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: 1.7.3
Required dependencies: aiohttp | aiortc | anthropic | apscheduler | av | backoff | boto3 | botocore | cachetools | click | cython | dataclasses-json | docker | fastapi | filelock | httpx | inference-models | inference-sdk | msgpack | networkx | numpy | nvidia-ml-py | onnxruntime | onvif-zeep-async | openai | opencv-contrib-python | opencv-python | packaging | pandas | pillow | prometheus-fastapi-instrumentator | psutil | py-cpuinfo | pybase64 | pydantic | pydantic-settings | pydot | pytest | python-dotenv | pyyaml | qrcode | redis | requests | requests-toolbelt | rich | roboflow-workflows | scikit-image | setuptools | shapely | simple-pid | slack-sdk | streamvision | structlog | supervision | tldextract | tokenizers | tqdm | trackers | twilio | typer | typing_extensions | tzdata | urllib3 | websocket-client | wheel | zxing-cpp
Optional dependencies: accelerate | asgi_correlation_id | bitsandbytes | diffusers | dill | easyocr | einops | elasticache_auto_discovery | fastapi-cprofile | num2words | opentelemetry-api | opentelemetry-exporter-otlp-proto-grpc | opentelemetry-exporter-otlp-proto-http | opentelemetry-instrumentation-fastapi | opentelemetry-instrumentation-requests | opentelemetry-sdk | orjson | peft | pycocotools | pymemcache | python-multipart | pyvips | rasterio | rf-clip | rf-sam-2 | rf-segment-anything | rf_groundingdino | timm | torch | torchvision | transformers | ultralytics | uvicorn

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