inference

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Author: Roboflow
Summary: With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.
Latest version: 0.47.0
Required dependencies: aiohttp | aiortc | anthropic | apscheduler | asyncua | backoff | boto3 | cachetools | cython | dataclasses-json | docker | fastapi | filelock | httpx | networkx | numpy | nvidia-ml-py | onnxruntime | openai | opencv-contrib-python | opencv-python | packaging | paho-mqtt | pandas | pillow | prometheus-fastapi-instrumentator | py-cpuinfo | pybase64 | pydantic | pydantic-settings | pydot | pylogix | pymodbus | pytest | python-dotenv | pyyaml | redis | requests | requests-toolbelt | rich | scikit-image | setuptools | shapely | slack-sdk | structlog | supervision | tldextract | tokenizers | tqdm | twilio | typer | typing_extensions | wheel | zxing-cpp
Optional dependencies: accelerate | asgi_correlation_id | bitsandbytes | dill | einops | elasticache_auto_discovery | fastapi-cprofile | mediapipe | metlo | num2words | orjson | peft | pymemcache | python-multipart | pyvips | rasterio | rf-clip | rf-segment-anything | rf_groundingdino | samv2 | timm | torch | torchvision | transformers | ultralytics | uvicorn

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