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https://hdl.handle.net/2445/174591
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DC Field | Value | Language |
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dc.contributor.advisor | Puertas i Prats, Eloi | - |
dc.contributor.advisor | Verger, Neus, 1964- | - |
dc.contributor.author | Quispe Quispe, Cristopher German | - |
dc.date.accessioned | 2021-03-03T11:49:26Z | - |
dc.date.available | 2021-03-03T11:49:26Z | - |
dc.date.issued | 2020-09-11 | - |
dc.identifier.uri | https://hdl.handle.net/2445/174591 | - |
dc.description | Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2020, Director: Eloi Puertas i Prats i Neus Verger | ca |
dc.description.abstract | [en] This project is based on the creation of an application that allows the end user to consult the database of images of printer’s brands in charge of the Reserve Library of the University of Barcelona and to see images similar to a brand. For this, different methods are used to extract characteristics from the image, then techniques to improve the results obtained and finally, a web development that allows to carry out all the search functionalities. The project is divided into two phases, one of comparison and research and another part of software development for the creation of the application. Throughout the project we will see different technologies used for both the comparison part and for the development part of the final web. In the research and comparison we will see how to extract the descriptive vectors of different models and then compare them to obtain K similar images, which is currently called Transfer learning. Then we will apply a fine tuning to the selected model to improve the results. Once we have this model located we will go to the development of the final application in which consists of two parts: an API using the Django framework to facilitate the work and then the Frontend using the framework of Angular which will serve to show all the images and printers, always taking into account a satisfactory user experience. During the whole project we will experiment with different things that we will see in order to obtain the results we want at the end of the project. | ca |
dc.format.extent | 73 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | spa | ca |
dc.rights | memòria: cc-nc-nd (c) Cristopher German Quispe Quispe, 2020 | - |
dc.rights | codi: GPL (c) Cristopher German Quispe Quispe, 2020 | - |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | - |
dc.rights.uri | http://www.gnu.org/licenses/gpl-3.0.ca.html | * |
dc.source | Treballs Finals de Grau (TFG) - Enginyeria Informàtica | - |
dc.subject.classification | Xarxes neuronals convolucionals | ca |
dc.subject.classification | Visió per ordinador | ca |
dc.subject.classification | Programari | ca |
dc.subject.classification | Treballs de fi de grau | ca |
dc.subject.classification | Aprenentatge automàtic | ca |
dc.subject.classification | Marques tipogràfiques | ca |
dc.subject.classification | Bases de dades web | ca |
dc.subject.classification | Llibres antics | ca |
dc.subject.other | Convolutional neural networks | en |
dc.subject.other | Computer vision | en |
dc.subject.other | Computer software | en |
dc.subject.other | Machine learning | en |
dc.subject.other | Printers' marks | en |
dc.subject.other | Bachelor's theses | en |
dc.subject.other | Web databases | en |
dc.subject.other | Early printed books | en |
dc.title | Aplicatiu per la base de dades de Marques d’impressors per tal de poder detectar imatges similars de marques | ca |
dc.type | info:eu-repo/semantics/bachelorThesis | ca |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca |
Appears in Collections: | Programari - Treballs de l'alumnat Treballs Finals de Grau (TFG) - Enginyeria Informàtica |
Files in This Item:
File | Description | Size | Format | |
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codi.zip | Codi font | 393.17 MB | zip | View/Open |
174591.pdf | Memòria | 8.28 MB | Adobe PDF | View/Open |
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