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Reduce Checkpoint Model Size by 1/2 #14

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sc199505 opened this issue Jun 4, 2020 · 3 comments
Closed

Reduce Checkpoint Model Size by 1/2 #14

sc199505 opened this issue Jun 4, 2020 · 3 comments
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enhancement New feature or request Stale

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@sc199505
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sc199505 commented Jun 4, 2020

Thank you for your work, When using your own data for training, we found that the generated weight file is about 52MB , but the provided model is only about 27MB, What's the difference?

@sc199505 sc199505 added the enhancement New feature or request label Jun 4, 2020
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github-actions bot commented Jun 4, 2020

Hello @sc199505, thank you for your interest in our work! Please visit our Custom Training Tutorial to get started, and see our Google Colab Notebook, Docker Image, and GCP Quickstart Guide for example environments.

If this is a bug report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you.

If this is a custom model or data training question, please note that Ultralytics does not provide free personal support. As a leader in vision ML and AI, we do offer professional consulting, from simple expert advice up to delivery of fully customized, end-to-end production solutions for our clients, such as:

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@glenn-jocher
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yolov5/utils/utils.py

Lines 549 to 555 in 0362f10

def strip_optimizer(f='weights/best.pt'): # from utils.utils import *; strip_optimizer()
# Strip optimizer from *.pt files for lighter files (reduced by 1/2 size)
x = torch.load(f, map_location=torch.device('cpu'))
x['optimizer'] = None
torch.save(x, f)
print('Optimizer stripped from %s' % f)

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github-actions bot commented Aug 1, 2020

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

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