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Update LICENSE to AGPL-3.0 (#2031)

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This commit is contained in:
Glenn Jocher
2023-04-14 15:17:41 +02:00
committed by GitHub
parent 5065ca36a8
commit 2c6fc0a444
131 changed files with 200 additions and 213 deletions
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6
docker/Dockerfile
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@ -1,4 +1,4 @@
# Ultralytics YOLO 🚀, GPL-3.0 license
# Ultralytics YOLO 🚀, AGPL-3.0 license
# Builds ultralytics/ultralytics:latest image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
# Image is CUDA-optimized for YOLOv8 single/multi-GPU training and inference
@ -40,12 +40,12 @@ ENV DEBIAN_FRONTEND teletype
# Usage Examples -------------------------------------------------------------------------------------------------------
docker pull ultralytics/ultralytics:latest-hub-export-edgetpu-paddle
# Build and Push
# t=ultralytics/ultralytics:latest && sudo docker build -f docker/Dockerfile -t $t . && sudo docker push $t
# Pull and Run
# t=ultralytics/ultralytics:latest && sudo docker pull $t && sudo docker run -it --ipc=host --gpus all $t
# t=ultralytics/ultralytics/ultralytics:latest-hub-export-edgetpu-paddle && sudo docker pull $t && sudo docker run -it --ipc=host $t
# Pull and Run with local directory access
# t=ultralytics/ultralytics:latest && sudo docker pull $t && sudo docker run -it --ipc=host --gpus all -v "$(pwd)"/datasets:/usr/src/datasets $t

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docker/Dockerfile-arm64
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# Ultralytics YOLO 🚀, GPL-3.0 license
# Ultralytics YOLO 🚀, AGPL-3.0 license
# Builds ultralytics/ultralytics:latest-arm64 image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
# Image is aarch64-compatible for Apple M1 and other ARM architectures i.e. Jetson Nano and Raspberry Pi

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docker/Dockerfile-cpu
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# Ultralytics YOLO 🚀, GPL-3.0 license
# Ultralytics YOLO 🚀, AGPL-3.0 license
# Builds ultralytics/ultralytics:latest-cpu image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
# Image is CPU-optimized for ONNX, OpenVINO and PyTorch YOLOv8 deployments