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GitHub / eora-ai / torchok

Production-oriented Computer Vision models training pipeline for common tasks: classification, segmentation, detection and representation🥤

Stars: 55
Forks: 6
Open Issues: 24

License: apache-2.0
Language: Python
Repo Size: 56.1 MB
Dependencies: 165

Created: over 2 years ago
Updated: 4 months ago
Last pushed: 11 months ago
Last synced: about 1 month ago

Commits: 878
Authors: 11
Mean commits per author: 79.82
Development Distribution Score: 0.752
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/eora-ai/torchok

Readme

requirements/dev.txt pypi

requirements/docs.txt pypi

.github/workflows/cd.yml actions

.github/workflows/ci.yml actions

Dockerfile docker

environment.yml pypi

pyproject.toml pypi

albumentations 1.3.0
faiss-cpu 1.7.2
hydra-core ~1.2
imagesize 1.4.1
mmdet 2.26.0
numpy --- - !ruby/hash:ActiveSupport::HashWithIndifferentAccess version: "~1.22" python: ">=3.8,<3.11" - !ruby/hash:ActiveSupport::HashWithIndifferentAccess version: "~1.21" python: ">=3.7.1,<3.8"
onnx ~1.12
onnxruntime-gpu ~1.12
opencv-python ~4.6
pandas --- - !ruby/hash:ActiveSupport::HashWithIndifferentAccess version: "~1.4" python: ">=3.8,<3.11" - !ruby/hash:ActiveSupport::HashWithIndifferentAccess version: "~1.3" python: ">=3.7.1,<3.8"
parameterized ~0.8
pillow ~9.1
python >=3.7,<3.11
pytorch-lightning 1.8.4.post0
ranx ~0.2
timm ~0.6
torch 1.12.1
torchmetrics ~0.11
torchvision 0.13.1

requirements/examples.txt pypi

.github/workflows/training_test.yml actions

.ci/Dockerfile docker

poetry.lock pypi