Skip to main content

IrisML tasks to use timm library

Project description

irisml-tasks-timm

Timm-related tasks for IrisML pipeline.

Please visit IrisML repository for the details.

Installation

pip install irisml-tasks-timm

Tasks

create_timm_model

Create a timm model. Please use timm.list_models() method to find available model names.

class Config:
    name: str
    num_classes: int
    pretrained: bool = False
    task_type: typing.Literal['multiclass_classification', 'multilabel_classification'] = 'multiclass_classification'

create_timm_transform

Create a timm transform. The task output contains train_transform and val_transform.

class Config:
    input_size: int
    crop_pct: float = 0.875  # Center crop the image with this ratio.
    interpolation: typing.Literal['bilinear', 'bicubic'] = 'bilinear'

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

irisml-tasks-timm-0.0.1.tar.gz (4.0 kB view details)

Uploaded Source

Built Distribution

irisml_tasks_timm-0.0.1-py3-none-any.whl (4.4 kB view details)

Uploaded Python 3

File details

Details for the file irisml-tasks-timm-0.0.1.tar.gz.

File metadata

  • Download URL: irisml-tasks-timm-0.0.1.tar.gz
  • Upload date:
  • Size: 4.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for irisml-tasks-timm-0.0.1.tar.gz
Algorithm Hash digest
SHA256 c5e57f42fbf606626bbebb1273e56000aaa241fd996329c10c1a2baa8357e4ca
MD5 d4489fa6e6df1dc64c12747822f103e7
BLAKE2b-256 bd286ed0f8344b798886db52ffefd368e961bd80df074e3039b2348d608d97cf

See more details on using hashes here.

File details

Details for the file irisml_tasks_timm-0.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for irisml_tasks_timm-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 0da0e5a54adbdf498489a209f6fb058b766c3a4f8df55b0967b3ce712b1f1861
MD5 8fb7784486783a9a537dda6151c082f7
BLAKE2b-256 12e435972d2ce937c31f1990905b353fb3d403f7e6b25f6bc466cce04fcfe049

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page