Real-time garments defects detection at the sewing phase to optimize waste cost using YOLOv7, YOLOv7x, YOLOv7-w6 and Pytorch

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Detalles Bibliográficos
Main Authors:	Uddin, Md. Minhaz, Foysal, Sadi Mahmud, Rahman, Sadia, Risti, Nushara Tazrin, Sarmin, Sanzeda Akter
Outros autores:	Rhaman, Dr. Md. Khalilur
Formato:	Thesis
Idioma:	English
Publicado:	Brac University 2023
Subjects:	TILDA YOLOv7 YOLOv7x YOLOv7-W6 CNN RCNN DCNN Faster-RCNN Neural Networks Real-Time Computer vision Fault Defect Detection Garments Hole Stitch Seam Roboflow Signal detection.
Acceso en liña:	http://hdl.handle.net/10361/19356

Descripción
Summary:	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

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