On Demand Image Rescaling (ODIR) / (Record no. 611876)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01668nam a22001697a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | NUST |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 621.382,ALI |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Ali, Rauf |
| 9 (RLIN) | 126118 |
| 245 ## - TITLE STATEMENT | |
| Title | On Demand Image Rescaling (ODIR) / |
| Statement of responsibility, etc. | Rauf Ali, M. Umer Javed, Usama Bin Akhtar, Malik Muneeb Ur Rehman |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | MCS, NUST |
| Name of publisher, distributor, etc. | Rawalpindi |
| Date of publication, distribution, etc. | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 60 p |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 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. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | UG EE Project |
| 9 (RLIN) | 118090 |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME | |
| Geographic name | BEE-57 |
| 9 (RLIN) | 125983 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervisor Dr. Attiq Ahmad |
| 9 (RLIN) | 126119 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Project Report |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Military College of Signals (MCS) | Military College of Signals (MCS) | General Stacks | 09/26/2024 | 621.382,ALI | MCSPTC-466 | 09/26/2024 | 09/26/2024 | Project Report |