mirror of
https://github.com/vladmandic/automatic
synced 2026-04-09 10:11:53 +02:00
@@ -13,20 +13,17 @@ repos:
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rev: v6.0.0
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hooks:
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- id: check-added-large-files
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- id: check-case-conflict
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- id: check-merge-conflict
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- id: check-symlinks
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- id: check-illegal-windows-names
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- id: check-merge-conflict
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- id: detect-private-key
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- id: check-builtin-literals
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- id: check-case-conflict
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- id: check-illegal-windows-names
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- id: check-merge-conflict
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- id: check-symlinks
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- id: check-yaml
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- id: check-json
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- id: check-toml
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- id: check-xml
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- id: check-yaml
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- id: debug-statements
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- id: detect-private-key
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- id: end-of-file-fixer
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- id: mixed-line-ending
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- id: check-executables-have-shebangs
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@@ -42,7 +39,12 @@ repos:
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.github/ISSUE_TEMPLATE/.*\.yml
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)$
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- repo: https://github.com/oliv5/pre-commit-indents-to-spaces
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rev: v0.0.1
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rev: v0.0.3
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hooks:
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- id: indents-to-tabs
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args: ["--spaces=4"]
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- id: indents-to-spaces
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args: ["--spaces=4"]
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types: [python]
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- id: indents-to-spaces
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args: ["--spaces=2"]
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types: [file]
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files: \.(json|js|mjs|css|html|md|yaml|toml|sh)$
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@@ -216,10 +216,10 @@ Speed: 22 FPS
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- New models based on [Dense Prediction Transformers](https://arxiv.org/abs/2103.13413) are on average [21% more accurate](#Accuracy) than MiDaS v2.1
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- Additional models can be found [here](https://github.com/isl-org/DPT)
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* [Nov 2020] Released MiDaS v2.1:
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- New model that was trained on 10 datasets and is on average about [10% more accurate](#Accuracy) than [MiDaS v2.0](https://github.com/isl-org/MiDaS/releases/tag/v2)
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- New light-weight model that achieves [real-time performance](https://github.com/isl-org/MiDaS/tree/master/mobile) on mobile platforms.
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- Sample applications for [iOS](https://github.com/isl-org/MiDaS/tree/master/mobile/ios) and [Android](https://github.com/isl-org/MiDaS/tree/master/mobile/android)
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- [ROS package](https://github.com/isl-org/MiDaS/tree/master/ros) for easy deployment on robots
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- New model that was trained on 10 datasets and is on average about [10% more accurate](#Accuracy) than [MiDaS v2.0](https://github.com/isl-org/MiDaS/releases/tag/v2)
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- New light-weight model that achieves [real-time performance](https://github.com/isl-org/MiDaS/tree/master/mobile) on mobile platforms.
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- Sample applications for [iOS](https://github.com/isl-org/MiDaS/tree/master/mobile/ios) and [Android](https://github.com/isl-org/MiDaS/tree/master/mobile/android)
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- [ROS package](https://github.com/isl-org/MiDaS/tree/master/ros) for easy deployment on robots
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* [Jul 2020] Added TensorFlow and ONNX code. Added [online demo](http://35.202.76.57/).
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* [Dec 2019] Released new version of MiDaS - the new model is significantly more accurate and robust
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* [Jul 2019] Initial release of MiDaS ([Link](https://github.com/isl-org/MiDaS/releases/tag/v1))
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@@ -242,10 +242,10 @@ If you use a DPT-based model, please also cite:
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```
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@article{Ranftl2021,
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author = {Ren\'{e} Ranftl and Alexey Bochkovskiy and Vladlen Koltun},
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title = {Vision Transformers for Dense Prediction},
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journal = {ICCV},
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year = {2021},
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author = {Ren\'{e} Ranftl and Alexey Bochkovskiy and Vladlen Koltun},
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title = {Vision Transformers for Dense Prediction},
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journal = {ICCV},
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year = {2021},
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}
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```
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