76807fae71
* YOLOv5 forward compatibility update * add data dir * ci test yolov3 * update build_targets() * update build_targets() * update build_targets() * update yolov3-spp.yaml * add yolov3-tiny.yaml * add yolov3-tiny.yaml * Update yolov3-tiny.yaml * thop bug fix * Detection() device bug fix * Use torchvision.ops.nms() * Remove redundant download mirror * CI tests with yolov3-tiny * Update README.md * Synch train and test iou_thresh * update requirements.txt * Cat apriori autolabels * Confusion matrix * Autosplit * Autosplit * Update README.md * AP no plot * Update caching * Update caching * Caching bug fix * --image-weights bug fix * datasets bug fix * mosaic plots bug fix * plot_study * boxes.max() * boxes.max() * boxes.max() * boxes.max() * boxes.max() * boxes.max() * update * Update README * Update README * Update README.md * Update README.md * results png * Update README * Targets scaling bug fix * update plot_study * update plot_study * update plot_study * update plot_study * Targets scaling bug fix * Finish Readme.md * Finish Readme.md * Finish Readme.md * Update README.md * Creado con Colaboratory
53 lines
1.8 KiB
Docker
53 lines
1.8 KiB
Docker
# Start FROM Nvidia PyTorch image https://ngc.nvidia.com/catalog/containers/nvidia:pytorch
|
|
FROM nvcr.io/nvidia/pytorch:20.10-py3
|
|
|
|
# Install dependencies
|
|
RUN pip install --upgrade pip
|
|
# COPY requirements.txt .
|
|
# RUN pip install -r requirements.txt
|
|
RUN pip install gsutil
|
|
|
|
# Create working directory
|
|
RUN mkdir -p /usr/src/app
|
|
WORKDIR /usr/src/app
|
|
|
|
# Copy contents
|
|
COPY . /usr/src/app
|
|
|
|
# Copy weights
|
|
#RUN python3 -c "from models import *; \
|
|
#attempt_download('weights/yolov3.pt'); \
|
|
#attempt_download('weights/yolov3-spp.pt'); \
|
|
#attempt_download('weights/yolov3-tiny.pt')"
|
|
|
|
|
|
# --------------------------------------------------- Extras Below ---------------------------------------------------
|
|
|
|
# Build and Push
|
|
# t=ultralytics/yolov3:latest && sudo docker build -t $t . && sudo docker push $t
|
|
# for v in {300..303}; do t=ultralytics/coco:v$v && sudo docker build -t $t . && sudo docker push $t; done
|
|
|
|
# Pull and Run
|
|
# t=ultralytics/yolov3:latest && sudo docker pull $t && sudo docker run -it --ipc=host $t
|
|
|
|
# Pull and Run with local directory access
|
|
# t=ultralytics/yolov3:latest && sudo docker pull $t && sudo docker run -it --ipc=host --gpus all -v "$(pwd)"/coco:/usr/src/coco $t
|
|
|
|
# Kill all
|
|
# sudo docker kill $(sudo docker ps -q)
|
|
|
|
# Kill all image-based
|
|
# sudo docker kill $(sudo docker ps -a -q --filter ancestor=ultralytics/yolov3:latest)
|
|
|
|
# Bash into running container
|
|
# sudo docker container exec -it ba65811811ab bash
|
|
|
|
# Bash into stopped container
|
|
# sudo docker commit 092b16b25c5b usr/resume && sudo docker run -it --gpus all --ipc=host -v "$(pwd)"/coco:/usr/src/coco --entrypoint=sh usr/resume
|
|
|
|
# Send weights to GCP
|
|
# python -c "from utils.general import *; strip_optimizer('runs/train/exp0_*/weights/best.pt', 'tmp.pt')" && gsutil cp tmp.pt gs://*.pt
|
|
|
|
# Clean up
|
|
# docker system prune -a --volumes
|