OpenCV 4.3.0 已釋出!
釋出亮點
- dnn 模組的改進
- Tengine 庫整合以加速 ARM
- 現在預設使用 nGraph OpenVINO API
- 效能改進
- SIMD:調整大小,積分
- IPP-ICV 版本已更新至 2020.0.0
- 包含由推理引擎 (DLDT) 加速的 dnn 模組的新 Win 包
- 新的霍夫圓演算法實現
- Alpha 遮罩模組
- RAPID 影片速率目標跟蹤器實現
- OpenJPEG 庫整合以支援 JPEG2000
- SIFT 檢測器已從非免費演算法集中排除
更多詳細資訊可以在 變更日誌 中找到。
大多數錯誤修復和改進已進入 3.4 和 master 分支。
貢獻者
非常感謝所有貢獻者(這是補丁作者的不完整列表;如果您貢獻了但沒有看到您的姓名,請報告)
opencv
Alexander Alekhin, Liubov Batanina, Dmitry Kurtaev, Maksim Shabunin, YashasSamaga, Vadim Pisarevsky, Alexander Smorkalov, Anton Potapov, [email protected], Anatoliy Talamanov, Hannes Achleitner, Maxim Pashchenkov, Gourav Roy, Vadim Levin, Yashas Samaga B L, Alexander Duda, Chip Kerchner, Collin Brake, Ganesh Kathiresan, Julien, Peter Würtz, Sayed Adel, Andrey Golubev, Brian Wignall, Dizhenin Vlad, Dmitry Matveev, Ilya Lavrenov, Moritz Fischer-Gundlach, NesQl, Pavel Rojtberg, Polina Smolnikova, Rajkiran Natarajan, StefanBruens, berak, catree, cyy, hannesa2, Aditya Kumar, Alexey Smirnov, Andrei-Florin BENCSIK, Andrew Bruce, Arnaud Brejeon, Augusto Fraga Giachero, Christoph Schmidt-Hieber, Eduard Trulls, Elizarov Ilya, Gagandeep Singh, Ianaré Sévi, Igor Murzov, Ivan Galanin, Jan Solanti, Janusz Lisiecki, Jed, Julien Maille, Karl Liu, Khem Raj, Manoj Gupta, Miguel Pari Soto, MoonChasing, Muhammad Taha, Niklas Hambüchen, Nuzhny007, Omar Hassan, Paul E. Murphy, Pierre Letessier, Pratik Raj, RAJKIRAN NATARAJAN, Samuel Thibault, Smirnov Alexey, Suleyman TURKMEN, Talamanov, Anatoliy, Tomoaki Teshima, Yuhel Tanaka, Yuriy Obukh, Zach Lowry, ankit6979, atinfinity, baka-gori, cudawarped, firebladed, gapry, h6197627, ihsan314, iteal, jshiwam, keeper121, midjji, olramde, rayonnant14, sajarindider
opencv_contrib
Alexander Alekhin, Pavel Rojtberg, Alexander Smorkalov, Ayush Garg, catree, David Geldreich, Gagandeep Singh, Igor Murzov, Kunal Tyagi, Lim, Maksim Shabunin, Miloš Komarčević, RAJKIRAN NATARAJAN, Rostislav Vasilikhin, Tobias Senst, Vishal Chiluka, Xavier Weber, akashsharma02, atinfinity, berak, cudawarped, jshiwam, raanyild, shimat, sunitanyk
下載 OpenCV 4.3.0
包含由推理引擎 (DLDT) 加速的 dnn 模組的 Win 包 (適用於 AVX2 平臺)



