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Upload 3 files
Browse files- app.py +59 -0
- best.pt +3 -0
- requirements.txt +151 -0
app.py
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import gradio as gr
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from huggingface_hub import hf_hub_download
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from ultralytics import YOLO
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from PIL import Image
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# Скачиваем веса из вашего репо на Hugging Face
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REPO_ID = "shaquilledanil/yolo11-skinai"
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FILENAME = "best.pt"
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WEIGHT_PATH = hf_hub_download(repo_id=REPO_ID, filename=FILENAME)
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# Загружаем YOLO-модель
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model = YOLO(WEIGHT_PATH)
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def yolo_inference(image: Image.Image):
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"""
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Принимает PIL.Image, прогоняет через YOLO-модель,
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возвращает кортеж (annotated_image, detections_info).
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"""
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results = model.predict(source=image)
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# Подготовим изображение с нарисованными bboxes
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# Ultralytics в results[0].plot() вернёт PIL.Image с рамками
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annotated_image = results[0].plot() if len(results) else image
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# Соберём текстовую информацию о детекциях
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detections = []
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if len(results):
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boxes = results[0].boxes
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for box in boxes:
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cls_id = int(box.cls[0].item())
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conf = float(box.conf[0].item())
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xyxy = box.xyxy[0].tolist()
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class_name = results[0].names[cls_id]
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detections.append({
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"class_id": cls_id,
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"class_name": class_name,
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"confidence": round(conf, 3),
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"bbox": [round(x, 1) for x in xyxy]
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})
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return annotated_image, detections
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# Создаём Gradio-интерфейс:
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# - inputs: одна картинка
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# - outputs: (1) картинка с боксами, (2) JSON (список детекций)
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demo = gr.Interface(
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fn=yolo_inference,
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inputs=gr.Image(type="pil"),
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outputs=[
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gr.Image(type="pil", label="Detected Objects"),
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"json"
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],
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title="YOLO SkinAI Demo",
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description="Загрузите изображение, чтобы увидеть результат детекции"
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)
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# Запуск (при локальном тесте):
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if __name__ == "__main__":
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demo.launch()
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best.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:9fe1180af4d10f963eb6f41fa1f5df8eff4e2a5c9be1d03277fdc968b8716aec
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size 3212411
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requirements.txt
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aiofiles==23.2.1
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aiohttp==3.9.5
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aiohttp-socks==0.8.4
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aiosignal==1.3.1
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annotated-types==0.7.0
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anyio==4.8.0
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asttokens==3.0.0
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async-timeout==4.0.3
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attrs==24.2.0
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blinker==1.8.2
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build==1.2.2.post1
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CacheControl==0.14.0
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certifi==2024.8.30
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charset-normalizer==3.4.0
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cleo==2.1.0
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click==8.1.7
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colorama==0.4.6
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comm==0.2.2
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contourpy==1.3.1
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crashtest==0.4.1
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cycler==0.12.1
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Cython==3.0.11
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debugpy==1.8.11
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decorator==5.1.1
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distlib==0.3.9
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dtw-python==1.5.3
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dulwich==0.21.7
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executing==2.1.0
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fake-useragent==1.5.1
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Faker==27.0.0
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fastapi==0.115.6
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fastjsonschema==2.20.0
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ffmpy==0.5.0
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filelock==3.16.1
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Flask==3.0.3
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fonttools==4.55.3
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frozenlist==1.4.1
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fsspec==2024.10.0
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gradio==5.10.0
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gradio_client==1.5.3
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h11==0.14.0
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httpcore==1.0.7
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httpx==0.28.1
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huggingface-hub==0.27.1
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idna==3.8
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installer==0.7.0
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ipykernel==6.29.5
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ipython==8.30.0
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itsdangerous==2.2.0
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jaraco.classes==3.4.0
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jedi==0.19.2
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Jinja2==3.1.4
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jupyter_client==8.6.3
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jupyter_core==5.7.2
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keyring==24.3.1
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kiwisolver==1.4.7
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llvmlite==0.43.0
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loguru==0.7.2
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markdown-it-py==3.0.0
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MarkupSafe==2.1.5
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matplotlib==3.10.0
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matplotlib-inline==0.1.7
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mdurl==0.1.2
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more-itertools==10.5.0
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mpmath==1.3.0
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msgpack==1.1.0
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multidict==6.0.5
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nest-asyncio==1.6.0
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networkx==3.4.2
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numba==0.60.0
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numpy==2.0.2
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openai-whisper==20240930
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opencv-python==4.10.0.84
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orjson==3.10.13
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packaging==24.1
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pandas==2.2.2
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parso==0.8.4
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pexpect==4.9.0
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Pillow==9.5.0
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pkginfo==1.11.2
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platformdirs==4.3.6
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poetry==1.8.4
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poetry-core==1.9.1
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poetry-plugin-export==1.8.0
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prompt_toolkit==3.0.48
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psutil==6.1.0
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ptyprocess==0.7.0
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pure_eval==0.2.3
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py-cpuinfo==9.0.0
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pyaes==1.6.1
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pydantic==2.10.4
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pydantic_core==2.27.2
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pydub==0.25.1
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Pygments==2.18.0
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pyparsing==3.2.0
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pyproject_hooks==1.2.0
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Pyrogram==2.0.106
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PySocks==1.7.1
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python-dateutil==2.9.0.post0
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python-multipart==0.0.20
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python-socks==2.5.1
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pytz==2024.1
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pywin32==308
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pywin32-ctypes==0.2.3
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PyYAML==6.0.2
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pyzmq==26.2.0
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RapidFuzz==3.10.0
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regex==2024.9.11
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requests==2.32.3
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requests-toolbelt==1.0.0
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rich==13.9.4
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ruff==0.8.6
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safehttpx==0.1.6
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safetensors==0.4.5
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scipy==1.14.1
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seaborn==0.13.2
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semantic-version==2.10.0
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sentry-sdk==2.19.2
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setuptools==75.3.0
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shellingham==1.5.4
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six==1.16.0
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sniffio==1.3.1
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stack-data==0.6.3
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starlette==0.41.3
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sympy==1.13.1
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telegram==0.0.1
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TgCrypto==1.2.5
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thop==0.1.1.post2209072238
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tiktoken==0.8.0
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tokenizers==0.20.3
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tomlkit==0.13.2
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torch==2.5.1
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torchvision==0.20.1
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tornado==6.4.2
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tqdm==4.66.6
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traitlets==5.14.3
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transformers==4.46.2
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trove-classifiers==2024.10.16
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typer==0.15.1
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typing_extensions==4.12.2
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tzdata==2024.1
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ultralytics==8.3.57
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ultralytics-thop==2.0.13
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urllib3==2.2.3
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uvicorn==0.22.0
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virtualenv==20.27.0
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wcwidth==0.2.13
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websockets==14.1
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Werkzeug==3.1.1
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win32-setctime==1.1.0
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yarl==1.10.0
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