open-mmlab / open-mmlab/mmengine
Classification target semantic instances need these trainings and configs
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Description
Describe the feature
Motivation
It integrates image classification, object detection, semantic segmentation and instance segmentation in the visual field
Classification target semantic instances
need these trainings and configs
I want to do all model training through mmengine
It is recommended to add the configs folder in mmengine
It contains the classification target semantic instances folder
Respective model scripts
Related resources
https://github.com/PaddlePaddle/PaddleX
https://github.com/PaddlePaddle/PaddleX/tree/develop/tutorials/train
Additional context
Add any other context or screenshots about the feature request here.
If you would like to implement the feature and create a PR, please leave a comment here and that would be much appreciated.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the proposed configs folder in mmengine and the related PaddleX tutorials/train resources. Identify the required training configurations and model scripts for classification, object detection, semantic segmentation, and instance segmentation. Done means these visual tasks can be trained through mmengine with the requested configs.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100