revise default proto to match the filename in documentations
fix a bug
beautify python codes
fix bug
beautify codes
add test samples with larger/smaller size
remove unless code
using bytearray without creating tmp file
remove useless codes
Improving DaSiamRPN tracker sample
* changed layerBlobs in dnn.cpp and added DaSiamRPN tracker
* Improving DaSiamRPN tracker sample
* Docs fix
* Removed outdated changes
* Trying to reinitialize tracker without reloading models. Worked with LaSOT-based benchmark with reinit rate=250 frames
* Trying to reverse changes
* Moving the model in the constructor
* Fixing some issues with names
* Variable name changed
* Reverse parser arguments changes
* Add a FLANN example showing how to search a query image in a dataset
* Clean: remove warning
* Replace dependency to boost::filesystem by calls to core/utils/filesystem
* Wait for escape key to exit
* Add an example of binary descriptors support
* Add program options for saving and loading the flann structure
* Fix warnings on Win64
* Fix warnings on 3.4 branch still relying on C++03
* Add ctor to img_info structure
* Comments modification
* * Demo file of FLANN moved and renamed
* Fix distances type when using binary vectors in the FLANN example
* Rename FLANN example file
* Remove dependency of the flann example to opencv_contrib's SURF.
* Remove mention of FLANN and other descriptors that aimed at giving hint on the other options
* Cleaner program options management
* Make waitKey usage minimal in FLANN example
* Fix the conditions order
* Use cv::Ptr
* Implement ASIFT in C++
* '>>' should be '> >' within a nested template
* add a sample for asift usage
* bugfix empty keypoints cause crash
* simpler initialization for mask
* suppress the number of lines
* correct tex document
* type casting
* add descriptorsize for asift
* smaller testdata for asift
* more smaller test data
* add OpenCV short license header
* add text recognition sample
* fix pylint warning
* made changes according to the c++ example
* fix errors
* add text recognition sample
* update text detection sample
Objc binding
* Initial work on Objective-C wrapper
* Objective-C generator script; update manually generated wrappers
* Add Mat tests
* Core Tests
* Imgproc wrapper generation and tests
* Fixes for Imgcodecs wrapper
* Miscellaneous fixes. Swift build support
* Objective-C wrapper build/install
* Add Swift wrappers for videoio/objdetect/feature2d
* Framework build;iOS support
* Fix toArray functions;Use enum types whenever possible
* Use enum types where possible;prepare test build
* Update test
* Add test runner scripts for iOS and macOS
* Add test scripts and samples
* Build fixes
* Fix build (cmake 3.17.x compatibility)
* Fix warnings
* Fix enum name conflicting handling
* Add support for document generation with Jazzy
* Swift/Native fast accessor functions
* Add Objective-C wrapper for calib3d, dnn, ml, photo and video modules
* Remove IntOut/FloatOut/DoubleOut classes
* Fix iOS default test platform value
* Fix samples
* Revert default framework name to opencv2
* Add converter util functions
* Fix failing test
* Fix whitespace
* Add handling for deprecated methods;fix warnings;define __OPENCV_BUILD
* Suppress cmake warnings
* Reduce severity of "jazzy not found" log message
* Fix incorrect #include of compatibility header in ios.h
* Use explicit returns in subscript/get implementation
* Reduce minimum required cmake version to 3.15 for Objective-C/Swift binding
Fixes the help for `--features`, previously listed all possible values as default value.
Also adds the default value to the help for two other arguments
* fixed#17044
1. fixed Python part of the tutorial about using OpenCV XML-YAML-JSON I/O functionality from C++ and Python.
2. added startWriteStruct() and endWriteStruct() methods to FileStorage
3. modifed FileStorage::write() methods to make them work well inside sequences, not only mappings.
* try to fix the doc builder
* added Python regression test for FileStorage I/O API ([TODO] iterating through long sequences can be very slow)
* fixed yaml testing
I believe you are using the wrong version of open() on line 28 - adding deviceID + appId together. It's better to use the new version of .open() taking two integers as parameter.
Added a sample file for qrcode detection in python
* sample python file for qrcode detection added in samples/python
* input taken using argparse and the indents were removed
* Removed unused variables
* updated the format and removed unused variables
Removed the use of global variables and used parameterised contructor instead
=set multi detection true by default
* added detection from camera
* samples(python): coding style in qrcode.py
Added DaSiamRPN tracker
* added DaSiamRPN tracker
* whitespace trouble handled
* Fixes for PR
* Fixes for PR
* Fixes for PR
* added new line in the end of the file and x_crop fix
* removed cxy_wh_2_rect function
* removed loop from sofrmax function
* more detailed discription about absolute paths to onnx models
* removed nested while loop, initialization moved from main tracking loop
* added assert message for small init bb
* initial bounding box on videostream
* selection of initial bounding box improved
* created tracker class, fixed initializing bounding box
* fix round of value
* names fix
* private methods renamed
* names fixed, case for video WIP
* fix case with video
* removed hardcoded size of window
* whitespace fix
* links to models fixed
* bounding box drawing fix
* changes does not required
* code style fixes
* fixes
* frame checker added in tracking loop
* fixed import sys
* Add python version of panorama_stitching_rotating_camera and perspective_correction
* Updated code
* added in the docs
* added python code in the docs
* docs change
* Add java tutorial as well
* Add toggle in documentation
* Added the link for Java code
* format code
* Refactored code
QR-Code detector : multiple detection
* change in qr-codes detection
* change in qr-codes detection
* change in test
* change in test
* add multiple detection
* multiple detection
* multiple detect
* add parallel implementation
* add functional for performance tests
* change in test
* add perftest
* returned implementation for 1 qr-code, added support for vector<Mat> and vector<vector<Point2f>> in MultipleDetectAndDecode
* deleted all lambda expressions
* changing in triangle sort
* fixed warnings
* fixed errors
* add java and python tests
* change in java tests
* change in java and python tests
* change in perf test
* change in qrcode.cpp
* add spaces
* change in qrcode.cpp
* change in qrcode.cpp
* change in qrcode.cpp
* change in java tests
* change in java tests
* solved problems
* solved problems
* change in java and python tests
* change in python tests
* change in python tests
* change in python tests
* change in methods name
* deleted sample qrcode_multi, change in qrcode.cpp
* change in perf tests
* change in objdetect.hpp
* deleted code duplication in sample qrcode.cpp
* returned spaces
* added spaces
* deleted draw function
* change in qrcode.cpp
* change in qrcode.cpp
* deleted all draw functions
* objdetect(QR): extractVerticalLines
* objdetect(QR): whitespaces
* objdetect(QR): simplify operations, avoid duplicated code
* change in interface, additional checks in java and python tests, added new key in sample for saving original image from camera
* fix warnings and errors in python test
* fix
* write in file with space key
* solved error with empty mat check in python test
* correct path to test image
* deleted spaces
* solved error with check empty mat in python tests
* added check of empty vector of points
* samples: rework qrcode.cpp
* objdetect(QR): fix API, input parameters must be first
* objdetect(QR): test/fix points layout
* Added java code for meanshift and optical_flow
* added java code for module video
* added appropriate spaces in codes
* converted absolute path to command line arguments
* added spaces at appropriate places
Python code examples for file IO in xml and yml format
* Initial "Pythonization" of file_input_output.cpp
* Moved file_input_output.py to correct location
* Nearly done Pythonizing file_input_output.cpp
* Python equivalent of file_input_output.py created
* Started Pythonizing camera_calibration.cpp
* Completed Python tutorial/sample code for file_input_output
* Resolved whitespace issues
* Removed tabs in file_input_output.cpp
* Patched import order and wrapped code in main function
* Changed string to docstring format in help file
* Updated link to Python example code
G-API: Tutorial: Face beautification algorithm implementation
* Introduce a tutorial on face beautification algorithm
- small typo issue in render_ocv.cpp
* Addressing comments rgarnov smirnov-alexey
* G-API-NG/Docs: Added a tutorial page on interactive face detection sample
- Introduced a "--ser" option to run the pipeline serially for
benchmarking purposes
- Reorganized sample code to better fit the documentation;
- Fixed a couple of issues (mainly typos) in the public headers
* G-API-NG/Docs: Reflected meta-less compilation in new G-API tutorial
* G-API-NG/Docs: Addressed review comments on Face Analytics Pipeline example
* core: disable invalid constructors in C API by default
- C API objects will lose their default initializers through constructors
* samples: stop using of C API
* Changes disparity image to float representation
Signed-off-by: Connor James Smith <cjs.connor.smith@gmail.com>
* samples: update disparity multiplier handling in stereo_match.cpp
I think it would help to change all 3 of the the input file arguments to be "positional" for consistency with the other tutorials. This also simplifies the command line input to run this tutorial by reducing typing, and helpfully prints the "usage" info if any of the 3 required inputs are missing.
I'm new to OpenCV and working through the tutorials. I kept getting runtime errors with this one until I realized that the arguments weren't positional, and I was missing the "--input1", "--input2, "--input3" flags preceding the filenames. All of the previous tutorials had required filenames as positional arguments and didn't require this.
The original code would require each input to be specified like this:
./compareHist_Demo --input1 filename1 --input2 filename2 --input3 filename3
But with this change, the above command is simplified to:
./compareHist_Demo filename1 filename2 filename3
This avoids a confusing runtime error to make things simpler for newcomers like me :)
The usage function states that the default for match_conf is
0.65 if the default SURF feature finder is used, and 0.3 for
orbs. Indeed, if --feature orbs is used, match_conf is set
to 0.3f. This is a NOP, because the real default is also set
to 0.3f. Change it to 0.65f when SURF is in play.
* G-API: Doxygen documentatation for Async API
* G-API: Doxygen documentatation for Async API
- renamed local variable (reading parameter async) async ->
asyncNumReq in object_detection DNN sample
to avoid Doxygen erroneous linking the sample to cv::gapi::wip::async
documentation
