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On Demand Image Rescaling (ODIR)

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dc.contributor.author Ali, Rauf
dc.contributor.author Javed, Muhammad Umer
dc.contributor.author Akhtar, Usama Bin
dc.contributor.author Rehman, Malik Muneeb Ur
dc.contributor.author Supervised by Dr. Attiq Ahmad
dc.date.accessioned 2025-02-13T08:54:35Z
dc.date.available 2025-02-13T08:54:35Z
dc.date.issued 2024-06
dc.identifier.other PTC-466
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/49876
dc.description.abstract This project presents an HTTP-based image transformation service. The service supports various transformation operations, such as resizing, cropping, rotating, and filtering. The goal of the project is to develop and implement a RESTful API for the corresponding service that will enable users to request transformations of images by sending HTTP requests. One can view the project as a kind of a set of tools that help to process images online. The implementation of the project is in Python programming language and makes use of a popular micro web framework called Flask. Users who have registered for the service receive their unique API keys that they use to authenticate themselves and gain access to the API endpoints. The project allows users to upload files and indicate URL to the image for it to be processed. Apart from resizing and rotation, filtering options allow users to change an image the way they want in terms of processing. Besides, the project has ensured that it is easy to integrate with other applications by providing SDKs and complete documentation. Therefore, On Demand Image Rescaling is highly available and flexible software for image processing tasks. en_US
dc.language.iso en en_US
dc.publisher MCS en_US
dc.title On Demand Image Rescaling (ODIR) en_US
dc.type Project Report en_US


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