Sökning: "YOLOv7"

Visar resultat 1 - 5 av 7 uppsatser innehållade ordet YOLOv7.

  1. 1. Robust Object Recognition and Tracking with Drones

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Jiaying Wu; [2024]
    Nyckelord :;

    Sammanfattning : The Skara Skyddsängel project explores an innovative method of providing illumination for cyclists along a 20km unlit bike lane using drones. Current GNSS approach performs generally well but further improvements are need for better robustness. Consequently, this thesis project is raised to seek a robust solution in the field of computer vision. LÄS MER

  3. 2. IDENTIFICATION OF ENVIRONMENTALLY RELEVANT BENTHIC FORAMINIFERA FROM THE SKAGERRAK FJORDS BY DEEP LEARNING IMAGE MODELING

    Master-uppsats, Göteborgs universitet / Institutionen för biologi och miljövetenskap

    Författare :Marko Plavetic; [2023-06-26]
    Nyckelord :benthic foraminifera; deep learning; environmental monitoring; YOLOv7;

    Sammanfattning : Over the several past decades, there has been increasing interest in using foraminifera as environmental indicators for coastal marine environments. As compared to macrofauna, which are currently used in environmental studies, foraminifera offer several distinct advantages as bioindicators, including short generation times, a high number of individuals per small sample volume, hard and durable tests with high preservation potential, and low cost of sample extraction. LÄS MER

  4. 3. Structure from Motion with a Neural Network

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Jiarong Gong; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : This project delves into the 3D reconstruction of both single and multiple rigid motions, examining the potential of deep learning methods, such as that proposed by Moran et al., to supplant traditional geometry-based approaches. The project is structured into two main parts. LÄS MER

  5. 4. A Comparison of Advanced DeepLearning Algorithms for Multi-digit Detection in Historical Documents

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Manaswini Chethireddy; Sai Teja Palla; [2023]
    Nyckelord :Deep Learning Methods; Handwritten digits; Digit Detection; Image processing on document images; YOLOV5; Faster R-CNN; RetinaNet; YOLOV7;

    Sammanfattning : Background: Historical handwritten documents are assets for future generations and should be appropriately secured, so handwritten digit detection plays an important role to preserve them. Handwritten digit detection is a fundamental problem and has been studied extensively for many years. LÄS MER

  7. 5. A Comparison Between KeyFrame Extraction Methods for Clothing Recognition

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Datalogi

    Författare :Gabriel Lindgren; [2023]
    Nyckelord :key frame extraction; video analyzis; yolo; yolov7; optical flow; nyckelbildutvinning; videoanalys; yolo; yolov7; optiskt flöde;

    Sammanfattning : With an ever so high video consumption, applications and services need to use smart approaches to make the experience better for their users. By using key frames from a video, useful information can be retrieved regarding the entire video, and used for better explaining the content. LÄS MER