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Author:
Glenn Jocher
License:
AGPL-3.0
Summary:
Ultralytics YOLO 🚀 for SOTA object detection, instance segmentation, semantic segmentation, depth estimation, classification, pose estimation, oriented object detection, and multi-object tracking.
Latest version:
8.4.178
Required dependencies:
matplotlib
|
numpy
|
nvidia-ml-py
|
opencv-python
|
pillow
|
polars
|
psutil
|
pyyaml
|
requests
|
torch
|
torchvision
|
ultralytics-platform
|
ultralytics-thop
Optional dependencies:
ai-edge-litert
|
ai-edge-quantizer
|
albumentations
|
amd-quark
|
coreai-torch
|
coremltools
|
coverage
|
dx-com
|
executorch
|
faster-coco-eval
|
flask
|
googleapis-common-protos
|
h5py
|
ipython
|
lap
|
litert-torch
|
minijinja
|
mlflow
|
nncf
|
numpy
|
onnx
|
onnxruntime
|
onnxslim
|
openai
|
openvino
|
packaging
|
pytest
|
pytest-cov
|
pytest-xdist
|
scikit-learn
|
setuptools
|
shapely
|
streamlit
|
tensorboard
|
tensorflow
|
tensorstore
|
torch
|
types-pillow
|
types-psutil
|
types-pyyaml
|
types-requests
|
types-shapely
|
ultralytics
|
wandb
|
ydf
|
zensical
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