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857 Commits (c3e88a717e9eb416e7ec780d44a477d26a10928b)

Author SHA1 Message Date
Vladimir c3e88a717e Fixed segmentation fault error in TRACK_vot::getNextFrame()
10 years ago
Vladimir 4660302330 Fixed argument dataset index in examples
10 years ago
Vladimir 211451c837 Fixes in modules/datasets/src/track_vot.cpp
10 years ago
Vladimir d24582938b Update for multiTracker_test.cpp->multiTracker_dataset.cpp
10 years ago
Vladimir ad93daa63b Fix char*->String in create method
10 years ago
Vladimir 2baae4fa37 Fix documentation
10 years ago
Vladimir 0cf96b42b6 Added example to help message
10 years ago
Vladimir eecbe625ad Fix #1
10 years ago
Vladimir 3a8d3c83cb Added documentation for VOT2015 dataset
10 years ago
Vladimir 727ff5b287 Fix whitespace in modules/datasets/src/track_vot.cpp
10 years ago
Vladimir fd040a1ee6 Fix messages in tracker_dataset.cpp
10 years ago
Vladimir d8212d3c87 Update for tld_test.cpp->tracker_dataset.cpp
10 years ago
Vladimir af5bbbcebb Add Datasets dependency to Tracking module
10 years ago
Vladimir 722f772817 Fix: - Get dataset path form *args
10 years ago
Vladimir a38145dcec Added VOT2015 Dataset interface + VOT2015 sample cpp
10 years ago
Vladimir 94447d5160 Restored *protected:*' in tracker.hpp
10 years ago
Vladimir f16586f81b Cleaning up debug prints/variables/flags/timers
10 years ago
Vladimir 4537103c3a Added Doxygen documentation
10 years ago
Vladimir 190d2dcf85 Warnings Fix #3
10 years ago
Vladimir 167712b85d Warnings Fix #2
10 years ago
Vladimir 7e934bf182 Warnings Fix #1
10 years ago
Vladimir 54f7c10a69 Added OpenCV lincense and "precomp.hpp"
10 years ago
Vladimir 6b58922d5f Removed inline specifiers
10 years ago
Vladimir 365722e5e9 Fixed spaces in >>
10 years ago
Vladimir d310f82e41 Added MO-TLD NN Classifier optimization on GPU
10 years ago
Vladimir ed1c452dcf Fixed pointers to posNum and negNum
10 years ago
Vladimir 0e14ca7816 Fixed some init BB
10 years ago
Vladimir 6a1bf675ca Fix std::vector <Ptr<Tracker> >
10 years ago
Vladimir 96ce5993fb Added multiTracker.hpp (fix)
10 years ago
Vladimir 2088e5e6f9 Improved VF optimization + Added EC optimization for MO-TLD
10 years ago
Vladimir b318e38bd0 Debug through candidates display
10 years ago
Vladimir ada268148d Added VOT 2015 dataset support
10 years ago
Vladimir 871f40cb5b Added optimization to Multi-target TLD update
10 years ago
Vladimir cac774cbfc Added Multi-tracker functionality and example
10 years ago
Vladimir 9ff31c4f60 Added OpenCV lincense and "precomp.hpp"
10 years ago
Vladimir b42cad6cc1 Removed inline specifiers
10 years ago
Vladimir e8a23dbb22 Fixed spaces in >>
10 years ago
Vladimir 59b18dcfab Added MO-TLD NN Classifier optimization on GPU
10 years ago
Vladimir 23acf6d2cd Fixed pointers to posNum and negNum
10 years ago
Vladimir ae73daf6d0 Fixed some init BB
10 years ago
Vladimir b412fbde18 Fix std::vector <Ptr<Tracker> >
10 years ago
Vladimir 8749c49a00 Added multiTracker.hpp (fix)
10 years ago
Vladimir 19ea564486 Improved VF optimization + Added EC optimization for MO-TLD
10 years ago
Vladimir 162a65854e Debug through candidates display
10 years ago
Vladimir ae1669918f Added VOT 2015 dataset support
10 years ago
Lluis Gomez-Bigorda 796c26f68a Fix w64 warnings
10 years ago
Lluis Gomez-Bigorda 1481194b54 Fix w64 warnings
10 years ago
Lluis Gomez-Bigorda 2315f9ca22 Minor bugfix: removes unwanted space character at the begining of recognition output strings.
10 years ago
Lluis Gomez-Bigorda 2538bf74a6 Adds example on segmented word recognition. Shows the use of the OCRHMMDecoder with the NM and CNN default classifiers.
10 years ago
lluis ee677a255b Overload the run() method in BaseOCR class in order to adapt to different classifier callbacks. The original run() method accepts only one Mat input image, this is expected to be a binarzed image with black and white text and works both with the OCRTesseract class and the OCRHMMDecoder class when the character classifier callback works with binary images (e.g. NM). The new run() method accepts two Mat input parameters. One for the gray scale (or color) source image and the other for a binary mask where each connected component corresponds to a pre-segmented character in the input image. This way the OCRHMMDecoder is able to work with character classifiers that operate in grey scale (or color) images (e.g. a CNN).
10 years ago