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https://github.com/ssbuild/semantic_segmentation
https://github.com/ssbuild/semantic_segmentation
Last synced: 4 days ago
JSON representation
- Host: GitHub
- URL: https://github.com/ssbuild/semantic_segmentation
- Owner: ssbuild
- License: apache-2.0
- Created: 2023-10-22T04:07:47.000Z (about 1 year ago)
- Default Branch: dev
- Last Pushed: 2024-04-23T16:51:14.000Z (7 months ago)
- Last Synced: 2024-04-28T04:59:07.764Z (7 months ago)
- Language: Python
- Size: 366 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.MD
- License: LICENSE
Awesome Lists containing this project
README
```text
2024-04-22 简化
2023-10-24 initial semantic segmentation
```
## update information
- [deep_training](https://github.com/ssbuild/deep_training)
## install
- pip install -U -r requirements.txt
- 如果无法安装， 可以切换官方源 pip install -i https://pypi.org/simple -U -r requirements.txt
## weigtht select one is suitable for you
支持且不限于以下权重 , See all SegFormer models at https://huggingface.co/models?filter=segformer
- [mit-b0](https://huggingface.co/nvidia/mit-b0)
- [segformer-b3-finetuned-ade-512-512](https://huggingface.co/nvidia/segformer-b3-finetuned-ade-512-512)
- [segformer-b5-finetuned-cityscapes-1024-1024](https://huggingface.co/nvidia/segformer-b5-finetuned-cityscapes-1024-1024)
## data sample
- open_data https://github.com/ssbuild/open_data
- sidewalk-semantic https://huggingface.co/datasets/segments/sidewalk-semantic
## infer
# infer_finetuning.py 推理微调模型
# infer_lora_finetuning.py 推理微调模型
python infer_finetuning.py
## training
```text
# 制作数据
cd scripts
bash train_full.sh -m dataset
注: num_process_worker 为多进程制作数据 ， 如果数据量较大 ， 适当调大至cpu数量
dataHelper.make_dataset_with_args(data_args.train_file,mixed_data=False, shuffle=True,mode='train',num_process_worker=0)
# 全参数训练
bash train_full.sh -m train
```
## 训练参数
[训练参数](args.MD)
## 友情链接
- [pytorch-task-example](https://github.com/ssbuild/pytorch-task-example)
- [tf-task-example](https://github.com/ssbuild/tf-task-example)
- [chatmoss_finetuning](https://github.com/ssbuild/chatmoss_finetuning)
- [chatglm_finetuning](https://github.com/ssbuild/chatglm_finetuning)
- [chatglm2_finetuning](https://github.com/ssbuild/chatglm2_finetuning)
- [chatglm3_finetuning](https://github.com/ssbuild/chatglm3_finetuning)
- [t5_finetuning](https://github.com/ssbuild/t5_finetuning)
- [llm_finetuning](https://github.com/ssbuild/llm_finetuning)
- [llm_rlhf](https://github.com/ssbuild/llm_rlhf)
- [chatglm_rlhf](https://github.com/ssbuild/chatglm_rlhf)
- [t5_rlhf](https://github.com/ssbuild/t5_rlhf)
- [rwkv_finetuning](https://github.com/ssbuild/rwkv_finetuning)
- [baichuan_finetuning](https://github.com/ssbuild/baichuan_finetuning)
##
纯粹而干净的代码
## 参考
## Star History
[](https://star-history.com/#ssbuild/semantic_segmentation&Date)