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[README]
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28 changes: 28 additions & 0 deletions README.md
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An open-source non-official community implementation of the model from the paper: Surgical Robot Transformer (SRT): Imitation Learning for Surgical Tasks: https://surgical-robot-transformer.github.io/


## Installation

```bash
pip3 install srt-torch
```


## Usage

```
```


## Citation


```bibtex
@misc{kim2024surgicalrobottransformersrt,
title={Surgical Robot Transformer (SRT): Imitation Learning for Surgical Tasks},
author={Ji Woong Kim and Tony Z. Zhao and Samuel Schmidgall and Anton Deguet and Marin Kobilarov and Chelsea Finn and Axel Krieger},
year={2024},
eprint={2407.12998},
archivePrefix={arXiv},
primaryClass={cs.RO},
url={https://arxiv.org/abs/2407.12998},
}
```
2 changes: 1 addition & 1 deletion example.py
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import torch
from loguru import logger
from srt.main import (
from srt_torch.main import (
SurgicalRobotTransformer,
ModelConfig,
RobotObservation,
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18 changes: 7 additions & 11 deletions pyproject.toml
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Expand Up @@ -3,15 +3,15 @@ requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"

[tool.poetry]
name = "paper"
name = "srt-torch"
version = "0.0.1"
description = "Paper - Pytorch"
description = "Surgical Robot Transformer (SRT): Imitation Learning for Surgical Tasks"
license = "MIT"
authors = ["Kye Gomez <[email protected]>"]
homepage = "https://github.com/kyegomez/paper"
documentation = "https://github.com/kyegomez/paper" # Add this if you have documentation.
homepage = "https://github.com/Agora-Lab-AI/SRT"
documentation = "https://github.com/Agora-Lab-AI/SRT" # Add this if you have documentation.
readme = "README.md" # Assuming you have a README.md
repository = "https://github.com/kyegomez/paper"
repository = "https://github.com/Agora-Lab-AI/SRT"
keywords = ["artificial intelligence", "deep learning", "optimizers", "Prompt Engineering"]
classifiers = [
"Development Status :: 4 - Beta",
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[tool.poetry.dependencies]
python = "^3.10"
swarms = "*"
zetascale = "*"

[tool.poetry.dev-dependencies]
# Add development dependencies here

loguru = "*"
torch = "*"

[tool.poetry.group.lint.dependencies]
ruff = "^0.1.6"
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21 changes: 21 additions & 0 deletions srt_torch/__init__.py
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from srt_torch.main import (
SurgicalRobotTransformer,
ModelConfig,
RobotObservation,
RobotAction,
ImageEncoder,
TransformerBlock,
ActionPredictor,
normalize_rotation_6d,
)

__all__ = [
"SurgicalRobotTransformer",
"ModelConfig",
"RobotObservation",
"RobotAction",
"ImageEncoder",
"TransformerBlock",
"ActionPredictor",
"normalize_rotation_6d",
]
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