Object Recognition and Pose -- Uses Caffe Deep Neural Net
library to build, train and test a CNN model of visual object
recognition and pose.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_CVV
bool "cvv"
help
Computer Vision Debugger -- Simple code that you can add
to your program that pops up a GUI allowing you to
interactively and visually debug computer vision programs.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_DATASETS
bool "datasets"
help
Datasets Reader -- Code for reading existing computer vision
databases and samples of using the readers to train, test and
run using that dataset's data.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_DNN_OBJDETECT
bool "dnn_objdetect"
depends on BR2_PACKAGE_PROTOBUF_ARCH_SUPPORTS # opencv4 dnn
depends on !BR2_TOOLCHAIN_USES_UCLIBC # opencv4 dnn
select BR2_PACKAGE_OPENCV4_LIB_DNN
help
Object Detection using CNNs -- Implements compact CNN Model
for object detection. Trained using Caffe but uses
opencv_dnn module.
comment "dnn_objdetect needs a glibc or musl toolchain"
depends on BR2_PACKAGE_PROTOBUF_ARCH_SUPPORTS
depends on !BR2_TOOLCHAIN_USES_UCLIBC
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_DNN_SUPERRES
bool "dnn_superres"
depends on BR2_PACKAGE_PROTOBUF_ARCH_SUPPORTS # opencv4 dnn
depends on !BR2_TOOLCHAIN_USES_UCLIBC # opencv4 dnn
select BR2_PACKAGE_OPENCV4_LIB_DNN
help
Superresolution using CNNs -- Contains four trained
convolutional neural networks to upscale images.
comment "dnn_superres needs a glibc or musl toolchain"
depends on BR2_PACKAGE_PROTOBUF_ARCH_SUPPORTS
depends on !BR2_TOOLCHAIN_USES_UCLIBC
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_DNNS_EASILY_FOOLED
bool "dnns_easily_fooled"
help
Subvert DNNs -- This code can use the activations in a
network to fool the networks into recognizing something else.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_DPM
bool "dpm"
depends on BR2_PACKAGE_PROTOBUF_ARCH_SUPPORTS # opencv4 objdetect
depends on !BR2_TOOLCHAIN_USES_UCLIBC # opencv4 objdetect
select BR2_PACKAGE_OPENCV4_LIB_OBJDETECT
help
Deformable Part Model -- Felzenszwalb's Cascade with
deformable parts object recognition code.
comment "dpm needs a glibc or musl toolchain"
depends on BR2_PACKAGE_PROTOBUF_ARCH_SUPPORTS # opencv4 objdetect
depends on BR2_TOOLCHAIN_USES_UCLIBC # opencv4 objdetect
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_FACE
bool "face"
depends on BR2_PACKAGE_PROTOBUF_ARCH_SUPPORTS # opencv4 objdetect
depends on !BR2_TOOLCHAIN_USES_UCLIBC # opencv4 objdetect
select BR2_PACKAGE_OPENCV4_LIB_OBJDETECT
help
Face Recognition -- Face recognition techniques: Eigen, Fisher
and Local Binary Pattern Histograms LBPH methods.
comment "face needs a glibc or musl toolchain"
depends on BR2_PACKAGE_PROTOBUF_ARCH_SUPPORTS # opencv4 objdetect
depends on BR2_TOOLCHAIN_USES_UCLIBC # opencv4 objdetect
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_FREETYPE
bool "freetype"
help
Drawing text using freetype and harfbuzz.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_FUZZY
bool "fuzzy"
help
Fuzzy Logic in Vision -- Fuzzy logic image transform and
inverse; Fuzzy image processing.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_HDF
bool "hdf"
help
Hierarchical Data Storage -- This module contains I/O
routines for Hierarchical Data Format:
https://en.m.wikipedia.org/wiki/Hierarchical_Data_Format
meant to store large amounts of data.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_HFS
bool "hfs"
help
Hierarchical Feature Selection for Efficient Image
Segmentation -- This module contains an efficient
algorithm to segment an image.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_IMG_HASH
bool "img_hash"
help
This module contains algorithms to extract hash of an
image allowing to efficiently estimate similarity between
images.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_INTENSITY_TRANSFORM
bool "intensity_transform"
help
The module brings implementations of intensity transformation
algorithms to adjust image contrast.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_JULIA
bool "julia"
help
Julia language wrappers with samples and tests.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_LINE_DESCRIPTOR
bool "line_descriptor"
help
Line Segment Extract and Match -- Methods of extracting,
describing and matching line segments using binary
descriptors.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_MATLAB
bool "matlab"
help
Matlab Interface -- OpenCV Matlab Mex wrapper code generator
for certain opencv core modules.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_MCC
bool "mcc"
help
Macbeth Color Chart detector -- Find and return color patch
location in MacBeth color calibration charts.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_OPTFLOW
bool "optflow"
select BR2_PACKAGE_OPENCV4_LIB_VIDEO
help
Optical Flow -- Algorithms for running and evaluating
deepflow, simpleflow, sparsetodenseflow and motion
templates (silhouette flow).
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_OVIS
bool "ovis"
help
OGRE 3D Visualiser -- allows you to render 3D data using
the OGRE 3D engine.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_PHASE_UNWRAPPING
bool "phase_unwrapping"
help
Quality-guided phase unwrapping.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_PLOT
bool "plot"
help
Plotting -- The plot module allows you to easily plot data
in 1D or 2D.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_QUALITY
bool "quality"
help
Image Quality Analysis (IQA) API.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_RAPID
bool "rapid"
help
Silhouette based 3D object tracking.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_REG
bool "reg"
help
Image Registration -- Pixels based image registration for
precise alignment. Follows the paper "Image Alignment and
Stitching: A Tutorial", by Richard Szeliski.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_RGBD
bool "rgbd"
help
RGB-Depth Processing module -- Linemod 3D object recognition;
Fast surface normals and 3D plane finding. 3D visual odometry.
3d reconstruction using KinectFusion.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_SALIENCY
bool "saliency"
help
Saliency API -- Where humans would look in a scene. Has
routines for static, motion and "objectness" saliency.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_SFM
bool "sfm"
depends on BR2_TOOLCHAIN_GCC_AT_LEAST_6 # glog
select BR2_PACKAGE_OPENCV4_LIB_IMGPROC
select BR2_PACKAGE_OPENCV4_LIB_IMGCODECS
select BR2_PACKAGE_EIGEN
select BR2_PACKAGE_GLOG
select BR2_PACKAGE_GFLAGS
help
Structure from Motion -- This module contains algorithms
to perform 3d reconstruction from 2d images. The core of
the module is a light version of Libmv.
comment "sfm needs a toolchain w/ gcc >= 6"
depends on !BR2_TOOLCHAIN_GCC_AT_LEAST_6
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_SHAPE
bool "shape"
help
Shape Distance and Matching
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_STEREO
bool "stereo"
select BR2_PACKAGE_OPENCV4_CONTRIB_LIB_TRACKING
help
Stereo Correspondence -- Stereo matching done with different
descriptors: Census / CS-Census / MCT / BRIEF / MV and dense
stereo correspondence using Quasi Dense Stereo method.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_STRUCTURED_LIGHT
bool "structured_light"
help
Structured Light Use -- How to generate and project gray code
patterns and use them to find dense depth in a scene.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_SUPERRES
bool "superres"
select BR2_PACKAGE_OPENCV4_LIB_VIDEO
help
Super Resolution
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_SURFACE_MATCHING
bool "surface_matching"
help
Point Pair Features -- Implements 3d object detection and
localization using multimodal point pair features.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_TEXT
bool "text"
help
Scene Text Detection and Recognition -- This module contains
algorithms to perform text detection, words segmentation and
text recognition in a visual scene.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_TRACKING
bool "tracking"
select BR2_PACKAGE_OPENCV4_LIB_VIDEO
help
Vision Based Object Tracking -- Use and/or evaluate different
visual object tracking techniques.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_VIDEOSTAB
bool "videostab"
select BR2_PACKAGE_OPENCV4_LIB_VIDEO
select BR2_PACKAGE_OPENCV4_LIB_PHOTO
help
Video Stabilization
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_VIZ
bool "viz"
help
3D Visualizer
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_WECHAT_QRCODE
bool "wechat_qrcode"
help
WeChat QR code detector for detecting and parsing QR code.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_XFEATURES2D
bool "xfeatures2d"
help
Features2D extra -- Extra 2D Features Framework containing
experimental and non-free 2D feature detector/descriptor
algorithms. SURF, BRIEF, Censure, Freak, LUCID, Daisy,
Self-similar.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_XIMGPROC
bool "ximgproc"
help
Extended Image Processing -- Structured Forests / Domain
Transform Filter / Guided Filter / Adaptive Manifold Filter
/ Joint Bilateral Filter / Superpixels / Ridge Detection
Filter.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_XOBJDETECT
bool "xobjdetect"
depends on BR2_PACKAGE_PROTOBUF_ARCH_SUPPORTS # opencv4 objdetect
depends on !BR2_TOOLCHAIN_USES_UCLIBC # opencv4 objdetect
select BR2_PACKAGE_OPENCV4_LIB_OBJDETECT
help
Boosted 2D Object Detection -- Uses a Waldboost cascade and
local binary patterns computed as integral features for 2D
object detection.
comment "xobjdetect needs a glibc or musl toolchain"
depends on BR2_PACKAGE_PROTOBUF_ARCH_SUPPORTS # opencv4 objdetect
depends on BR2_TOOLCHAIN_USES_UCLIBC # opencv4 objdetect
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_XPHOTO
bool "xphoto"
select BR2_PACKAGE_OPENCV4_LIB_PHOTO
help
Extra Computational Photography -- Additional photo processing
algorithms: Color balance / Denoising / Inpainting.
endif
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