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2ab5941cbc |
@@ -0,0 +1,16 @@
|
||||
version: 2
|
||||
updates:
|
||||
# GitHub Actions
|
||||
- package-ecosystem: "github-actions"
|
||||
directory: "/"
|
||||
schedule:
|
||||
interval: "daily"
|
||||
commit-message:
|
||||
prefix: ⬆️
|
||||
# Python
|
||||
- package-ecosystem: "pip"
|
||||
directory: "/"
|
||||
schedule:
|
||||
interval: "daily"
|
||||
commit-message:
|
||||
prefix: ⬆️
|
||||
@@ -10,7 +10,7 @@ jobs:
|
||||
deploy:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v3
|
||||
- uses: actions/checkout@v4
|
||||
- uses: actions/setup-python@v4
|
||||
with:
|
||||
python-version: 3.x
|
||||
|
||||
@@ -16,7 +16,7 @@ jobs:
|
||||
|
||||
steps:
|
||||
- name: Checkout source
|
||||
uses: actions/checkout@v3
|
||||
uses: actions/checkout@v4
|
||||
|
||||
- name: 🐍 Set up Python 3.8 environment for build
|
||||
uses: actions/setup-python@v4
|
||||
|
||||
@@ -17,7 +17,7 @@ jobs:
|
||||
python-version: [3.8]
|
||||
steps:
|
||||
- name: 🛎️ Checkout
|
||||
uses: actions/checkout@v3
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
ref: ${{ github.head_ref }}
|
||||
- name: 🐍 Set up Python ${{ matrix.python-version }}
|
||||
|
||||
@@ -12,7 +12,7 @@ jobs:
|
||||
python-version: ["3.8", "3.9", "3.10","3.11"]
|
||||
steps:
|
||||
- name: 🛎️ Checkout
|
||||
uses: actions/checkout@v3
|
||||
uses: actions/checkout@v4
|
||||
- name: 🐍 Set up Python ${{ matrix.python-version }}
|
||||
uses: actions/setup-python@v4
|
||||
# id based on python version
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||||
|
||||
@@ -11,7 +11,7 @@ jobs:
|
||||
name: 👋 Welcome
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/first-interaction@v1.1.1
|
||||
- uses: actions/first-interaction@v1.2.0
|
||||
with:
|
||||
repo-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
issue-message: "Hello there, thank you for opening an Issue ! 🙏🏻 The team was notified and they will get back to you asap."
|
||||
|
||||
@@ -65,12 +65,12 @@ repos:
|
||||
|
||||
|
||||
- repo: https://github.com/psf/black
|
||||
rev: 23.9.1
|
||||
rev: 23.10.0
|
||||
hooks:
|
||||
- id: black
|
||||
|
||||
- repo: https://github.com/astral-sh/ruff-pre-commit
|
||||
rev: v0.0.292
|
||||
rev: v0.1.1
|
||||
hooks:
|
||||
- id: ruff
|
||||
args: [--fix, --exit-non-zero-on-fix]
|
||||
|
||||
Vendored
+2
-2
@@ -226,7 +226,7 @@
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/45.4 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m45.4/45.4 kB\u001b[0m \u001b[31m3.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[?25h0.15.0\n"
|
||||
"\u001b[?25h0.16.0\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -540,7 +540,7 @@
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"mask_annotator = sv.MaskAnnotator(color_map=\"index\")\n",
|
||||
"mask_annotator = sv.MaskAnnotator(color_lookup=sv.ColorLookup.INDEX)\n",
|
||||
"\n",
|
||||
"annotated_image = mask_annotator.annotate(image.copy(), detections=detections)\n",
|
||||
"\n",
|
||||
|
||||
@@ -0,0 +1,21 @@
|
||||
Supervision offers an assets download utility that allows you to download video files
|
||||
that you can use in your demos.
|
||||
|
||||
## install extra
|
||||
|
||||
To install the Supervision assets utility, you can use pip. This utility is available
|
||||
as an extra within the Supervision package.
|
||||
|
||||
!!! example "pip install"
|
||||
|
||||
```bash
|
||||
pip install supervision[assets]
|
||||
```
|
||||
|
||||
## download_assets
|
||||
|
||||
:::supervision.assets.downloader.download_assets
|
||||
|
||||
## VideoAssets
|
||||
|
||||
:::supervision.assets.list.VideoAssets
|
||||
@@ -55,6 +55,7 @@ nav:
|
||||
- Image: utils/image.md
|
||||
- Notebook: utils/notebook.md
|
||||
- File: utils/file.md
|
||||
- Assets: assets.md
|
||||
- Changelog: changelog.md
|
||||
|
||||
theme:
|
||||
|
||||
Generated
+21
-25
@@ -493,7 +493,6 @@ files = [
|
||||
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||||
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||||
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|
||||
{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"},
|
||||
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|
||||
{file = "contourpy-1.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:27bc79200c742f9746d7dd51a734ee326a292d77e7d94c8af6e08d1e6c15d545"},
|
||||
@@ -502,7 +501,6 @@ files = [
|
||||
{file = "contourpy-1.1.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e5cec36c5090e75a9ac9dbd0ff4a8cf7cecd60f1b6dc23a374c7d980a1cd710e"},
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||||
{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"},
|
||||
@@ -511,7 +509,6 @@ files = [
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||||
{file = "contourpy-1.1.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:317267d915490d1e84577924bd61ba71bf8681a30e0d6c545f577363157e5e94"},
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{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"},
|
||||
@@ -520,7 +517,6 @@ files = [
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{file = "contourpy-1.1.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:143dde50520a9f90e4a2703f367cf8ec96a73042b72e68fcd184e1279962eb6f"},
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{file = "contourpy-1.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e94bef2580e25b5fdb183bf98a2faa2adc5b638736b2c0a4da98691da641316a"},
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{file = "contourpy-1.1.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ed614aea8462735e7d70141374bd7650afd1c3f3cb0c2dbbcbe44e14331bf002"},
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{file = "contourpy-1.1.0-cp39-cp39-win32.whl", hash = "sha256:71551f9520f008b2950bef5f16b0e3587506ef4f23c734b71ffb7b89f8721999"},
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{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"},
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||||
{file = "contourpy-1.1.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:397b0ac8a12880412da3551a8cb5a187d3298a72802b45a3bd1805e204ad8439"},
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@@ -1455,16 +1451,6 @@ files = [
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{file = "MarkupSafe-2.1.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5bbe06f8eeafd38e5d0a4894ffec89378b6c6a625ff57e3028921f8ff59318ac"},
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{file = "MarkupSafe-2.1.3-cp311-cp311-win32.whl", hash = "sha256:dd15ff04ffd7e05ffcb7fe79f1b98041b8ea30ae9234aed2a9168b5797c3effb"},
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{file = "MarkupSafe-2.1.3-cp311-cp311-win_amd64.whl", hash = "sha256:134da1eca9ec0ae528110ccc9e48041e0828d79f24121a1a146161103c76e686"},
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{file = "MarkupSafe-2.1.3-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:f698de3fd0c4e6972b92290a45bd9b1536bffe8c6759c62471efaa8acb4c37bc"},
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{file = "MarkupSafe-2.1.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:aa57bd9cf8ae831a362185ee444e15a93ecb2e344c8e52e4d721ea3ab6ef1823"},
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{file = "MarkupSafe-2.1.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11"},
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{file = "MarkupSafe-2.1.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47d4f1c5f80fc62fdd7777d0d40a2e9dda0a05883ab11374334f6c4de38adffd"},
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{file = "MarkupSafe-2.1.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1f67c7038d560d92149c060157d623c542173016c4babc0c1913cca0564b9939"},
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{file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:9aad3c1755095ce347e26488214ef77e0485a3c34a50c5a5e2471dff60b9dd9c"},
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{file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:14ff806850827afd6b07a5f32bd917fb7f45b046ba40c57abdb636674a8b559c"},
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{file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8f9293864fe09b8149f0cc42ce56e3f0e54de883a9de90cd427f191c346eb2e1"},
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{file = "MarkupSafe-2.1.3-cp312-cp312-win32.whl", hash = "sha256:715d3562f79d540f251b99ebd6d8baa547118974341db04f5ad06d5ea3eb8007"},
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{file = "MarkupSafe-2.1.3-cp312-cp312-win_amd64.whl", hash = "sha256:1b8dd8c3fd14349433c79fa8abeb573a55fc0fdd769133baac1f5e07abf54aeb"},
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{file = "MarkupSafe-2.1.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:8e254ae696c88d98da6555f5ace2279cf7cd5b3f52be2b5cf97feafe883b58d2"},
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{file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cb0932dc158471523c9637e807d9bfb93e06a95cbf010f1a38b98623b929ef2b"},
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{file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9402b03f1a1b4dc4c19845e5c749e3ab82d5078d16a2a4c2cd2df62d57bb0707"},
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@@ -2582,7 +2568,6 @@ files = [
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{file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938"},
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||||
{file = "PyYAML-6.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290"},
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||||
{file = "PyYAML-6.0.1-cp310-cp310-win32.whl", hash = "sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924"},
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||||
{file = "PyYAML-6.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d"},
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{file = "PyYAML-6.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007"},
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@@ -2590,15 +2575,8 @@ files = [
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{file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:42f8152b8dbc4fe7d96729ec2b99c7097d656dc1213a3229ca5383f973a5ed6d"},
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{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_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"},
|
||||
@@ -2615,7 +2593,6 @@ 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"},
|
||||
@@ -2623,7 +2600,6 @@ 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"},
|
||||
@@ -3294,6 +3270,26 @@ files = [
|
||||
{file = "tornado-6.3.3.tar.gz", hash = "sha256:e7d8db41c0181c80d76c982aacc442c0783a2c54d6400fe028954201a2e032fe"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "tqdm"
|
||||
version = "4.66.1"
|
||||
description = "Fast, Extensible Progress Meter"
|
||||
optional = false
|
||||
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"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
colorama = {version = "*", markers = "platform_system == \"Windows\""}
|
||||
|
||||
[package.extras]
|
||||
dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
|
||||
notebook = ["ipywidgets (>=6)"]
|
||||
slack = ["slack-sdk"]
|
||||
telegram = ["requests"]
|
||||
|
||||
[[package]]
|
||||
name = "traitlets"
|
||||
version = "5.9.0"
|
||||
@@ -3520,4 +3516,4 @@ desktop = ["opencv-python"]
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.8,<3.12.0"
|
||||
content-hash = "beb692d89611ce85f8b2992f4e6da71fd14fa2ca75742ddae1a1c7b77df134f7"
|
||||
content-hash = "88f2cd2cce563de66fa9ea5b877ff83a971047b33d2860dd9964e463fd4c1433"
|
||||
|
||||
+7
-2
@@ -1,6 +1,6 @@
|
||||
[tool.poetry]
|
||||
name = "supervision"
|
||||
version = "0.16.0"
|
||||
version = "0.17.0rc1"
|
||||
description = "A set of easy-to-use utils that will come in handy in any Computer Vision project"
|
||||
authors = ["Piotr Skalski <piotr.skalski92@gmail.com>"]
|
||||
maintainers = ["Piotr Skalski <piotr.skalski92@gmail.com>"]
|
||||
@@ -43,11 +43,13 @@ pillow = ">=9.4,<11.0"
|
||||
opencv-python = { version = "^4.8.0.74", optional = true }
|
||||
opencv-python-headless = "^4.8.0.74"
|
||||
scipy = "^1.9.0"
|
||||
requests = { version = "^2.31.0", optional = true }
|
||||
tqdm = { version = "^4.66.1", optional = true }
|
||||
|
||||
|
||||
[tool.poetry.extras]
|
||||
desktop = ["opencv-python"]
|
||||
|
||||
assets = ["requests","tqdm"]
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
twine = "^4.0.2"
|
||||
@@ -79,6 +81,7 @@ extend-ignore = """
|
||||
"""
|
||||
per-file-ignores = """
|
||||
__init__.py: F401
|
||||
supervision/assets/list.py: E501
|
||||
"""
|
||||
|
||||
[tool.isort]
|
||||
@@ -149,6 +152,7 @@ exclude = [
|
||||
"yarn-error.log",
|
||||
"yarn.lock",
|
||||
"docs",
|
||||
"supervision/assets/list.py"
|
||||
]
|
||||
|
||||
# Same as Black.
|
||||
@@ -167,6 +171,7 @@ convention = "google"
|
||||
|
||||
[tool.ruff.per-file-ignores]
|
||||
"__init__.py" = ["E402","F401"]
|
||||
"supervision/assets/list.py" = ["E501"]
|
||||
|
||||
[tool.ruff.pylint]
|
||||
max-args = 20
|
||||
|
||||
@@ -0,0 +1,2 @@
|
||||
from .downloader import download_assets
|
||||
from .list import VideoAssets
|
||||
@@ -0,0 +1,87 @@
|
||||
import os
|
||||
from hashlib import md5
|
||||
from pathlib import Path
|
||||
from shutil import copyfileobj
|
||||
from typing import Union
|
||||
|
||||
from supervision.assets import VideoAssets
|
||||
from supervision.assets.list import VIDEO_ASSETS
|
||||
|
||||
try:
|
||||
from requests import get
|
||||
from tqdm.auto import tqdm
|
||||
except ImportError:
|
||||
raise ValueError(
|
||||
"\n"
|
||||
"Please install requests and tqdm to download assets \n"
|
||||
"or install supervision with assets \n"
|
||||
"pip install supervision[assets] \n"
|
||||
"\n"
|
||||
)
|
||||
|
||||
|
||||
def is_md5_hash_matching(filename: str, original_md5_hash: str) -> bool:
|
||||
"""
|
||||
Check if the MD5 hash of a file matches the original hash.
|
||||
|
||||
Parameters:
|
||||
filename (str): The path to the file to be checked as a string.
|
||||
original_md5_hash (str): The original MD5 hash to compare against.
|
||||
|
||||
Returns:
|
||||
bool: True if the hashes match, False otherwise.
|
||||
"""
|
||||
if not os.path.exists(filename):
|
||||
return False
|
||||
|
||||
with open(filename, "rb") as file:
|
||||
file_contents = file.read()
|
||||
computed_md5_hash = md5(file_contents).hexdigest()
|
||||
|
||||
return computed_md5_hash == original_md5_hash
|
||||
|
||||
|
||||
def download_assets(asset_name: Union[VideoAssets, str]) -> str:
|
||||
"""
|
||||
Download a specified asset if it doesn't already exist or is corrupted.
|
||||
|
||||
Parameters:
|
||||
asset_name (Union[VideoAssets, str]): The name or type of the asset to be
|
||||
downloaded.
|
||||
|
||||
Returns:
|
||||
str: The filename of the downloaded asset.
|
||||
"""
|
||||
|
||||
filename = asset_name.value if isinstance(asset_name, VideoAssets) else asset_name
|
||||
|
||||
if not Path(filename).exists() and filename in VIDEO_ASSETS:
|
||||
print(f"Downloading {filename} assets \n")
|
||||
response = get(VIDEO_ASSETS[filename][0], stream=True, allow_redirects=True)
|
||||
response.raise_for_status()
|
||||
|
||||
file_size = int(response.headers.get("Content-Length", 0))
|
||||
folder_path = Path(filename).expanduser().resolve()
|
||||
folder_path.parent.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
with tqdm.wrapattr(
|
||||
response.raw, "read", total=file_size, desc="", colour="#a351fb"
|
||||
) as raw_resp:
|
||||
with folder_path.open("wb") as file:
|
||||
copyfileobj(raw_resp, file)
|
||||
|
||||
elif Path(filename).exists():
|
||||
if not is_md5_hash_matching(filename, VIDEO_ASSETS[filename][1]):
|
||||
print("File corrupted. Re-downloading... \n")
|
||||
os.remove(filename)
|
||||
return download_assets(filename)
|
||||
|
||||
print(f"{filename} asset download complete. \n")
|
||||
|
||||
else:
|
||||
valid_assets = ", ".join(asset.value for asset in VideoAssets)
|
||||
raise ValueError(
|
||||
f"Invalid asset. It should be one of the following: {valid_assets}."
|
||||
)
|
||||
|
||||
return filename
|
||||
@@ -0,0 +1,65 @@
|
||||
from enum import Enum
|
||||
from typing import Dict, Tuple
|
||||
|
||||
BASE_VIDEO_URL = "https://media.roboflow.com/supervision/video-examples/"
|
||||
|
||||
|
||||
class VideoAssets(Enum):
|
||||
"""
|
||||
Each member of this enum represents a video asset. The value associated with each
|
||||
member is the filename of the video.
|
||||
|
||||
| Enum Member | Video Filename | Video URL |
|
||||
|------------------------|----------------------------|---------------------------------------------------------------------------------------|
|
||||
| `VEHICLES` | `vehicles.mp4` | [Link](https://media.roboflow.com/supervision/video-examples/vehicles.mp4) |
|
||||
| `MILK_BOTTLING_PLANT` | `milk-bottling-plant.mp4` | [Link](https://media.roboflow.com/supervision/video-examples/milk-bottling-plant.mp4) |
|
||||
| `VEHICLES_2` | `vehicles-2.mp4` | [Link](https://media.roboflow.com/supervision/video-examples/vehicles-2.mp4) |
|
||||
| `GROCERY_STORE` | `grocery-store.mp4` | [Link](https://media.roboflow.com/supervision/video-examples/grocery-store.mp4) |
|
||||
| `SUBWAY` | `subway.mp4` | [Link](https://media.roboflow.com/supervision/video-examples/subway.mp4) |
|
||||
| `MARKET_SQUARE` | `market-square.mp4` | [Link](https://media.roboflow.com/supervision/video-examples/market-square.mp4) |
|
||||
| `PEOPLE_WALKING` | `people-walking.mp4` | [Link](https://media.roboflow.com/supervision/video-examples/people-walking.mp4) |
|
||||
"""
|
||||
|
||||
VEHICLES = "vehicles.mp4"
|
||||
MILK_BOTTLING_PLANT = "milk-bottling-plant.mp4"
|
||||
VEHICLES_2 = "vehicles-2.mp4"
|
||||
GROCERY_STORE = "grocery-store.mp4"
|
||||
SUBWAY = "subway.mp4"
|
||||
MARKET_SQUARE = "market-square.mp4"
|
||||
PEOPLE_WALKING = "people-walking.mp4"
|
||||
|
||||
@classmethod
|
||||
def list(cls):
|
||||
return list(map(lambda c: c.value, cls))
|
||||
|
||||
|
||||
VIDEO_ASSETS: Dict[str, Tuple[str, str]] = {
|
||||
VideoAssets.VEHICLES.value: (
|
||||
f"{BASE_VIDEO_URL}{VideoAssets.VEHICLES.value}",
|
||||
"8155ff4e4de08cfa25f39de96483f918",
|
||||
),
|
||||
VideoAssets.VEHICLES_2.value: (
|
||||
f"{BASE_VIDEO_URL}{VideoAssets.VEHICLES_2.value}",
|
||||
"830af6fba21ffbf14867a7fea595937b",
|
||||
),
|
||||
VideoAssets.MILK_BOTTLING_PLANT.value: (
|
||||
f"{BASE_VIDEO_URL}{VideoAssets.MILK_BOTTLING_PLANT.value}",
|
||||
"9e8fb6e883f842a38b3d34267290bdc7",
|
||||
),
|
||||
VideoAssets.GROCERY_STORE.value: (
|
||||
f"{BASE_VIDEO_URL}{VideoAssets.GROCERY_STORE.value}",
|
||||
"11402e7b861c1980527d3d74cbe3b366",
|
||||
),
|
||||
VideoAssets.SUBWAY.value: (
|
||||
f"{BASE_VIDEO_URL}{VideoAssets.SUBWAY.value}",
|
||||
"453475750691fb23c56a0cffef089194",
|
||||
),
|
||||
VideoAssets.MARKET_SQUARE.value: (
|
||||
f"{BASE_VIDEO_URL}{VideoAssets.MARKET_SQUARE.value}",
|
||||
"859179bf4a21f80a8baabfdb2ed716dc",
|
||||
),
|
||||
VideoAssets.PEOPLE_WALKING.value: (
|
||||
f"{BASE_VIDEO_URL}{VideoAssets.PEOPLE_WALKING.value}",
|
||||
"0574c053c8686c3f1dc0aa3743e45cb9",
|
||||
),
|
||||
}
|
||||
Reference in New Issue
Block a user