Update Dockerfile

Signed-off-by: Bubbles The Dev <[email protected]>

ultralytics1/utils/docker/Dockerfile

@@ -1,74 +1,40 @@
-# 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 with an official CUDA base image that is compatible with PyTorch 2.5.1
+FROM nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu20.04
 
-# Start FROM PyTorch image https://hub.docker.com/r/pytorch/pytorch
-FROM pytorch/pytorch:2.0.0-cuda11.7-cudnn8-runtime
+# Set environment variable to suppress prompts during installation
+ENV DEBIAN_FRONTEND=noninteractive
 
-# Downloads to user config dir
-ADD https://ultralytics.com/assets/Arial.ttf https://ultralytics.com/assets/Arial.Unicode.ttf /root/.config/Ultralytics/
+# Install Python and other dependencies
+RUN apt-get update && apt-get install -y \
+    python3 python3-pip python3-dev \
+    gcc git zip curl htop libgl1-mesa-glx libglib2.0-0 tzdata && \
+    rm -rf /var/lib/apt/lists/*
 
-# Install linux packages
-ENV DEBIAN_FRONTEND noninteractive
-RUN apt update
-RUN TZ=Etc/UTC apt install -y tzdata
-RUN apt install --no-install-recommends -y gcc git zip curl htop libgl1-mesa-glx libglib2.0-0 libpython3-dev gnupg
-# RUN alias python=python3
+# Set Python 3 as default
+RUN update-alternatives --install /usr/bin/python python /usr/bin/python3 1
 
-# Security updates
-# https://security.snyk.io/vuln/SNYK-UBUNTU1804-OPENSSL-3314796
-RUN apt upgrade --no-install-recommends -y openssl
+# Upgrade pip and install PyTorch 2.5.1 with CUDA 11.8
+RUN pip install --upgrade pip
+RUN pip install torch==2.5.1+cu118 torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
 
 # Create working directory
-RUN rm -rf /usr/src/app && mkdir -p /usr/src/app
+RUN mkdir -p /usr/src/app
 WORKDIR /usr/src/app
 
-# Copy contents
-# COPY . /usr/src/app  (issues as not a .git directory)
+# Clone the latest YOLOv5 repository
 RUN git clone https://github.com/ultralytics/yolov5 /usr/src/app
 
-# Install pip packages
+# Copy requirements.txt if you have custom dependencies
 COPY requirements.txt .
-RUN python3 -m pip install --upgrade pip wheel
-RUN pip install --no-cache -r requirements.txt albumentations comet gsutil notebook \
+RUN pip install --no-cache-dir -r requirements.txt albumentations comet gsutil notebook \
     coremltools onnx onnx-simplifier onnxruntime 'openvino-dev>=2022.3'
-    # tensorflow tensorflowjs \
 
 # Set environment variables
 ENV OMP_NUM_THREADS=1
 
-# Cleanup
-ENV DEBIAN_FRONTEND teletype
+# Add any other optional configurations or commands here
+# ...
 
-
-# Usage Examples -------------------------------------------------------------------------------------------------------
-
-# Build and Push
-# t=ultralytics/yolov5:latest && sudo docker build -f utils/docker/Dockerfile -t $t . && sudo docker push $t
-
-# Pull and Run
-# t=ultralytics/yolov5:latest && sudo docker pull $t && sudo docker run -it --ipc=host --gpus all $t
-
-# Pull and Run with local directory access
-# t=ultralytics/yolov5:latest && sudo docker pull $t && sudo docker run -it --ipc=host --gpus all -v "$(pwd)"/datasets:/usr/src/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/yolov5:latest)
-
-# DockerHub tag update
-# t=ultralytics/yolov5:latest tnew=ultralytics/yolov5: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/yolov5:latest
+# Usage Examples (commented for reference)
+# To build: docker build -t my-yolov5-image .
+# To run: docker run -it --ipc=host --gpus all my-yolov5-im