Comments (1)
@2375963934a hello! Thanks for reaching out. 😊 To boost your YOLOv5-seg model training speed with a low GPU utilization issue, here are a few tips that might help:
- Batch Size: Increase your batch size as much as your GPU memory allows. This often leads to better GPU utilization.
- Workers: Increase the number of workers in your dataloader. Try setting it to 2x the number of your CPU cores.
- Mixed Precision Training: Use mixed precision training by setting
--amp
flag, which can significantly improve training speed with minimal impact on accuracy. - Image Size: Training on smaller images can speed things up. Ensure the size is divisible by 64 (e.g., 640, 320).
- Optimizer: Experiment with different optimizers. Sometimes, changing the optimizer can affect training speed.
Code snippet example for training command with mixed precision:
python train.py --img 640 --batch 16 --epochs 100 --data your_dataset.yaml --weights yolov5s.pt --amp
Adjust the parameters according to your specific hardware and dataset for optimal performance. 🚀
Remember, finding the right balance specific to your setup might require a bit of experimentation. Good luck!
from yolov5.
Related Issues (20)
- Error loading self trained model HOT 4
- Image not found error HOT 1
- RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 16 but got size 32 for tensor number 1 in the list. HOT 1
- How to do instance segmention on video or streaming data HOT 2
- Multi-GPU train HOT 1
- No labels in D:\yolov5\datasets\img\train.cache. Can not train without labels HOT 2
- Manual Execution HOT 2
- Add ghost modules into tf.py for exporting yolov5s-ghost.pt to tensorflow saved_model or tflite HOT 2
- polygon annotation to object detection HOT 1
- FP16推理TensorRT报错,使用python export.py --weights yolov5s.onnx --include engine --half --device 0 HOT 2
- The prediction of Yolov5 HOT 2
- yolo:latest image opencv waiting "xcb" code error? HOT 15
- Similar Dataloader in yolov5 HOT 3
- Regarding predictions of yolov5 HOT 5
- Example "detect.py" get somesthing wrong HOT 3
- Extremely low precision but high mAP HOT 2
- Can yolov5 use as a part of commercial project , if so do we need to open-source the code or the whole project ? HOT 8
- ValueError: not enough values to unpack (expected 3, got 0) YOLOv5_obb HOT 5
- is there a max limit to --imgsz ? HOT 6
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from yolov5.