ultralytics 8.3.0 YOLO11 Models Release (#16539)
Signed-off-by: UltralyticsAssistant <web@ultralytics.com> Co-authored-by: Laughing-q <1185102784@qq.com> Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
This commit is contained in:
Glenn Jocher
GitHub
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50 changed files with 1154 additions and 407 deletions
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# Ultralytics YOLO 🚀, AGPL-3.0 license
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# Builds ultralytics/ultralytics:latest image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
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# Image is CUDA-optimized for YOLOv8 single/multi-GPU training and inference
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# Image is CUDA-optimized for YOLO11 single/multi-GPU training and inference
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# Start FROM PyTorch image https://hub.docker.com/r/pytorch/pytorch or nvcr.io/nvidia/pytorch:23.03-py3
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FROM pytorch/pytorch:2.3.1-cuda12.1-cudnn8-runtime
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@ -36,7 +36,7 @@ WORKDIR /ultralytics
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# Copy contents and configure git
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COPY . .
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RUN sed -i '/^\[http "https:\/\/github\.com\/"\]/,+1d' .git/config
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ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt .
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ADD https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n.pt .
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# Install pip packages
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RUN python3 -m pip install --upgrade pip wheel
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@ -45,8 +45,8 @@ RUN pip install -e ".[export]" "tensorrt-cu12==10.1.0" "albumentations>=1.4.6" c
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# Run exports to AutoInstall packages
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# Edge TPU export fails the first time so is run twice here
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RUN yolo export model=tmp/yolov8n.pt format=edgetpu imgsz=32 || yolo export model=tmp/yolov8n.pt format=edgetpu imgsz=32
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RUN yolo export model=tmp/yolov8n.pt format=ncnn imgsz=32
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RUN yolo export model=tmp/yolo11n.pt format=edgetpu imgsz=32 || yolo export model=tmp/yolo11n.pt format=edgetpu imgsz=32
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RUN yolo export model=tmp/yolo11n.pt format=ncnn imgsz=32
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# Requires <= Python 3.10, bug with paddlepaddle==2.5.0 https://github.com/PaddlePaddle/X2Paddle/issues/991
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RUN pip install "paddlepaddle>=2.6.0" x2paddle
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# Fix error: `np.bool` was a deprecated alias for the builtin `bool` segmentation error in Tests
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@ -31,7 +31,7 @@ WORKDIR /ultralytics
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# Copy contents and configure git
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COPY . .
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RUN sed -i '/^\[http "https:\/\/github\.com\/"\]/,+1d' .git/config
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ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt .
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ADD https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n.pt .
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# Install pip packages
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RUN python3 -m pip install --upgrade pip wheel
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@ -23,7 +23,7 @@ RUN apt-get update && \
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&& rm -rf /var/lib/apt/lists/*
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# Copy contents
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ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt .
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ADD https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n.pt .
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# Install conda packages
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# mkl required to fix 'OSError: libmkl_intel_lp64.so.2: cannot open shared object file: No such file or directory'
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# Ultralytics YOLO 🚀, AGPL-3.0 license
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# Builds ultralytics/ultralytics:latest-cpu image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
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# Image is CPU-optimized for ONNX, OpenVINO and PyTorch YOLOv8 deployments
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# Image is CPU-optimized for ONNX, OpenVINO and PyTorch YOLO11 deployments
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# Start FROM Ubuntu image https://hub.docker.com/_/ubuntu
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FROM ubuntu:23.10
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@ -29,15 +29,15 @@ WORKDIR /ultralytics
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# Copy contents and configure git
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COPY . .
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RUN sed -i '/^\[http "https:\/\/github\.com\/"\]/,+1d' .git/config
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ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt .
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ADD https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n.pt .
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# Install pip packages
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RUN python3 -m pip install --upgrade pip wheel
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RUN pip install -e ".[export]" --extra-index-url https://download.pytorch.org/whl/cpu
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# Run exports to AutoInstall packages
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RUN yolo export model=tmp/yolov8n.pt format=edgetpu imgsz=32
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RUN yolo export model=tmp/yolov8n.pt format=ncnn imgsz=32
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RUN yolo export model=tmp/yolo11n.pt format=edgetpu imgsz=32
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RUN yolo export model=tmp/yolo11n.pt format=ncnn imgsz=32
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# Requires Python<=3.10, bug with paddlepaddle==2.5.0 https://github.com/PaddlePaddle/X2Paddle/issues/991
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# RUN pip install "paddlepaddle>=2.6.0" x2paddle
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# Ultralytics YOLO 🚀, AGPL-3.0 license
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# Builds ultralytics/ultralytics:jetson-jetpack4 image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
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# Supports JetPack4.x for YOLOv8 on Jetson Nano, TX2, Xavier NX, AGX Xavier
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# Supports JetPack4.x for YOLO11 on Jetson Nano, TX2, Xavier NX, AGX Xavier
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# Start FROM https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-cuda
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FROM nvcr.io/nvidia/l4t-cuda:10.2.460-runtime
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@ -35,7 +35,7 @@ WORKDIR /ultralytics
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# Copy contents and configure git
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COPY . .
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RUN sed -i '/^\[http "https:\/\/github\.com\/"\]/,+1d' .git/config
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ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt .
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ADD https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n.pt .
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# Download onnxruntime-gpu 1.8.0 and tensorrt 8.2.0.6
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# Other versions can be seen in https://elinux.org/Jetson_Zoo and https://forums.developer.nvidia.com/t/pytorch-for-jetson/72048
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# Ultralytics YOLO 🚀, AGPL-3.0 license
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# Builds ultralytics/ultralytics:jetson-jetson-jetpack5 image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
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# Supports JetPack5.x for YOLOv8 on Jetson Xavier NX, AGX Xavier, AGX Orin, Orin Nano and Orin NX
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# Supports JetPack5.x for YOLO11 on Jetson Xavier NX, AGX Xavier, AGX Orin, Orin Nano and Orin NX
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# Start FROM https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-pytorch
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FROM nvcr.io/nvidia/l4t-pytorch:r35.2.1-pth2.0-py3
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@ -31,7 +31,7 @@ WORKDIR /ultralytics
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# Copy contents and configure git
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COPY . .
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RUN sed -i '/^\[http "https:\/\/github\.com\/"\]/,+1d' .git/config
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ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt .
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ADD https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n.pt .
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# Remove opencv-python from Ultralytics dependencies as it conflicts with opencv-python installed in base image
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RUN sed -i '/opencv-python/d' pyproject.toml
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# Ultralytics YOLO 🚀, AGPL-3.0 license
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# Builds ultralytics/ultralytics:jetson-jetpack6 image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
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# Supports JetPack6.x for YOLOv8 on Jetson AGX Orin, Orin NX and Orin Nano Series
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# Supports JetPack6.x for YOLO11 on Jetson AGX Orin, Orin NX and Orin Nano Series
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# Start FROM https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-jetpack
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FROM nvcr.io/nvidia/l4t-jetpack:r36.3.0
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@ -28,7 +28,7 @@ WORKDIR /ultralytics
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# Copy contents and configure git
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COPY . .
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RUN sed -i '/^\[http "https:\/\/github\.com\/"\]/,+1d' .git/config
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ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt .
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ADD https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n.pt .
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# Download onnxruntime-gpu 1.18.0 from https://elinux.org/Jetson_Zoo and https://forums.developer.nvidia.com/t/pytorch-for-jetson/72048
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ADD https://nvidia.box.com/shared/static/48dtuob7meiw6ebgfsfqakc9vse62sg4.whl onnxruntime_gpu-1.18.0-cp310-cp310-linux_aarch64.whl
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# Ultralytics YOLO 🚀, AGPL-3.0 license
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# Builds ultralytics/ultralytics:latest-cpu image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
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# Image is CPU-optimized for ONNX, OpenVINO and PyTorch YOLOv8 deployments
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# Image is CPU-optimized for ONNX, OpenVINO and PyTorch YOLO11 deployments
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# Use official Python base image for reproducibility (3.11.10 for export and 3.12.6 for inference)
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FROM python:3.11.10-slim-bookworm
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@ -29,15 +29,15 @@ WORKDIR /ultralytics
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# Copy contents and configure git
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COPY . .
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RUN sed -i '/^\[http "https:\/\/github\.com\/"\]/,+1d' .git/config
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ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt .
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ADD https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n.pt .
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# Install pip packages
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RUN python3 -m pip install --upgrade pip wheel
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RUN pip install -e ".[export]" --extra-index-url https://download.pytorch.org/whl/cpu
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# Run exports to AutoInstall packages
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RUN yolo export model=tmp/yolov8n.pt format=edgetpu imgsz=32
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RUN yolo export model=tmp/yolov8n.pt format=ncnn imgsz=32
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RUN yolo export model=tmp/yolo11n.pt format=edgetpu imgsz=32
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RUN yolo export model=tmp/yolo11n.pt format=ncnn imgsz=32
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# Requires Python<=3.10, bug with paddlepaddle==2.5.0 https://github.com/PaddlePaddle/X2Paddle/issues/991
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RUN pip install "paddlepaddle>=2.6.0" x2paddle
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# Ultralytics YOLO 🚀, AGPL-3.0 license
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# Builds GitHub actions CI runner image for deployment to DockerHub https://hub.docker.com/r/ultralytics/ultralytics
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# Image is CUDA-optimized for YOLOv8 single/multi-GPU training and inference tests
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# Image is CUDA-optimized for YOLO11 single/multi-GPU training and inference tests
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# Start FROM Ultralytics GPU image
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FROM ultralytics/ultralytics:latest
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