Comments (2)
{% set name = "solt" %}
{% set version = "0.1.9" %}
package:
name: {{ name|lower }}
version: {{ version }}
source:
url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/solt-{{ version }}.tar.gz # PyPI
#url: https://github.com/Oulu-IMEDS/solt/archive/refs/tags/v0.1.9.tar.gz
##url: https://github.com/Oulu-IMEDS/solt/releases/download/v{{ version }}/solt-{{ version }}.tar.gz
sha256: d6c665f530afd531c176c58a98309bcebcf0d5a8b3741cc85a7afbae41eb6e13
build:
number: 0
noarch: python
skip: True # [py<36]
script: {{ PYTHON }} -m pip install . -vv
requirements:
host:
- pip
- python
build:
- patch # [not win]
- m2-patch # [win]
run:
- numpy
- opencv-python-headless
- python
- pyyaml
- scipy
- torch
- torchvision
test:
imports:
- solt
commands:
- pip check
requires:
- pip
- pytest
about:
home: https://oulu-imeds.github.io/solt/
summary: Optimized data augmentation library for Deep Learning
description: |
Data augmentation library for Deep Learning, which supports images,
segmentation masks, labels and keypoints. Furthermore, SOLT is fast
and has OpenCV in its backend. Full auto-generated docs and
examples are available here: https://mipt-oulu.github.io/solt/.
license: MIT
license_family: MIT
license_file: LICENSE
doc_url: https://oulu-imeds.github.io/solt/
dev_url: https://github.com/Oulu-IMEDS/solt
extra:
recipe-maintainers: # GitHub IDs for maintainers of the recipe
- lext
from solt.
I suppose better would be to build (EDIT: the recipe) fully on conda
and remove references to pip
if possible? At least all the listed requirements seem to be available through conda
.
from solt.
Related Issues (20)
- RandAugment Implementation HOT 2
- GridMask HOT 1
- Docs aren't building
- Allow to randomly select random number of augmentations in Selective stream
- Add Kornia to the benchmark
- Incorrect serialization of a cropping transform HOT 1
- Brightness needs to support percentages of the mean intensity
- Allow for any number of cutouts in the CutOut transform
- Implement Random Smooth Intensity Scaling Transform
- Fix incorrect Cutout test HOT 1
- Crashed without clear error message when tranforming multiple images with different shapes HOT 4
- NameError: name 'ktps' is not defined HOT 3
- Compatibility issues with latest pytorch HOT 1
- Make resize() with int input keep ratio aspect
- Fix the documentation bug HOT 1
- Broken README file documentation link HOT 1
- Requesting additional accepted type 'list' to support reading from yaml-file HOT 4
- Fix documentation website
- Add Github actions integration HOT 1
- Add a proper list of papers that refer to SOLT
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from solt.