Merge pull request #627 from roboflow/develop

`supervision-0.17.0` release
Update Supervision package to version 0.17.0
2023-12-06 15:50:31 +01:00 · 2023-12-06 15:48:03 +01:00 · 2023-12-06 15:26:04 +01:00 · 2023-12-06 14:37:45 +01:00 · 2023-12-06 14:03:34 +01:00 · 2023-12-06 14:01:42 +01:00
12 changed files with 425 additions and 45 deletions
@@ -8,7 +8,7 @@ idna==3.4
 iniconfig==2.0.0
 kiwisolver==1.4.5
 matplotlib==3.5.0
-numpy==1.24.4
+numpy==1.21.2
 opencv-python==4.5.5.64
 packaging==23.2
 Pillow==10.1.0
@@ -34,7 +34,7 @@ Pip install the supervision package in a
 [**3.11>=Python>=3.8**](https://www.python.org/) environment.

 ```bash
-pip install supervision[desktop]
+pip install supervision
 ```

 Read more about desktop, headless, and local installation in our [guide](https://roboflow.github.io/supervision/).
@@ -40,7 +40,7 @@

    </div>

-=== "BoxMask"
+=== "Color"

    ```python
    >>> import supervision as sv
@@ -48,8 +48,8 @@
    >>> image = ...
    >>> detections = sv.Detections(...)

-    >>> box_mask_annotator = sv.BoxMaskAnnotator()
-    >>> annotated_frame = box_mask_annotator.annotate(
+    >>> color_annotator = sv.ColorAnnotator()
+    >>> annotated_frame = color_annotator.annotate(
    ...     scene=image.copy(),
    ...     detections=detections
    ... )
@@ -103,6 +103,27 @@

    </div>

+=== "Triangle"
+
+    ```python
+    >>> import supervision as sv
+
+    >>> image = ...
+    >>> detections = sv.Detections(...)
+
+    >>> triangle_annotator = sv.TriangleAnnotator()
+    >>> annotated_frame = triangle_annotator.annotate(
+    ...     scene=image.copy(),
+    ...     detections=detections
+    ... )
+    ```
+
+    <div class="result" markdown>
+
+    ![triangle-annotator-example](https://media.roboflow.com/supervision-annotator-examples/triangle-annotator-example.png){ align=center width="800" }
+
+    </div>
+
 === "Ellipse"

    ```python
@@ -318,9 +339,9 @@

 :::supervision.annotators.core.BoxCornerAnnotator

-## BoxMaskAnnotator
+## ColorAnnotator

-:::supervision.annotators.core.BoxMaskAnnotator
+:::supervision.annotators.core.ColorAnnotator

 ## CircleAnnotator

@@ -330,6 +351,10 @@

 :::supervision.annotators.core.DotAnnotator

+## TriangleAnnotator
+
+:::supervision.annotators.core.TriangleAnnotator
+
 ## EllipseAnnotator

 :::supervision.annotators.core.EllipseAnnotator
@@ -1,3 +1,56 @@
+### 0.17.0 <small>December 06, 2023</small>
+
+- Added [#633](https://github.com/roboflow/supervision/pull/633): [`sv.PixelateAnnotator`](https://supervision.roboflow.com/annotators/#supervision.annotators.core.PixelateAnnotator) allowing to pixelate objects on images and videos.
+
+- Added [#652](https://github.com/roboflow/supervision/pull/652): [`sv.TriangleAnnotator`](https://supervision.roboflow.com/annotators/#supervision.annotators.core.TriangleAnnotator) allowing to annotate images and videos with triangle markers.
+
+- Added [#602](https://github.com/roboflow/supervision/pull/602): [`sv.PolygonAnnotator`](https://supervision.roboflow.com/annotators/#supervision.annotators.core.PolygonAnnotator) allowing to annotate images and videos with segmentation mask outline.
+
+```python
+>>> import supervision as sv
+
+>>> image = ...
+>>> detections = sv.Detections(...)
+
+>>> polygon_annotator = sv.PolygonAnnotator()
+>>> annotated_frame = polygon_annotator.annotate(
+...     scene=image.copy(),
+...     detections=detections
+... )
+```
+
+- Added [#476](https://github.com/roboflow/supervision/pull/476): [`sv.assets`](https://supervision.roboflow.com/assets/) allowing download of video files that you can use in your demos.
+
+```python
+>>> from supervision.assets import download_assets, VideoAssets
+>>> download_assets(VideoAssets.VEHICLES)
+"vehicles.mp4"
+```
+
+- Added [#605](https://github.com/roboflow/supervision/pull/605): [`Position.CENTER_OF_MASS`](https://supervision.roboflow.com/geometry/core/#position) allowing to place labels in center of mass of segmentation masks.
+
+- Added [#651](https://github.com/roboflow/supervision/pull/651): [`sv.scale_boxes`](https://supervision.roboflow.com/detection/utils/#supervision.detection.utils.scale_boxes) allowing to scale [`sv.Detections.xyxy`](https://supervision.roboflow.com/detection/core/#supervision.detection.core.Detections) values.
+
+- Added [#637](https://github.com/roboflow/supervision/pull/637): [`sv.calculate_dynamic_text_scale`](https://supervision.roboflow.com/draw/utils/#supervision.draw.utils.calculate_dynamic_text_scale) and [`sv.calculate_dynamic_line_thickness`](https://supervision.roboflow.com/draw/utils/#supervision.draw.utils.calculate_dynamic_line_thickness) allowing text scale and line thickness to match image resolution.
+
+- Added [#620](https://github.com/roboflow/supervision/pull/620): [`sv.Color.as_hex`](https://supervision.roboflow.com/draw/color/#supervision.draw.color.Color.as_hex) allowing to extract color value in HEX format.
+
+- Added [#572](https://github.com/roboflow/supervision/pull/572): [`sv.Classifications.from_timm`](https://supervision.roboflow.com/classification/core/#supervision.classification.core.Classifications.from_timm) allowing to load classification result from [timm](https://huggingface.co/docs/hub/timm) models.
+
+- Added [#478](https://github.com/roboflow/supervision/pull/478): [`sv.Classifications.from_clip`](https://supervision.roboflow.com/classification/core/#supervision.classification.core.Classifications.from_clip) allowing to load classification result from [clip](https://github.com/openai/clip) model.
+
+- Added [#571](https://github.com/roboflow/supervision/pull/571): [`sv.Detections.from_azure_analyze_image`](https://supervision.roboflow.com/detection/core/#supervision.detection.core.Detections.from_azure_analyze_image) allowing to load detection results from [Azure Image Analysis](https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-object-detection-40).
+
+- Changed [#646](https://github.com/roboflow/supervision/pull/646): `sv.BoxMaskAnnotator` renaming it to [`sv.ColorAnnotator`](https://supervision.roboflow.com/annotators/#supervision.annotators.core.ColorAnnotator).
+
+- Changed [#606](https://github.com/roboflow/supervision/pull/606): [`sv.MaskAnnotator`](https://supervision.roboflow.com/annotators/#supervision.annotators.core.MaskAnnotator) to make it **5x faster**.
+
+- Fixed [#584](https://github.com/roboflow/supervision/pull/584): [`sv.DetectionDataset.from_yolo`](https://supervision.roboflow.com/datasets/#supervision.dataset.core.DetectionDataset.from_yolo) to ignore empty lines in annotation files.
+
+- Fixed [#555](https://github.com/roboflow/supervision/pull/555): [`sv.BlurAnnotator`](https://supervision.roboflow.com/annotators/#supervision.annotators.core.BlurAnnotator) to trim negative coordinates before bluring detections.
+
+- Fixed [#511](https://github.com/roboflow/supervision/pull/511): [`sv.TraceAnnotator`](https://supervision.roboflow.com/annotators/#supervision.annotators.core.TraceAnnotator) to respect trace position.
+
 ### 0.16.0 <small>October 19, 2023</small>

 - Added [#422](https://github.com/roboflow/supervision/pull/422): [`sv.BoxMaskAnnotator`](https://supervision.roboflow.com/annotators/#supervision.annotators.core.BoxMaskAnnotator) allowing to annotate images and videos with mox masks.
@@ -25,3 +25,11 @@
 ## filter_polygons_by_area

 :::supervision.detection.utils.filter_polygons_by_area
+
+## move_boxes
+
+:::supervision.detection.utils.move_boxes
+
+## scale_boxes
+
+:::supervision.detection.utils.scale_boxes
@@ -1630,6 +1630,16 @@ files = [
    {file = "MarkupSafe-2.1.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5bbe06f8eeafd38e5d0a4894ffec89378b6c6a625ff57e3028921f8ff59318ac"},
    {file = "MarkupSafe-2.1.3-cp311-cp311-win32.whl", hash = "sha256:dd15ff04ffd7e05ffcb7fe79f1b98041b8ea30ae9234aed2a9168b5797c3effb"},
    {file = "MarkupSafe-2.1.3-cp311-cp311-win_amd64.whl", hash = "sha256:134da1eca9ec0ae528110ccc9e48041e0828d79f24121a1a146161103c76e686"},
+    {file = "MarkupSafe-2.1.3-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:f698de3fd0c4e6972b92290a45bd9b1536bffe8c6759c62471efaa8acb4c37bc"},
+    {file = "MarkupSafe-2.1.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:aa57bd9cf8ae831a362185ee444e15a93ecb2e344c8e52e4d721ea3ab6ef1823"},
+    {file = "MarkupSafe-2.1.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11"},
+    {file = "MarkupSafe-2.1.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47d4f1c5f80fc62fdd7777d0d40a2e9dda0a05883ab11374334f6c4de38adffd"},
+    {file = "MarkupSafe-2.1.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1f67c7038d560d92149c060157d623c542173016c4babc0c1913cca0564b9939"},
+    {file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:9aad3c1755095ce347e26488214ef77e0485a3c34a50c5a5e2471dff60b9dd9c"},
+    {file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:14ff806850827afd6b07a5f32bd917fb7f45b046ba40c57abdb636674a8b559c"},
+    {file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8f9293864fe09b8149f0cc42ce56e3f0e54de883a9de90cd427f191c346eb2e1"},
+    {file = "MarkupSafe-2.1.3-cp312-cp312-win32.whl", hash = "sha256:715d3562f79d540f251b99ebd6d8baa547118974341db04f5ad06d5ea3eb8007"},
+    {file = "MarkupSafe-2.1.3-cp312-cp312-win_amd64.whl", hash = "sha256:1b8dd8c3fd14349433c79fa8abeb573a55fc0fdd769133baac1f5e07abf54aeb"},
    {file = "MarkupSafe-2.1.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:8e254ae696c88d98da6555f5ace2279cf7cd5b3f52be2b5cf97feafe883b58d2"},
    {file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cb0932dc158471523c9637e807d9bfb93e06a95cbf010f1a38b98623b929ef2b"},
    {file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9402b03f1a1b4dc4c19845e5c749e3ab82d5078d16a2a4c2cd2df62d57bb0707"},
@@ -2775,6 +2785,7 @@ 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"},
@@ -2782,8 +2793,15 @@ 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_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"},
@@ -2800,6 +2818,7 @@ 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"},
@@ -2807,6 +2826,7 @@ 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"},
@@ -3265,28 +3285,28 @@ files = [

 [[package]]
 name = "ruff"
-version = "0.1.6"
+version = "0.1.7"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "ruff-0.1.6-py3-none-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:88b8cdf6abf98130991cbc9f6438f35f6e8d41a02622cc5ee130a02a0ed28703"},
-    {file = "ruff-0.1.6-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:5c549ed437680b6105a1299d2cd30e4964211606eeb48a0ff7a93ef70b902248"},
-    {file = "ruff-0.1.6-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1cf5f701062e294f2167e66d11b092bba7af6a057668ed618a9253e1e90cfd76"},
-    {file = "ruff-0.1.6-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:05991ee20d4ac4bb78385360c684e4b417edd971030ab12a4fbd075ff535050e"},
-    {file = "ruff-0.1.6-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:87455a0c1f739b3c069e2f4c43b66479a54dea0276dd5d4d67b091265f6fd1dc"},
-    {file = "ruff-0.1.6-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:683aa5bdda5a48cb8266fcde8eea2a6af4e5700a392c56ea5fb5f0d4bfdc0240"},
-    {file = "ruff-0.1.6-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:137852105586dcbf80c1717facb6781555c4e99f520c9c827bd414fac67ddfb6"},
-    {file = "ruff-0.1.6-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:bd98138a98d48a1c36c394fd6b84cd943ac92a08278aa8ac8c0fdefcf7138f35"},
-    {file = "ruff-0.1.6-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3a0cd909d25f227ac5c36d4e7e681577275fb74ba3b11d288aff7ec47e3ae745"},
-    {file = "ruff-0.1.6-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:e8fd1c62a47aa88a02707b5dd20c5ff20d035d634aa74826b42a1da77861b5ff"},
-    {file = "ruff-0.1.6-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:fd89b45d374935829134a082617954120d7a1470a9f0ec0e7f3ead983edc48cc"},
-    {file = "ruff-0.1.6-py3-none-musllinux_1_2_i686.whl", hash = "sha256:491262006e92f825b145cd1e52948073c56560243b55fb3b4ecb142f6f0e9543"},
-    {file = "ruff-0.1.6-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:ea284789861b8b5ca9d5443591a92a397ac183d4351882ab52f6296b4fdd5462"},
-    {file = "ruff-0.1.6-py3-none-win32.whl", hash = "sha256:1610e14750826dfc207ccbcdd7331b6bd285607d4181df9c1c6ae26646d6848a"},
-    {file = "ruff-0.1.6-py3-none-win_amd64.whl", hash = "sha256:4558b3e178145491e9bc3b2ee3c4b42f19d19384eaa5c59d10acf6e8f8b57e33"},
-    {file = "ruff-0.1.6-py3-none-win_arm64.whl", hash = "sha256:03910e81df0d8db0e30050725a5802441c2022ea3ae4fe0609b76081731accbc"},
-    {file = "ruff-0.1.6.tar.gz", hash = "sha256:1b09f29b16c6ead5ea6b097ef2764b42372aebe363722f1605ecbcd2b9207184"},
+    {file = "ruff-0.1.7-py3-none-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:7f80496854fdc65b6659c271d2c26e90d4d401e6a4a31908e7e334fab4645aac"},
+    {file = "ruff-0.1.7-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:1ea109bdb23c2a4413f397ebd8ac32cb498bee234d4191ae1a310af760e5d287"},
+    {file = "ruff-0.1.7-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8b0c2de9dd9daf5e07624c24add25c3a490dbf74b0e9bca4145c632457b3b42a"},
+    {file = "ruff-0.1.7-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:69a4bed13bc1d5dabf3902522b5a2aadfebe28226c6269694283c3b0cecb45fd"},
+    {file = "ruff-0.1.7-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:de02ca331f2143195a712983a57137c5ec0f10acc4aa81f7c1f86519e52b92a1"},
+    {file = "ruff-0.1.7-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:45b38c3f8788a65e6a2cab02e0f7adfa88872696839d9882c13b7e2f35d64c5f"},
+    {file = "ruff-0.1.7-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6c64cb67b2025b1ac6d58e5ffca8f7b3f7fd921f35e78198411237e4f0db8e73"},
+    {file = "ruff-0.1.7-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9dcc6bb2f4df59cb5b4b40ff14be7d57012179d69c6565c1da0d1f013d29951b"},
+    {file = "ruff-0.1.7-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:df2bb4bb6bbe921f6b4f5b6fdd8d8468c940731cb9406f274ae8c5ed7a78c478"},
+    {file = "ruff-0.1.7-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:276a89bcb149b3d8c1b11d91aa81898fe698900ed553a08129b38d9d6570e717"},
+    {file = "ruff-0.1.7-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:90c958fe950735041f1c80d21b42184f1072cc3975d05e736e8d66fc377119ea"},
+    {file = "ruff-0.1.7-py3-none-musllinux_1_2_i686.whl", hash = "sha256:6b05e3b123f93bb4146a761b7a7d57af8cb7384ccb2502d29d736eaade0db519"},
+    {file = "ruff-0.1.7-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:290ecab680dce94affebefe0bbca2322a6277e83d4f29234627e0f8f6b4fa9ce"},
+    {file = "ruff-0.1.7-py3-none-win32.whl", hash = "sha256:416dfd0bd45d1a2baa3b1b07b1b9758e7d993c256d3e51dc6e03a5e7901c7d80"},
+    {file = "ruff-0.1.7-py3-none-win_amd64.whl", hash = "sha256:4af95fd1d3b001fc41325064336db36e3d27d2004cdb6d21fd617d45a172dd96"},
+    {file = "ruff-0.1.7-py3-none-win_arm64.whl", hash = "sha256:0683b7bfbb95e6df3c7c04fe9d78f631f8e8ba4868dfc932d43d690698057e2e"},
+    {file = "ruff-0.1.7.tar.gz", hash = "sha256:dffd699d07abf54833e5f6cc50b85a6ff043715da8788c4a79bcd4ab4734d306"},
 ]

 [[package]]
@@ -3741,13 +3761,13 @@ test = ["websockets"]

 [[package]]
 name = "wheel"
-version = "0.41.3"
+version = "0.42.0"
 description = "A built-package format for Python"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "wheel-0.41.3-py3-none-any.whl", hash = "sha256:488609bc63a29322326e05560731bf7bfea8e48ad646e1f5e40d366607de0942"},
-    {file = "wheel-0.41.3.tar.gz", hash = "sha256:4d4987ce51a49370ea65c0bfd2234e8ce80a12780820d9dc462597a6e60d0841"},
+    {file = "wheel-0.42.0-py3-none-any.whl", hash = "sha256:177f9c9b0d45c47873b619f5b650346d632cdc35fb5e4d25058e09c9e581433d"},
+    {file = "wheel-0.42.0.tar.gz", hash = "sha256:c45be39f7882c9d34243236f2d63cbd58039e360f85d0913425fbd7ceea617a8"},
 ]

 [package.extras]
@@ -3775,4 +3795,4 @@ desktop = ["opencv-python"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8,<3.12.0"
-content-hash = "abbd8c3b0bbed2349aa2ba8f4a822ab44d1092ea8b60118dc83fe11737e4ca12"
+content-hash = "62ad5b29a089dde783bbbe3f0df6ed314c602f7ae329bb2623f52b61d5d83e37"
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "supervision"
-version = "0.17.0rc7"
+version = "0.17.0"
 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>"]
@@ -36,10 +36,10 @@ classifiers=[

 [tool.poetry.dependencies]
 python = ">=3.8,<3.12.0"
-numpy = ">=1.24.0,>=1.26.1"
-matplotlib = ">=3.5.0,>=3.8.1"
+numpy = ">=1.21.2"
+matplotlib = ">=3.5.0"
 pyyaml = ">=5.3,<=6.0.1"
-pillow = ">=9.4,<=10.1.0"
+pillow = ">=9.4"
 opencv-python = { version = ">=4.5.5.64,<=4.8.1.78", optional = true }
 opencv-python-headless = ">=4.5.5.64,<=4.8.1.78"
 scipy = ">=1.9.0,<=2.0.0"
@@ -54,10 +54,10 @@ assets = ["requests","tqdm"]
 [tool.poetry.group.dev.dependencies]
 twine = "^4.0.2"
 pytest = "^7.2.2"
-wheel = ">=0.40,<0.42"
+wheel = ">=0.40,<0.43"
 notebook = ">=6.5.3,<8.0.0"
 build = ">=0.10,<1.1"
-ruff = ">=0.0.280,<0.1.7"
+ruff = ">=0.0.280,<0.1.8"
 isort = "^5.12.0"
 black = "^23.7.0"
 mypy = "^1.4.1"
@@ -10,8 +10,8 @@ from supervision.annotators.core import (
    BlurAnnotator,
    BoundingBoxAnnotator,
    BoxCornerAnnotator,
-    BoxMaskAnnotator,
    CircleAnnotator,
+    ColorAnnotator,
    DotAnnotator,
    EllipseAnnotator,
    HaloAnnotator,
@@ -21,6 +21,7 @@ from supervision.annotators.core import (
    PixelateAnnotator,
    PolygonAnnotator,
    TraceAnnotator,
+    TriangleAnnotator,
 )
 from supervision.annotators.utils import ColorLookup
 from supervision.classification.core import Classifications
@@ -40,9 +41,11 @@ from supervision.detection.utils import (
    filter_polygons_by_area,
    mask_to_polygons,
    mask_to_xyxy,
+    move_boxes,
    non_max_suppression,
    polygon_to_mask,
    polygon_to_xyxy,
+    scale_boxes,
 )
 from supervision.draw.color import Color, ColorPalette
 from supervision.draw.utils import (
@@ -260,7 +260,7 @@ class PolygonAnnotator(BaseAnnotator):
        return scene


-class BoxMaskAnnotator(BaseAnnotator):
+class ColorAnnotator(BaseAnnotator):
    """
    A class for drawing box masks on an image using provided detections.
    """
@@ -308,8 +308,8 @@ class BoxMaskAnnotator(BaseAnnotator):
            >>> image = ...
            >>> detections = sv.Detections(...)

-            >>> box_mask_annotator = sv.BoxMaskAnnotator()
-            >>> annotated_frame = box_mask_annotator.annotate(
+            >>> color_annotator = sv.ColorAnnotator()
+            >>> annotated_frame = color_annotator.annotate(
            ...     scene=image.copy(),
            ...     detections=detections
            ... )
@@ -1030,8 +1030,7 @@ class TraceAnnotator:
                Options are `INDEX`, `CLASS`, `TRACK`.
        """
        self.color: Union[Color, ColorPalette] = color
-        self.position = position
-        self.trace = Trace(max_size=trace_length)
+        self.trace = Trace(max_size=trace_length, anchor=position)
        self.thickness = thickness
        self.color_lookup: ColorLookup = color_lookup

@@ -1263,3 +1262,93 @@ class PixelateAnnotator(BaseAnnotator):
            scene[y1:y2, x1:x2] = scaled_down_roi

        return scene
+
+
+class TriangleAnnotator(BaseAnnotator):
+    """
+    A class for drawing triangle markers on an image at specific coordinates based on
+    provided detections.
+    """
+
+    def __init__(
+        self,
+        color: Union[Color, ColorPalette] = ColorPalette.default(),
+        base: int = 10,
+        height: int = 10,
+        position: Position = Position.TOP_CENTER,
+        color_lookup: ColorLookup = ColorLookup.CLASS,
+    ):
+        """
+        Args:
+            color (Union[Color, ColorPalette]): The color or color palette to use for
+                annotating detections.
+            base (int): The base width of the triangle.
+            height (int): The height of the triangle.
+            position (Position): The anchor position for placing the triangle.
+            color_lookup (ColorLookup): Strategy for mapping colors to annotations.
+                Options are `INDEX`, `CLASS`, `TRACK`.
+        """
+        self.color: Union[Color, ColorPalette] = color
+        self.base: int = base
+        self.height: int = height
+        self.position: Position = position
+        self.color_lookup: ColorLookup = color_lookup
+
+    def annotate(
+        self,
+        scene: np.ndarray,
+        detections: Detections,
+        custom_color_lookup: Optional[np.ndarray] = None,
+    ) -> np.ndarray:
+        """
+        Annotates the given scene with triangles based on the provided detections.
+
+        Args:
+            scene (np.ndarray): The image where triangles will be drawn.
+            detections (Detections): Object detections to annotate.
+            custom_color_lookup (Optional[np.ndarray]): Custom color lookup array.
+                Allows to override the default color mapping strategy.
+
+        Returns:
+            np.ndarray: The annotated image.
+
+        Example:
+            ```python
+            >>> import supervision as sv
+
+            >>> image = ...
+            >>> detections = sv.Detections(...)
+
+            >>> triangle_annotator = sv.TriangleAnnotator()
+            >>> annotated_frame = triangle_annotator.annotate(
+            ...     scene=image.copy(),
+            ...     detections=detections
+            ... )
+            ```
+
+        ![triangle-annotator-example](https://media.roboflow.com/
+        supervision-annotator-examples/triangle-annotator-example.png)
+        """
+        xy = detections.get_anchors_coordinates(anchor=self.position)
+        for detection_idx in range(len(detections)):
+            color = resolve_color(
+                color=self.color,
+                detections=detections,
+                detection_idx=detection_idx,
+                color_lookup=self.color_lookup
+                if custom_color_lookup is None
+                else custom_color_lookup,
+            )
+            tip_x, tip_y = int(xy[detection_idx, 0]), int(xy[detection_idx, 1])
+            vertices = np.array(
+                [
+                    [tip_x - self.base // 2, tip_y - self.height],
+                    [tip_x + self.base // 2, tip_y - self.height],
+                    [tip_x, tip_y],
+                ],
+                np.int32,
+            )
+
+            cv2.fillPoly(scene, [vertices], color.as_bgr())
+
+        return scene
@@ -1,7 +1,7 @@
 from __future__ import annotations

 from dataclasses import astuple, dataclass
-from typing import Any, Iterator, List, Optional, Tuple, Union
+from typing import Any, Dict, Iterator, List, Optional, Tuple, Union

 import numpy as np

@@ -64,6 +64,7 @@ def _validate_tracker_id(tracker_id: Any, n: int) -> None:
 class Detections:
    """
    Data class containing information about the detections in a video frame.
+
    Attributes:
        xyxy (np.ndarray): An array of shape `(n, 4)` containing
            the bounding boxes coordinates in format `[x1, y1, x2, y2]`
@@ -461,7 +462,7 @@ class Detections:
            >>> from segment_anything import (
            ...     sam_model_registry,
            ...     SamAutomaticMaskGenerator
-            ...     )
+            ... )

            >>> sam_model_reg = sam_model_registry[MODEL_TYPE]
            >>> sam = sam_model_reg(checkpoint=CHECKPOINT_PATH).to(device=DEVICE)
@@ -484,6 +485,93 @@ class Detections:
        xyxy = xywh_to_xyxy(boxes_xywh=xywh)
        return cls(xyxy=xyxy, mask=mask)

+    @classmethod
+    def from_azure_analyze_image(
+        cls, azure_result: dict, class_map: Optional[Dict[int, str]] = None
+    ) -> Detections:
+        """
+        Creates a Detections instance from [Azure Image Analysis 4.0](
+        https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/
+        concept-object-detection-40).
+
+        Args:
+            azure_result (dict): The result from Azure Image Analysis. It should
+                contain detected objects and their bounding box coordinates.
+            class_map (Optional[Dict[int, str]]): A mapping ofclass IDs (int) to class
+                names (str). If None, a new mapping is created dynamically.
+
+        Returns:
+            Detections: A new Detections object.
+
+        Example:
+            ```python
+            >>> import requests
+            >>> import supervision as sv
+
+            >>> image = open(input, "rb").read()
+
+            >>> endpoint = "https://.cognitiveservices.azure.com/"
+            >>> subscription_key = "..."
+
+            >>> headers = {
+            ...    "Content-Type": "application/octet-stream",
+            ...    "Ocp-Apim-Subscription-Key": subscription_key
+            ... }
+
+            >>> response = requests.post(endpoint,
+            ...     headers=self.headers,
+            ...     data=image
+            ... ).json()
+
+            >>> detections = sv.Detections.from_azure_analyze_image(response)
+            ```
+        """
+        if "error" in azure_result:
+            raise ValueError(
+                f'Azure API returned an error {azure_result["error"]["message"]}'
+            )
+
+        xyxy, confidences, class_ids = [], [], []
+
+        is_dynamic_mapping = class_map is None
+        if is_dynamic_mapping:
+            class_map = {}
+
+        class_map = {value: key for key, value in class_map.items()}
+
+        for detection in azure_result["objectsResult"]["values"]:
+            bbox = detection["boundingBox"]
+
+            tags = detection["tags"]
+
+            x0 = bbox["x"]
+            y0 = bbox["y"]
+            x1 = x0 + bbox["w"]
+            y1 = y0 + bbox["h"]
+
+            for tag in tags:
+                confidence = tag["confidence"]
+                class_name = tag["name"]
+                class_id = class_map.get(class_name, None)
+
+                if is_dynamic_mapping and class_id is None:
+                    class_id = len(class_map)
+                    class_map[class_name] = class_id
+
+                if class_id is not None:
+                    xyxy.append([x0, y0, x1, y1])
+                    confidences.append(confidence)
+                    class_ids.append(class_id)
+
+        if len(xyxy) == 0:
+            return Detections.empty()
+
+        return cls(
+            xyxy=np.array(xyxy),
+            class_id=np.array(class_ids),
+            confidence=np.array(confidences),
+        )
+
    @classmethod
    def from_paddledet(cls, paddledet_result) -> Detections:
        """
@@ -383,18 +383,65 @@ def process_roboflow_result(

 def move_boxes(xyxy: np.ndarray, offset: np.ndarray) -> np.ndarray:
    """
-    Args:
+    Parameters:
        xyxy (np.ndarray): An array of shape `(n, 4)` containing the bounding boxes
            coordinates in format `[x1, y1, x2, y2]`
        offset (np.array): An array of shape `(2,)` containing offset values in format
            is `[dx, dy]`.

    Returns:
-        (np.ndarray) repositioned bounding boxes
+        np.ndarray: Repositioned bounding boxes.
+
+    Example:
+        ```python
+        >>> import numpy as np
+        >>> import supervision as sv
+
+        >>> boxes = np.array([[10, 10, 20, 20], [30, 30, 40, 40]])
+        >>> offset = np.array([5, 5])
+        >>> sv.move_boxes(boxes, offset)
+        ... array([
+        ...     [15, 15, 25, 25],
+        ...     [35, 35, 45, 45]
+        ... ])
+        ```
    """
    return xyxy + np.hstack([offset, offset])


+def scale_boxes(xyxy: np.ndarray, factor: float) -> np.ndarray:
+    """
+    Scale the dimensions of bounding boxes.
+
+    Parameters:
+        xyxy (np.ndarray): An array of shape `(n, 4)` containing the bounding boxes
+            coordinates in format `[x1, y1, x2, y2]`
+        factor (float): A float value representing the factor by which the box
+            dimensions are scaled. A factor greater than 1 enlarges the boxes, while a
+            factor less than 1 shrinks them.
+
+    Returns:
+        np.ndarray: Scaled bounding boxes.
+
+    Example:
+        ```python
+        >>> import numpy as np
+        >>> import supervision as sv
+
+        >>> boxes = np.array([[10, 10, 20, 20], [30, 30, 40, 40]])
+        >>> factor = 1.5
+        >>> sv.scale_boxes(boxes, factor)
+        ... array([
+        ...     [ 7.5,  7.5, 22.5, 22.5],
+        ...     [27.5, 27.5, 42.5, 42.5]
+        ... ])
+        ```
+    """
+    centers = (xyxy[:, :2] + xyxy[:, 2:]) / 2
+    new_sizes = (xyxy[:, 2:] - xyxy[:, :2]) * factor
+    return np.concatenate((centers - new_sizes / 2, centers + new_sizes / 2), axis=1)
+
+
 def calculate_masks_centroids(masks: np.ndarray) -> np.ndarray:
    """
    Calculate the centroids of binary masks in a tensor.
@@ -11,6 +11,7 @@ from supervision.detection.utils import (
    move_boxes,
    non_max_suppression,
    process_roboflow_result,
+    scale_boxes,
 )

 TEST_MASK = np.zeros((1, 1000, 1000), dtype=bool)
@@ -504,6 +505,52 @@ def test_move_boxes(
        assert np.array_equal(result, expected_result)


+@pytest.mark.parametrize(
+    "xyxy, factor, expected_result, exception",
+    [
+        (
+            np.empty(shape=(0, 4)),
+            2.0,
+            np.empty(shape=(0, 4)),
+            DoesNotRaise(),
+        ),  # empty xyxy array
+        (
+            np.array([[0, 0, 10, 10]]),
+            1.0,
+            np.array([[0, 0, 10, 10]]),
+            DoesNotRaise(),
+        ),  # single box with factor equal to 1.0
+        (
+            np.array([[0, 0, 10, 10]]),
+            2.0,
+            np.array([[-5, -5, 15, 15]]),
+            DoesNotRaise(),
+        ),  # single box with factor equal to 2.0
+        (
+            np.array([[0, 0, 10, 10]]),
+            0.5,
+            np.array([[2.5, 2.5, 7.5, 7.5]]),
+            DoesNotRaise(),
+        ),  # single box with factor equal to 0.5
+        (
+            np.array([[0, 0, 10, 10], [10, 10, 30, 30]]),
+            2.0,
+            np.array([[-5, -5, 15, 15], [0, 0, 40, 40]]),
+            DoesNotRaise(),
+        ),  # two boxes with factor equal to 2.0
+    ],
+)
+def test_scale_boxes(
+    xyxy: np.ndarray,
+    factor: float,
+    expected_result: np.ndarray,
+    exception: Exception,
+) -> None:
+    with exception:
+        result = scale_boxes(xyxy=xyxy, factor=factor)
+        assert np.array_equal(result, expected_result)
+
+
@pytest.mark.parametrize(
    "masks, expected_result, exception",
    [
Author	SHA1	Message	Date
Piotr Skalski	36ab9dcb8e	Merge pull request #627 from roboflow/develop `supervision-0.17.0` release	2023-12-06 15:50:31 +01:00
SkalskiP	01d6c5386a	Update Supervision package to version 0.17.0 The package version has been updated from 0.17.0rc8 to 0.17.0. Alongside the version, the changelog has also been updated to reflect the newly introduced or modified features, improvements in existing features, and bug fixes.	2023-12-06 15:48:03 +01:00
SkalskiP	7a1863835b	Refactor Detections function's docstrings in core.py	2023-12-06 15:26:04 +01:00
Piotr Skalski	fb66e57103	Update README.md	2023-12-06 14:37:45 +01:00
SkalskiP	b87e07a06b	Bump version to `0.17.0rc8` The version of the supervision package in pyproject.toml has been updated from `0.17.0rc7` to `0.17.0rc8`.	2023-12-06 14:03:34 +01:00
Piotr Skalski	ba79dba26e	Merge pull request #652 from roboflow/feature/add_triangle_annotator Add `TriangleAnnotator` to annotators	2023-12-06 14:01:42 +01:00
SkalskiP	721935144b	Merge remote-tracking branch 'origin/feature/add_triangle_annotator' into feature/add_triangle_annotator	2023-12-06 13:59:14 +01:00
SkalskiP	26ad007b7c	Add TriangleAnnotator example to documentation	2023-12-06 13:59:05 +01:00
pre-commit-ci[bot]	c46ff15143	fix(pre_commit): 🎨 auto format pre-commit hooks	2023-12-06 12:52:06 +00:00
SkalskiP	f73829e941	The function was initially determining the center point of the triangle, which did not align with the desired annotation style. The changes now ensure that 'xy' refers to the coordinate of the triangle's tip instead of its center.	2023-12-06 13:51:01 +01:00
pre-commit-ci[bot]	bf5d8ac29c	fix(pre_commit): 🎨 auto format pre-commit hooks	2023-12-06 12:46:12 +00:00
SkalskiP	84713239ee	Adjusted the default position value in the TriangleAnnotator class.	2023-12-06 13:45:56 +01:00
pre-commit-ci[bot]	8d9228f7fd	fix(pre_commit): 🎨 auto format pre-commit hooks	2023-12-06 12:43:56 +00:00
SkalskiP	4400ae05eb	Merge remote-tracking branch 'origin/feature/add_triangle_annotator' into feature/add_triangle_annotator # Conflicts: # supervision/annotators/core.py	2023-12-06 13:43:37 +01:00
SkalskiP	366d39db48	Refactor vertices calculation in TriangleAnnotator	2023-12-06 13:42:52 +01:00
pre-commit-ci[bot]	a618b7c369	fix(pre_commit): 🎨 auto format pre-commit hooks	2023-12-06 12:34:55 +00:00
SkalskiP	f94a8cb9a1	Add TriangleAnnotator to annotators Added the ability to draw triangle markers on an image based on the provided detections with the TriangleAnnotator class. This is useful when needing to specifically mark or highlight certain areas of an image. The user can now specify both the color of the annotation and the metrics of the triangle such as base and height, as well as its position.	2023-12-06 13:32:48 +01:00
Piotr Skalski	186727243f	Merge pull request #511 from abhishek7kalra/traceannotator Fixed TraceAnnotator to respect the postion argument.	2023-12-06 13:16:50 +01:00
pre-commit-ci[bot]	7ea8e75a78	fix(pre_commit): 🎨 auto format pre-commit hooks	2023-12-06 11:53:45 +00:00
SkalskiP	27979cf756	Simpler fix with `self.trace = Trace(max_size=trace_length, anchor=position)`	2023-12-06 12:50:46 +01:00
Piotr Skalski	a8c1431392	Merge pull request #651 from roboflow/feature/scale_boxes_utility Add `scale_boxes` function to detection utils	2023-12-06 12:37:00 +01:00
SkalskiP	58c8620a6f	Add examples to `move_boxes` and `scale_boxes` functions	2023-12-06 12:32:59 +01:00
pre-commit-ci[bot]	9468f00997	fix(pre_commit): 🎨 auto format pre-commit hooks	2023-12-06 11:23:31 +00:00
SkalskiP	55f5f6a97a	The update introduces two new functions, `move_boxes` and `scale_boxes`, to the detection utilities in the `supervision` package.	2023-12-06 12:23:15 +01:00
pre-commit-ci[bot]	a530b2ba5e	fix(pre_commit): 🎨 auto format pre-commit hooks	2023-12-06 11:20:43 +00:00
SkalskiP	7cbf16be8a	Add `scale_boxes` function to detection utils Added a new function scale_boxes to the detection utilities in order to scale the dimensions of bounding boxes. This function accepts bounding boxes and a scaling factor as input and returns the scaled bounding boxes. It can enlarge or shrink the input bounding boxes based on the value of the passed factor. The function was also documented in the utils.md file and necessary tests were added to assure its correctness.	2023-12-06 12:16:22 +01:00
Piotr Skalski	a112292ed0	Merge pull request #648 from roboflow/collab-fix-v2 fix(versions): 🐞 min numpy version changed to 1.21.2	2023-12-05 14:30:55 +01:00
Onuralp SEZER	a64f3ff178	Merge pull request #624 from roboflow/dependabot/pip/wheel-0.42.0 ⬆️ Bump wheel from 0.41.3 to 0.42.0	2023-12-05 16:28:46 +03:00
Piotr Skalski	07fc5609da	Merge pull request #571 from roboflow/add-azure-analyze-image Add `from_azure_analyze_image` data loader	2023-12-05 14:00:53 +01:00
SkalskiP	39117f19c4	Merge remote-tracking branch 'origin/add-azure-analyze-image' into add-azure-analyze-image	2023-12-05 13:57:44 +01:00
SkalskiP	cb5e9c0df0	Added error handling in Detections.from_azure_analyze_image method	2023-12-05 13:57:27 +01:00
pre-commit-ci[bot]	38b87d6098	fix(pre_commit): 🎨 auto format pre-commit hooks	2023-12-05 12:46:33 +00:00
SkalskiP	a31f964947	Revise Detections.from_azure_analyze_image method for class mapping flexibility	2023-12-05 13:46:15 +01:00
dependabot[bot]	38297f85a5	⬆️ Bump wheel from 0.41.3 to 0.42.0 Bumps [wheel](https://github.com/pypa/wheel) from 0.41.3 to 0.42.0. - [Release notes](https://github.com/pypa/wheel/releases) - [Changelog](https://github.com/pypa/wheel/blob/main/docs/news.rst) - [Commits](https://github.com/pypa/wheel/compare/0.41.3...0.42.0) --- updated-dependencies: - dependency-name: wheel dependency-type: direct:development update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <support@github.com>	2023-12-05 12:44:47 +00:00
Onuralp SEZER	5cf91676f6	Merge pull request #644 from roboflow/dependabot/pip/ruff-0.1.7 ⬆️ Bump ruff from 0.1.6 to 0.1.7	2023-12-05 15:32:23 +03:00
Onuralp SEZER	c3c934f8c1	fix(versions): 🐞 min numpy version changed to 1.21.2 Signed-off-by: Onuralp SEZER <thunderbirdtr@gmail.com>	2023-12-05 15:03:16 +03:00
SkalskiP	f46326b7e4	Merge branch 'develop' into add-azure-analyze-image	2023-12-05 13:02:10 +01:00
Piotr Skalski	679fee9f16	Merge pull request #646 from roboflow/rename-boxmask-annotator Rename `BoxMaskAnnotator` to `ColorAnnotator`	2023-12-05 12:54:49 +01:00
SkalskiP	4774ace3c2	Merge branch 'develop' into rename-boxmask-annotator	2023-12-05 12:47:48 +01:00
Piotr Skalski	2e7ecdd418	Merge pull request #647 from roboflow/collab-min-max-version-fix fix(format): 🐞 removal of numpy,matplotlib,pillow max versions for flexible to collab updates	2023-12-05 12:46:18 +01:00
Onuralp SEZER	918970e7d6	fix(format): 🐞 removal of numpy,matplotlib,pillow max versions for flexible to collab updates Signed-off-by: Onuralp SEZER <thunderbirdtr@gmail.com>	2023-12-05 14:41:47 +03:00
James Gallagher	7f2b62a5ce	show transparent image	2023-12-05 10:42:31 +00:00
James Gallagher	9c10308abc	change heading	2023-12-05 10:42:05 +00:00
James Gallagher	d53181bb97	rename variable	2023-12-05 10:41:20 +00:00
pre-commit-ci[bot]	9d836faa8a	fix(pre_commit): 🎨 auto format pre-commit hooks	2023-12-05 10:39:27 +00:00
James Gallagher	c46e0f5c97	rename BoxMaskAnnotator to ColorAnnotator	2023-12-05 10:38:32 +00:00
dependabot[bot]	c322cf8001	⬆️ Bump ruff from 0.1.6 to 0.1.7 Bumps [ruff](https://github.com/astral-sh/ruff) from 0.1.6 to 0.1.7. - [Release notes](https://github.com/astral-sh/ruff/releases) - [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md) - [Commits](https://github.com/astral-sh/ruff/compare/v0.1.6...v0.1.7) --- updated-dependencies: - dependency-name: ruff dependency-type: direct:development update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <support@github.com>	2023-12-05 00:29:12 +00:00
James Gallagher	fa8f31931c	fix dict data type	2023-11-27 14:16:52 +00:00
James Gallagher	b4b332a0e2	fix dict data type	2023-11-27 14:14:56 +00:00
James Gallagher	c438b16e74	update example	2023-11-03 16:11:16 +00:00
James Gallagher	3490c3e670	add azure data loader	2023-11-03 15:59:53 +00:00
abhishek7kalra	9f901bb61e	Fixed position argument logic in TraceAnnotator	2023-10-21 18:16:58 +05:30
Abhishek Kalra	ece7164ce6	Merge branch 'roboflow:develop' into develop	2023-10-21 16:34:04 +05:30
Abhishek Kalra	e927a3c0a5	Merge pull request #2 from abhishek7kalra/linezonetrigger change return type from list to nparray	2023-10-15 19:07:54 +05:30
Abhishek Kalra	b1f85969a5	Merge pull request #1 from abhishek7kalra/linezonetrigger Linezonetrigger	2023-10-15 18:12:42 +05:30