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Continuous practices, i.e., continuous integration, delivery, and deployment, are the software development industry practices that enable organizations to frequently and reliably release new features and products. CI/CD is the best practice for teams using a DevOps methodology and is best suited to agile methodologies. CI/CD automates code integration and delivery, allowing software development teams to focus more on business requirements. Implementing CI/CD and automating the delivery process fromapplication development to the live environment using pipelines, reducing the time and errors during manual delivery, the previously mentioned high-quality and reliable software products are delivered to the end user.This work will automate the workflow of software products from development to supply and delivery using pipelines.
Монголчуудын уламжлалт соёлын судлагдахуунд хээ угалз голлох байр суурийг эзэлдэг бөгөөд утга билэгдлийг тодруулан харуулж эдлэл хэрэгсэл, хувцас, чимэглэлийн зүйл дээр олон зууны турш хэрэглэсээр ирсэн билээ. Энэ соёлын улбаа нь Монголчуудын эдлэл хэрэглэлээр зогсохгүй мал аж ахуй тэр дундаа адууны тамганы дүрстэй холбоо хамааралтай эсэхийг энэ удаагийн судалгаагаараа хийхийг зорьлоо. Ингэсэнээр дүрс тэмдэгийн уламжлалыг харуулах, цаашид Монгол үндэсний хэв шинж бүхий дизайныг бүрдүүлэхэд хээ чимэглэлийн элементийн гүйцэтгэх үүрэг, цар хүрээг өртгөтгөх, нэгдсэн судалгааны сан бүрдүүлэх, нийтэд таниулах түгээн дэлгэрүүлэх ач холбогдолтой гэж үзэж байна.
Accuracy of the motion estimations is highly depending on inlier corresponding points which is computed from RANSAC (Random Sample Consensus) based methods. In this study, we compared four RANSAC based methods to estimate exact corresponding points such as essential matrix based RANSAC method, homography matrix based RANSAC method, relative orientation based RANSAC method, and homography based relative orientation based RANSAC method. Firstly, we captured image sequences of a moving object. Secondly, to track motion of the object, we estimate corresponding points between object image template at t 1 time and object image frames at t 2 time. The corresponding points are computed from the four RANSAC based methods. Finally, we analyzed robustness and accuracy of the methods. We showed that homography matrix based RANSAC and homography based relative orientation based RANSAC methods are produced more accurate results for planar object sequences. Essential matrix based RANSAC and relative orientation based RANSAC methods are produced more accurate results for 3D object sequences.
