Update Dockerfile headers (#13546)
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Builds ultralytics/yolov5:latest image on DockerHub https://hub.docker.com/r/ultralytics/yolov5
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# Builds ultralytics/yolov5:latest image on DockerHub https://hub.docker.com/r/ultralytics/yolov5
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# Image is CUDA-optimized for YOLOv5 single/multi-GPU training and inference
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# Image is CUDA-optimized for YOLOv5 single/multi-GPU training and inference
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Builds ultralytics/yolov5:latest-arm64 image on DockerHub https://hub.docker.com/r/ultralytics/yolov5
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# Builds ultralytics/yolov5:latest-arm64 image on DockerHub https://hub.docker.com/r/ultralytics/yolov5
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# Image is aarch64-compatible for Apple M1 and other ARM architectures i.e. Jetson Nano and Raspberry Pi
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# Image is aarch64-compatible for Apple M1 and other ARM architectures i.e. Jetson Nano and Raspberry Pi
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@@ -1,4 +1,5 @@
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Builds ultralytics/yolov5:latest-cpu image on DockerHub https://hub.docker.com/r/ultralytics/yolov5
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# Builds ultralytics/yolov5:latest-cpu image on DockerHub https://hub.docker.com/r/ultralytics/yolov5
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# Image is CPU-optimized for ONNX, OpenVINO and PyTorch YOLOv5 deployments
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# Image is CPU-optimized for ONNX, OpenVINO and PyTorch YOLOv5 deployments
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