You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
92 lines
4.0 KiB
92 lines
4.0 KiB
# 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 YOLO11 single/multi-GPU training and inference |
|
|
|
# Start FROM PyTorch image https://hub.docker.com/r/pytorch/pytorch or nvcr.io/nvidia/pytorch:23.03-py3 |
|
FROM pytorch/pytorch:2.5.0-cuda12.4-cudnn9-runtime |
|
|
|
# Set environment variables |
|
# Avoid DDP error "MKL_THREADING_LAYER=INTEL is incompatible with libgomp.so.1 library" https://github.com/pytorch/pytorch/issues/37377 |
|
ENV PYTHONUNBUFFERED=1 \ |
|
PYTHONDONTWRITEBYTECODE=1 \ |
|
PIP_NO_CACHE_DIR=1 \ |
|
PIP_BREAK_SYSTEM_PACKAGES=1 \ |
|
MKL_THREADING_LAYER=GNU \ |
|
OMP_NUM_THREADS=1 |
|
|
|
# Downloads to user config dir |
|
ADD https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.ttf \ |
|
https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.Unicode.ttf \ |
|
/root/.config/Ultralytics/ |
|
|
|
# Install linux packages |
|
# g++ required to build 'tflite_support' and 'lap' packages, libusb-1.0-0 required for 'tflite_support' package |
|
# libsm6 required by libqxcb to create QT-based windows for visualization; set 'QT_DEBUG_PLUGINS=1' to test in docker |
|
RUN apt-get update && \ |
|
apt-get install -y --no-install-recommends \ |
|
gcc git zip unzip wget curl htop libgl1 libglib2.0-0 libpython3-dev gnupg g++ libusb-1.0-0 libsm6 \ |
|
&& rm -rf /var/lib/apt/lists/* |
|
|
|
# Security updates |
|
# https://security.snyk.io/vuln/SNYK-UBUNTU1804-OPENSSL-3314796 |
|
RUN apt upgrade --no-install-recommends -y openssl tar |
|
|
|
# Create working directory |
|
WORKDIR /ultralytics |
|
|
|
# Copy contents and configure git |
|
COPY . . |
|
RUN sed -i '/^\[http "https:\/\/github\.com\/"\]/,+1d' .git/config |
|
ADD https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n.pt . |
|
|
|
# Install pip packages |
|
RUN python3 -m pip install --upgrade pip wheel |
|
# Note -cu12 must be used with tensorrt) |
|
RUN pip install -e ".[export]" tensorrt-cu12 "albumentations>=1.4.6" comet pycocotools |
|
|
|
# Run exports to AutoInstall packages |
|
# Edge TPU export fails the first time so is run twice here |
|
RUN yolo export model=tmp/yolo11n.pt format=edgetpu imgsz=32 || yolo export model=tmp/yolo11n.pt format=edgetpu imgsz=32 |
|
RUN yolo export model=tmp/yolo11n.pt format=ncnn imgsz=32 |
|
# Requires <= Python 3.10, bug with paddlepaddle==2.5.0 https://github.com/PaddlePaddle/X2Paddle/issues/991 |
|
RUN pip install "paddlepaddle>=2.6.0" x2paddle |
|
# Fix error: `np.bool` was a deprecated alias for the builtin `bool` segmentation error in Tests |
|
RUN pip install numpy==1.23.5 |
|
|
|
# Remove extra build files |
|
RUN rm -rf tmp /root/.config/Ultralytics/persistent_cache.json |
|
|
|
# Usage Examples ------------------------------------------------------------------------------------------------------- |
|
|
|
# Build and Push |
|
# t=ultralytics/ultralytics:latest && sudo docker build -f docker/Dockerfile -t $t . && sudo docker push $t |
|
|
|
# Pull and Run with access to all GPUs |
|
# t=ultralytics/ultralytics:latest && sudo docker pull $t && sudo docker run -it --ipc=host --gpus all $t |
|
|
|
# Pull and Run with access to GPUs 2 and 3 (inside container CUDA devices will appear as 0 and 1) |
|
# t=ultralytics/ultralytics:latest && sudo docker pull $t && sudo docker run -it --ipc=host --gpus '"device=2,3"' $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)"/shared/datasets:/datasets $t |
|
|
|
# Kill all |
|
# sudo docker kill $(sudo docker ps -q) |
|
|
|
# Kill all image-based |
|
# sudo docker kill $(sudo docker ps -qa --filter ancestor=ultralytics/ultralytics:latest) |
|
|
|
# DockerHub tag update |
|
# t=ultralytics/ultralytics:latest tnew=ultralytics/ultralytics:v6.2 && sudo docker pull $t && sudo docker tag $t $tnew && sudo docker push $tnew |
|
|
|
# Clean up |
|
# sudo docker system prune -a --volumes |
|
|
|
# Update Ubuntu drivers |
|
# https://www.maketecheasier.com/install-nvidia-drivers-ubuntu/ |
|
|
|
# DDP test |
|
# python -m torch.distributed.run --nproc_per_node 2 --master_port 1 train.py --epochs 3 |
|
|
|
# GCP VM from Image |
|
# docker.io/ultralytics/ultralytics:latest
|
|
|