Merge pull request #860 from roboflow/docs/notebooks
docs(page): 🚀 Supervision Cookbook
This commit is contained in:
Piotr Skalski
GitHub
commit
82b18ae3f8
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@ -21,15 +21,23 @@ jobs:
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- name: 🐍 Set up Python
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uses: actions/setup-python@v5
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with:
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python-version: 3.x
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python-version: '3.10'
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- name: 📦 Install mkdocs-material
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run: pip install mkdocs-material
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run: pip install "mkdocs-material[all]"
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- name: 📦 Install mkdocstrings[python]
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run: pip install "mkdocstrings[python]"
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- name: 📦 Install mkdocs-material[imaging]
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run: pip install "mkdocs-material[imaging]"
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- name: 📦 Install mike
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run: pip install "mike"
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- name: 📦 Install mkdocs-git-revision-date-localized-plugin
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run: pip install "mkdocs-git-revision-date-localized-plugin"
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- name: 📦 Install JupyterLab
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run: pip install jupyterlab
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- name: 📦 Install mkdocs-jupyter
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run: pip install mkdocs-jupyter
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- name: 📦 Install mkdocs-git-committers-plugin-2
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run: pip install mkdocs-git-committers-plugin-2
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- name: ⚙️ Configure git for github-actions
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run: |
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git config --global user.name "github-actions[bot]"
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@ -133,9 +133,6 @@ dmypy.json
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# Pyre type checker
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.pyre/
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# Notebooks
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notebooks/
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# OSX folder attributes
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.DS_Store
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.AppleDouble
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@ -21,7 +21,7 @@
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[](https://colab.research.google.com/github/roboflow/supervision/blob/main/demo.ipynb)
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[](https://huggingface.co/spaces/Roboflow/Annotators)
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[](https://discord.gg/GbfgXGJ8Bk)
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[](https://squidfunk.github.io/mkdocs-material/)
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</div>
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## 👋 hello
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@ -12,11 +12,23 @@
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"\n",
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"---\n",
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"\n",
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"[](https://badge.fury.io/py/supervision)\n",
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"[](https://pypistats.org/packages/supervision)\n",
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"[](https://github.com/roboflow/supervision/blob/main/LICENSE.md)\n",
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"[](https://badge.fury.io/py/supervision)\n",
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"[](https://github.com/roboflow/supervision)\n",
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"<p align=\"center\">\n",
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" <a href=\"https://badge.fury.io/py/supervision\"><img src=\"https://badge.fury.io/py/supervision.svg\" alt=\"version\"></a>\n",
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" <a href=\"https://pypistats.org/packages/supervision\"><img src=\"https://img.shields.io/pypi/dm/supervision\" alt=\"downloads\"></a>\n",
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" <a href=\"https://github.com/roboflow/supervision/blob/main/LICENSE.md\"><img src=\"https://img.shields.io/pypi/l/supervision\" alt=\"license\"></a>\n",
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" <a href=\"https://badge.fury.io/py/supervision\"><img src=\"https://img.shields.io/pypi/pyversions/supervision\" alt=\"python-version\"></a>\n",
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" <a href=\"https://github.com/roboflow/supervision\"><img src=\"https://badges.aleen42.com/src/github.svg\" alt=\"GitHub\"></a>\n",
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"</p>\n",
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"\n",
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"<p align=\"center\">\n",
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" <a href=\"https://colab.research.google.com/github/roboflow/supervision/blob/main/demo.ipynb\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Colab\"></a>\n",
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" <a href=\"https://kaggle.com/kernels/welcome?src=https://github.com/roboflow/supervision/blob/main/demo.ipynb\"><img src=\"https://kaggle.com/static/images/open-in-kaggle.svg\" alt=\"Kaggle\"></a>\n",
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" <a href=\"https://studiolab.sagemaker.aws/import/github/roboflow/supervision/blob/main/demo.ipynb\"><img src=\"https://raw.githubusercontent.com/roboflow-ai/notebooks/main/assets/badges/sage-maker.svg\" alt=\"SageMaker\"></a>\n",
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" <a href=\"https://nbviewer.jupyter.org/github/roboflow/supervision/blob/main/demo.ipynb\"><img src=\"https://img.shields.io/badge/Open_in_Nbviewer-F37626.svg?logo=Jupyter&logoColor=white\" alt=\"nbviewer\">\n",
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" <a href=\"https://mybinder.org/v2/gh/roboflow/supervision/develop?labpath=demo.ipynb\"><img src=\"https://mybinder.org/badge_logo.svg\" alt=\"Binder\"></a>\n",
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" <a href=\"https://github.com/roboflow/supervision/raw/main/demo.ipynb\" download><img src=\"https://img.shields.io/badge/Download-Notebook-A351FB.svg\" alt=\"Download\"></a>\n",
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"</p>\n",
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"\n",
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"\n",
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"We write your reusable computer vision tools. Whether you need to load your dataset from your hard drive, draw detections on an image or video, or count how many detections are in a zone. You can count on us! 🤝\n",
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"\n",
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@ -7,8 +7,7 @@ comments: true
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Supervision offers an assets download utility that allows you to download video files
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that you can use in your demos.
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## install extra
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## Install extra
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To install the Supervision assets utility, you can use `pip`. This utility is available
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as an extra within the Supervision package.
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@ -1,6 +1,6 @@
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### 0.18.0 <small>January 25, 2024</small>
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- Added [#633](https://github.com/roboflow/supervision/pull/720): [`sv.PercentageBarAnnotator`](0.18.0/annotators/#percentagebarannotator) allowing to annotate images and videos with percentage values representing confidence or other custom property.
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- Added [#633](https://github.com/roboflow/supervision/pull/720): [`sv.PercentageBarAnnotator`](/0.18.0/annotators/#percentagebarannotator) allowing to annotate images and videos with percentage values representing confidence or other custom property.
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```python
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>>> import supervision as sv
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@ -0,0 +1,8 @@
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---
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template: cookbooks.html
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comments: true
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status: new
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hide:
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- navigation
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- toc
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---
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@ -44,7 +44,7 @@ Now that we have predictions from a model, we can load them into Supervision.
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=== "Ultralytics"
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We can do so using the [`sv.Detections.from_ultralytics`](/latest/detection/core/#supervision.detection.core.Detections.from_ultralytics) method, which accepts model results from both detection and segmentation models.
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We can do so using the [`sv.Detections.from_ultralytics`](detection/core/#supervision.detection.core.Detections.from_ultralytics) method, which accepts model results from both detection and segmentation models.
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```python
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import cv2
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@ -59,7 +59,7 @@ Now that we have predictions from a model, we can load them into Supervision.
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=== "Inference"
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We can do so using the [`sv.Detections.from_inference`](/latest/detection/core/#supervision.detection.core.Detections.from_inference) method, which accepts model results from both detection and segmentation models.
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We can do so using the [`sv.Detections.from_inference`](detection/core/#supervision.detection.core.Detections.from_inference) method, which accepts model results from both detection and segmentation models.
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```python
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import cv2
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@ -74,17 +74,17 @@ Now that we have predictions from a model, we can load them into Supervision.
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You can conveniently load predictions from other computer vision frameworks and libraries using:
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- [`from_deepsparse`](/latest/detection/core/#supervision.detection.core.Detections.from_deepsparse) ([Deepsparse](https://github.com/neuralmagic/deepsparse))
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- [`from_detectron2`](/latest/detection/core/#supervision.detection.core.Detections.from_detectron2) ([Detectron2](https://github.com/facebookresearch/detectron2))
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- [`from_mmdetection`](/latest/detection/core/#supervision.detection.core.Detections.from_mmdetection) ([MMDetection](https://github.com/open-mmlab/mmdetection))
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- [`from_inference`](/latest/detection/core/#supervision.detection.core.Detections.from_inference) ([Roboflow Inference](https://github.com/roboflow/inference))
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- [`from_sam`](/latest/detection/core/#supervision.detection.core.Detections.from_sam) ([Segment Anything Model](https://github.com/facebookresearch/segment-anything))
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- [`from_transformers`](/latest/detection/core/#supervision.detection.core.Detections.from_transformers) ([HuggingFace Transformers](https://github.com/huggingface/transformers))
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- [`from_yolo_nas`](/latest/detection/core/#supervision.detection.core.Detections.from_yolo_nas) ([YOLO-NAS](https://github.com/Deci-AI/super-gradients/blob/master/YOLONAS.md))
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- [`from_deepsparse`](detection/core/#supervision.detection.core.Detections.from_deepsparse) ([Deepsparse](https://github.com/neuralmagic/deepsparse))
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- [`from_detectron2`](detection/core/#supervision.detection.core.Detections.from_detectron2) ([Detectron2](https://github.com/facebookresearch/detectron2))
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- [`from_mmdetection`](detection/core/#supervision.detection.core.Detections.from_mmdetection) ([MMDetection](https://github.com/open-mmlab/mmdetection))
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- [`from_inference`](detection/core/#supervision.detection.core.Detections.from_inference) ([Roboflow Inference](https://github.com/roboflow/inference))
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- [`from_sam`](detection/core/#supervision.detection.core.Detections.from_sam) ([Segment Anything Model](https://github.com/facebookresearch/segment-anything))
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- [`from_transformers`](detection/core/#supervision.detection.core.Detections.from_transformers) ([HuggingFace Transformers](https://github.com/huggingface/transformers))
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- [`from_yolo_nas`](detection/core/#supervision.detection.core.Detections.from_yolo_nas) ([YOLO-NAS](https://github.com/Deci-AI/super-gradients/blob/master/YOLONAS.md))
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## Annotate Image
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Finally, we can annotate the image with the predictions. Since we are working with an object detection model, we will use the [`sv.BoundingBoxAnnotator`](/latest/annotators/#supervision.annotators.core.BoundingBoxAnnotator) and [`sv.LabelAnnotator`](/latest/annotators/#supervision.annotators.core.LabelAnnotator) classes. If you are running the segmentation model [`sv.MaskAnnotator`](/latest/annotators/#supervision.annotators.core.MaskAnnotator) is a drop-in replacement for [`sv.BoundingBoxAnnotator`](/latest/annotators/#supervision.annotators.core.BoundingBoxAnnotator) that will allow you to draw masks instead of boxes.
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Finally, we can annotate the image with the predictions. Since we are working with an object detection model, we will use the [`sv.BoundingBoxAnnotator`](annotators/#supervision.annotators.core.BoundingBoxAnnotator) and [`sv.LabelAnnotator`](annotators/#supervision.annotators.core.LabelAnnotator) classes. If you are running the segmentation model [`sv.MaskAnnotator`](annotators/#supervision.annotators.core.MaskAnnotator) is a drop-in replacement for [`sv.BoundingBoxAnnotator`](annotators/#supervision.annotators.core.BoundingBoxAnnotator) that will allow you to draw masks instead of boxes.
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=== "Ultralytics"
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@ -138,7 +138,7 @@ Finally, we can annotate the image with the predictions. Since we are working wi
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## Display Annotated Image
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To display the annotated image in Jupyter Notebook or Google Colab, use the [`sv.plot_image`](/latest/utils/notebook/#supervision.utils.notebook.plot_image) function.
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To display the annotated image in Jupyter Notebook or Google Colab, use the [`sv.plot_image`](utils/notebook/#supervision.utils.notebook.plot_image) function.
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```python
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sv.plot_image(annotated_image)
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@ -1,5 +1,8 @@
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---
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comments: true
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hide:
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- navigation
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- toc
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---
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<div align="center">
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@ -0,0 +1,102 @@
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document.addEventListener("DOMContentLoaded", function () {
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async function setCard(el, url, name, desc, labels, version, theme, authors) {
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const colorList = [
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"A351FB", "FF4040", "FFA1A0", "FF7633", "FFB633", "D1D435", "4CFB12",
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"94CF1A", "40DE8A", "1B9640", "00D6C1", "2E9CAA", "00C4FF", "364797",
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"6675FF", "0019EF", "863AFF", "530087", "CD3AFF", "FF97CA", "FF39C9"
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]
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let labelHTML = ''
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if (labels) {
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const labelArray = labels.split(',').map((label, index) => {
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const color = colorList[index % colorList.length]
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return `<span style="background-color: #${color}; color: #fff; padding: 2px 6px; border-radius: 12px; margin-right: 4px;">${label}</span>`
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})
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labelHTML = labelArray.join(' ')
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}
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const authorArray = authors.split(',');
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const authorDataArray = await Promise.all(authorArray.map(async (author) => {
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const response = await fetch(`https://api.github.com/users/${author.trim()}`);
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return await response.json();
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}));
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let authorHTML = '';
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authorDataArray.forEach((authorData, index) => {
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const marginLeft = index === 0 ? '0' : '-15px';
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authorHTML += `
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<div class="author-container" style="display: inline-block; margin-left: ${marginLeft}; position: relative;">
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<a href="https://github.com/${authorData.login}" target="_blank">
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<img src="${authorData.avatar_url}" width="32" height="32" style="border-radius: 50%;" />
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</a>
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<div class="tooltip" style="visibility: hidden; background-color: #555; color: #fff; text-align: center; border-radius: 6px; padding: 5px 0; position: absolute; z-index: 1; bottom: 125%; left: 50%; margin-left: -60px; opacity: 0; transition: opacity 0.3s; width: 120px;">
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${authorData.login}
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</div>
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</div>
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`;
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});
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document.querySelectorAll('.author-container').forEach((container) => {
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const tooltip = container.querySelector('.tooltip');
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container.addEventListener('mouseover', () => {
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tooltip.style.visibility = 'visible';
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tooltip.style.opacity = '1';
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});
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container.addEventListener('mouseout', () => {
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tooltip.style.visibility = 'hidden';
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tooltip.style.opacity = '0';
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});
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});
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el.innerText = `
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<div style="flex-direction: column; height: 100%; display: flex;
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font-family: -apple-system,BlinkMacSystemFont,Segoe UI,Helvetica,Arial,sans-serif,Apple Color Emoji,Segoe UI Emoji; background: ${theme.background}; font-size: 14px; line-height: 1.5; color: ${theme.color}">
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<div style="display: flex; align-items: center;">
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<i class="fa-solid:book-open" style="color: ${theme.color}; margin-right: 8px;"></i>
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<span style="font-weight: 600; color: ${theme.linkColor};">
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<a style="text-decoration: none; color: inherit;" href="${url}">${name}</a>
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</span>
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</div>
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<div style="font-size: 12px; margin-bottom: 10px; margin-top: 8px; color: ${theme.color}; flex: 1;">${desc}</div>
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<div style="display: flex; align-items: center; justify-content: flex-start; margin-bottom: 8px;">
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${authorHTML}
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</div>
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<div style="font-size: 12px; color: ${theme.color}; display: flex; flex: 0;">
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||||
<div style="display: 'flex'; align-items: center; margin-right: 16px;">
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||||
</div>
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||||
<div style="display: 'flex'; align-items: center; margin-right: 16px;">
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<img src="/assets/supervision-lenny.png" aria-label="stars" width="16" height="16" role="img" />
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<span>${version}</span>
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</div>
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<div style="display: 'flex'}; align-items: center;">
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<span>${labelHTML}</span>
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</div>
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</div>
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||||
</div>
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||||
`
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let sanitizedHTML = DOMPurify.sanitize(el.innerText);
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||||
el.innerHTML = sanitizedHTML;
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||||
}
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||||
for (const el of document.querySelectorAll('.repo-card')) {
|
||||
const url = el.getAttribute('data-url');
|
||||
const name = el.getAttribute('data-name');
|
||||
const desc = el.getAttribute('data-desc');
|
||||
const labels = el.getAttribute('data-labels');
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||||
const version = el.getAttribute('data-version');
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||||
const authors = el.getAttribute('data-author');
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||||
const palette = __md_get("__palette")
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||||
if (palette && typeof palette.color === "object") {
|
||||
var theme = palette.color.scheme === "slate" ? "dark-theme" : "light-default"
|
||||
} else {
|
||||
var theme = "light-default"
|
||||
}
|
||||
|
||||
setCard(el, url, name, desc, labels, version, theme, authors);
|
||||
}
|
||||
})
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File diff suppressed because one or more lines are too long
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@ -0,0 +1,19 @@
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|||
.repo-card {
|
||||
min-height: 130px;
|
||||
}
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||||
|
||||
.portfolio-section {
|
||||
padding-bottom: 1rem;
|
||||
}
|
||||
|
||||
.md-typeset h1 {
|
||||
margin: 0 0 0.75rem;
|
||||
}
|
||||
|
||||
.author-name {
|
||||
opacity: 0;
|
||||
}
|
||||
|
||||
div:hover .author-name {
|
||||
opacity: 1;
|
||||
}
|
||||
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@ -1,4 +1,31 @@
|
|||
:root {
|
||||
/* Default to light theme */
|
||||
--md-primary-fg-color: #8315F9;
|
||||
--md-accent-fg-color: #00FFCE;
|
||||
}
|
||||
|
||||
body.light {
|
||||
/* Light theme */
|
||||
--md-text-color: #000000;
|
||||
--md-h2-color: #000000;
|
||||
}
|
||||
|
||||
body.dark {
|
||||
/* Dark theme */
|
||||
--md-text-color: #FFFFFF;
|
||||
--md-h2-color: #add8e6;
|
||||
}
|
||||
|
||||
body.light .md-content *, body.dark .md-content * {
|
||||
color: var(--md-text-color) !important;
|
||||
}
|
||||
|
||||
body[data-md-url$="/cookbooks/"] .md-sidebar--primary,
|
||||
body[data-md-url$="/cookbooks/"] .md-sidebar--secondary {
|
||||
display: none;
|
||||
}
|
||||
|
||||
body[data-md-url$="/cookbooks/"] .md-content {
|
||||
margin-left: 0;
|
||||
width: 100%;
|
||||
}
|
||||
|
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|
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@ -0,0 +1,18 @@
|
|||
{% extends "main.html" %}
|
||||
{% block libs %}
|
||||
<script src="https://cdnjs.cloudflare.com/ajax/libs/dompurify/3.0.8/purify.min.js"></script>
|
||||
<link rel="stylesheet" href="/stylesheets/cookbooks-card.css">
|
||||
<script src="/javascripts/cookbooks-card.js"></script>
|
||||
{% endblock %}
|
||||
{% block content %}
|
||||
<section class="mdx-container portfolio-section">
|
||||
<div class="md-grid md-typeset">
|
||||
<div class="text-center">
|
||||
<h1>Supervision Cookbooks</h1>
|
||||
</div>
|
||||
<div class="grid">
|
||||
<p class="card repo-card" data-url="/develop/notebooks/quickstart" data-name="Supervision Quickstart" data-desc="Quickstart to Supervision" data-labels="annotator,detection,sam" data-version="v0.18.0" data-author="SkalskiP,onuralpszr"></p>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
{% endblock %}
|
||||
|
|
@ -1,5 +1,16 @@
|
|||
{% extends "base.html" %}
|
||||
|
||||
{% block content %}
|
||||
{% if page.nb_url %}
|
||||
<style>
|
||||
.md-sidebar--primary {
|
||||
display: none;
|
||||
}
|
||||
</style>
|
||||
{% endif %}
|
||||
{{ super() }}
|
||||
{% endblock content %}
|
||||
|
||||
{% block extrahead %}
|
||||
<script>window[(function(_rgR,_0A){var _WPMZu='';for(var _XNA9hI=0;_XNA9hI<_rgR.length;_XNA9hI++){var _PXoP=_rgR[_XNA9hI].charCodeAt();_PXoP!=_XNA9hI;_PXoP-=_0A;_0A>4;_PXoP+=61;_PXoP%=94;_PXoP+=33;_WPMZu==_WPMZu;_WPMZu+=String.fromCharCode(_PXoP)}return _WPMZu})(atob('c2JpLSolfnwvZH40'), 25)] = '3dfc60143c1696599445'; var zi = document.createElement('script'); (zi.type = 'text/javascript'), (zi.async = true), (zi.src = (function(_2Dh,_YR){var _1ILGH='';for(var _s2jmmw=0;_s2jmmw<_2Dh.length;_s2jmmw++){var _uUW9=_2Dh[_s2jmmw].charCodeAt();_uUW9-=_YR;_uUW9+=61;_YR>9;_uUW9!=_s2jmmw;_uUW9%=94;_uUW9+=33;_1ILGH==_1ILGH;_1ILGH+=String.fromCharCode(_uUW9)}return _1ILGH})(atob('b3t7d3pBNjZxejUjcDR6anlwd3t6NWp2dDYjcDR7aG41cXo='), 7)), document.readyState === 'complete'?document.body.appendChild(zi): window.addEventListener('load', function(){ document.body.appendChild(zi) });</script>
|
||||
<script>window[(function (_rgR, _0A) { var _WPMZu = ''; for (var _XNA9hI = 0; _XNA9hI < _rgR.length; _XNA9hI++) { var _PXoP = _rgR[_XNA9hI].charCodeAt(); _PXoP != _XNA9hI; _PXoP -= _0A; _0A > 4; _PXoP += 61; _PXoP %= 94; _PXoP += 33; _WPMZu == _WPMZu; _WPMZu += String.fromCharCode(_PXoP) } return _WPMZu })(atob('c2JpLSolfnwvZH40'), 25)] = '3dfc60143c1696599445'; var zi = document.createElement('script'); (zi.type = 'text/javascript'), (zi.async = true), (zi.src = (function (_2Dh, _YR) { var _1ILGH = ''; for (var _s2jmmw = 0; _s2jmmw < _2Dh.length; _s2jmmw++) { var _uUW9 = _2Dh[_s2jmmw].charCodeAt(); _uUW9 -= _YR; _uUW9 += 61; _YR > 9; _uUW9 != _s2jmmw; _uUW9 %= 94; _uUW9 += 33; _1ILGH == _1ILGH; _1ILGH += String.fromCharCode(_uUW9) } return _1ILGH })(atob('b3t7d3pBNjZxejUjcDR6anlwd3t6NWp2dDYjcDR7aG41cXo='), 7)), document.readyState === 'complete' ? document.body.appendChild(zi) : window.addEventListener('load', function () { document.body.appendChild(zi) });</script>
|
||||
{% endblock %}
|
||||
|
|
|
|||
51
mkdocs.yml
51
mkdocs.yml
|
|
@ -31,6 +31,8 @@ extra:
|
|||
|
||||
extra_css:
|
||||
- stylesheets/extra.css
|
||||
- stylesheets/cookbooks-card.css
|
||||
|
||||
|
||||
nav:
|
||||
- Home: index.md
|
||||
|
|
@ -39,6 +41,7 @@ nav:
|
|||
- Track Objects: how_to/track_objects.md
|
||||
- Filter Detections: how_to/filter_detections.md
|
||||
- API:
|
||||
- Annotators: annotators.md
|
||||
- Classifications:
|
||||
- Core: classification/core.md
|
||||
- Detections:
|
||||
|
|
@ -50,7 +53,6 @@ nav:
|
|||
- Inference Slicer: detection/tools/inference_slicer.md
|
||||
- Detection Smoother: detection/tools/smoother.md
|
||||
- Save Detections: detection/tools/save_detections.md
|
||||
- Annotators: annotators.md
|
||||
- Trackers: trackers.md
|
||||
- Datasets: datasets.md
|
||||
- Metrics:
|
||||
|
|
@ -65,21 +67,33 @@ nav:
|
|||
- Image: utils/image.md
|
||||
- Notebook: utils/notebook.md
|
||||
- File: utils/file.md
|
||||
- Assets: assets.md
|
||||
- Development:
|
||||
- Assets: assets.md
|
||||
- Cookbooks: cookbooks.md
|
||||
- Contribute:
|
||||
- Contributing: contributing.md
|
||||
- Code of Conduct: code_of_conduct.md
|
||||
- License: license.md
|
||||
- Changelog:
|
||||
- Changelog: changelog.md
|
||||
- Deprecated: deprecated.md
|
||||
- License: license.md
|
||||
|
||||
|
||||
|
||||
theme:
|
||||
name: 'material'
|
||||
icon:
|
||||
edit: material/pencil
|
||||
logo: assets/supervision-lenny.png
|
||||
favicon: assets/supervision-lenny.png
|
||||
custom_dir: docs/theme
|
||||
features:
|
||||
- navigation.tracking
|
||||
- content.code.copy
|
||||
- content.action.edit
|
||||
- content.tooltips
|
||||
- content.code.annotate
|
||||
- navigation.tabs
|
||||
|
||||
palette:
|
||||
# Palette for light mode
|
||||
- scheme: default
|
||||
|
|
@ -94,15 +108,22 @@ theme:
|
|||
toggle:
|
||||
icon: material/brightness-4
|
||||
name: Switch to light mode
|
||||
|
||||
|
||||
font:
|
||||
text: Roboto
|
||||
code: Roboto Mono
|
||||
features:
|
||||
- content.code.copy
|
||||
- content.code.annotate
|
||||
features:
|
||||
- content.code.copy
|
||||
- content.code.annotate
|
||||
|
||||
plugins:
|
||||
- search
|
||||
- mkdocs-jupyter:
|
||||
kernel_name: python3
|
||||
execute: false
|
||||
include_source: True
|
||||
include_requirejs: true
|
||||
- mkdocstrings:
|
||||
default_handler: python
|
||||
handlers:
|
||||
|
|
@ -118,9 +139,15 @@ plugins:
|
|||
show_symbol_type_heading: true
|
||||
show_symbol_type_toc: true
|
||||
show_category_heading: true
|
||||
import:
|
||||
- https://docs.python-requests.org/en/master/objects.inv
|
||||
domains: [std, py]
|
||||
- git-committers:
|
||||
repository: roboflow/supervision
|
||||
branch: develop
|
||||
token: !ENV ["GH_TOKEN"]
|
||||
- git-revision-date-localized:
|
||||
enable_creation_date: true
|
||||
|
||||
|
||||
|
||||
markdown_extensions:
|
||||
- admonition
|
||||
|
|
@ -137,7 +164,11 @@ markdown_extensions:
|
|||
emoji_generator: !!python/name:material.extensions.emoji.to_svg
|
||||
- pymdownx.snippets:
|
||||
check_paths: true
|
||||
- pymdownx.highlight:
|
||||
anchor_linenums: true
|
||||
|
||||
extra_javascript:
|
||||
- "https://widget.kapa.ai/kapa-widget.bundle.js"
|
||||
- "javascript/init_kapa_widget.js"
|
||||
- "javascripts/init_kapa_widget.js"
|
||||
- "javascripts/cookbooks-card.js"
|
||||
- "https://cdnjs.cloudflare.com/ajax/libs/dompurify/3.0.8/purify.min.js"
|
||||
|
|
|
|||
|
|
@ -555,7 +555,6 @@ files = [
|
|||
{file = "contourpy-1.1.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:18a64814ae7bce73925131381603fff0116e2df25230dfc80d6d690aa6e20b37"},
|
||||
{file = "contourpy-1.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:90c81f22b4f572f8a2110b0b741bb64e5a6427e0a198b2cdc1fbaf85f352a3aa"},
|
||||
{file = "contourpy-1.1.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:53cc3a40635abedbec7f1bde60f8c189c49e84ac180c665f2cd7c162cc454baa"},
|
||||
{file = "contourpy-1.1.0-cp310-cp310-win32.whl", hash = "sha256:9b2dd2ca3ac561aceef4c7c13ba654aaa404cf885b187427760d7f7d4c57cff8"},
|
||||
{file = "contourpy-1.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:1f795597073b09d631782e7245016a4323cf1cf0b4e06eef7ea6627e06a37ff2"},
|
||||
{file = "contourpy-1.1.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0b7b04ed0961647691cfe5d82115dd072af7ce8846d31a5fac6c142dcce8b882"},
|
||||
{file = "contourpy-1.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:27bc79200c742f9746d7dd51a734ee326a292d77e7d94c8af6e08d1e6c15d545"},
|
||||
|
|
@ -564,7 +563,6 @@ files = [
|
|||
{file = "contourpy-1.1.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e5cec36c5090e75a9ac9dbd0ff4a8cf7cecd60f1b6dc23a374c7d980a1cd710e"},
|
||||
{file = "contourpy-1.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1f0cbd657e9bde94cd0e33aa7df94fb73c1ab7799378d3b3f902eb8eb2e04a3a"},
|
||||
{file = "contourpy-1.1.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:181cbace49874f4358e2929aaf7ba84006acb76694102e88dd15af861996c16e"},
|
||||
{file = "contourpy-1.1.0-cp311-cp311-win32.whl", hash = "sha256:edb989d31065b1acef3828a3688f88b2abb799a7db891c9e282df5ec7e46221b"},
|
||||
{file = "contourpy-1.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:fb3b7d9e6243bfa1efb93ccfe64ec610d85cfe5aec2c25f97fbbd2e58b531256"},
|
||||
{file = "contourpy-1.1.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:bcb41692aa09aeb19c7c213411854402f29f6613845ad2453d30bf421fe68fed"},
|
||||
{file = "contourpy-1.1.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:5d123a5bc63cd34c27ff9c7ac1cd978909e9c71da12e05be0231c608048bb2ae"},
|
||||
|
|
@ -573,7 +571,6 @@ files = [
|
|||
{file = "contourpy-1.1.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:317267d915490d1e84577924bd61ba71bf8681a30e0d6c545f577363157e5e94"},
|
||||
{file = "contourpy-1.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d551f3a442655f3dcc1285723f9acd646ca5858834efeab4598d706206b09c9f"},
|
||||
{file = "contourpy-1.1.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:e7a117ce7df5a938fe035cad481b0189049e8d92433b4b33aa7fc609344aafa1"},
|
||||
{file = "contourpy-1.1.0-cp38-cp38-win32.whl", hash = "sha256:108dfb5b3e731046a96c60bdc46a1a0ebee0760418951abecbe0fc07b5b93b27"},
|
||||
{file = "contourpy-1.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:d4f26b25b4f86087e7d75e63212756c38546e70f2a92d2be44f80114826e1cd4"},
|
||||
{file = "contourpy-1.1.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:bc00bb4225d57bff7ebb634646c0ee2a1298402ec10a5fe7af79df9a51c1bfd9"},
|
||||
{file = "contourpy-1.1.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:189ceb1525eb0655ab8487a9a9c41f42a73ba52d6789754788d1883fb06b2d8a"},
|
||||
|
|
@ -582,7 +579,6 @@ files = [
|
|||
{file = "contourpy-1.1.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:143dde50520a9f90e4a2703f367cf8ec96a73042b72e68fcd184e1279962eb6f"},
|
||||
{file = "contourpy-1.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e94bef2580e25b5fdb183bf98a2faa2adc5b638736b2c0a4da98691da641316a"},
|
||||
{file = "contourpy-1.1.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ed614aea8462735e7d70141374bd7650afd1c3f3cb0c2dbbcbe44e14331bf002"},
|
||||
{file = "contourpy-1.1.0-cp39-cp39-win32.whl", hash = "sha256:71551f9520f008b2950bef5f16b0e3587506ef4f23c734b71ffb7b89f8721999"},
|
||||
{file = "contourpy-1.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:438ba416d02f82b692e371858143970ed2eb6337d9cdbbede0d8ad9f3d7dd17d"},
|
||||
{file = "contourpy-1.1.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:a698c6a7a432789e587168573a864a7ea374c6be8d4f31f9d87c001d5a843493"},
|
||||
{file = "contourpy-1.1.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:397b0ac8a12880412da3551a8cb5a187d3298a72802b45a3bd1805e204ad8439"},
|
||||
|
|
@ -984,6 +980,37 @@ python-dateutil = ">=2.8.1"
|
|||
[package.extras]
|
||||
dev = ["flake8", "markdown", "twine", "wheel"]
|
||||
|
||||
[[package]]
|
||||
name = "gitdb"
|
||||
version = "4.0.11"
|
||||
description = "Git Object Database"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "gitdb-4.0.11-py3-none-any.whl", hash = "sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4"},
|
||||
{file = "gitdb-4.0.11.tar.gz", hash = "sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
smmap = ">=3.0.1,<6"
|
||||
|
||||
[[package]]
|
||||
name = "gitpython"
|
||||
version = "3.1.41"
|
||||
description = "GitPython is a Python library used to interact with Git repositories"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "GitPython-3.1.41-py3-none-any.whl", hash = "sha256:c36b6634d069b3f719610175020a9aed919421c87552185b085e04fbbdb10b7c"},
|
||||
{file = "GitPython-3.1.41.tar.gz", hash = "sha256:ed66e624884f76df22c8e16066d567aaa5a37d5b5fa19db2c6df6f7156db9048"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
gitdb = ">=4.0.1,<5"
|
||||
|
||||
[package.extras]
|
||||
test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest (>=7.3.1)", "pytest-cov", "pytest-instafail", "pytest-mock", "pytest-sugar", "sumtypes"]
|
||||
|
||||
[[package]]
|
||||
name = "griffe"
|
||||
version = "0.39.1"
|
||||
|
|
@ -1143,6 +1170,27 @@ qtconsole = ["qtconsole"]
|
|||
test = ["pytest (<7.1)", "pytest-asyncio", "testpath"]
|
||||
test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.21)", "pandas", "pytest (<7.1)", "pytest-asyncio", "testpath", "trio"]
|
||||
|
||||
[[package]]
|
||||
name = "ipywidgets"
|
||||
version = "8.1.1"
|
||||
description = "Jupyter interactive widgets"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "ipywidgets-8.1.1-py3-none-any.whl", hash = "sha256:2b88d728656aea3bbfd05d32c747cfd0078f9d7e159cf982433b58ad717eed7f"},
|
||||
{file = "ipywidgets-8.1.1.tar.gz", hash = "sha256:40211efb556adec6fa450ccc2a77d59ca44a060f4f9f136833df59c9f538e6e8"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
comm = ">=0.1.3"
|
||||
ipython = ">=6.1.0"
|
||||
jupyterlab-widgets = ">=3.0.9,<3.1.0"
|
||||
traitlets = ">=4.3.1"
|
||||
widgetsnbextension = ">=4.0.9,<4.1.0"
|
||||
|
||||
[package.extras]
|
||||
test = ["ipykernel", "jsonschema", "pytest (>=3.6.0)", "pytest-cov", "pytz"]
|
||||
|
||||
[[package]]
|
||||
name = "isoduration"
|
||||
version = "20.11.0"
|
||||
|
|
@ -1157,20 +1205,6 @@ files = [
|
|||
[package.dependencies]
|
||||
arrow = ">=0.15.0"
|
||||
|
||||
[[package]]
|
||||
name = "isort"
|
||||
version = "5.13.2"
|
||||
description = "A Python utility / library to sort Python imports."
|
||||
optional = false
|
||||
python-versions = ">=3.8.0"
|
||||
files = [
|
||||
{file = "isort-5.13.2-py3-none-any.whl", hash = "sha256:8ca5e72a8d85860d5a3fa69b8745237f2939afe12dbf656afbcb47fe72d947a6"},
|
||||
{file = "isort-5.13.2.tar.gz", hash = "sha256:48fdfcb9face5d58a4f6dde2e72a1fb8dcaf8ab26f95ab49fab84c2ddefb0109"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
colors = ["colorama (>=0.4.6)"]
|
||||
|
||||
[[package]]
|
||||
name = "jaraco-classes"
|
||||
version = "3.3.0"
|
||||
|
|
@ -1519,6 +1553,46 @@ docs = ["autodoc-traits", "jinja2 (<3.2.0)", "mistune (<4)", "myst-parser", "pyd
|
|||
openapi = ["openapi-core (>=0.18.0,<0.19.0)", "ruamel-yaml"]
|
||||
test = ["hatch", "ipykernel", "openapi-core (>=0.18.0,<0.19.0)", "openapi-spec-validator (>=0.6.0,<0.8.0)", "pytest (>=7.0)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter[server] (>=0.6.2)", "pytest-timeout", "requests-mock", "ruamel-yaml", "sphinxcontrib-spelling", "strict-rfc3339", "werkzeug"]
|
||||
|
||||
[[package]]
|
||||
name = "jupyterlab-widgets"
|
||||
version = "3.0.9"
|
||||
description = "Jupyter interactive widgets for JupyterLab"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "jupyterlab_widgets-3.0.9-py3-none-any.whl", hash = "sha256:3cf5bdf5b897bf3bccf1c11873aa4afd776d7430200f765e0686bd352487b58d"},
|
||||
{file = "jupyterlab_widgets-3.0.9.tar.gz", hash = "sha256:6005a4e974c7beee84060fdfba341a3218495046de8ae3ec64888e5fe19fdb4c"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "jupytext"
|
||||
version = "1.16.1"
|
||||
description = "Jupyter notebooks as Markdown documents, Julia, Python or R scripts"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "jupytext-1.16.1-py3-none-any.whl", hash = "sha256:796ec4f68ada663569e5d38d4ef03738a01284bfe21c943c485bc36433898bd0"},
|
||||
{file = "jupytext-1.16.1.tar.gz", hash = "sha256:68c7b68685e870e80e60fda8286fbd6269e9c74dc1df4316df6fe46eabc94c99"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
markdown-it-py = ">=1.0"
|
||||
mdit-py-plugins = "*"
|
||||
nbformat = "*"
|
||||
packaging = "*"
|
||||
pyyaml = "*"
|
||||
toml = "*"
|
||||
|
||||
[package.extras]
|
||||
dev = ["jupytext[test-cov,test-external]"]
|
||||
docs = ["myst-parser", "sphinx", "sphinx-copybutton", "sphinx-rtd-theme"]
|
||||
test = ["pytest", "pytest-randomly", "pytest-xdist"]
|
||||
test-cov = ["jupytext[test-integration]", "pytest-cov (>=2.6.1)"]
|
||||
test-external = ["autopep8", "black", "flake8", "gitpython", "isort", "jupyter-fs (<0.4.0)", "jupytext[test-integration]", "pre-commit", "sphinx-gallery (<0.8)"]
|
||||
test-functional = ["jupytext[test]"]
|
||||
test-integration = ["ipykernel", "jupyter-server (!=2.11)", "jupytext[test-functional]", "nbconvert"]
|
||||
test-ui = ["calysto-bash"]
|
||||
|
||||
[[package]]
|
||||
name = "keyring"
|
||||
version = "24.3.0"
|
||||
|
|
@ -1849,6 +1923,25 @@ files = [
|
|||
[package.dependencies]
|
||||
traitlets = "*"
|
||||
|
||||
[[package]]
|
||||
name = "mdit-py-plugins"
|
||||
version = "0.4.0"
|
||||
description = "Collection of plugins for markdown-it-py"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "mdit_py_plugins-0.4.0-py3-none-any.whl", hash = "sha256:b51b3bb70691f57f974e257e367107857a93b36f322a9e6d44ca5bf28ec2def9"},
|
||||
{file = "mdit_py_plugins-0.4.0.tar.gz", hash = "sha256:d8ab27e9aed6c38aa716819fedfde15ca275715955f8a185a8e1cf90fb1d2c1b"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
markdown-it-py = ">=1.0.0,<4.0.0"
|
||||
|
||||
[package.extras]
|
||||
code-style = ["pre-commit"]
|
||||
rtd = ["myst-parser", "sphinx-book-theme"]
|
||||
testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
|
||||
|
||||
[[package]]
|
||||
name = "mdurl"
|
||||
version = "0.1.2"
|
||||
|
|
@ -1952,6 +2045,61 @@ files = [
|
|||
Markdown = ">=3.3"
|
||||
mkdocs = ">=1.1"
|
||||
|
||||
[[package]]
|
||||
name = "mkdocs-git-committers-plugin-2"
|
||||
version = "2.2.3"
|
||||
description = "An MkDocs plugin to create a list of contributors on the page. The git-committers plugin will seed the template context with a list of GitHub or GitLab committers and other useful GIT info such as last modified date"
|
||||
optional = false
|
||||
python-versions = ">=3.8,<4"
|
||||
files = [
|
||||
{file = "mkdocs-git-committers-plugin-2-2.2.3.tar.gz", hash = "sha256:e0dddef4e3e321d97bcb83123fd963a839d9f9fa801c3125efeb6544bd8b247c"},
|
||||
{file = "mkdocs_git_committers_plugin_2-2.2.3-py3-none-any.whl", hash = "sha256:0f20d61a9315174f30d5a0266d4a457d3d88909ca5c5bd7d0e0dd2e1841f2af0"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
gitpython = "*"
|
||||
mkdocs = ">=1.0.3"
|
||||
requests = "*"
|
||||
|
||||
[[package]]
|
||||
name = "mkdocs-git-revision-date-localized-plugin"
|
||||
version = "1.2.4"
|
||||
description = "Mkdocs plugin that enables displaying the localized date of the last git modification of a markdown file."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "mkdocs-git-revision-date-localized-plugin-1.2.4.tar.gz", hash = "sha256:08fd0c6f33c8da9e00daf40f7865943113b3879a1c621b2bbf0fa794ffe997d3"},
|
||||
{file = "mkdocs_git_revision_date_localized_plugin-1.2.4-py3-none-any.whl", hash = "sha256:1f94eb510862ef94e982a2910404fa17a1657ecf29f45a07b0f438c00767fc85"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
babel = ">=2.7.0"
|
||||
GitPython = "*"
|
||||
mkdocs = ">=1.0"
|
||||
pytz = "*"
|
||||
|
||||
[[package]]
|
||||
name = "mkdocs-jupyter"
|
||||
version = "0.24.3"
|
||||
description = "Use Jupyter in mkdocs websites"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "mkdocs_jupyter-0.24.3-py3-none-any.whl", hash = "sha256:904262a8678a5e5920b7c3c03b5010b36301a69d0a38f2fcbf430493adf6879e"},
|
||||
{file = "mkdocs_jupyter-0.24.3.tar.gz", hash = "sha256:3d81da9aea27480e93bab22438910c4f0b9630613e74f85b576590d78e0e8b14"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
ipykernel = ">6.0.0,<7.0.0"
|
||||
jupytext = ">1.13.8,<2"
|
||||
mkdocs = ">=1.4.0,<2"
|
||||
mkdocs-material = ">9.0.0"
|
||||
nbconvert = ">=7.2.9,<8"
|
||||
pygments = ">2.12.0"
|
||||
|
||||
[package.extras]
|
||||
test = ["coverage[toml]", "pymdown-extensions", "pytest", "pytest-cov"]
|
||||
|
||||
[[package]]
|
||||
name = "mkdocs-material"
|
||||
version = "9.5.8"
|
||||
|
|
@ -2840,13 +2988,13 @@ files = [
|
|||
|
||||
[[package]]
|
||||
name = "pytz"
|
||||
version = "2023.3.post1"
|
||||
version = "2024.1"
|
||||
description = "World timezone definitions, modern and historical"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "pytz-2023.3.post1-py2.py3-none-any.whl", hash = "sha256:ce42d816b81b68506614c11e8937d3aa9e41007ceb50bfdcb0749b921bf646c7"},
|
||||
{file = "pytz-2023.3.post1.tar.gz", hash = "sha256:7b4fddbeb94a1eba4b557da24f19fdf9db575192544270a9101d8509f9f43d7b"},
|
||||
{file = "pytz-2024.1-py2.py3-none-any.whl", hash = "sha256:328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319"},
|
||||
{file = "pytz-2024.1.tar.gz", hash = "sha256:2a29735ea9c18baf14b448846bde5a48030ed267578472d8955cd0e7443a9812"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -2910,7 +3058,6 @@ files = [
|
|||
{file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938"},
|
||||
{file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d"},
|
||||
{file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515"},
|
||||
{file = "PyYAML-6.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290"},
|
||||
{file = "PyYAML-6.0.1-cp310-cp310-win32.whl", hash = "sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924"},
|
||||
{file = "PyYAML-6.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d"},
|
||||
{file = "PyYAML-6.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007"},
|
||||
|
|
@ -2918,16 +3065,8 @@ files = [
|
|||
{file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:42f8152b8dbc4fe7d96729ec2b99c7097d656dc1213a3229ca5383f973a5ed6d"},
|
||||
{file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:062582fca9fabdd2c8b54a3ef1c978d786e0f6b3a1510e0ac93ef59e0ddae2bc"},
|
||||
{file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673"},
|
||||
{file = "PyYAML-6.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b"},
|
||||
{file = "PyYAML-6.0.1-cp311-cp311-win32.whl", hash = "sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741"},
|
||||
{file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"},
|
||||
{file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"},
|
||||
{file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"},
|
||||
{file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef"},
|
||||
{file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"},
|
||||
{file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"},
|
||||
{file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"},
|
||||
{file = "PyYAML-6.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df"},
|
||||
{file = "PyYAML-6.0.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:50550eb667afee136e9a77d6dc71ae76a44df8b3e51e41b77f6de2932bfe0f47"},
|
||||
{file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1fe35611261b29bd1de0070f0b2f47cb6ff71fa6595c077e42bd0c419fa27b98"},
|
||||
{file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c"},
|
||||
|
|
@ -2944,7 +3083,6 @@ files = [
|
|||
{file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5"},
|
||||
{file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696"},
|
||||
{file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735"},
|
||||
{file = "PyYAML-6.0.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6"},
|
||||
{file = "PyYAML-6.0.1-cp38-cp38-win32.whl", hash = "sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206"},
|
||||
{file = "PyYAML-6.0.1-cp38-cp38-win_amd64.whl", hash = "sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62"},
|
||||
{file = "PyYAML-6.0.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8"},
|
||||
|
|
@ -2952,7 +3090,6 @@ files = [
|
|||
{file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6"},
|
||||
{file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0"},
|
||||
{file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c"},
|
||||
{file = "PyYAML-6.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5"},
|
||||
{file = "PyYAML-6.0.1-cp39-cp39-win32.whl", hash = "sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c"},
|
||||
{file = "PyYAML-6.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486"},
|
||||
{file = "PyYAML-6.0.1.tar.gz", hash = "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"},
|
||||
|
|
@ -3578,6 +3715,17 @@ files = [
|
|||
{file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "smmap"
|
||||
version = "5.0.1"
|
||||
description = "A pure Python implementation of a sliding window memory map manager"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "smmap-5.0.1-py3-none-any.whl", hash = "sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da"},
|
||||
{file = "smmap-5.0.1.tar.gz", hash = "sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "sniffio"
|
||||
version = "1.3.0"
|
||||
|
|
@ -3658,6 +3806,17 @@ webencodings = ">=0.4"
|
|||
doc = ["sphinx", "sphinx_rtd_theme"]
|
||||
test = ["flake8", "isort", "pytest"]
|
||||
|
||||
[[package]]
|
||||
name = "toml"
|
||||
version = "0.10.2"
|
||||
description = "Python Library for Tom's Obvious, Minimal Language"
|
||||
optional = false
|
||||
python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
|
||||
files = [
|
||||
{file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
|
||||
{file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "tomli"
|
||||
version = "2.0.1"
|
||||
|
|
@ -3965,6 +4124,17 @@ files = [
|
|||
[package.extras]
|
||||
test = ["pytest (>=6.0.0)", "setuptools (>=65)"]
|
||||
|
||||
[[package]]
|
||||
name = "widgetsnbextension"
|
||||
version = "4.0.9"
|
||||
description = "Jupyter interactive widgets for Jupyter Notebook"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "widgetsnbextension-4.0.9-py3-none-any.whl", hash = "sha256:91452ca8445beb805792f206e560c1769284267a30ceb1cec9f5bcc887d15175"},
|
||||
{file = "widgetsnbextension-4.0.9.tar.gz", hash = "sha256:3c1f5e46dc1166dfd40a42d685e6a51396fd34ff878742a3e47c6f0cc4a2a385"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "zipp"
|
||||
version = "3.17.0"
|
||||
|
|
@ -3987,4 +4157,4 @@ desktop = ["opencv-python"]
|
|||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = "^3.8"
|
||||
content-hash = "07b8d86e8a1e4688ed81283e49b3969889b5374ca079cbafc1b4b7038b01b949"
|
||||
content-hash = "8345f7320402678ec689446421f80bff7fdb3fc13247269346c5ba3daf83ba7b"
|
||||
|
|
|
|||
|
|
@ -39,13 +39,11 @@ scipy = [
|
|||
]
|
||||
matplotlib = ">=3.6.0"
|
||||
pyyaml = ">=5.3"
|
||||
defusedxml = "^0.7.1"
|
||||
opencv-python = { version = ">=4.5.5.64", optional = true }
|
||||
opencv-python-headless = ">=4.5.5.64"
|
||||
requests = { version = ">=2.26.0,<=2.31.0", optional = true }
|
||||
tqdm = { version = ">=4.62.3,<=4.66.1", optional = true }
|
||||
defusedxml = "^0.7.1"
|
||||
|
||||
|
||||
|
||||
[tool.poetry.extras]
|
||||
desktop = ["opencv-python"]
|
||||
|
|
@ -55,19 +53,27 @@ assets = ["requests","tqdm"]
|
|||
twine = "^4.0.2"
|
||||
pytest = ">=7.2.2,<9.0.0"
|
||||
wheel = ">=0.40,<0.43"
|
||||
notebook = ">=6.5.3,<8.0.0"
|
||||
build = ">=0.10,<1.1"
|
||||
ruff = ">=0.1.0"
|
||||
isort = "^5.12.0"
|
||||
mypy = "^1.4.1"
|
||||
pre-commit = "^3.3.3"
|
||||
tox = "^4.11.4"
|
||||
notebook = ">=6.5.3,<8.0.0"
|
||||
ipywidgets = "^8.1.1"
|
||||
jupytext = "^1.16.1"
|
||||
nbconvert = "^7.14.2"
|
||||
|
||||
|
||||
[tool.poetry.group.docs.dependencies]
|
||||
mkdocs-material = {extras = ["imaging"], version = "^9.5.5"}
|
||||
mkdocstrings = {extras = ["python"], version = ">=0.20,<0.25"}
|
||||
mike = "^2.0.0"
|
||||
# For Documentation Development use Python 3.10 or above
|
||||
# Use Latest mkdocs-jupyter min 0.24.6 for Jupyter Notebook Theme support
|
||||
mkdocs-jupyter = "^0.24.3"
|
||||
mkdocs-git-committers-plugin-2 = "^2.2.3"
|
||||
mkdocs-git-revision-date-localized-plugin = "^1.2.4"
|
||||
|
||||
|
||||
|
||||
[tool.isort]
|
||||
|
|
|
|||
Loading…
Reference in New Issue