Welcome to MMYOLO’s documentation!¶
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Get Started
Recommended Topics
- Contributing to OpenMMLab
- Training testing tricks
- Model design instructions
- Algorithm principles and implementation
- MMYOLO application examples
- Replace the backbone network
- Model Complexity Analysis
- Annotation-to-deployment workflow for custom dataset
- 1. Prepare custom dataset
- 2. Use the software of labelme to annotate
- 3. Convert the dataset into COCO format
- 4. Divide dataset into training set, validation set and test set
- 5. Create a new config file based on the dataset
- 6. Visual analysis of datasets
- 7. Optimize Anchor size
- 8. Visualization the data processing part of config
- 9. Train
- 10. Inference
- 11. Deployment
- Appendix
- Visualization
- MMDeploy deployment tutorial
- EasyDeploy deployment tutorial
- Troubleshooting steps for common errors
- MM series repo essential basics
- Dataset preparation and description
Common Usage
- Resume training
- Automatic mixed precision(AMP)training
- Multi-scale training and testing
- TTA Related Notes
- Plugins
- Freeze layers
- Output prediction results
- Set the random seed
- Module combination
- Use mim to run scripts from other OpenMMLab repositories
- Apply multiple Necks
- Specify specific GPUs during training or inference
- Single and multi-channel application examples
Useful Tools
Basic Tutorials
- Learn about Configs with YOLOv5
- Mixed image data augmentation update
- Customize Installation
- Common Warning Notes
- Frequently Asked Questions
- Why do we need to launch MMYOLO?
- What is the projects folder used for?
- Why does the performance drop significantly by switching the YOLOv5 backbone to Swin?
- How to use the components implemented in all MM series repositories?
- Can pure background pictures be added in MMYOLO for training?
- Is there a script to calculate the inference FPS in MMYOLO?
- What is the difference between MMDeploy and EasyDeploy?
- How to check the AP of every category in COCOMetric?
- Why doesn’t MMYOLO support the auto-learning rate scaling feature as MMDet?
- Why is the weight size of my trained model larger than the official one?
- Why does the RTMDet cost more graphics memory during the training than YOLOv5?
- Do I need to reinstall MMYOLO after modifying some code?
- How to use multiple versions of MMYOLO to develop?
- How to save the best checkpoints during the training?
- How to train and test with non-square input sizes?
Advanced Tutorials
API Reference