* Added PaddlePaddle classification model conversion case
* Modify cv2 import as cv
* Modify documents in dnn_conversion/paddlepaddle
* Modify documents in dnn_conversion/paddlepaddle
Stitching Detailed Tutorial Improvements
* Add Vertical Wave Correction
The user has the possibility to pass "vert" as wave_correct parameter. However, in the code "cv.detail.WAVE_CORRECT_HORIZ" ist fixed. This change proposes changes so that the wave correction is done vertically if the user passes "vert" as wave_correct parameter. The variable "do_wave_correct" is replaced by None which is passed to the variable "wave_correct" if the user chooses "no" for wave correction.
* Correct fixed conf_thresh
According to the documentation, [cv.detail.leaveBiggestComponent](https://docs.opencv.org/4.5.1/d7/d74/group__stitching__rotation.html#ga855d2fccbcfc3b3477b34d415be5e786) takes features, the pairwise_matches and the conf_threshold as input.
In the tutorial, however, conf_threshold is fixed at 0.3 even though the user can pass conf_thresh as parameter which is 1 by default. Fixing this parameter at 0.3 causes the script to include images into the panorama which are not part of it.
* Error Message for SURF if not implemented
In OpenCV 4.5.1
import cv2 as cv
cv.xfeatures2d_SURF.create
will not create an AttributeError, even if the function is excluded (no nonfree option)
In Line 305 (now 306) however ´finder = FEATURES_FIND_CHOICES[args.features]()´ will raise an
error: OpenCV(4.5.1) ..\opencv_contrib\modules\xfeatures2d\src\surf.cpp:1029: error: (-213:The function/feature is not implemented) This algorithm is patented and is excluded in this configuration; Set OPENCV_ENABLE_NONFREE CMake option and rebuild the library in function 'cv::xfeatures2d::SURF::create'
So we should check with cv.xfeatures2d_SURF.create() correctly if SURF is available
videoio: HW decode/encode in FFMPEG backend; new properties with support in FFMPEG/GST/MSMF
* HW acceleration in FFMPEG backend
* fixes on Windows, remove D3D9
* HW acceleration in FFMPEG backend
* fixes on Windows, remove D3D9
* improve va test
* Copyright
* check LIBAVUTIL_BUILD >= AV_VERSION_INT(55, 78, 100) // FFMPEG 3.4+
* CAP_MSMF test on .mp4
* .mp4 in test
* improve va test
* Copyright
* check LIBAVUTIL_BUILD >= AV_VERSION_INT(55, 78, 100) // FFMPEG 3.4+
* CAP_MSMF test on .mp4
* .mp4 in test
* .avi for GStreamer test
* revert changes around seek()
* cv_writer_open_with_params
* params.warnUnusedParameters
* VideoCaptureParameters in GStreamer
* open_with_params
* params->getUnused
* Reduce PSNR threshold 33->32 (other tests use 30)
* require FFMPEG 4.0+; PSNR 30 as in other tests
* GStreamer AVI-demux plugin not installed in Ubuntu test environment?
* fix build on very old ffmpeg
* fix build on very old ffmpeg
* fix build issues
* fix build issues (static_cast)
* FFMPEG built on Windows without H264 encoder?
* fix for write_nothing test on VAAPI
* fix warnings
* fix cv_writer_get_prop in plugins
* use avcodec_get_hw_frames_parameters; more robust fallback to SW codecs
* internal function hw_check_device() for device check/logging
* two separate tests for HW read and write
* image size 640x480 in encode test
* WITH_VA=ON (only .h headers used in OpenCV, no linkage dependency)
* exception on VP9 SW encoder?
* rebase master; refine info message
* videoio: fix FFmpeg standalone plugin build
* videoio(ffmpeg): eliminate MSVC build warnings
* address review comments
* videoio(hw): update videocapture_acceleration.read test
- remove parallel decoding by SW code path
- check PSNR against the original generated image
* videoio: minor fixes
* videoio(test): disable unsupported MSMF cases (SW and HW)
* videoio(test): update PSNR thresholds for HW acceleration read
* videoio(test): update debug messages
* "hw_acceleration" whitelisting parameter
* little optimization in test
* D3D11VA supports decoders, doesn't support encoders
* videoio(test): adjust PSNR threshold in write_read_position tests
* videoio(ffmpeg): fix rejecting on acceleration device name mismatch
* videoio(ffmpeg): fix compilation USE_AV_HW_CODECS=0, add more debug logging
* videoio: rework VideoAccelerationType behavior
- enum is not a bitset
- default value is backend specific
- only '_NONE' and '_ANY' may fallback on software processing
- specific H/W acceleration doesn't fallback on software processing. It fails if there is no support for specified H/W acceleration.
* videoio(test): fix for current FFmpeg wrapper
Co-authored-by: Alexander Alekhin <alexander.a.alekhin@gmail.com>
Instead of being a copy of line 76, line 79 instead correctly indicates that it will show a histogram for a gray image in curve mode, as given by the code block at line 103 referencing image "gray" instead of image "im".
Add DaSiamRPN tracker sample of c++ version
* add sample dasiamrpn_tracker of c++ version.
* samples(dasiamrpn_tracker.cpp): apply clang-format
- exclude "keys" variable
* samples(dasiamrpn_tracker.cpp): coding style and UX fixes
Scripts for downloading models in DNN samples
* Initial commit. Utility classes and functions for downloading files
* updated download script
* Support YAML parsing, update download script and configs
* Fix problem with archived files
* fix models.yml
* Move download utilities to more appropriate place
* Fix script description
* Update README
* update utilities for broader range of files
* fix loading with no hashsum provided
* remove unnecessary import
* fix for Python2
* Add usage examples for downloadFile function
* Add more secure cache folder selection
* Remove trailing whitespaces
* Fix indentation
* Update function interface
* Change function for temp dir, change entry name in models.yml
* Update getCacheDirectory function call
* Return python implementation for cache directory selection, use more specific env variable
* Fix whitespace
[GSoC] High Level API and Samples for Scene Text Detection and Recognition
* APIs and samples for scene text detection and recognition
* update APIs and tutorial for Text Detection and Recognition
* API updates:
(1) put decodeType into struct Voc
(2) optimize the post-processing of DB
* sample update:
(1) add transformation into scene_text_spotting.cpp
(2) modify text_detection.cpp with API update
* update tutorial
* simplify text recognition API
update tutorial
* update impl usage in recognize() and detect()
* dnn: refactoring public API of TextRecognitionModel/TextDetectionModel
* update provided models
update opencv.bib
* dnn: adjust text rectangle angle
* remove points ordering operation in model.cpp
* update gts of DB test in test_model.cpp
* dnn: ensure to keep text rectangle angle
- avoid 90/180 degree turns
* dnn(text): use quadrangle result in TextDetectionModel API
* dnn: update Text Detection API
(1) keep points' order consistent with (bl, tl, tr, br) in unclip
(2) update contourScore with boundingRect