xiaoxue_admin
/
supervision
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Merge branch 'develop' into feature/annotators-accept-PIL-images

This commit is contained in:
Linas Kondrackis 2024-02-26 21:01:16 +02:00 committed by GitHub
parent fefd3386c1 e5dfc4c221
commit 4ee56be8a0
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
20 changed files with 1514 additions and 293 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
.pre-commit-config.yaml
View File

@ -46,7 +46,7 @@ repos:
- repo: https://github.com/astral-sh/ruff-pre-commit
rev: v0.2.0
rev: v0.2.2
hooks:
- id: ruff
args: [--fix, --exit-non-zero-on-fix]

14
CONTRIBUTING.md
View File

@ -112,6 +112,20 @@ To run the documentation, install the project requirements with `poetry install
You can learn more about mkdocs on the [mkdocs website](https://www.mkdocs.org/).
## 🧑‍🍳 cookbooks
We are always looking for new examples and cookbooks to add to the `supervision`
documentation. If you have a use case that you think would be helpful to others, please
submit a PR with your example. Here are some guidelines for submitting a new example:
- Create a new notebook in the [`docs/nodebooks`](https://github.com/roboflow/supervision/tree/develop/docs/notebooks) folder.
- Add a link to the new notebook in [`docs/theme/cookbooks.html`](https://github.com/roboflow/supervision/blob/develop/docs/theme/cookbooks.html). Make sure to add the path to the new notebook, as well as a title, labels, author and supervision version.
- Use the [Count Objects Crossing the Line](https://supervision.roboflow.com/develop/notebooks/count-objects-crossing-the-line/) example as a template for your new example.
- Freeze the version of `supervision` you are using.
- Place an appropriate Open in Colab button at the top of the notebook. You can find an example of such a button in the aforementioned `Count Objects Crossing the Line` cookbook.
- Notebook should be self-contained. If you rely on external data ( videos, images, etc.) or libraries, include download and installation commands in the notebook.
- Annotate the code with appropriate comments, including links to the documentation describing each of the tools you have used.
## 🧪 tests
[`pytests`](https://docs.pytest.org/en/7.1.x/) is used to run our tests.

12
docs/detection/tools/line_zone.md
View File

@ -2,6 +2,14 @@
comments: true
---
# LineZone
<div class="md-typeset">
<h2>LineZone</h2>
</div>
:::supervision.detection.line_counter.LineZone
:::supervision.detection.line_zone.LineZone
<div class="md-typeset">
<h2>LineZoneAnnotator</h2>
</div>
:::supervision.detection.line_zone.LineZoneAnnotator

4
docs/detection/tools/polygon_zone.md
View File

@ -2,7 +2,9 @@
comments: true
---
# PolygonZone
<div class="md-typeset">
<h2>PolygonZone</h2>
</div>
:::supervision.detection.tools.polygon_zone.PolygonZone

1
docs/detection/tools/smoother.md
View File

@ -1,6 +1,5 @@
---
comments: true
status: new
---
# Detection Smoother

21
docs/index.md
View File

@ -1,19 +1,20 @@
---
template: index.html
comments: true
hide:
- navigation
- toc
---
<div align="center">
<p>
<a align="center" href="" target="_blank">
<img
width="850"
src="https://media.roboflow.com/open-source/supervision/rf-supervision-banner.png?updatedAt=1678995927529"
>
</a>
</p>
<div class="md-typeset">
<h1></h1>
</div>
<div align="center" id="logo">
<a align="center" href="" target="_blank">
<img width="850"
src="https://media.roboflow.com/open-source/supervision/rf-supervision-banner.png?updatedAt=1678995927529">
</a>
</div>
## 👋 Hello
@ -45,7 +46,7 @@ You can install `supervision` with pip in a
If you require the full version of `supervision` with GUI support you can install the desktop version. This version includes the GUI components of OpenCV, allowing you to display images and videos on the screen.
```bash
pip install supervision[desktop]
pip install "supervision[desktop]"
```
!!! example "git clone (for development)"

2
docs/javascripts/cookbooks-card.js
View File

@ -55,7 +55,7 @@ document.addEventListener("DOMContentLoaded", function () {
let authorAvatarsHTML = authorDataArray.map((authorData, index) => {
const marginLeft = index === 0 ? '0' : '-10px';
const zIndex = 100 - index;
const zIndex = 4 - index;
return `
<div
class="author-container"

394
docs/notebooks/count-objects-crossing-the-line.ipynb vendored
View File

File diff suppressed because one or more lines are too long

2
docs/notebooks/object-tracking.ipynb vendored
View File

@ -8,7 +8,7 @@
"\n",
"---\n",
"\n",
"[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/roboflow/supervision/blob/main/docs/notebooks/object-tracking.ipynb)\n",
"[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/roboflow/supervision/blob/develop/docs/notebooks/object-tracking.ipynb)\n",
"\n",
"In some cases, it's important for us to track objects across multiple frames of a video. For example, we may need to figure out the direction a vehicle is moving, or count objects in a frame. Some Supervision [Annotators](https://supervision.roboflow.com/latest/annotators/) and Tools like [LineZone](https://supervision.roboflow.com/latest/detection/tools/line_zone/) require tracking to be setup. In this cookbook, we'll cover how to get a tracker up and running for use in your computer vision applications.\n",
"\n",

894
docs/notebooks/zero-shot-object-detection-with-yolo-world.ipynb vendored Normal file
View File

File diff suppressed because one or more lines are too long

3
docs/theme/cookbooks.html vendored
View File

@ -12,7 +12,8 @@
</div>
<div class="custom-grid">
<p class="card repo-card" data-url="/develop/notebooks/quickstart" data-name="Supervision Quickstart" data-labels="ANNOTATOR,DETECTION,SAM" data-version="v0.18.0" data-author="SkalskiP,onuralpszr"></p>
<p class="card repo-card" data-url="/develop/notebooks/count-objects-crossing-the-line" data-name="Count Objects Crossing the Line" data-labels="ANNOTATORS,LINE ZONE,YOLOv8,TRACKING" data-version="v0.18.0" data-author="SkalskiP"></p>
<p class="card repo-card" data-url="/develop/notebooks/count-objects-crossing-the-line" data-name="Count Objects Crossing the Line" data-labels="ANNOTATORS,LINE ZONE,TRACKING" data-version="v0.18.0" data-author="SkalskiP"></p>
<p class="card repo-card" data-url="/develop/notebooks/zero-shot-object-detection-with-yolo-world" data-name="Zero-Shot Object Detection with YOLO-World" data-labels="ANNOTATORS,DETECTION,INFERENCE" data-version="v0.19.0" data-author="SkalskiP"></p>
<p class="card repo-card" data-url="/develop/notebooks/download-supervision-assets" data-name="Downloading Supervision Assets" data-labels="ASSETS" data-version="v0.18.0" data-author="nickherrig"></p>
<p class="card repo-card" data-url="/develop/notebooks/annotate-video-with-detections" data-name="Annotate Video with Detections" data-labels="INFERENCE,YOLOV8" data-version="v0.18.0" data-author="nickherrig"></p>
<p class="card repo-card" data-url="/develop/notebooks/object-tracking" data-name="Object Tracking" data-labels="TRACKING, ANNOTATOR" data-version="v0.18.0" data-author="nickherrig"></p>

15
docs/theme/index.html vendored Normal file
View File

@ -0,0 +1,15 @@
{% extends "main.html" %}
{% block content %}
{{ super() }}
<style>
.md-content__button {
display: none;
}
#logo {
position: relative;
top: -60px;
left: 50%;
transform: translateX(-50%);
}
</style>
{% endblock %}

324
poetry.lock generated
View File

@ -698,44 +698,44 @@ test-no-images = ["pytest", "pytest-cov", "wurlitzer"]
[[package]]
name = "cryptography"
version = "42.0.0"
version = "42.0.4"
description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
category = "dev"
optional = false
python-versions = ">=3.7"
files = [
{file = "cryptography-42.0.0-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:c640b0ef54138fde761ec99a6c7dc4ce05e80420262c20fa239e694ca371d434"},
{file = "cryptography-42.0.0-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:678cfa0d1e72ef41d48993a7be75a76b0725d29b820ff3cfd606a5b2b33fda01"},
{file = "cryptography-42.0.0-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:146e971e92a6dd042214b537a726c9750496128453146ab0ee8971a0299dc9bd"},
{file = "cryptography-42.0.0-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:87086eae86a700307b544625e3ba11cc600c3c0ef8ab97b0fda0705d6db3d4e3"},
{file = "cryptography-42.0.0-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:0a68bfcf57a6887818307600c3c0ebc3f62fbb6ccad2240aa21887cda1f8df1b"},
{file = "cryptography-42.0.0-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:5a217bca51f3b91971400890905a9323ad805838ca3fa1e202a01844f485ee87"},
{file = "cryptography-42.0.0-cp37-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:ca20550bb590db16223eb9ccc5852335b48b8f597e2f6f0878bbfd9e7314eb17"},
{file = "cryptography-42.0.0-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:33588310b5c886dfb87dba5f013b8d27df7ffd31dc753775342a1e5ab139e59d"},
{file = "cryptography-42.0.0-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:9515ea7f596c8092fdc9902627e51b23a75daa2c7815ed5aa8cf4f07469212ec"},
{file = "cryptography-42.0.0-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:35cf6ed4c38f054478a9df14f03c1169bb14bd98f0b1705751079b25e1cb58bc"},
{file = "cryptography-42.0.0-cp37-abi3-win32.whl", hash = "sha256:8814722cffcfd1fbd91edd9f3451b88a8f26a5fd41b28c1c9193949d1c689dc4"},
{file = "cryptography-42.0.0-cp37-abi3-win_amd64.whl", hash = "sha256:a2a8d873667e4fd2f34aedab02ba500b824692c6542e017075a2efc38f60a4c0"},
{file = "cryptography-42.0.0-cp39-abi3-macosx_10_12_universal2.whl", hash = "sha256:8fedec73d590fd30c4e3f0d0f4bc961aeca8390c72f3eaa1a0874d180e868ddf"},
{file = "cryptography-42.0.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:be41b0c7366e5549265adf2145135dca107718fa44b6e418dc7499cfff6b4689"},
{file = "cryptography-42.0.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ca482ea80626048975360c8e62be3ceb0f11803180b73163acd24bf014133a0"},
{file = "cryptography-42.0.0-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:c58115384bdcfe9c7f644c72f10f6f42bed7cf59f7b52fe1bf7ae0a622b3a139"},
{file = "cryptography-42.0.0-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:56ce0c106d5c3fec1038c3cca3d55ac320a5be1b44bf15116732d0bc716979a2"},
{file = "cryptography-42.0.0-cp39-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:324721d93b998cb7367f1e6897370644751e5580ff9b370c0a50dc60a2003513"},
{file = "cryptography-42.0.0-cp39-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:d97aae66b7de41cdf5b12087b5509e4e9805ed6f562406dfcf60e8481a9a28f8"},
{file = "cryptography-42.0.0-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:85f759ed59ffd1d0baad296e72780aa62ff8a71f94dc1ab340386a1207d0ea81"},
{file = "cryptography-42.0.0-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:206aaf42e031b93f86ad60f9f5d9da1b09164f25488238ac1dc488334eb5e221"},
{file = "cryptography-42.0.0-cp39-abi3-win32.whl", hash = "sha256:74f18a4c8ca04134d2052a140322002fef535c99cdbc2a6afc18a8024d5c9d5b"},
{file = "cryptography-42.0.0-cp39-abi3-win_amd64.whl", hash = "sha256:14e4b909373bc5bf1095311fa0f7fcabf2d1a160ca13f1e9e467be1ac4cbdf94"},
{file = "cryptography-42.0.0-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:3005166a39b70c8b94455fdbe78d87a444da31ff70de3331cdec2c568cf25b7e"},
{file = "cryptography-42.0.0-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:be14b31eb3a293fc6e6aa2807c8a3224c71426f7c4e3639ccf1a2f3ffd6df8c3"},
{file = "cryptography-42.0.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:bd7cf7a8d9f34cc67220f1195884151426ce616fdc8285df9054bfa10135925f"},
{file = "cryptography-42.0.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:c310767268d88803b653fffe6d6f2f17bb9d49ffceb8d70aed50ad45ea49ab08"},
{file = "cryptography-42.0.0-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:bdce70e562c69bb089523e75ef1d9625b7417c6297a76ac27b1b8b1eb51b7d0f"},
{file = "cryptography-42.0.0-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:e9326ca78111e4c645f7e49cbce4ed2f3f85e17b61a563328c85a5208cf34440"},
{file = "cryptography-42.0.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:69fd009a325cad6fbfd5b04c711a4da563c6c4854fc4c9544bff3088387c77c0"},
{file = "cryptography-42.0.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:988b738f56c665366b1e4bfd9045c3efae89ee366ca3839cd5af53eaa1401bce"},
{file = "cryptography-42.0.0.tar.gz", hash = "sha256:6cf9b76d6e93c62114bd19485e5cb003115c134cf9ce91f8ac924c44f8c8c3f4"},
{file = "cryptography-42.0.4-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:ffc73996c4fca3d2b6c1c8c12bfd3ad00def8621da24f547626bf06441400449"},
{file = "cryptography-42.0.4-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:db4b65b02f59035037fde0998974d84244a64c3265bdef32a827ab9b63d61b18"},
{file = "cryptography-42.0.4-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dad9c385ba8ee025bb0d856714f71d7840020fe176ae0229de618f14dae7a6e2"},
{file = "cryptography-42.0.4-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:69b22ab6506a3fe483d67d1ed878e1602bdd5912a134e6202c1ec672233241c1"},
{file = "cryptography-42.0.4-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:e09469a2cec88fb7b078e16d4adec594414397e8879a4341c6ace96013463d5b"},
{file = "cryptography-42.0.4-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:3e970a2119507d0b104f0a8e281521ad28fc26f2820687b3436b8c9a5fcf20d1"},
{file = "cryptography-42.0.4-cp37-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:e53dc41cda40b248ebc40b83b31516487f7db95ab8ceac1f042626bc43a2f992"},
{file = "cryptography-42.0.4-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:c3a5cbc620e1e17009f30dd34cb0d85c987afd21c41a74352d1719be33380885"},
{file = "cryptography-42.0.4-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:6bfadd884e7280df24d26f2186e4e07556a05d37393b0f220a840b083dc6a824"},
{file = "cryptography-42.0.4-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:01911714117642a3f1792c7f376db572aadadbafcd8d75bb527166009c9f1d1b"},
{file = "cryptography-42.0.4-cp37-abi3-win32.whl", hash = "sha256:fb0cef872d8193e487fc6bdb08559c3aa41b659a7d9be48b2e10747f47863925"},
{file = "cryptography-42.0.4-cp37-abi3-win_amd64.whl", hash = "sha256:c1f25b252d2c87088abc8bbc4f1ecbf7c919e05508a7e8628e6875c40bc70923"},
{file = "cryptography-42.0.4-cp39-abi3-macosx_10_12_universal2.whl", hash = "sha256:15a1fb843c48b4a604663fa30af60818cd28f895572386e5f9b8a665874c26e7"},
{file = "cryptography-42.0.4-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a1327f280c824ff7885bdeef8578f74690e9079267c1c8bd7dc5cc5aa065ae52"},
{file = "cryptography-42.0.4-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6ffb03d419edcab93b4b19c22ee80c007fb2d708429cecebf1dd3258956a563a"},
{file = "cryptography-42.0.4-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:1df6fcbf60560d2113b5ed90f072dc0b108d64750d4cbd46a21ec882c7aefce9"},
{file = "cryptography-42.0.4-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:44a64043f743485925d3bcac548d05df0f9bb445c5fcca6681889c7c3ab12764"},
{file = "cryptography-42.0.4-cp39-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:3c6048f217533d89f2f8f4f0fe3044bf0b2090453b7b73d0b77db47b80af8dff"},
{file = "cryptography-42.0.4-cp39-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:6d0fbe73728c44ca3a241eff9aefe6496ab2656d6e7a4ea2459865f2e8613257"},
{file = "cryptography-42.0.4-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:887623fe0d70f48ab3f5e4dbf234986b1329a64c066d719432d0698522749929"},
{file = "cryptography-42.0.4-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:ce8613beaffc7c14f091497346ef117c1798c202b01153a8cc7b8e2ebaaf41c0"},
{file = "cryptography-42.0.4-cp39-abi3-win32.whl", hash = "sha256:810bcf151caefc03e51a3d61e53335cd5c7316c0a105cc695f0959f2c638b129"},
{file = "cryptography-42.0.4-cp39-abi3-win_amd64.whl", hash = "sha256:a0298bdc6e98ca21382afe914c642620370ce0470a01e1bef6dd9b5354c36854"},
{file = "cryptography-42.0.4-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:5f8907fcf57392cd917892ae83708761c6ff3c37a8e835d7246ff0ad251d9298"},
{file = "cryptography-42.0.4-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:12d341bd42cdb7d4937b0cabbdf2a94f949413ac4504904d0cdbdce4a22cbf88"},
{file = "cryptography-42.0.4-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:1cdcdbd117681c88d717437ada72bdd5be9de117f96e3f4d50dab3f59fd9ab20"},
{file = "cryptography-42.0.4-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:0e89f7b84f421c56e7ff69f11c441ebda73b8a8e6488d322ef71746224c20fce"},
{file = "cryptography-42.0.4-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:f1e85a178384bf19e36779d91ff35c7617c885da487d689b05c1366f9933ad74"},
{file = "cryptography-42.0.4-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:d2a27aca5597c8a71abbe10209184e1a8e91c1fd470b5070a2ea60cafec35bcd"},
{file = "cryptography-42.0.4-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:4e36685cb634af55e0677d435d425043967ac2f3790ec652b2b88ad03b85c27b"},
{file = "cryptography-42.0.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:f47be41843200f7faec0683ad751e5ef11b9a56a220d57f300376cd8aba81660"},
{file = "cryptography-42.0.4.tar.gz", hash = "sha256:831a4b37accef30cccd34fcb916a5d7b5be3cbbe27268a02832c3e450aea39cb"},
]
[package.dependencies]
@ -1069,6 +1069,62 @@ files = [
[package.dependencies]
colorama = ">=0.4"
[[package]]
name = "h11"
version = "0.14.0"
description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
optional = false
python-versions = ">=3.7"
files = [
{file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
{file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
]
[[package]]
name = "httpcore"
version = "1.0.2"
description = "A minimal low-level HTTP client."
optional = false
python-versions = ">=3.8"
files = [
{file = "httpcore-1.0.2-py3-none-any.whl", hash = "sha256:096cc05bca73b8e459a1fc3dcf585148f63e534eae4339559c9b8a8d6399acc7"},
{file = "httpcore-1.0.2.tar.gz", hash = "sha256:9fc092e4799b26174648e54b74ed5f683132a464e95643b226e00c2ed2fa6535"},
]
[package.dependencies]
certifi = "*"
h11 = ">=0.13,<0.15"
[package.extras]
asyncio = ["anyio (>=4.0,<5.0)"]
http2 = ["h2 (>=3,<5)"]
socks = ["socksio (==1.*)"]
trio = ["trio (>=0.22.0,<0.23.0)"]
[[package]]
name = "httpx"
version = "0.26.0"
description = "The next generation HTTP client."
optional = false
python-versions = ">=3.8"
files = [
{file = "httpx-0.26.0-py3-none-any.whl", hash = "sha256:8915f5a3627c4d47b73e8202457cb28f1266982d1159bd5779d86a80c0eab1cd"},
{file = "httpx-0.26.0.tar.gz", hash = "sha256:451b55c30d5185ea6b23c2c793abf9bb237d2a7dfb901ced6ff69ad37ec1dfaf"},
]
[package.dependencies]
anyio = "*"
certifi = "*"
httpcore = "==1.*"
idna = "*"
sniffio = "*"
[package.extras]
brotli = ["brotli", "brotlicffi"]
cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
http2 = ["h2 (>=3,<5)"]
socks = ["socksio (==1.*)"]
[[package]]
name = "identify"
version = "2.5.33"
@ -1551,18 +1607,19 @@ test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (>
[[package]]
name = "jupyterlab"
version = "4.0.11"
version = "4.1.1"
description = "JupyterLab computational environment"
category = "dev"
optional = false
python-versions = ">=3.8"
files = [
{file = "jupyterlab-4.0.11-py3-none-any.whl", hash = "sha256:536bf0e78723153a5016ca7efb88ed0ecd7070d3f1555d5b0e2770658f900a3c"},
{file = "jupyterlab-4.0.11.tar.gz", hash = "sha256:d1aec24712566bc25a36229788242778e498ca4088028e2f9aa156b8b7fdc8fc"},
{file = "jupyterlab-4.1.1-py3-none-any.whl", hash = "sha256:fa3e8c18b804eac04e51ceebd9dd3dd396e08106816f0d09cc426799d7087632"},
{file = "jupyterlab-4.1.1.tar.gz", hash = "sha256:8acc9f561729d8f32c14c294c397917cddfeeb13a5d46f811979b71b4911a9fd"},
]
[package.dependencies]
async-lru = ">=1.0.0"
httpx = ">=0.25.0"
importlib-metadata = {version = ">=4.8.3", markers = "python_version < \"3.10\""}
importlib-resources = {version = ">=1.4", markers = "python_version < \"3.9\""}
ipykernel = "*"
@ -1578,9 +1635,9 @@ tornado = ">=6.2.0"
traitlets = "*"
[package.extras]
dev = ["build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.1.6)"]
docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-tornasync", "sphinx (>=1.8,<7.2.0)", "sphinx-copybutton"]
docs-screenshots = ["altair (==5.0.1)", "ipython (==8.14.0)", "ipywidgets (==8.0.6)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.0.post0)", "matplotlib (==3.7.1)", "nbconvert (>=7.0.0)", "pandas (==2.0.2)", "scipy (==1.10.1)", "vega-datasets (==0.9.0)"]
dev = ["build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.2.0)"]
docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-jupyter", "sphinx (>=1.8,<7.3.0)", "sphinx-copybutton"]
docs-screenshots = ["altair (==5.2.0)", "ipython (==8.16.1)", "ipywidgets (==8.1.1)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.0.post6)", "matplotlib (==3.8.2)", "nbconvert (>=7.0.0)", "pandas (==2.2.0)", "scipy (==1.12.0)", "vega-datasets (==0.9.0)"]
test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "pytest-timeout", "pytest-tornasync", "requests", "requests-cache", "virtualenv"]
[[package]]
@ -1919,59 +1976,59 @@ files = [
[[package]]
name = "matplotlib"
version = "3.7.4"
version = "3.7.5"
description = "Python plotting package"
category = "main"
optional = false
python-versions = ">=3.8"
files = [
{file = "matplotlib-3.7.4-cp310-cp310-macosx_10_12_universal2.whl", hash = "sha256:b71079239bd866bf56df023e5146de159cb0c7294e508830901f4d79e2d89385"},
{file = "matplotlib-3.7.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:bf91a42f6274a64cb41189120b620c02e574535ff6671fa836cade7701b06fbd"},
{file = "matplotlib-3.7.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f757e8b42841d6add0cb69b42497667f0d25a404dcd50bd923ec9904e38414c4"},
{file = "matplotlib-3.7.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e4dfee00aa4bd291e08bb9461831c26ce0da85ca9781bb8794f2025c6e925281"},
{file = "matplotlib-3.7.4-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3640f33632beb3993b698b1be9d1c262b742761d6101f3c27b87b2185d25c875"},
{file = "matplotlib-3.7.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ff539c4a17ecdf076ed808ee271ffae4a30dcb7e157b99ccae2c837262c07db6"},
{file = "matplotlib-3.7.4-cp310-cp310-win32.whl", hash = "sha256:24b8f28af3e766195c09b780b15aa9f6710192b415ae7866b9c03dee7ec86370"},
{file = "matplotlib-3.7.4-cp310-cp310-win_amd64.whl", hash = "sha256:3fa193286712c3b6c3cfa5fe8a6bb563f8c52cc750006c782296e0807ce5e799"},
{file = "matplotlib-3.7.4-cp311-cp311-macosx_10_12_universal2.whl", hash = "sha256:b167f54cb4654b210c9624ec7b54e2b3b8de68c93a14668937e7e53df60770ec"},
{file = "matplotlib-3.7.4-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:7dfe6821f1944cb35603ff22e21510941bbcce7ccf96095beffaac890d39ce77"},
{file = "matplotlib-3.7.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:3c557d9165320dff3c5f2bb99bfa0b6813d3e626423ff71c40d6bc23b83c3339"},
{file = "matplotlib-3.7.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:08372696b3bb45c563472a552a705bfa0942f0a8ffe084db8a4e8f9153fbdf9d"},
{file = "matplotlib-3.7.4-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:81e1a7ac818000e8ac3ca696c3fdc501bc2d3adc89005e7b4e22ee5e9d51de98"},
{file = "matplotlib-3.7.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:390920a3949906bc4b0216198d378f2a640c36c622e3584dd0c79a7c59ae9f50"},
{file = "matplotlib-3.7.4-cp311-cp311-win32.whl", hash = "sha256:62e094d8da26294634da9e7f1856beee3978752b1b530c8e1763d2faed60cc10"},
{file = "matplotlib-3.7.4-cp311-cp311-win_amd64.whl", hash = "sha256:f8fc2df756105784e650605e024d36dc2d048d68e5c1b26df97ee25d1bd41f9f"},
{file = "matplotlib-3.7.4-cp312-cp312-macosx_10_12_universal2.whl", hash = "sha256:568574756127791903604e315c11aef9f255151e4cfe20ec603a70f9dda8e259"},
{file = "matplotlib-3.7.4-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:7d479aac338195e2199a8cfc03c4f2f55914e6a120177edae79e0340a6406457"},
{file = "matplotlib-3.7.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:32183d4be84189a4c52b4b8861434d427d9118db2cec32986f98ed6c02dcfbb6"},
{file = "matplotlib-3.7.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0037d066cca1f4bda626c507cddeb6f7da8283bc6a214da2db13ff2162933c52"},
{file = "matplotlib-3.7.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:44856632ebce88abd8efdc0a0dceec600418dcac06b72ae77af0019d260aa243"},
{file = "matplotlib-3.7.4-cp312-cp312-win_amd64.whl", hash = "sha256:632fc938c22117d4241411191cfb88ac264a4c0a9ac702244641ddf30f0d739c"},
{file = "matplotlib-3.7.4-cp38-cp38-macosx_10_12_universal2.whl", hash = "sha256:ce163be048613b9d1962273708cc97e09ca05d37312e670d166cf332b80bbaff"},
{file = "matplotlib-3.7.4-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:e680f49bb8052ba3b2698e370155d2b4afb49f9af1cc611a26579d5981e2852a"},
{file = "matplotlib-3.7.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:0604880e4327114054199108b7390f987f4f40ee5ce728985836889e11a780ba"},
{file = "matplotlib-3.7.4-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:1e6abcde6fc52475f9d6a12b9f1792aee171ce7818ef6df5d61cb0b82816e6e8"},
{file = "matplotlib-3.7.4-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:f59a70e2ec3212033ef6633ed07682da03f5249379722512a3a2a26a7d9a738e"},
{file = "matplotlib-3.7.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7a9981b2a2dd9da06eca4ab5855d09b54b8ce7377c3e0e3957767b83219d652d"},
{file = "matplotlib-3.7.4-cp38-cp38-win32.whl", hash = "sha256:83859ac26839660ecd164ee8311272074250b915ac300f9b2eccc84410f8953b"},
{file = "matplotlib-3.7.4-cp38-cp38-win_amd64.whl", hash = "sha256:7a7709796ac59fe8debde68272388be6ed449c8971362eb5b60d280eac8dadde"},
{file = "matplotlib-3.7.4-cp39-cp39-macosx_10_12_universal2.whl", hash = "sha256:b1d70bc1ea1bf110bec64f4578de3e14947909a8887df4c1fd44492eca487955"},
{file = "matplotlib-3.7.4-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:c83f49e795a5de6c168876eea723f5b88355202f9603c55977f5356213aa8280"},
{file = "matplotlib-3.7.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:5c9133f230945fe10652eb33e43642e933896194ef6a4f8d5e79bb722bdb2000"},
{file = "matplotlib-3.7.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:798ff59022eeb276380ce9a73ba35d13c3d1499ab9b73d194fd07f1b0a41c304"},
{file = "matplotlib-3.7.4-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1707b20b25e90538c2ce8d4409e30f0ef1df4017cc65ad0439633492a973635b"},
{file = "matplotlib-3.7.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8e6227ca8492baeef873cdd8e169a318efb5c3a25ce94e69727e7f964995b0b1"},
{file = "matplotlib-3.7.4-cp39-cp39-win32.whl", hash = "sha256:5661c8639aded7d1bbf781373a359011cb1dd09199dee49043e9e68dd16f07ba"},
{file = "matplotlib-3.7.4-cp39-cp39-win_amd64.whl", hash = "sha256:55eec941a4743f0bd3e5b8ee180e36b7ea8e62f867bf2613937c9f01b9ac06a2"},
{file = "matplotlib-3.7.4-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:ab16868714e5cc90ec8f7ff5d83d23bcd6559224d8e9cb5227c9f58748889fe8"},
{file = "matplotlib-3.7.4-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0c698b33f9a3f0b127a8e614c8fb4087563bb3caa9c9d95298722fa2400cdd3f"},
{file = "matplotlib-3.7.4-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:be3493bbcb4d255cb71de1f9050ac71682fce21a56089eadbcc8e21784cb12ee"},
{file = "matplotlib-3.7.4-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:f8c725d1dd2901b2e7ec6cd64165e00da2978cc23d4143cb9ef745bec88e6b04"},
{file = "matplotlib-3.7.4-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:286332f8f45f8ffde2d2119b9fdd42153dccd5025fa9f451b4a3b5c086e26da5"},
{file = "matplotlib-3.7.4-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:116ef0b43aa00ff69260b4cce39c571e4b8c6f893795b708303fa27d9b9d7548"},
{file = "matplotlib-3.7.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c90590d4b46458677d80bc3218f3f1ac11fc122baa9134e0cb5b3e8fc3714052"},
{file = "matplotlib-3.7.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:de7c07069687be64fd9d119da3122ba13a8d399eccd3f844815f0dc78a870b2c"},
{file = "matplotlib-3.7.4.tar.gz", hash = "sha256:7cd4fef8187d1dd0d9dcfdbaa06ac326d396fb8c71c647129f0bf56835d77026"},
{file = "matplotlib-3.7.5-cp310-cp310-macosx_10_12_universal2.whl", hash = "sha256:4a87b69cb1cb20943010f63feb0b2901c17a3b435f75349fd9865713bfa63925"},
{file = "matplotlib-3.7.5-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:d3ce45010fefb028359accebb852ca0c21bd77ec0f281952831d235228f15810"},
{file = "matplotlib-3.7.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fbea1e762b28400393d71be1a02144aa16692a3c4c676ba0178ce83fc2928fdd"},
{file = "matplotlib-3.7.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ec0e1adc0ad70ba8227e957551e25a9d2995e319c29f94a97575bb90fa1d4469"},
{file = "matplotlib-3.7.5-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6738c89a635ced486c8a20e20111d33f6398a9cbebce1ced59c211e12cd61455"},
{file = "matplotlib-3.7.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1210b7919b4ed94b5573870f316bca26de3e3b07ffdb563e79327dc0e6bba515"},
{file = "matplotlib-3.7.5-cp310-cp310-win32.whl", hash = "sha256:068ebcc59c072781d9dcdb82f0d3f1458271c2de7ca9c78f5bd672141091e9e1"},
{file = "matplotlib-3.7.5-cp310-cp310-win_amd64.whl", hash = "sha256:f098ffbaab9df1e3ef04e5a5586a1e6b1791380698e84938d8640961c79b1fc0"},
{file = "matplotlib-3.7.5-cp311-cp311-macosx_10_12_universal2.whl", hash = "sha256:f65342c147572673f02a4abec2d5a23ad9c3898167df9b47c149f32ce61ca078"},
{file = "matplotlib-3.7.5-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:4ddf7fc0e0dc553891a117aa083039088d8a07686d4c93fb8a810adca68810af"},
{file = "matplotlib-3.7.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:0ccb830fc29442360d91be48527809f23a5dcaee8da5f4d9b2d5b867c1b087b8"},
{file = "matplotlib-3.7.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:efc6bb28178e844d1f408dd4d6341ee8a2e906fc9e0fa3dae497da4e0cab775d"},
{file = "matplotlib-3.7.5-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3b15c4c2d374f249f324f46e883340d494c01768dd5287f8bc00b65b625ab56c"},
{file = "matplotlib-3.7.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d028555421912307845e59e3de328260b26d055c5dac9b182cc9783854e98fb"},
{file = "matplotlib-3.7.5-cp311-cp311-win32.whl", hash = "sha256:fe184b4625b4052fa88ef350b815559dd90cc6cc8e97b62f966e1ca84074aafa"},
{file = "matplotlib-3.7.5-cp311-cp311-win_amd64.whl", hash = "sha256:084f1f0f2f1010868c6f1f50b4e1c6f2fb201c58475494f1e5b66fed66093647"},
{file = "matplotlib-3.7.5-cp312-cp312-macosx_10_12_universal2.whl", hash = "sha256:34bceb9d8ddb142055ff27cd7135f539f2f01be2ce0bafbace4117abe58f8fe4"},
{file = "matplotlib-3.7.5-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:c5a2134162273eb8cdfd320ae907bf84d171de948e62180fa372a3ca7cf0f433"},
{file = "matplotlib-3.7.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:039ad54683a814002ff37bf7981aa1faa40b91f4ff84149beb53d1eb64617980"},
{file = "matplotlib-3.7.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4d742ccd1b09e863b4ca58291728db645b51dab343eebb08d5d4b31b308296ce"},
{file = "matplotlib-3.7.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:743b1c488ca6a2bc7f56079d282e44d236bf375968bfd1b7ba701fd4d0fa32d6"},
{file = "matplotlib-3.7.5-cp312-cp312-win_amd64.whl", hash = "sha256:fbf730fca3e1f23713bc1fae0a57db386e39dc81ea57dc305c67f628c1d7a342"},
{file = "matplotlib-3.7.5-cp38-cp38-macosx_10_12_universal2.whl", hash = "sha256:cfff9b838531698ee40e40ea1a8a9dc2c01edb400b27d38de6ba44c1f9a8e3d2"},
{file = "matplotlib-3.7.5-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:1dbcca4508bca7847fe2d64a05b237a3dcaec1f959aedb756d5b1c67b770c5ee"},
{file = "matplotlib-3.7.5-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4cdf4ef46c2a1609a50411b66940b31778db1e4b73d4ecc2eaa40bd588979b13"},
{file = "matplotlib-3.7.5-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:167200ccfefd1674b60e957186dfd9baf58b324562ad1a28e5d0a6b3bea77905"},
{file = "matplotlib-3.7.5-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:53e64522934df6e1818b25fd48cf3b645b11740d78e6ef765fbb5fa5ce080d02"},
{file = "matplotlib-3.7.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d3e3bc79b2d7d615067bd010caff9243ead1fc95cf735c16e4b2583173f717eb"},
{file = "matplotlib-3.7.5-cp38-cp38-win32.whl", hash = "sha256:6b641b48c6819726ed47c55835cdd330e53747d4efff574109fd79b2d8a13748"},
{file = "matplotlib-3.7.5-cp38-cp38-win_amd64.whl", hash = "sha256:f0b60993ed3488b4532ec6b697059897891927cbfc2b8d458a891b60ec03d9d7"},
{file = "matplotlib-3.7.5-cp39-cp39-macosx_10_12_universal2.whl", hash = "sha256:090964d0afaff9c90e4d8de7836757e72ecfb252fb02884016d809239f715651"},
{file = "matplotlib-3.7.5-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:9fc6fcfbc55cd719bc0bfa60bde248eb68cf43876d4c22864603bdd23962ba25"},
{file = "matplotlib-3.7.5-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:5e7cc3078b019bb863752b8b60e8b269423000f1603cb2299608231996bd9d54"},
{file = "matplotlib-3.7.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1e4e9a868e8163abaaa8259842d85f949a919e1ead17644fb77a60427c90473c"},
{file = "matplotlib-3.7.5-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:fa7ebc995a7d747dacf0a717d0eb3aa0f0c6a0e9ea88b0194d3a3cd241a1500f"},
{file = "matplotlib-3.7.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3785bfd83b05fc0e0c2ae4c4a90034fe693ef96c679634756c50fe6efcc09856"},
{file = "matplotlib-3.7.5-cp39-cp39-win32.whl", hash = "sha256:29b058738c104d0ca8806395f1c9089dfe4d4f0f78ea765c6c704469f3fffc81"},
{file = "matplotlib-3.7.5-cp39-cp39-win_amd64.whl", hash = "sha256:fd4028d570fa4b31b7b165d4a685942ae9cdc669f33741e388c01857d9723eab"},
{file = "matplotlib-3.7.5-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:2a9a3f4d6a7f88a62a6a18c7e6a84aedcaf4faf0708b4ca46d87b19f1b526f88"},
{file = "matplotlib-3.7.5-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b9b3fd853d4a7f008a938df909b96db0b454225f935d3917520305b90680579c"},
{file = "matplotlib-3.7.5-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f0ad550da9f160737d7890217c5eeed4337d07e83ca1b2ca6535078f354e7675"},
{file = "matplotlib-3.7.5-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:20da7924a08306a861b3f2d1da0d1aa9a6678e480cf8eacffe18b565af2813e7"},
{file = "matplotlib-3.7.5-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:b45c9798ea6bb920cb77eb7306409756a7fab9db9b463e462618e0559aecb30e"},
{file = "matplotlib-3.7.5-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a99866267da1e561c7776fe12bf4442174b79aac1a47bd7e627c7e4d077ebd83"},
{file = "matplotlib-3.7.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2b6aa62adb6c268fc87d80f963aca39c64615c31830b02697743c95590ce3fbb"},
{file = "matplotlib-3.7.5-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:e530ab6a0afd082d2e9c17eb1eb064a63c5b09bb607b2b74fa41adbe3e162286"},
{file = "matplotlib-3.7.5.tar.gz", hash = "sha256:1e5c971558ebc811aa07f54c7b7c677d78aa518ef4c390e14673a09e0860184a"},
]
[package.dependencies]
@ -2132,14 +2189,14 @@ mkdocs = ">=1.1"
[[package]]
name = "mkdocs-git-committers-plugin-2"
version = "2.2.3"
version = "2.3.0"
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"
category = "dev"
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"},
{file = "mkdocs-git-committers-plugin-2-2.3.0.tar.gz", hash = "sha256:d6baca1ae04db8120640038eda8142f2d081c27b53f3b566c83c75717e4ed81a"},
{file = "mkdocs_git_committers_plugin_2-2.3.0-py3-none-any.whl", hash = "sha256:7b3434af3be525c12858eb3b44b4c6b695b7c7b7760482ea8de1c6e292e84f0f"},
]
[package.dependencies]
@ -2190,14 +2247,14 @@ test = ["coverage[toml]", "pymdown-extensions", "pytest", "pytest-cov"]
[[package]]
name = "mkdocs-material"
version = "9.5.8"
version = "9.5.11"
description = "Documentation that simply works"
category = "dev"
optional = false
python-versions = ">=3.8"
files = [
{file = "mkdocs_material-9.5.8-py3-none-any.whl", hash = "sha256:14563314bbf97da4bfafc69053772341babfaeb3329cde01d3e63cec03997af8"},
{file = "mkdocs_material-9.5.8.tar.gz", hash = "sha256:2a429213e83f84eda7a588e2b186316d806aac602b7f93990042f7a1f3d3cf65"},
{file = "mkdocs_material-9.5.11-py3-none-any.whl", hash = "sha256:788ee0f3e036dca2dc20298d65e480297d348a44c9d7b2ee05c5262983e66072"},
{file = "mkdocs_material-9.5.11.tar.gz", hash = "sha256:7af7f8af0dea16175558f3fb9245d26c83a17199baa5f157755e63d7437bf971"},
]
[package.dependencies]
@ -2375,14 +2432,13 @@ test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>=
[[package]]
name = "nbconvert"
version = "7.16.0"
description = "Converting Jupyter Notebooks"
category = "dev"
version = "7.16.1"
description = "Converting Jupyter Notebooks (.ipynb files) to other formats. Output formats include asciidoc, html, latex, markdown, pdf, py, rst, script. nbconvert can be used both as a Python library (`import nbconvert`) or as a command line tool (invoked as `jupyter nbconvert ...`)."
optional = false
python-versions = ">=3.8"
files = [
{file = "nbconvert-7.16.0-py3-none-any.whl", hash = "sha256:ad3dc865ea6e2768d31b7eb6c7ab3be014927216a5ece3ef276748dd809054c7"},
{file = "nbconvert-7.16.0.tar.gz", hash = "sha256:813e6553796362489ae572e39ba1bff978536192fb518e10826b0e8cadf03ec8"},
{file = "nbconvert-7.16.1-py3-none-any.whl", hash = "sha256:3188727dffadfdc9c6a1c7250729063d7bc78b355ad7aa023138afa030d1cd07"},
{file = "nbconvert-7.16.1.tar.gz", hash = "sha256:e79e6a074f49ba3ed29428ed86487bf51509d9aab613bd8522ac08f6d28fd7fd"},
]
[package.dependencies]
@ -2489,19 +2545,19 @@ setuptools = "*"
[[package]]
name = "notebook"
version = "7.0.7"
version = "7.1.0"
description = "Jupyter Notebook - A web-based notebook environment for interactive computing"
category = "dev"
optional = false
python-versions = ">=3.8"
files = [
{file = "notebook-7.0.7-py3-none-any.whl", hash = "sha256:289b606d7e173f75a18beb1406ef411b43f97f7a9c55ba03efa3622905a62346"},
{file = "notebook-7.0.7.tar.gz", hash = "sha256:3bcff00c17b3ac142ef5f436d50637d936b274cfa0b41f6ac0175363de9b4e09"},
{file = "notebook-7.1.0-py3-none-any.whl", hash = "sha256:a8fa4ccb5e5fe220f29d9900337efd7752bc6f2efe004d6f320db01f7743adc9"},
{file = "notebook-7.1.0.tar.gz", hash = "sha256:99caf01ff166b1cc86355c9b37c1ba9bf566c1d7fc4ab57bb6f8f24e36c4260e"},
]
[package.dependencies]
jupyter-server = ">=2.4.0,<3"
jupyterlab = ">=4.0.2,<5"
jupyterlab = ">=4.1.1,<4.2"
jupyterlab-server = ">=2.22.1,<3"
notebook-shim = ">=0.2,<0.3"
tornado = ">=6.2.0"
@ -3074,14 +3130,14 @@ tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
[[package]]
name = "pytest"
version = "8.0.0"
version = "8.0.2"
description = "pytest: simple powerful testing with Python"
category = "dev"
optional = false
python-versions = ">=3.8"
files = [
{file = "pytest-8.0.0-py3-none-any.whl", hash = "sha256:50fb9cbe836c3f20f0dfa99c565201fb75dc54c8d76373cd1bde06b06657bdb6"},
{file = "pytest-8.0.0.tar.gz", hash = "sha256:249b1b0864530ba251b7438274c4d251c58d868edaaec8762893ad4a0d71c36c"},
{file = "pytest-8.0.2-py3-none-any.whl", hash = "sha256:edfaaef32ce5172d5466b5127b42e0d6d35ebbe4453f0e3505d96afd93f6b096"},
{file = "pytest-8.0.2.tar.gz", hash = "sha256:d4051d623a2e0b7e51960ba963193b09ce6daeb9759a451844a21e4ddedfc1bd"},
]
[package.dependencies]
@ -3706,29 +3762,29 @@ files = [
[[package]]
name = "ruff"
version = "0.2.1"
version = "0.2.2"
description = "An extremely fast Python linter and code formatter, written in Rust."
category = "dev"
optional = false
python-versions = ">=3.7"
files = [
{file = "ruff-0.2.1-py3-none-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:dd81b911d28925e7e8b323e8d06951554655021df8dd4ac3045d7212ac4ba080"},
{file = "ruff-0.2.1-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:dc586724a95b7d980aa17f671e173df00f0a2eef23f8babbeee663229a938fec"},
{file = "ruff-0.2.1-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c92db7101ef5bfc18e96777ed7bc7c822d545fa5977e90a585accac43d22f18a"},
{file = "ruff-0.2.1-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:13471684694d41ae0f1e8e3a7497e14cd57ccb7dd72ae08d56a159d6c9c3e30e"},
{file = "ruff-0.2.1-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a11567e20ea39d1f51aebd778685582d4c56ccb082c1161ffc10f79bebe6df35"},
{file = "ruff-0.2.1-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:00a818e2db63659570403e44383ab03c529c2b9678ba4ba6c105af7854008105"},
{file = "ruff-0.2.1-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:be60592f9d218b52f03384d1325efa9d3b41e4c4d55ea022cd548547cc42cd2b"},
{file = "ruff-0.2.1-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fbd2288890b88e8aab4499e55148805b58ec711053588cc2f0196a44f6e3d855"},
{file = "ruff-0.2.1-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f3ef052283da7dec1987bba8d8733051c2325654641dfe5877a4022108098683"},
{file = "ruff-0.2.1-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:7022d66366d6fded4ba3889f73cd791c2d5621b2ccf34befc752cb0df70f5fad"},
{file = "ruff-0.2.1-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:0a725823cb2a3f08ee743a534cb6935727d9e47409e4ad72c10a3faf042ad5ba"},
{file = "ruff-0.2.1-py3-none-musllinux_1_2_i686.whl", hash = "sha256:0034d5b6323e6e8fe91b2a1e55b02d92d0b582d2953a2b37a67a2d7dedbb7acc"},
{file = "ruff-0.2.1-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:e5cb5526d69bb9143c2e4d2a115d08ffca3d8e0fddc84925a7b54931c96f5c02"},
{file = "ruff-0.2.1-py3-none-win32.whl", hash = "sha256:6b95ac9ce49b4fb390634d46d6ece32ace3acdd52814671ccaf20b7f60adb232"},
{file = "ruff-0.2.1-py3-none-win_amd64.whl", hash = "sha256:e3affdcbc2afb6f5bd0eb3130139ceedc5e3f28d206fe49f63073cb9e65988e0"},
{file = "ruff-0.2.1-py3-none-win_arm64.whl", hash = "sha256:efababa8e12330aa94a53e90a81eb6e2d55f348bc2e71adbf17d9cad23c03ee6"},
{file = "ruff-0.2.1.tar.gz", hash = "sha256:3b42b5d8677cd0c72b99fcaf068ffc62abb5a19e71b4a3b9cfa50658a0af02f1"},
{file = "ruff-0.2.2-py3-none-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:0a9efb032855ffb3c21f6405751d5e147b0c6b631e3ca3f6b20f917572b97eb6"},
{file = "ruff-0.2.2-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:d450b7fbff85913f866a5384d8912710936e2b96da74541c82c1b458472ddb39"},
{file = "ruff-0.2.2-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ecd46e3106850a5c26aee114e562c329f9a1fbe9e4821b008c4404f64ff9ce73"},
{file = "ruff-0.2.2-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5e22676a5b875bd72acd3d11d5fa9075d3a5f53b877fe7b4793e4673499318ba"},
{file = "ruff-0.2.2-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1695700d1e25a99d28f7a1636d85bafcc5030bba9d0578c0781ba1790dbcf51c"},
{file = "ruff-0.2.2-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:b0c232af3d0bd8f521806223723456ffebf8e323bd1e4e82b0befb20ba18388e"},
{file = "ruff-0.2.2-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f63d96494eeec2fc70d909393bcd76c69f35334cdbd9e20d089fb3f0640216ca"},
{file = "ruff-0.2.2-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6a61ea0ff048e06de273b2e45bd72629f470f5da8f71daf09fe481278b175001"},
{file = "ruff-0.2.2-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5e1439c8f407e4f356470e54cdecdca1bd5439a0673792dbe34a2b0a551a2fe3"},
{file = "ruff-0.2.2-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:940de32dc8853eba0f67f7198b3e79bc6ba95c2edbfdfac2144c8235114d6726"},
{file = "ruff-0.2.2-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:0c126da55c38dd917621552ab430213bdb3273bb10ddb67bc4b761989210eb6e"},
{file = "ruff-0.2.2-py3-none-musllinux_1_2_i686.whl", hash = "sha256:3b65494f7e4bed2e74110dac1f0d17dc8e1f42faaa784e7c58a98e335ec83d7e"},
{file = "ruff-0.2.2-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:1ec49be4fe6ddac0503833f3ed8930528e26d1e60ad35c2446da372d16651ce9"},
{file = "ruff-0.2.2-py3-none-win32.whl", hash = "sha256:d920499b576f6c68295bc04e7b17b6544d9d05f196bb3aac4358792ef6f34325"},
{file = "ruff-0.2.2-py3-none-win_amd64.whl", hash = "sha256:cc9a91ae137d687f43a44c900e5d95e9617cb37d4c989e462980ba27039d239d"},
{file = "ruff-0.2.2-py3-none-win_arm64.whl", hash = "sha256:c9d15fc41e6054bfc7200478720570078f0b41c9ae4f010bcc16bd6f4d1aacdd"},
{file = "ruff-0.2.2.tar.gz", hash = "sha256:e62ed7f36b3068a30ba39193a14274cd706bc486fad521276458022f7bccb31d"},
]
[[package]]
@ -4019,14 +4075,14 @@ files = [
[[package]]
name = "tox"
version = "4.12.1"
version = "4.13.0"
description = "tox is a generic virtualenv management and test command line tool"
category = "dev"
optional = false
python-versions = ">=3.8"
files = [
{file = "tox-4.12.1-py3-none-any.whl", hash = "sha256:c07ea797880a44f3c4f200ad88ad92b446b83079d4ccef89585df64cc574375c"},
{file = "tox-4.12.1.tar.gz", hash = "sha256:61aafbeff1bd8a5af84e54ef6e8402f53c6a6066d0782336171ddfbf5362122e"},
{file = "tox-4.13.0-py3-none-any.whl", hash = "sha256:1143c7e2489c68026a55d3d4ae84c02c449f073b28e62f80e3e440a3b72a4afa"},
{file = "tox-4.13.0.tar.gz", hash = "sha256:dd789a554c16c4b532924ba393c92fc8991323c4b3d466712bfecc8c9b9f24f7"},
]
[package.dependencies]
@ -4047,14 +4103,14 @@ testing = ["build[virtualenv] (>=1.0.3)", "covdefaults (>=2.3)", "detect-test-po
[[package]]
name = "tqdm"
version = "4.66.1"
version = "4.66.2"
description = "Fast, Extensible Progress Meter"
category = "main"
optional = true
python-versions = ">=3.7"
files = [
{file = "tqdm-4.66.1-py3-none-any.whl", hash = "sha256:d302b3c5b53d47bce91fea46679d9c3c6508cf6332229aa1e7d8653723793386"},
{file = "tqdm-4.66.1.tar.gz", hash = "sha256:d88e651f9db8d8551a62556d3cff9e3034274ca5d66e93197cf2490e2dcb69c7"},
{file = "tqdm-4.66.2-py3-none-any.whl", hash = "sha256:1ee4f8a893eb9bef51c6e35730cebf234d5d0b6bd112b0271e10ed7c24a02bd9"},
{file = "tqdm-4.66.2.tar.gz", hash = "sha256:6cd52cdf0fef0e0f543299cfc96fec90d7b8a7e88745f411ec33eb44d5ed3531"},
]
[package.dependencies]
@ -4084,14 +4140,14 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,
[[package]]
name = "twine"
version = "4.0.2"
version = "5.0.0"
description = "Collection of utilities for publishing packages on PyPI"
category = "dev"
optional = false
python-versions = ">=3.7"
python-versions = ">=3.8"
files = [
{file = "twine-4.0.2-py3-none-any.whl", hash = "sha256:929bc3c280033347a00f847236564d1c52a3e61b1ac2516c97c48f3ceab756d8"},
{file = "twine-4.0.2.tar.gz", hash = "sha256:9e102ef5fdd5a20661eb88fad46338806c3bd32cf1db729603fe3697b1bc83c8"},
{file = "twine-5.0.0-py3-none-any.whl", hash = "sha256:a262933de0b484c53408f9edae2e7821c1c45a3314ff2df9bdd343aa7ab8edc0"},
{file = "twine-5.0.0.tar.gz", hash = "sha256:89b0cc7d370a4b66421cc6102f269aa910fe0f1861c124f573cf2ddedbc10cf4"},
]
[package.dependencies]
@ -4344,4 +4400,4 @@ desktop = ["opencv-python"]
[metadata]
lock-version = "2.0"
python-versions = "^3.8"
content-hash = "844f11f37895e0e56d43bd31f189e84e64c21248e120260a067597c822f35cc1"
content-hash = "d635be9c5f61a2af5901d9ad00f31cdb714074ab5d5537e8280214d9d98aed64"

5
pyproject.toml
View File

@ -43,15 +43,14 @@ 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 }
pillow = "^10.2.0"
tqdm = { version = ">=4.62.3,<=4.66.2", optional = true }
[tool.poetry.extras]
desktop = ["opencv-python"]
assets = ["requests","tqdm"]
[tool.poetry.group.dev.dependencies]
twine = "^4.0.2"
twine = ">=4.0.2,<6.0.0"
pytest = ">=7.2.2,<9.0.0"
wheel = ">=0.40,<0.43"
build = ">=0.10,<1.1"

2
supervision/__init__.py
View File

@ -35,7 +35,7 @@ from supervision.dataset.core import (
)
from supervision.detection.annotate import BoxAnnotator
from supervision.detection.core import Detections
from supervision.detection.line_counter import LineZone, LineZoneAnnotator
from supervision.detection.line_zone import LineZone, LineZoneAnnotator
from supervision.detection.tools.csv_sink import CSVSink
from supervision.detection.tools.inference_slicer import InferenceSlicer
from supervision.detection.tools.polygon_zone import PolygonZone, PolygonZoneAnnotator

14
supervision/annotators/core.py
View File

@ -973,6 +973,20 @@ class LabelAnnotator:
center_x + text_w // 2,
center_y + text_h,
)
elif position == Position.CENTER_LEFT:
return (
center_x - text_w,
center_y - text_h // 2,
center_x,
center_y + text_h // 2,
)
elif position == Position.CENTER_RIGHT:
return (
center_x,
center_y - text_h // 2,
center_x + text_w,
center_y + text_h // 2,
)
@scene_to_annotator_img_type
def annotate(

4
supervision/detection/core.py
View File

@ -487,7 +487,9 @@ class Detections:
)
if np.asarray(xyxy).shape[0] == 0:
return cls.empty()
empty_detection = cls.empty()
empty_detection.data = {CLASS_NAME_DATA_FIELD: np.empty(0)}
return empty_detection
return cls(
xyxy=xyxy,

29
supervision/detection/line_counter.py → supervision/detection/line_zone.py
View File

@ -14,6 +14,12 @@ class LineZone:
This class is responsible for counting the number of objects that cross a
predefined line.
<video controls>
<source
src="https://media.roboflow.com/supervision/cookbooks/count-objects-crossing-the-line-result-1280x720.mp4"
type="video/mp4">
</video>
!!! warning
LineZone uses the `tracker_id`. Read
@ -25,7 +31,28 @@ class LineZone:
to inside.
out_count (int): The number of objects that have crossed the line from inside
to outside.
"""
Example:
```python
import supervision as sv
from ultralytics import YOLO
model = YOLO(<SOURCE_MODEL_PATH>)
tracker = sv.ByteTrack()
frames_generator = sv.get_video_frames_generator(<SOURCE_VIDEO_PATH>)
start, end = sv.Point(x=0, y=1080), sv.Point(x=3840, y=1080)
line_zone = sv.LineZone(start=start, end=end)
for frame in frames_generator:
result = model(frame)[0]
detections = sv.Detections.from_ultralytics(result)
detections = tracker.update_with_detections(detections)
crossed_in, crossed_out = line_zone.trigger(detections)
line_zone.in_count, line_zone.out_count
# 7, 2
```
""" # noqa: E501 // docs
def __init__(
self,

49
supervision/detection/utils.py
View File

@ -59,8 +59,11 @@ def box_iou_batch(boxes_true: np.ndarray, boxes_detection: np.ndarray) -> np.nda
return area_inter / (area_true[:, None] + area_detection - area_inter)
def mask_iou_batch(masks_true: np.ndarray, masks_detection: np.ndarray) -> np.ndarray:
def _mask_iou_batch_split(
masks_true: np.ndarray, masks_detection: np.ndarray
) -> np.ndarray:
"""
Internal function.
Compute Intersection over Union (IoU) of two sets of masks -
`masks_true` and `masks_detection`.
@ -74,9 +77,9 @@ def mask_iou_batch(masks_true: np.ndarray, masks_detection: np.ndarray) -> np.nd
intersection_area = np.logical_and(masks_true[:, None], masks_detection).sum(
axis=(2, 3)
)
masks_true_area = masks_true.sum(axis=(1, 2))
masks_detection_area = masks_detection.sum(axis=(1, 2))
union_area = masks_true_area[:, None] + masks_detection_area - intersection_area
return np.divide(
@ -87,6 +90,48 @@ def mask_iou_batch(masks_true: np.ndarray, masks_detection: np.ndarray) -> np.nd
)
def mask_iou_batch(
masks_true: np.ndarray,
masks_detection: np.ndarray,
memory_limit: int = 1024 * 1024 * 5,
) -> np.ndarray:
"""
Compute Intersection over Union (IoU) of two sets of masks -
`masks_true` and `masks_detection`.
Args:
masks_true (np.ndarray): 3D `np.ndarray` representing ground-truth masks.
masks_detection (np.ndarray): 3D `np.ndarray` representing detection masks.
memory_limit (int, optional): memory limit in bytes, default is 5GB.
Returns:
np.ndarray: Pairwise IoU of masks from `masks_true` and `masks_detection`.
"""
memory = (
masks_true.shape[0]
* masks_true.shape[1]
* masks_true.shape[2]
* masks_detection.shape[0]
)
if memory <= memory_limit: # 5GB memory
return _mask_iou_batch_split(masks_true, masks_detection)
ious = []
step = max(
memory_limit
// (
masks_detection.shape[0]
* masks_detection.shape[1]
* masks_detection.shape[2]
),
1,
)
for i in range(0, masks_true.shape[0], step):
ious.append(_mask_iou_batch_split(masks_true[i : i + step], masks_detection))
return np.vstack(ious)
def resize_masks(masks: np.ndarray, max_dimension: int = 640) -> np.ndarray:
"""
Resize all masks in the array to have a maximum dimension of max_dimension,

16
supervision/utils/video.py
View File

@ -28,7 +28,7 @@ class VideoInfo:
```python
import supervision as sv
video_info = sv.VideoInfo.from_video_path(video_path='video.mp4')
video_info = sv.VideoInfo.from_video_path(video_path=<SOURCE_VIDEO_FILE>)
video_info
# VideoInfo(width=3840, height=2160, fps=25, total_frames=538)
@ -75,14 +75,14 @@ class VideoSink:
```python
import supervision as sv
video_info = sv.VideoInfo.from_video_path('source.mp4')
frames_generator = sv.get_video_frames_generator('source.mp4')
video_info = sv.VideoInfo.from_video_path(<SOURCE_VIDEO_PATH>)
frames_generator = sv.get_video_frames_generator(<SOURCE_VIDEO_PATH>)
with sv.VideoSink(target_path='target.mp4', video_info=video_info) as sink:
with sv.VideoSink(target_path=<TARGET_VIDEO_PATH>, video_info=video_info) as sink:
for frame in frames_generator:
sink.write_frame(frame=frame)
```
"""
""" # noqa: E501 // docs
def __init__(self, target_path: str, video_info: VideoInfo, codec: str = "mp4v"):
self.target_path = target_path
@ -147,7 +147,7 @@ def get_video_frames_generator(
```python
import supervision as sv
for frame in sv.get_video_frames_generator(source_path='source_video.mp4'):
for frame in sv.get_video_frames_generator(source_path=<SOURCE_VIDEO_PATH>):
...
```
"""
@ -191,8 +191,8 @@ def process_video(
...
process_video(
source_path='...',
target_path='...',
source_path=<SOURCE_VIDEO_PATH>,
target_path=<TARGET_VIDEO_PATH>,
callback=callback
)
```