Spaces:
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Add FastAPI server
Browse files- .gitattributes +1 -0
- .gitignore +174 -0
- Dockerfile +15 -0
- app.py +53 -0
- models/best.pt +3 -0
- models/config.yaml +50 -0
- models/data.yaml +508 -0
- requirements.txt +4 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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models/best.pt filter=lfs diff=lfs merge=lfs -text
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.gitignore
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@@ -0,0 +1,174 @@
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# Byte-compiled / optimized / DLL files
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| 2 |
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# UV
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# Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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#uv.lock
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# poetry
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| 104 |
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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| 111 |
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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| 112 |
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#pdm.lock
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| 113 |
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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| 115 |
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# https://pdm.fming.dev/latest/usage/project/#working-with-version-control
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.pdm.toml
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.pdm-python
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.pdm-build/
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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| 128 |
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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| 140 |
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.spyderproject
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| 141 |
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.spyproject
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# Rope project settings
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| 144 |
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.ropeproject
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# mkdocs documentation
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| 147 |
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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| 164 |
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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| 166 |
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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# PyPI configuration file
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.pypirc
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output/
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uploads/
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Dockerfile
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FROM python:3.9
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RUN useradd -m -u 1000 user
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USER user
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ENV PATH="/home/user/.local/bin:$PATH"
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WORKDIR /app
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COPY --chown=user ./requirements.txt requirements.txt
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RUN pip install --no-cache-dir --upgrade -r requirements.txt
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RUN pip uninstall -y opencv-python && pip install --no-cache-dir opencv-python-headless
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COPY --chown=user . /app
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CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
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app.py
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import os
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import uuid
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import yaml
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from fastapi import FastAPI, File, UploadFile
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from fastapi.responses import JSONResponse
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from ultralytics import YOLO
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CONFIG_PATH = "./models/config.yaml"
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WEIGHT_PATH = "./models/best.pt"
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DATA_PATH = "./models/data.yaml"
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# Load class names from data.yaml
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with open(DATA_PATH, "r") as f:
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data_config = yaml.safe_load(f)
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CLASS_NAMES = data_config.get("names", [])
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# Load YOLO model
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model = YOLO(CONFIG_PATH, task="detect").load(WEIGHT_PATH)
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app = FastAPI()
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UPLOAD_FOLDER = "uploads"
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OUTPUT_FOLDER = "output"
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os.makedirs(UPLOAD_FOLDER, exist_ok=True)
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os.makedirs(OUTPUT_FOLDER, exist_ok=True)
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@app.post("/predict")
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async def predict(image: UploadFile = File(...)):
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filename = str(uuid.uuid4()) + "_" + image.filename
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img_path = os.path.join(UPLOAD_FOLDER, filename)
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with open(img_path, "wb") as buffer:
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buffer.write(await image.read())
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results = model(img_path, conf=0.2)
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detected_classes = set()
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for result in results:
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for box in result.boxes.data.tolist():
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_, _, _, _, _, class_id = box
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if 0 <= int(class_id) < len(CLASS_NAMES):
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detected_classes.add(CLASS_NAMES[int(class_id)])
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output_img_path = os.path.join(OUTPUT_FOLDER, filename)
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results[0].save(filename=output_img_path)
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os.remove(img_path)
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if not detected_classes:
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return JSONResponse(content={"error": "No objects detected"}, status_code=204)
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return JSONResponse(content={"items": list(detected_classes), "annotated_image": output_img_path})
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models/best.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:b74959c96b6bab6eacd675a9d7e1cd618cb51f727b44d8666d745292ae6b9a47
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size 5910035
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models/config.yaml
ADDED
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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| 2 |
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| 3 |
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# Ultralytics YOLO11 object detection model with P3/8 - P5/32 outputs
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| 4 |
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# Model docs: https://docs.ultralytics.com/models/yolo11
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| 5 |
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# Task docs: https://docs.ultralytics.com/tasks/detect
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| 6 |
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|
| 7 |
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# Parameters
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| 8 |
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nc: 503 # number of classes
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| 9 |
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scales: # model compound scaling constants, i.e. 'model=yolo11n.yaml' will call yolo11.yaml with scale 'n'
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| 10 |
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# [depth, width, max_channels]
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| 11 |
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n: [0.50, 0.25, 1024] # summary: 319 layers, 2624080 parameters, 2624064 gradients, 6.6 GFLOPs
|
| 12 |
+
s: [0.50, 0.50, 1024] # summary: 319 layers, 9458752 parameters, 9458736 gradients, 21.7 GFLOPs
|
| 13 |
+
m: [0.50, 1.00, 512] # summary: 409 layers, 20114688 parameters, 20114672 gradients, 68.5 GFLOPs
|
| 14 |
+
l: [1.00, 1.00, 512] # summary: 631 layers, 25372160 parameters, 25372144 gradients, 87.6 GFLOPs
|
| 15 |
+
x: [1.00, 1.50, 512] # summary: 631 layers, 56966176 parameters, 56966160 gradients, 196.0 GFLOPs
|
| 16 |
+
|
| 17 |
+
# YOLO11n backbone
|
| 18 |
+
backbone:
|
| 19 |
+
# [from, repeats, module, args]
|
| 20 |
+
- [-1, 1, Conv, [64, 3, 2]] # 0-P1/2
|
| 21 |
+
- [-1, 1, Conv, [128, 3, 2]] # 1-P2/4
|
| 22 |
+
- [-1, 2, C3k2, [256, False, 0.25]]
|
| 23 |
+
- [-1, 1, Conv, [256, 3, 2]] # 3-P3/8
|
| 24 |
+
- [-1, 2, C3k2, [512, False, 0.25]]
|
| 25 |
+
- [-1, 1, Conv, [512, 3, 2]] # 5-P4/16
|
| 26 |
+
- [-1, 2, C3k2, [512, True]]
|
| 27 |
+
- [-1, 1, Conv, [1024, 3, 2]] # 7-P5/32
|
| 28 |
+
- [-1, 2, C3k2, [1024, True]]
|
| 29 |
+
- [-1, 1, SPPF, [1024, 5]] # 9
|
| 30 |
+
- [-1, 2, C2PSA, [1024]] # 10
|
| 31 |
+
|
| 32 |
+
# YOLO11n head
|
| 33 |
+
head:
|
| 34 |
+
- [-1, 1, nn.Upsample, [None, 2, "nearest"]]
|
| 35 |
+
- [[-1, 6], 1, Concat, [1]] # cat backbone P4
|
| 36 |
+
- [-1, 2, C3k2, [512, False]] # 13
|
| 37 |
+
|
| 38 |
+
- [-1, 1, nn.Upsample, [None, 2, "nearest"]]
|
| 39 |
+
- [[-1, 4], 1, Concat, [1]] # cat backbone P3
|
| 40 |
+
- [-1, 2, C3k2, [256, False]] # 16 (P3/8-small)
|
| 41 |
+
|
| 42 |
+
- [-1, 1, Conv, [256, 3, 2]]
|
| 43 |
+
- [[-1, 13], 1, Concat, [1]] # cat head P4
|
| 44 |
+
- [-1, 2, C3k2, [512, False]] # 19 (P4/16-medium)
|
| 45 |
+
|
| 46 |
+
- [-1, 1, Conv, [512, 3, 2]]
|
| 47 |
+
- [[-1, 10], 1, Concat, [1]] # cat head P5
|
| 48 |
+
- [-1, 2, C3k2, [1024, True]] # 22 (P5/32-large)
|
| 49 |
+
|
| 50 |
+
- [[16, 19, 22], 1, Detect, [nc]] # Detect(P3, P4, P5)
|
models/data.yaml
ADDED
|
@@ -0,0 +1,508 @@
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|
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|
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|
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|
|
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|
|
|
|
|
|
|
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
| 1 |
+
names:
|
| 2 |
+
- '-'
|
| 3 |
+
- 555 sardines in tomato sauce
|
| 4 |
+
- 555 tuna afritada
|
| 5 |
+
- 555 tuna caldereta
|
| 6 |
+
- 7up
|
| 7 |
+
- absolute pure distilled drinking water
|
| 8 |
+
- agnesi polenta
|
| 9 |
+
- akabare khursani
|
| 10 |
+
- alaska classic sweetened condensed filled milk
|
| 11 |
+
- alaska condensada
|
| 12 |
+
- alaska evaporada
|
| 13 |
+
- all natural seasons tropical fruit
|
| 14 |
+
- almond
|
| 15 |
+
- almond milk
|
| 16 |
+
- angel all purpose creamer
|
| 17 |
+
- aook
|
| 18 |
+
- apple
|
| 19 |
+
- apples
|
| 20 |
+
- aqua life filtration systems
|
| 21 |
+
- argentina corned beef
|
| 22 |
+
- argentina giniling
|
| 23 |
+
- argentina meat loaf
|
| 24 |
+
- artichoke
|
| 25 |
+
- ash gourd
|
| 26 |
+
- asparagus
|
| 27 |
+
- avocado
|
| 28 |
+
- bacon
|
| 29 |
+
- bamboo shoots
|
| 30 |
+
- banana
|
| 31 |
+
- bananas
|
| 32 |
+
- basmati rice
|
| 33 |
+
- bazlama
|
| 34 |
+
- beans
|
| 35 |
+
- bear brand fortified powdered drink milk
|
| 36 |
+
- bear brand swak pack chocomilk
|
| 37 |
+
- beaten rice
|
| 38 |
+
- beef
|
| 39 |
+
- beetroot
|
| 40 |
+
- bell pepper
|
| 41 |
+
- bethu ko saag
|
| 42 |
+
- bingo double choco
|
| 43 |
+
- bingo orange cream
|
| 44 |
+
- bitter gourd
|
| 45 |
+
- black beans
|
| 46 |
+
- black lentils
|
| 47 |
+
- blackberry
|
| 48 |
+
- blue lychee
|
| 49 |
+
- blueberry
|
| 50 |
+
- bok choy
|
| 51 |
+
- book
|
| 52 |
+
- bottle gourd
|
| 53 |
+
- bread
|
| 54 |
+
- broad beans
|
| 55 |
+
- broccoli
|
| 56 |
+
- brussel sprouts
|
| 57 |
+
- buff meat
|
| 58 |
+
- butter
|
| 59 |
+
- c2 apple green tea
|
| 60 |
+
- c2 lemon green tea
|
| 61 |
+
- cabbage
|
| 62 |
+
- cadbury dairy milk
|
| 63 |
+
- cadbury dairy milk wholenut
|
| 64 |
+
- calamansi
|
| 65 |
+
- califlower
|
| 66 |
+
- calvin klein
|
| 67 |
+
- cantaloupe
|
| 68 |
+
- capsicum
|
| 69 |
+
- carrot
|
| 70 |
+
- carrots
|
| 71 |
+
- cassava
|
| 72 |
+
- cauliflower
|
| 73 |
+
- cdo funtastyk chicken tocino
|
| 74 |
+
- cdo karne norte classic
|
| 75 |
+
- cdo meat loaf
|
| 76 |
+
- century tuna flakes in oil
|
| 77 |
+
- cereal
|
| 78 |
+
- cerealbox
|
| 79 |
+
- chayote
|
| 80 |
+
- cheese
|
| 81 |
+
- cheez whiz original
|
| 82 |
+
- chicken
|
| 83 |
+
- chicken gizzards
|
| 84 |
+
- chickpeas
|
| 85 |
+
- chili pepper
|
| 86 |
+
- chili powder
|
| 87 |
+
- chilli
|
| 88 |
+
- chillies
|
| 89 |
+
- chips ahoy milka
|
| 90 |
+
- chockolate
|
| 91 |
+
- choco chum choco
|
| 92 |
+
- choco chum white choco
|
| 93 |
+
- choco mucho cookie sandwich white chocolate
|
| 94 |
+
- choco mucho dark chocolate
|
| 95 |
+
- choco mucho milk chocolate
|
| 96 |
+
- choco mucho white chocolate
|
| 97 |
+
- chocolate
|
| 98 |
+
- chowmein noodles
|
| 99 |
+
- cinnamon
|
| 100 |
+
- clementine
|
| 101 |
+
- cobra energy drink
|
| 102 |
+
- coca cola coke zero
|
| 103 |
+
- coca cola original
|
| 104 |
+
- coca cola original in can
|
| 105 |
+
- coca cola royal
|
| 106 |
+
- coca cola sprite
|
| 107 |
+
- coca cola sprite in can
|
| 108 |
+
- coca cola zero sugar
|
| 109 |
+
- coca cola zero sugar in can
|
| 110 |
+
- coffe
|
| 111 |
+
- coffee
|
| 112 |
+
- combi triple choco
|
| 113 |
+
- cookie
|
| 114 |
+
- coriander
|
| 115 |
+
- corn
|
| 116 |
+
- cornflakec
|
| 117 |
+
- courgates
|
| 118 |
+
- crab meat
|
| 119 |
+
- cream
|
| 120 |
+
- cucumber
|
| 121 |
+
- dabur honey
|
| 122 |
+
- daily quezo
|
| 123 |
+
- dates
|
| 124 |
+
- datu puti soy sauce
|
| 125 |
+
- datu puti vinegar
|
| 126 |
+
- del monte creamy and cheesy sphagetti sauce
|
| 127 |
+
- del monte fiesta fruit cocktail
|
| 128 |
+
- del monte fiilipino style spaghetti sauce
|
| 129 |
+
- del monte filipino style spaghetti sauce
|
| 130 |
+
- del monte four seasons
|
| 131 |
+
- del monte italian style spaghetti sauce
|
| 132 |
+
- del monte mango juice drink
|
| 133 |
+
- del monte original style tomato sauce
|
| 134 |
+
- del monte pineapple juice drink heart smart
|
| 135 |
+
- del monte pineapple juice with vitamins ace
|
| 136 |
+
- del monte pineapple tidbits
|
| 137 |
+
- del monte potato crisp biscuit original
|
| 138 |
+
- del monte sweet style sphagetti sauce
|
| 139 |
+
- del monte sweetened pineapple juice drink
|
| 140 |
+
- delfi knick knacks strawberry
|
| 141 |
+
- delight duo active probiotic fiber
|
| 142 |
+
- detergent
|
| 143 |
+
- don frank buko pandan gulaman powder
|
| 144 |
+
- doowee donut strawberry dipped donut with strawberry flavored
|
| 145 |
+
- doowee donut white choco frost with milky cream flavored
|
| 146 |
+
- doreen sweetened condensed creamer
|
| 147 |
+
- doritos nacho cheese
|
| 148 |
+
- dr pepper
|
| 149 |
+
- drinks
|
| 150 |
+
- ec crunchy choco flakes
|
| 151 |
+
- eden original
|
| 152 |
+
- egg
|
| 153 |
+
- eggplant
|
| 154 |
+
- eggs
|
| 155 |
+
- el rancho corned beef
|
| 156 |
+
- farsi ko munta
|
| 157 |
+
- ferrero rocher
|
| 158 |
+
- fibisco choco mallows
|
| 159 |
+
- fibisco hi ro chocolate flavored
|
| 160 |
+
- fibisco the ultimate chocolate chip cookies
|
| 161 |
+
- fiddlehead ferns
|
| 162 |
+
- fish
|
| 163 |
+
- flour
|
| 164 |
+
- fudgee barr chocolate
|
| 165 |
+
- fudgee barr macapuno
|
| 166 |
+
- fudgee barr milk custard
|
| 167 |
+
- fudgee barr vanilla
|
| 168 |
+
- galia
|
| 169 |
+
- galinco chips delight chocolate chip cookies
|
| 170 |
+
- galinco chips delight striped cappuccino cookies
|
| 171 |
+
- galinco chips delight striped chocolate cookies
|
| 172 |
+
- garden cress
|
| 173 |
+
- garden peas
|
| 174 |
+
- garlic
|
| 175 |
+
- gatorade blue bolt
|
| 176 |
+
- gatorade fierce grape
|
| 177 |
+
- gatorade fierce tropical fruit
|
| 178 |
+
- ginger
|
| 179 |
+
- glico pocky chocolate
|
| 180 |
+
- glico pocky strawberry
|
| 181 |
+
- goya almond in milk chocolate
|
| 182 |
+
- goya choco spread
|
| 183 |
+
- goya cream white chocolate
|
| 184 |
+
- goya dark chocolate
|
| 185 |
+
- goya milk chocolate
|
| 186 |
+
- goya take it 4 fingers
|
| 187 |
+
- goya take it dark chocolate
|
| 188 |
+
- goya very berries
|
| 189 |
+
- goya winter chill milk chocolate
|
| 190 |
+
- granny goose tortillos cheese
|
| 191 |
+
- granny goose tortillos chili
|
| 192 |
+
- grapes
|
| 193 |
+
- great buy mushrooms pieces and stems
|
| 194 |
+
- great taste supreme toffee hazelnut
|
| 195 |
+
- green bell pepper
|
| 196 |
+
- green brinjal
|
| 197 |
+
- green chili
|
| 198 |
+
- green lentils
|
| 199 |
+
- green mint
|
| 200 |
+
- green peas
|
| 201 |
+
- green soyabean
|
| 202 |
+
- groats
|
| 203 |
+
- ground meat
|
| 204 |
+
- gundruk
|
| 205 |
+
- ham
|
| 206 |
+
- hansel chocolate sandwich
|
| 207 |
+
- hansel mocha sandwich
|
| 208 |
+
- heavy cream
|
| 209 |
+
- hokkaido mackerel
|
| 210 |
+
- honey dew
|
| 211 |
+
- honeydew
|
| 212 |
+
- ice
|
| 213 |
+
- ion supply drink pocari sweat
|
| 214 |
+
- jack daniels
|
| 215 |
+
- jack fruit
|
| 216 |
+
- jack n jill cheesy knots milky cheese flavored
|
| 217 |
+
- jack n jill chicharon ni mang juan
|
| 218 |
+
- jack n jill chippy barbecue
|
| 219 |
+
- jack n jill chippy chili and cheese
|
| 220 |
+
- jack n jill cloud 9 choco fudge
|
| 221 |
+
- jack n jill cloud 9 classic
|
| 222 |
+
- jack n jill cream o vanilla
|
| 223 |
+
- jack n jill dewberry blueberries n cream
|
| 224 |
+
- jack n jill dewberry blueberry cheesecake
|
| 225 |
+
- jack n jill hello chocolate
|
| 226 |
+
- jack n jill mr chips nacho cheese flavored
|
| 227 |
+
- jack n jill nips creamy tiramisu
|
| 228 |
+
- jack n jill nips dark chocolate
|
| 229 |
+
- jack n jill nips milk chocolate
|
| 230 |
+
- jack n jill nips peanut
|
| 231 |
+
- jack n jill nips white chocolate
|
| 232 |
+
- jack n jill nova cheddar flavor
|
| 233 |
+
- jack n jill piattos cheese
|
| 234 |
+
- jack n jill piattos cheese supersized
|
| 235 |
+
- jack n jill piattos roadhouse barbecue
|
| 236 |
+
- jack n jill piattos roast beef
|
| 237 |
+
- jack n jill piattos sour cream and onion
|
| 238 |
+
- jack n jill piattos sour cream and onion supersized
|
| 239 |
+
- jack n jill pic a ultimate cheddar
|
| 240 |
+
- jack n jill presto choco vanilla
|
| 241 |
+
- jack n jill presto chocolate
|
| 242 |
+
- jack n jill presto peanut
|
| 243 |
+
- jack n jill quake overload mocha butter
|
| 244 |
+
- jack n jill quake overload white choco
|
| 245 |
+
- jack n jill roller coaster cheddar cheese flavored
|
| 246 |
+
- jack n jill vcut spicy barbeque
|
| 247 |
+
- jalees bbq mushroom chicharon
|
| 248 |
+
- jalees garlic mushroom chicharon
|
| 249 |
+
- jersey chocolate condensed creamer
|
| 250 |
+
- jersey sweetened condensed creamer
|
| 251 |
+
- jinro chamisul original soju
|
| 252 |
+
- jinro grapefruit soju
|
| 253 |
+
- jinro green grape soju
|
| 254 |
+
- jinro peach soju
|
| 255 |
+
- jinro strawberry soju
|
| 256 |
+
- jolly mushrooms
|
| 257 |
+
- juan tasty
|
| 258 |
+
- juice
|
| 259 |
+
- jumpee chocolate
|
| 260 |
+
- ketchup
|
| 261 |
+
- kimchi
|
| 262 |
+
- king sue chicken tocino
|
| 263 |
+
- king sue pork tocino
|
| 264 |
+
- knorr liquid seasoning original
|
| 265 |
+
- kopiko brown coffee
|
| 266 |
+
- ladys choice real mayonnaise
|
| 267 |
+
- lapsi
|
| 268 |
+
- lays classic
|
| 269 |
+
- lays stax extra cheese flavour
|
| 270 |
+
- lays stax original
|
| 271 |
+
- lays stax sour cream and onion
|
| 272 |
+
- le mineral
|
| 273 |
+
- lemon
|
| 274 |
+
- lemon square lava cake chocolate
|
| 275 |
+
- lemon square lava cake cream bavarian
|
| 276 |
+
- lemons
|
| 277 |
+
- leslies clover chips cheesier
|
| 278 |
+
- leslies clover chips chili and cheese
|
| 279 |
+
- lettuce
|
| 280 |
+
- lime
|
| 281 |
+
- long beans
|
| 282 |
+
- lotte pepero almond
|
| 283 |
+
- lotte pepero original
|
| 284 |
+
- lucky me beef na beef noodles
|
| 285 |
+
- lucky me chicken na chicken noodles
|
| 286 |
+
- lucky me go cup batchoy
|
| 287 |
+
- lucky me go cup bulalo
|
| 288 |
+
- lucky me pancit canton chilimansi
|
| 289 |
+
- lucky me pancit canton extra hot chili
|
| 290 |
+
- lucky me pancit canton kalamansi
|
| 291 |
+
- m y san grahams
|
| 292 |
+
- m-ms chocolate
|
| 293 |
+
- magic chips barbeque flavored
|
| 294 |
+
- magic chips cheese flavored
|
| 295 |
+
- mango
|
| 296 |
+
- mars caramel chocolate bar
|
| 297 |
+
- masyaura
|
| 298 |
+
- mayonnaise
|
| 299 |
+
- mayora beng beng chocolate
|
| 300 |
+
- mayora cal cheese cheese wafer
|
| 301 |
+
- meat
|
| 302 |
+
- milk
|
| 303 |
+
- minced meat
|
| 304 |
+
- mini oreo original
|
| 305 |
+
- mirinda orange flavor
|
| 306 |
+
- moringa leaves
|
| 307 |
+
- mountain dew
|
| 308 |
+
- mozarella cheese
|
| 309 |
+
- mug root beer
|
| 310 |
+
- mushroom
|
| 311 |
+
- mussel
|
| 312 |
+
- mutton
|
| 313 |
+
- nagaraya garlic cracker nuts
|
| 314 |
+
- nectarine
|
| 315 |
+
- nescafe creamy latte twin pack
|
| 316 |
+
- nescafe creamy white twin pack
|
| 317 |
+
- nescafe original
|
| 318 |
+
- nespresso
|
| 319 |
+
- nestea lemon tea drink
|
| 320 |
+
- nestle all purpose cream
|
| 321 |
+
- nestle bear brand sterilized milk
|
| 322 |
+
- nestle gold corn flakes
|
| 323 |
+
- nestle koko krunch all in one
|
| 324 |
+
- nestle koko krunch chocolate
|
| 325 |
+
- nestle milo
|
| 326 |
+
- nissin bread stix
|
| 327 |
+
- nissin butter coconut
|
| 328 |
+
- nissin cup noodles beef
|
| 329 |
+
- nissin cup noodles seafood
|
| 330 |
+
- nissin cup noodles spicy hot beef
|
| 331 |
+
- nissin eggnog cookies
|
| 332 |
+
- noodle
|
| 333 |
+
- nutrela
|
| 334 |
+
- nutri snack cheez it cheese
|
| 335 |
+
- nutri snack moby caramel puffs
|
| 336 |
+
- nutri snack moby crunchy chocolate
|
| 337 |
+
- nutri snack peewee sizzling bbq
|
| 338 |
+
- o puff mango cream filled marshmallows
|
| 339 |
+
- oil
|
| 340 |
+
- oishi bread pan buttered toast
|
| 341 |
+
- oishi bread pan cheese and onion
|
| 342 |
+
- oishi bread pan toasted garlic
|
| 343 |
+
- oishi bread pan white cheddar cheese
|
| 344 |
+
- oishi cracklings salt and vinegar
|
| 345 |
+
- oishi crispy patata
|
| 346 |
+
- oishi fishda fish kropeck
|
| 347 |
+
- oishi kirei shrimp flavor
|
| 348 |
+
- oishi pillows choco filled crackers
|
| 349 |
+
- oishi pillows ube filled crackers
|
| 350 |
+
- oishi potato chips plain salted flavor
|
| 351 |
+
- oishi potato fries cheese
|
| 352 |
+
- oishi prawn crackers spicy flavor
|
| 353 |
+
- oishi rinbee cheese
|
| 354 |
+
- oishi sponge chocolate crunch
|
| 355 |
+
- ok cheese
|
| 356 |
+
- okra
|
| 357 |
+
- olive
|
| 358 |
+
- olive oil
|
| 359 |
+
- olives
|
| 360 |
+
- onion
|
| 361 |
+
- onion leaves
|
| 362 |
+
- orange
|
| 363 |
+
- oranges
|
| 364 |
+
- oreo chocolate cream
|
| 365 |
+
- oreo chocolate creme
|
| 366 |
+
- oreo double stuff
|
| 367 |
+
- oyster
|
| 368 |
+
- paco rabanne
|
| 369 |
+
- palak
|
| 370 |
+
- palungo
|
| 371 |
+
- pampangas best chicken longaniza
|
| 372 |
+
- pampangas best native longaniza
|
| 373 |
+
- pampangas best pampanga longaniza
|
| 374 |
+
- pampangas best smoked longaniza
|
| 375 |
+
- pampangas best tocino original
|
| 376 |
+
- paneer
|
| 377 |
+
- papaya
|
| 378 |
+
- parmesan cheese
|
| 379 |
+
- parsley
|
| 380 |
+
- pasta
|
| 381 |
+
- patanjali honey
|
| 382 |
+
- pea
|
| 383 |
+
- peach
|
| 384 |
+
- pear
|
| 385 |
+
- peas
|
| 386 |
+
- pedro domecq fundador solera
|
| 387 |
+
- pepsi
|
| 388 |
+
- pik nik
|
| 389 |
+
- pineapple
|
| 390 |
+
- pixel 4
|
| 391 |
+
- planet oat original
|
| 392 |
+
- plum
|
| 393 |
+
- pointed gourd
|
| 394 |
+
- pork
|
| 395 |
+
- pork rib
|
| 396 |
+
- potato
|
| 397 |
+
- pringles cheesy cheese
|
| 398 |
+
- pringles pizza
|
| 399 |
+
- pringles saucy bbq
|
| 400 |
+
- pringles sour cream and onion
|
| 401 |
+
- pumpkin
|
| 402 |
+
- pure foods chinese style luncheon meat
|
| 403 |
+
- queso cheese
|
| 404 |
+
- radish
|
| 405 |
+
- rahar ko daal
|
| 406 |
+
- rasp berries
|
| 407 |
+
- raspberries
|
| 408 |
+
- rayo ko saag
|
| 409 |
+
- rebisco choco crackers
|
| 410 |
+
- rebisco hansel crackers
|
| 411 |
+
- rebisco strawberry crackers
|
| 412 |
+
- red beans
|
| 413 |
+
- red bel pepper
|
| 414 |
+
- red bell pepper
|
| 415 |
+
- red lentils
|
| 416 |
+
- red onion
|
| 417 |
+
- refresh mineral water
|
| 418 |
+
- reno liver spread
|
| 419 |
+
- rice
|
| 420 |
+
- ritter sport nocciole intere
|
| 421 |
+
- royal elbow macaroni
|
| 422 |
+
- sajjyun
|
| 423 |
+
- salad
|
| 424 |
+
- salmon
|
| 425 |
+
- salt
|
| 426 |
+
- samsung s20
|
| 427 |
+
- san marino chili corned tuna
|
| 428 |
+
- san marino corned tuna
|
| 429 |
+
- sauce
|
| 430 |
+
- sausage
|
| 431 |
+
- sausages
|
| 432 |
+
- scallop
|
| 433 |
+
- seaweed
|
| 434 |
+
- selecta choco almond fudge
|
| 435 |
+
- selecta moo fortified chocolate
|
| 436 |
+
- selecta quezo real
|
| 437 |
+
- selecta strawberry solo pack
|
| 438 |
+
- shrimp
|
| 439 |
+
- sliced garlic
|
| 440 |
+
- snack pack choco crunchies chocolate
|
| 441 |
+
- snake gourd
|
| 442 |
+
- snickers
|
| 443 |
+
- soy sauce
|
| 444 |
+
- soyabean
|
| 445 |
+
- spinace
|
| 446 |
+
- spinach
|
| 447 |
+
- sponge gourd
|
| 448 |
+
- spring onion
|
| 449 |
+
- squash
|
| 450 |
+
- stateline loaded chocolate filled
|
| 451 |
+
- sticko chocolate
|
| 452 |
+
- stinging nettle
|
| 453 |
+
- straw berry
|
| 454 |
+
- strawberry
|
| 455 |
+
- sugar
|
| 456 |
+
- summit drinking water
|
| 457 |
+
- super delights brownie bites chocolate
|
| 458 |
+
- super golden bihon
|
| 459 |
+
- sweet potato
|
| 460 |
+
- sweetcorn
|
| 461 |
+
- swiss miss chocolate milk blend
|
| 462 |
+
- tang pineapple
|
| 463 |
+
- taro leaves
|
| 464 |
+
- taro root
|
| 465 |
+
- thukpa noodles
|
| 466 |
+
- tida
|
| 467 |
+
- toast bread
|
| 468 |
+
- toblerone white chocolate
|
| 469 |
+
- todays mixed fruit
|
| 470 |
+
- tofu
|
| 471 |
+
- tomato
|
| 472 |
+
- tomato paste
|
| 473 |
+
- topss choco
|
| 474 |
+
- tori ko saag
|
| 475 |
+
- tree tomato
|
| 476 |
+
- tropicana
|
| 477 |
+
- tuna
|
| 478 |
+
- turnip
|
| 479 |
+
- uni pak premium sardines
|
| 480 |
+
- vicente vidal queso y cebolla
|
| 481 |
+
- vitamilk choco shake
|
| 482 |
+
- vitamilk double choco shake
|
| 483 |
+
- vitasoy original
|
| 484 |
+
- vitasoy plus original
|
| 485 |
+
- wallnut
|
| 486 |
+
- water
|
| 487 |
+
- water melon
|
| 488 |
+
- watermelon
|
| 489 |
+
- wattermelon
|
| 490 |
+
- wheat
|
| 491 |
+
- wilkins sparkling water
|
| 492 |
+
- yakult probiotics
|
| 493 |
+
- yellow bell pepper
|
| 494 |
+
- yellow lentils
|
| 495 |
+
- yoghurt
|
| 496 |
+
- yogurt
|
| 497 |
+
- ys quality nata de coco green
|
| 498 |
+
- yum yum strawberry snack
|
| 499 |
+
- zesto big apple
|
| 500 |
+
- zesto big grapes
|
| 501 |
+
- zesto big mango
|
| 502 |
+
- zesto big orange
|
| 503 |
+
- zesto big pineapple
|
| 504 |
+
- zucchini
|
| 505 |
+
nc: 503
|
| 506 |
+
test: ../test/images
|
| 507 |
+
train: ../train/images
|
| 508 |
+
val: ../valid/images
|
requirements.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fastapi
|
| 2 |
+
uvicorn[standard]
|
| 3 |
+
ultralytics
|
| 4 |
+
python-multipart
|