-
-
Notifications
You must be signed in to change notification settings - Fork 3.4k
GCP Quickstart
Glenn Jocher edited this page Nov 30, 2019
·
24 revisions
To get started using this repo quickly using a Google Cloud Platform (GCP) Deep Learning Virtual Machine (VM) follow the instructions below. New GCP users are eligible for a $300 free credit offer. Other quickstart options for this repo include our Google Colab Notebook and our latest Docker Image.
Select a PyTorch >=1.3 image from the GCP marketplace, check 'install GPU driver automatically', and select a 100 GB SSD for sufficient I/O speed. All dependencies are included in the preinstalled Anaconda distribution.
![Screen Shot 2019-11-23 at 11 16 01 AM](https://user-images.githubusercontent.com/26833433/69485379-c198ad80-0de2-11ea-9a23-a581d4fa83a7.png)
Clone repo:
git clone https://github.com/ultralytics/yolov3
Download COCO dataset:
bash yolov3/data/get_coco_dataset_gdrive.sh
cd yolov3
and:
-
Train:
python3 train.py
-
Test:
python3 test.py
-
Detect:
python3 detect.py
![Screen Shot 2019-11-30 at 2 25 06 PM](https://user-images.githubusercontent.com/26833433/69906773-700d9700-137d-11ea-9a5f-b5c541b61930.png)
© 2024 Ultralytics Inc. All rights reserved.
https://ultralytics.com