Conversion of Yolov5x to yolov5s weights

sriramk146 commented 1 year ago

Search before asking

[X] I have searched the YOLOv5 issues and found no similar feature requests.

Description

I have Memory issue in prediction code, due to model got trained with larger weight (Yolov5x.pt). Could it be possible for converting Larger (yolov5x) to Smaller (yolov5s) weights for same trained checkpoint?

Use case

Decrease memory consumption.

Additional

Faster prediction.

Are you willing to submit a PR?

[ ] Yes I'd like to help by submitting a PR!

github-actions[bot] commented 1 year ago

👋 Hello @sriramk146, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

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 training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available.

For business inquiries or professional support requests please visit https://ultralytics.com or email support@ultralytics.com.

Requirements

Python>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

git clone https://github.com/ultralytics/yolov5  # clone
cd yolov5
pip install -r requirements.txt  # install

Environments

YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

Notebooks with free GPU:
Google Cloud Deep Learning VM. See GCP Quickstart Guide
Amazon Deep Learning AMI. See AWS Quickstart Guide
Docker Image. See Docker Quickstart Guide

Status

If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training, validation, inference, export and benchmarks on MacOS, Windows, and Ubuntu every 24 hours and on every commit.

glenn-jocher commented 1 year ago

@sriramk146 I'd train a smaller model.

sriramk146 commented 1 year ago

ofcourse, I accept re-training of model with smaller weights. I have checkpoint of my model which was trained for 10 hours using larger pre-trained weights ( i.e. Yolov5x.pt). Now, I need to convert this trained checkpoint to a smaller weight file (which will be as like trained model with YoloV5s.pt), Since, I don't want to spend few more hours of training a model again. Could it be possible?

github-actions[bot] commented 1 year ago

👋 Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs.

Access additional YOLOv5 🚀 resources:

Wiki – https://github.com/ultralytics/yolov5/wiki
Tutorials – https://docs.ultralytics.com/yolov5
Docs – https://docs.ultralytics.com

Access additional Ultralytics ⚡ resources:

Ultralytics HUB – https://ultralytics.com/hub
Vision API – https://ultralytics.com/yolov5
About Us – https://ultralytics.com/about
Join Our Team – https://ultralytics.com/work
Contact Us – https://ultralytics.com/contact

Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!

Thank you for your contributions to YOLOv5 🚀 and Vision AI ⭐!

glenn-jocher commented 12 months ago

@sriramk146 got it. Currently, there's no built-in method for converting a model checkpoint from YOLOv5x to YOLOv5s directly. A retraining with the smaller model is recommended for optimal results.

ultralytics / yolov5