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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:
0.9.23
Required dependencies:
aiohttp
|
aioresponses
|
apscheduler
|
backoff
|
boto3
|
cython
|
dataclasses-json
|
docker
|
fastapi
|
gputil
|
networkx
|
numpy
|
onnxruntime
|
openai
|
opencv-python
|
piexif
|
pillow
|
prometheus-fastapi-instrumentator
|
py-cpuinfo
|
pybase64
|
pydantic
|
pytest-asyncio
|
python-dotenv
|
pyyaml
|
redis
|
requests
|
requests-toolbelt
|
rich
|
scikit-image
|
setuptools
|
shapely
|
skypilot
|
structlog
|
supervision
|
tqdm
|
typer
|
typing-extensions
|
wheel
|
zxing-cpp
Optional dependencies:
asgi-correlation-id
|
dill
|
elasticache-auto-discovery
|
fastapi-cprofile
|
mediapipe
|
metlo
|
orjson
|
prometheus-fastapi-instrumentator
|
pymemcache
|
python-multipart
|
rasterio
|
rf-clip
|
rf-groundingdino
|
rf-segment-anything
|
torch
|
torchvision
|
transformers
|
ultralytics
|
uvicorn
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