基于 ViT 视觉变换器实现香蕉叶片病害分类应用,支持 7 类病害识别。 - app.py: Streamlit 前端应用,包含图片上传、病害识别、置信度图表展示及防治建议 - pyproject.toml: 项目配置,声明 Python 3.14 及依赖(streamlit、transformers、torch、plotly 等) - uv.lock: 依赖版本锁定文件 - Dockerfile: 基于 uv 镜像的容器化部署配置,含健康检查 - justfile: 常用开发任务脚本(run、install、format、check 等) - main.py: 命令行入口 - .doc/: 模型使用说明文档 模型来源: Dmitry43243242/banana-disease-leaf-model (HuggingFace)
20 lines
473 B
TOML
20 lines
473 B
TOML
[project]
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name = "banana-disease-leaf"
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version = "0.1.0"
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description = "香蕉叶病害智能识别系统 - 基于 ViT 视觉变换器的香蕉叶片病害分类应用"
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readme = "README.md"
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requires-python = ">=3.14"
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dependencies = [
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"numpy>=2.3.5",
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"plotly>=6.5.0",
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"ruff>=0.14.8",
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"streamlit==1.52.1",
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"torch>=2.7.0",
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"transformers>=4.52.0",
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"pillow>=11.2.0",
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]
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[[tool.uv.index]]
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url = "https://mirrors.aliyun.com/pypi/simple"
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default = true
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