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coco dataset support, automatic aws weight upload #54

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merged 16 commits into from
Nov 9, 2021
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@fcakyon fcakyon commented Oct 27, 2021

  • Start a training using a COCO formatted dataset:
# data.yml
train_json_path: "train.json"
train_image_dir: "train_image_dir/"
val_json_path: "val.json"
val_image_dir: "val_image_dir/"
$ yolov5 train --data data.yaml --weights yolov5s.pt
  • Automatically upload weights to AWS S3 (with Neptune.AI artifact tracking integration):
export AWS_ACCESS_KEY_ID=YOUR_KEY
export AWS_SECRET_ACCESS_KEY=YOUR_KEY
$ yolov5 train --data data.yaml --weights yolov5s.pt --s3_dir YOUR_S3_FOLDER_DIRECTORY

@fcakyon fcakyon added the enhancement New feature or request label Oct 27, 2021
@fcakyon fcakyon self-assigned this Oct 27, 2021
@fcakyon fcakyon changed the title add automatic aws weight upload coco dataset support, automatic aws weight upload Nov 2, 2021
@fcakyon fcakyon merged commit 07c9cab into main Nov 9, 2021
ameicler pushed a commit to ameicler/yolov5-pip that referenced this pull request Apr 18, 2022
* ignore neptune logs

* ignore neptune logs

* add s3 weight upload to readme

* add s3 file upload util

* integrate automatic s3 upload

* add missing boto3 requirement

* update logging

* better exception handling

* update s3 weight dir

* add coco styled data support for training

* add sahi dependency

* update sahi version

* fix wandb logging error

* fix category based ap logging

* minor fix
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