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package/opencv4: add support for opencv4_contrib repository for extra modules

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This adds a separate opencv4_contrib package to manage
downloading/unpacking that repository. These extra modules
are useful for a lot of applications, but not necessary
for minimal installs, so they are all given dedicated Kconfig
options

It's important to note that the opencv4-contrib package
downloads extra source that is compiled as a part of
the opencv4 package. This is why it is a dependency
of opencv4, and not the other way around

Signed-off-by: Woodrow Douglass <wdouglass@carnegierobotics.com>
Signed-off-by: Yann E. MORIN <yann.morin.1998@free.fr>
This commit is contained in:
Woodrow Douglass 2022-11-17 12:34:54 -05:00 committed by Yann E. MORIN
parent e3d2082b35
commit 4f4f2877fc
5 changed files with 390 additions and 5 deletions
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1
package/Config.in
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@ -1593,6 +1593,7 @@ menu "Graphics"
source "package/opencl-clhpp/Config.in"
source "package/opencv3/Config.in"
source "package/opencv4/Config.in"
source "package/opencv4-contrib/Config.in"
source "package/opengl/Config.in"
source "package/openjpeg/Config.in"
source "package/pango/Config.in"

313
package/opencv4-contrib/Config.in Normal file
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@ -0,0 +1,313 @@
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"
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"
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"
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"
help
Object Detection using CNNs -- Implements compact CNN Model
for object detection. Trained using Caffe but uses
opencv_dnn module.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_DNN_SUPERRES
bool "dnn_superres"
help
Superresolution using CNNs -- Contains four trained
convolutional neural networks to upscale images.
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"
help
Deformable Part Model -- Felzenszwalb's Cascade with
deformable parts object recognition code.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_FACE
bool "face"
help
Face Recognition -- Face recognition techniques: Eigen, Fisher
and Local Binary Pattern Histograms LBPH methods.
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"
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"
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.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_SHAPE
bool "shape"
help
Shape Distance and Matching
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_STEREO
bool "stereo"
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"
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"
help
Vision Based Object Tracking -- Use and/or evaluate different
visual object tracking techniques.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_VIDEOSTAB
bool "videostab"
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"
help
Boosted 2D Object Detection -- Uses a Waldboost cascade and
local binary patterns computed as integral features for 2D
object detection.
config BR2_PACKAGE_OPENCV4_CONTRIB_LIB_XPHOTO
bool "xphoto"
help
Extra Computational Photography -- Additional photo processing
algorithms: Color balance / Denoising / Inpainting.
endif

3
package/opencv4-contrib/opencv4-contrib.hash Normal file
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@ -0,0 +1,3 @@
# Locally calculated
sha256 1777d5fd2b59029cf537e5fd6f8aa68d707075822f90bde683fcde086f85f7a7 opencv4-contrib-4.6.0.tar.gz
sha256 cfc7749b96f63bd31c3c42b5c471bf756814053e847c10f3eb003417bc523d30 LICENSE

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package/opencv4-contrib/opencv4-contrib.mk Normal file
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@ -0,0 +1,16 @@
################################################################################
#
# opencv4-contrib
#
################################################################################
OPENCV4_CONTRIB_VERSION = 4.6.0
OPENCV4_CONTRIB_SITE = $(call github,opencv,opencv_contrib,$(OPENCV4_CONTRIB_VERSION))
OPENCV4_CONTRIB_INSTALL_TARGET = FALSE
OPENCV4_CONTRIB_LICENSE = Apache-2.0
OPENCV4_CONTRIB_LICENSE_FILES = LICENSE
# Modules provided by opencv4-contrib are built as part of the opencv4 package,
# so opencv4-contrib only serves for downloading the source code.
$(eval $(generic-package))

62
package/opencv4/opencv4.mk
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@ -82,11 +82,6 @@ OPENCV4_CONF_OPTS += \
# - viz: missing VTK dependency
# - world: all-in-one module
#
# * Contrib modules from [1] are disabled:
# - opencv_contrib package is not available in Buildroot;
# - OPENCV_EXTRA_MODULES_PATH is not set.
#
# [1] https://github.com/Itseez/opencv_contrib
OPENCV4_CONF_OPTS += \
-DBUILD_opencv_androidcamera=OFF \
-DBUILD_opencv_apps=OFF \
@ -232,6 +227,63 @@ OPENCV4_CONF_OPTS += \
OPENCV4_DEPENDENCIES += host-pkgconf zlib
ifeq ($(BR2_PACKAGE_OPENCV4_CONTRIB),y)
# OPENCV4 depends on OPENCV4_CONTRIB, and not the other way around.
# The modules in OPENCV4_CONTRIB get built as part of the build
# process for OPENCV4, so the source needs to be unpacked already
OPENCV4_DEPENDENCIES += opencv4-contrib
OPENCV4_CONF_OPTS += \
-DOPENCV_EXTRA_MODULES_PATH=$(OPENCV4_CONTRIB_DIR)/modules \
-DBUILD_opencv_alphamat=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_ALPHAMAT),ON,OFF) \
-DBUILD_opencv_aruco=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_ARUCO),ON,OFF) \
-DBUILD_opencv_barcode=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_BARCODE),ON,OFF) \
-DBUILD_opencv_bgsegm=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_BGSEGM),ON,OFF) \
-DBUILD_opencv_bioinspired=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_BIOINSPIRED),ON,OFF) \
-DBUILD_opencv_ccalib=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_CCALIB),ON,OFF) \
-DBUILD_opencv_cnn_3dobj=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_CNN_3DOBJ),ON,OFF) \
-DBUILD_opencv_cvv=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_CVV),ON,OFF) \
-DBUILD_opencv_datasets=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_DATASETS),ON,OFF) \
-DBUILD_opencv_dnn_objdetect=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_DNN_OBJDETECT),ON,OFF) \
-DBUILD_opencv_dnn_superres=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_DNN_SUPERRES),ON,OFF) \
-DBUILD_opencv_dnns_easily_fooled=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_DNNS_EASILY_FOOLED),ON,OFF) \
-DBUILD_opencv_dpm=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_DPM),ON,OFF) \
-DBUILD_opencv_face=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_FACE),ON,OFF) \
-DBUILD_opencv_freetype=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_FREETYPE),ON,OFF) \
-DBUILD_opencv_fuzzy=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_FUZZY),ON,OFF) \
-DBUILD_opencv_hdf=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_HDF),ON,OFF) \
-DBUILD_opencv_hfs=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_HFS),ON,OFF) \
-DBUILD_opencv_img_hash=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_IMG_HASH),ON,OFF) \
-DBUILD_opencv_intensity_transform=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_INTENSITY_TRANSFORM),ON,OFF) \
-DBUILD_opencv_julia=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_JULIA),ON,OFF) \
-DBUILD_opencv_line_descriptor=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_LINE_DESCRIPTOR),ON,OFF) \
-DBUILD_opencv_matlab=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_MATLAB),ON,OFF) \
-DBUILD_opencv_mcc=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_MCC),ON,OFF) \
-DBUILD_opencv_optflow=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_OPTFLOW),ON,OFF) \
-DBUILD_opencv_ovis=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_OVIS),ON,OFF) \
-DBUILD_opencv_phase_unwrapping=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_PHASE_UNWRAPPING),ON,OFF) \
-DBUILD_opencv_plot=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_PLOT),ON,OFF) \
-DBUILD_opencv_quality=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_QUALITY),ON,OFF) \
-DBUILD_opencv_rapid=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_RAPID),ON,OFF) \
-DBUILD_opencv_reg=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_REG),ON,OFF) \
-DBUILD_opencv_rgbd=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_RGBD),ON,OFF) \
-DBUILD_opencv_saliency=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_SALIENCY),ON,OFF) \
-DBUILD_opencv_sfm=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_SFM),ON,OFF) \
-DBUILD_opencv_shape=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_SHAPE),ON,OFF) \
-DBUILD_opencv_stereo=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_STEREO),ON,OFF) \
-DBUILD_opencv_structured_light=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_STRUCTURED_LIGHT),ON,OFF) \
-DBUILD_opencv_superres=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_SUPERRES),ON,OFF) \
-DBUILD_opencv_surface_matching=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_SURFACE_MATCHING),ON,OFF) \
-DBUILD_opencv_text=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_TEXT),ON,OFF) \
-DBUILD_opencv_tracking=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_TRACKING),ON,OFF) \
-DBUILD_opencv_videostab=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_VIDEOSTAB),ON,OFF) \
-DBUILD_opencv_viz=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_VIZ),ON,OFF) \
-DBUILD_opencv_wechat_qrcode=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_WECHAT_QRCODE),ON,OFF) \
-DBUILD_opencv_xfeatures2d=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_XFEATURES2D),ON,OFF) \
-DBUILD_opencv_ximgproc=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_XIMGPROC),ON,OFF) \
-DBUILD_opencv_xobjdetect=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_XOBJDETECT),ON,OFF) \
-DBUILD_opencv_xphoto=$(if $(BR2_PACKAGE_OPENCV4_CONTRIB_LIB_XPHOTO),ON,OFF)
endif
ifeq ($(BR2_PACKAGE_OPENCV4_JPEG2000_WITH_JASPER),y)
OPENCV4_CONF_OPTS += -DWITH_JASPER=ON
OPENCV4_DEPENDENCIES += jasper