feat: update model paths and dependencies

.env.example

@@ -1,6 +1,6 @@
-YOLO_CFG_PATH=darknet/cfg/yolov3-tiny-obj.cfg
-YOLO_WEIGHTS_PATH=darknet/backup/yolov3-tiny-obj_final.weights
-YOLO_NAMES_PATH=darknet/cfg/obj.names
+YOLO_CFG_PATH=models/yolov3-tiny.cfg
+YOLO_WEIGHTS_PATH=models/yolov3-tiny.weights
+YOLO_NAMES_PATH=models/coco.names
 YOLO_CONF_THRESHOLD=0.5
 YOLO_NMS_THRESHOLD=0.4
 YOLO_USE_GPU=false

.gitignore

@@ -0,0 +1,152 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.toml
+.cache
+.pytest_cache/
+.hypothesis/
+.noseids
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the Python version is individual.
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or even
+#   fail to install them.
+# Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+# poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+# pdm.lock
+
+# PEP 582; used by e.g. github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# OS
+.DS_Store
+Thumbs.db

README.md

@@ -12,9 +12,79 @@ short_description: Streamlit template space
 license: mit
 ---
 
-# Welcome to Streamlit!
+# YOLO Detection & Transfer Learning
 
-Edit `/src/streamlit_app.py` to customize this app to your heart's desire. :heart:
+Este projeto é uma aplicação Streamlit para detecção de objetos utilizando o modelo YOLOv3-Tiny com OpenCV DNN. O projeto está configurado para ser executado localmente ou no Hugging Face Spaces via Docker.
+
+## 🚀 Funcionalidades
+
+- Detecção de objetos em tempo real em imagens carregadas.
+- Suporte a 80 classes do dataset COCO.
+- Interface amigável com Streamlit.
+- Configuração via variáveis de ambiente.
+- Suporte a Git LFS para arquivos de pesos do modelo.
+
+## 🛠️ Instalação
+
+### Pré-requisitos
+
+- Python 3.9+
+- Git LFS
+
+### Passo a Passo
+
+1.  **Clone o repositório:**
+    ```bash
+    git clone https://huggingface.co/spaces/PedroM2626/YOLO-Detection-Transfer_Learning
+    cd YOLO-Detection-Transfer_Learning
+    ```
+
+2.  **Instale o Git LFS e puxe os arquivos grandes:**
+    ```bash
+    git lfs install
+    git lfs pull
+    ```
+
+3.  **Crie um ambiente virtual e instale as dependências:**
+    ```bash
+    python -m venv venv
+    source venv/bin/activate  # No Windows: venv\Scripts\activate
+    pip install -r requirements.txt
+    ```
+
+4.  **Configure as variáveis de ambiente:**
+    Copie o arquivo `.env.example` para `.env` e ajuste se necessário.
+    ```bash
+    cp .env.example .env
+    ```
+
+## 💻 Uso
+
+Para rodar a aplicação localmente:
+```bash
+streamlit run streamlit_app.py
+```
+
+## 🧪 Testes
+
+O projeto inclui testes unitários, de integração e de aceitação.
+
+Para executar os testes:
+```bash
+pytest
+```
+
+## 📁 Estrutura do Projeto
+
+- `models/`: Contém os arquivos de configuração, pesos e nomes das classes do YOLO.
+- `tests/`: Testes automatizados.
+- `streamlit_app.py`: Interface principal da aplicação.
+- `yolo_inference.py`: Lógica de inferência do modelo.
+- `Dockerfile`: Configuração para deploy no Hugging Face Spaces.
+- `.env.example`: Modelo de variáveis de ambiente.
+- `.gitattributes`: Configuração do Git LFS.
+
+## 📄 Licença
+
+Este projeto está sob a licença MIT. Veja o arquivo [LICENSE](LICENSE) para mais detalhes.
 
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).

requirements.txt

@@ -1,13 +1,13 @@
-opencv-python>=4.8.0
-numpy>=1.24.0
+opencv-python>=4.10.0
+numpy>=2.1.0
 python-dotenv>=1.0.0
 jupyter>=1.0.0
 ipywidgets>=8.0.0
 matplotlib>=3.7.0
 pytest>=7.0.0
-ultralytics>=8.0.0
-PyYAML>=6.0.0
-requests>=2.31.0
+ultralytics>=8.2.0
+PyYAML>=6.0.1
+requests>=2.32.0
 tqdm>=4.66.0
-streamlit>=1.25.0
-pillow>=10.0.0
+streamlit>=1.35.0
+pillow>=10.3.0