yolov5/utils/loggers/wandb/log_dataset.py
Ayush Chaurasia 540ef0dd30
W&B refactor, handle exceptions, CI example (#5618)
* handle exceptions| attempt CI

* update

* Pre-commit manual run

* yaml one-liner

* Update ci-testing.yml

* Comment W&B CI

Leave as example for future separate CI

* Update ci-testing.yml

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-11-14 13:26:53 +01:00

28 lines
1.0 KiB
Python

import argparse
from wandb_utils import WandbLogger
from utils.general import LOGGER
WANDB_ARTIFACT_PREFIX = 'wandb-artifact://'
def create_dataset_artifact(opt):
logger = WandbLogger(opt, None, job_type='Dataset Creation') # TODO: return value unused
if not logger.wandb:
LOGGER.info("install wandb using `pip install wandb` to log the dataset")
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--data', type=str, default='data/coco128.yaml', help='data.yaml path')
parser.add_argument('--single-cls', action='store_true', help='train as single-class dataset')
parser.add_argument('--project', type=str, default='YOLOv5', help='name of W&B Project')
parser.add_argument('--entity', default=None, help='W&B entity')
parser.add_argument('--name', type=str, default='log dataset', help='name of W&B run')
opt = parser.parse_args()
opt.resume = False # Explicitly disallow resume check for dataset upload job
create_dataset_artifact(opt)