Training a YOLOv3 network on own dataset, saving it and loading it again.
1 vue (au cours des 30 derniers jours)
Afficher commentaires plus anciens
I am working on YOLOv3 example. https://www.mathworks.com/help/vision/ug/object-detection-using-yolo-v3-deep-learning.html#ObjectDetectionUsingYOLOV3DeepLearningExample-7
Given Data:
I have dataset of almost 5000 images. I want to train my network(by giving it 200 images information) at one time. until it reaches a certain point after training where on testing the network it gives desired outputs.
QUESTION:
So, when implementing this, i have to save my network so that i can load it in for next time for further training.
% This is for the time, when i have trained my yolo network for first time.
save('yolov3trainednetworkimg1_220.mat','net');
% Since i have to train again, so here i am loading this file and net will again go for training.
load('yolov3trainednetworkimg1_220.mat')
net=pretrained.net;
Will this work correctly ? For the purpose i want ? Is it possible ?
0 commentaires
Réponses (0)
Voir également
Catégories
En savoir plus sur Deep Learning Toolbox dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!