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

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.

Bibliografiset tiedot
Päätekijät:	Uddin, Md. Minhaz, Foysal, Sadi Mahmud, Rahman, Sadia, Risti, Nushara Tazrin, Sarmin, Sanzeda Akter
Muut tekijät:	Rhaman, Dr. Md. Khalilur
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2023
Aiheet:	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.
Linkit:	http://hdl.handle.net/10361/19356

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