OpenCV

Open Computer Vision Library

Releases

* OpenCV – 4.11.0

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2025-02-18

* OpenCV – 4.10.0

2024-06-03

OpenCV – 4.9.0

2023-12-28

OpenCV – 4.8.1

2023-09-27

OpenCV – 4.8.0

2023-07-02

OpenCV – 4.7.0

2022-12-29

OpenCV – 4.6.0

2022-06-12

OpenCV – 4.5.5

2021-12-30

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Intel

Intel is a multinational corporation known for its semiconductor products, including processors that power a wide range of computing devices, from personal computers to servers and embedded systems.

Qualcomm

Qualcomm is a global leader in mobile technology, known for developing chips and technologies that power mobile devices and wireless communication. Their innovations span across smartphones, tablets, automotive, and IoT devices, enhancing connectivity and performance.

Google Summer of Code

Google Summer of Code is a global program sponsored by Google that offers stipends to university students for working on open source projects during the summer.

Arm

Arm Holdings is a semiconductor and software design company known for its RISC (Reduced Instruction Set Computing) architecture, which is used in a wide range of electronic devices including smartphones, tablets, and embedded systems.

RunPod

RunPod offers a platform for easily accessing and managing compute resources in the cloud, providing flexible and scalable solutions for various computational needs, including AI and machine learning workloads.

orbbec

Orbbec

Orbbec specializes in 3D sensing technology and develops advanced depth-sensing cameras and devices that enable applications in robotics, gaming, and interactive experiences.

Roboflow

Roboflow provides a platform for computer vision, offering tools to manage, annotate, and deploy machine learning models for image recognition and analysis.

Khadas

Khadas designs and manufactures high-performance, open-source hardware for various applications, including single-board computers, media players, and AI accelerators.

Hackster.io

Hackster.io is an online community for hardware hackers, makers, and engineers to share their projects, collaborate, and find resources for building innovative hardware and IoT solutions.

Tangram Vision

Tangram Vision offers advanced computer vision solutions and services, specializing in providing AI-driven insights and analysis for various industries and applications.

Amped Software

Amped Software provides digital forensic and security solutions for analyzing and processing digital evidence, offering tools for image and video enhancement, analysis, and investigation.

Intuitivo

Intuitivo specializes in AI and machine learning solutions, focusing on developing innovative tools and technologies to drive intelligent decision-making and automation.

Dronecode

Dronecode is an open-source platform for drone development, providing a collaborative environment for creating and enhancing drone software and hardware solutions.

Edge AI Vision

Edge AI Vision

Edge AI Vision focuses on the development and application of artificial intelligence at the edge, enabling advanced visual perception and analysis in various devices.

Big Vision

Big Vision

Big Vision provides cutting-edge solutions for computer vision and AI, specializing in high-performance imaging and machine learning applications.

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`; return ret_str; }, 10, 4); } elementorFrontend.hooks.addAction('frontend/element_ready/form.default', function () { window.loop_cntr = 0; jQuery('head').append(''); Dropzone.autoDiscover = false; searchDropZoneContainer(); }); }); } else { setTimeout(testjStartklarDropZoneJQueryExist, 100); } } function searchDropZoneContainer() { if (window.loop_cntr > 100) { return; } if (jQuery(".dropzone_container").length) { jQuery(".dropzone_container").each(function (index) { if (!jQuery(this).hasClass("dz-clickable")) { let settings = jQuery(this).data("serializeArr"); const dropzoneHash = settings.dropzone_hash; const default_settings = { allowed_file_types_for_upload: "*.jpg, *.pdf", files_amount: 1, maximum_upload_file: "10", uploaded_files_storage_path: "", button_message: "Ziehen Sie Ihre Dateien hierher
und legen Sie sie dort ab oder klicken Sie,
um eine Datei auszuwählen" } settings = Object.assign(default_settings, settings); jQuery(this).dropzone({ url: "https://opencv.org/wp-admin/admin-ajax.php?action=startklar_drop_zone_upload_process", addRemoveLinks: true, dictDefaultMessage: settings["button_message"], dictRemoveFile: '', dictCancelUpload: '', init: function () { dzClosure = this; this.on("sending", function (file, xhr, formData) { function appendUniqueHash() { let hashKey; do { const randomSuffix = Math.floor(Math.random() * 1000); hashKey = `hash_${randomSuffix}`; } while (formData.has(hashKey)); formData.append(hashKey, dropzoneHash); } appendUniqueHash(); }); }, removedfile: function (file) { const fileName = file.name; const input_val = jQuery(this.element).closest("form").find("input.dropzone_hash").val(); const json_obj = JSON.parse(input_val); const hash = json_obj["dropzone_hash"]; jQuery.post("https://opencv.org/wp-admin/admin-ajax.php?action=startklar_drop_zone_upload_process", {mode: "remove", hash: hash, fileName: fileName}, function (data) { } ); if (file.previewElement != null && file.previewElement.parentNode != null) { file.previewElement.parentNode.removeChild(file.previewElement); } return this._updateMaxFilesReachedClass(); }, maxFilesize: settings["maximum_upload_file"], maxFiles: settings["files_amount"], acceptedFiles: settings["allowed_file_types_for_upload"] }); } const p_form = this.closest("form"); if (typeof p_form !== "undefined") { jQuery(p_form).on('submit_success', function () { jQuery(this).find(".dropzone_container").each(function (index, element) { const objDZ = Dropzone.forElement(this); objDZ.emit("reset"); objDZ.removeAllFiles(true); }) }); } }); } else { setTimeout(searchDropZoneContainer, 100); window.loop_cntr++; } } const MD5 = function (d) { result = M(V(Y(X(d), 8 * d.length))); return result.toLowerCase() }; function M(d) { for (var _, m = "0123456789ABCDEF", f = "", r = 0; r < d.length; r++) _ = d.charCodeAt(r), f += m.charAt(_ >>> 4 & 15) + m.charAt(15 & _); return f } function X(d) { for (var _ = Array(d.length >> 2), m = 0; m < _.length; m++) _[m] = 0; for (m = 0; m < 8 * d.length; m += 8) _[m >> 5] |= (255 & d.charCodeAt(m / 8)) << m % 32; return _ } function V(d) { for (var _ = "", m = 0; m < 32 * d.length; m += 8) _ += String.fromCharCode(d[m >> 5] >>> m % 32 & 255); return _ } function Y(d, _) { d[_ >> 5] |= 128 << _ % 32, d[14 + (_ + 64 >>> 9 << 4)] = _; for (var m = 1732584193, f = -271733879, r = -1732584194, i = 271733878, n = 0; n < d.length; n += 16) { var h = m, t = f, g = r, e = i; f = md5_ii(f = md5_ii(f = md5_ii(f = md5_ii(f = md5_hh(f = md5_hh(f = md5_hh(f = md5_hh(f = md5_gg(f = md5_gg(f = md5_gg(f = md5_gg(f = md5_ff(f = md5_ff(f = md5_ff(f = md5_ff(f, r = md5_ff(r, i = md5_ff(i, m = md5_ff(m, f, r, i, d[n + 0], 7, -680876936), f, r, d[n + 1], 12, -389564586), m, f, d[n + 2], 17, 606105819), i, m, d[n + 3], 22, -1044525330), r = md5_ff(r, i = md5_ff(i, m = md5_ff(m, f, r, i, d[n + 4], 7, -176418897), f, r, d[n + 5], 12, 1200080426), m, f, d[n + 6], 17, -1473231341), i, m, d[n + 7], 22, -45705983), r = md5_ff(r, i = md5_ff(i, m = md5_ff(m, f, r, i, d[n + 8], 7, 1770035416), f, r, d[n + 9], 12, -1958414417), m, f, d[n + 10], 17, -42063), i, m, d[n + 11], 22, -1990404162), r = md5_ff(r, i = md5_ff(i, m = md5_ff(m, f, r, i, d[n + 12], 7, 1804603682), f, r, d[n + 13], 12, -40341101), m, f, d[n + 14], 17, -1502002290), i, m, d[n + 15], 22, 1236535329), r = md5_gg(r, i = md5_gg(i, m = md5_gg(m, f, r, i, d[n + 1], 5, -165796510), f, r, d[n + 6], 9, -1069501632), m, f, d[n + 11], 14, 643717713), i, m, d[n + 0], 20, -373897302), r = md5_gg(r, i = md5_gg(i, m = md5_gg(m, f, r, i, d[n + 5], 5, -701558691), f, r, d[n + 10], 9, 38016083), m, f, d[n + 15], 14, -660478335), i, m, d[n + 4], 20, -405537848), r = md5_gg(r, i = md5_gg(i, m = md5_gg(m, f, r, i, d[n + 9], 5, 568446438), f, r, d[n + 14], 9, -1019803690), m, f, d[n + 3], 14, -187363961), i, m, d[n + 8], 20, 1163531501), r = md5_gg(r, i = md5_gg(i, m = md5_gg(m, f, r, i, d[n + 13], 5, -1444681467), f, r, d[n + 2], 9, -51403784), m, f, d[n + 7], 14, 1735328473), i, m, d[n + 12], 20, -1926607734), r = md5_hh(r, i = md5_hh(i, m = md5_hh(m, f, r, i, d[n + 5], 4, -378558), f, r, d[n + 8], 11, -2022574463), m, f, d[n + 11], 16, 1839030562), i, m, d[n + 14], 23, -35309556), r = md5_hh(r, i = md5_hh(i, m = md5_hh(m, f, r, i, d[n + 1], 4, -1530992060), f, r, d[n + 4], 11, 1272893353), m, f, d[n + 7], 16, -155497632), i, m, d[n + 10], 23, -1094730640), r = md5_hh(r, i = md5_hh(i, m = md5_hh(m, f, r, i, d[n + 13], 4, 681279174), f, r, d[n + 0], 11, -358537222), m, f, d[n + 3], 16, -722521979), i, m, d[n + 6], 23, 76029189), r = md5_hh(r, i = md5_hh(i, m = md5_hh(m, f, r, i, d[n + 9], 4, -640364487), f, r, d[n + 12], 11, -421815835), m, f, d[n + 15], 16, 530742520), i, m, d[n + 2], 23, -995338651), r = md5_ii(r, i = md5_ii(i, m = md5_ii(m, f, r, i, d[n + 0], 6, -198630844), f, r, d[n + 7], 10, 1126891415), m, f, d[n + 14], 15, -1416354905), i, m, d[n + 5], 21, -57434055), r = md5_ii(r, i = md5_ii(i, m = md5_ii(m, f, r, i, d[n + 12], 6, 1700485571), f, r, d[n + 3], 10, -1894986606), m, f, d[n + 10], 15, -1051523), i, m, d[n + 1], 21, -2054922799), r = md5_ii(r, i = md5_ii(i, m = md5_ii(m, f, r, i, d[n + 8], 6, 1873313359), f, r, d[n + 15], 10, -30611744), m, f, d[n + 6], 15, -1560198380), i, m, d[n + 13], 21, 1309151649), r = md5_ii(r, i = md5_ii(i, m = md5_ii(m, f, r, i, d[n + 4], 6, -145523070), f, r, d[n + 11], 10, -1120210379), m, f, d[n + 2], 15, 718787259), i, m, d[n + 9], 21, -343485551), m = safe_add(m, h), f = safe_add(f, t), r = safe_add(r, g), i = safe_add(i, e) } return Array(m, f, r, i) } function md5_cmn(d, _, m, f, r, i) { return safe_add(bit_rol(safe_add(safe_add(_, d), safe_add(f, i)), r), m) } function md5_ff(d, _, m, f, r, i, n) { return md5_cmn(_ & m | ~_ & f, d, _, r, i, n) } function md5_gg(d, _, m, f, r, i, n) { return md5_cmn(_ & f | m & ~f, d, _, r, i, n) } function md5_hh(d, _, m, f, r, i, n) { return md5_cmn(_ ^ m ^ f, d, _, r, i, n) } function md5_ii(d, _, m, f, r, i, n) { return md5_cmn(m ^ (_ | ~f), d, _, r, i, n) } function safe_add(d, _) { var m = (65535 & d) + (65535 & _); return (d >> 16) + (_ >> 16) + (m >> 16) << 16 | 65535 & m } function bit_rol(d, _) { return d << _ | d >>> 32 - _ } });