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# YOLOv5 🚀 by Ultralytics, GPL-3.0 license | |||
# Builds ultralytics/yolov5:latest image on DockerHub https://hub.docker.com/r/ultralytics/yolov5 | |||
# Image is CUDA-optimized for YOLOv5 single/multi-GPU training and inference | |||
# Start FROM NVIDIA PyTorch image https://ngc.nvidia.com/catalog/containers/nvidia:pytorch | |||
FROM nvcr.io/nvidia/pytorch:22.04-py3 |
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# YOLOv5 🚀 by Ultralytics, GPL-3.0 license | |||
# aarch64-compatible YOLOv5 Docker image for use with Apple M1 and other ARM architectures like Jetson Nano and Raspberry Pi | |||
# Builds ultralytics/yolov5:latest-arm64 image on DockerHub https://hub.docker.com/r/ultralytics/yolov5 | |||
# Image is aarch64-compatible for Apple M1 and other ARM architectures i.e. Jetson Nano and Raspberry Pi | |||
# Start FROM Ubuntu image https://hub.docker.com/_/ubuntu | |||
FROM arm64v8/ubuntu:20.04 |
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# YOLOv5 🚀 by Ultralytics, GPL-3.0 license | |||
# Builds ultralytics/yolov5:latest-cpu image on DockerHub https://hub.docker.com/r/ultralytics/yolov5 | |||
# Image is CPU-optimized for ONNX, OpenVINO and PyTorch YOLOv5 deployments | |||
# Start FROM Ubuntu image https://hub.docker.com/_/ubuntu | |||
FROM ubuntu:20.04 |