Merge pull request #818 from Shared-Reality-Lab/alpha-beta

Added missing handler README files; moved deprecated handlers; added …
Shared-Reality-Lab · May 1, 2024 · cb255e5 · cb255e5
2 parents 7ffb744 + 9ec3a44
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diff --git a/.github/workflows/hello-haptics-handler.yml b/.github/workflows/hello-haptics-handler.yml
diff --git a/.github/workflows/svg-od-handler.yml b/.github/workflows/svg-od-handler.yml
@@ -27,7 +27,7 @@ jobs:
       - name: Install flake8
         run: pip install flake8
       - name: Check with flake8
-        run: python -m flake8 ./preprocessors/yolo --show-source
+        run: python -m flake8 ./handlers/svg-object-detection --show-source
   build-and-push-image:
     name: Build and Push to Registry
     needs: lint

diff --git a/handlers/autour-handler/README.md b/handlers/autour-handler/README.md
@@ -1,5 +1,7 @@
 # Autour Handler
 
+Beta quality: Useful enough for testing by end-users.
+
 ![license: AGPL](https://camo.githubusercontent.com/b53b1136762ea55ee6a2d641c9f8283b8335a79b3cb95cbab5a988e678e269b8/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d4147504c2d73756363657373) [GitHub Container Registry Package](https://github.com/Shared-Reality-Lab/IMAGE-server/pkgs/container/image-handler-autour)
 
 ## What is this?

diff --git a/handlers/hello-haptics-handler/.eslintrc.js → ...ecated/hello-haptics-handler/.eslintrc.js b/handlers/hello-haptics-handler/.eslintrc.js → ...ecated/hello-haptics-handler/.eslintrc.js
diff --git a/handlers/hello-haptics-handler/.gitignore → ...precated/hello-haptics-handler/.gitignore b/handlers/hello-haptics-handler/.gitignore → ...precated/hello-haptics-handler/.gitignore
diff --git a/handlers/hello-haptics-handler/Dockerfile → ...precated/hello-haptics-handler/Dockerfile b/handlers/hello-haptics-handler/Dockerfile → ...precated/hello-haptics-handler/Dockerfile
diff --git a/handlers/hello-haptics-handler/README.md → ...eprecated/hello-haptics-handler/README.md b/handlers/hello-haptics-handler/README.md → ...eprecated/hello-haptics-handler/README.md
diff --git a/...s/hello-haptics-handler/package-lock.json → ...d/hello-haptics-handler/package-lock.json b/...s/hello-haptics-handler/package-lock.json → ...d/hello-haptics-handler/package-lock.json
diff --git a/handlers/hello-haptics-handler/package.json → ...ecated/hello-haptics-handler/package.json b/handlers/hello-haptics-handler/package.json → ...ecated/hello-haptics-handler/package.json
diff --git a/handlers/hello-haptics-handler/src/server.ts → ...cated/hello-haptics-handler/src/server.ts b/handlers/hello-haptics-handler/src/server.ts → ...cated/hello-haptics-handler/src/server.ts
diff --git a/handlers/hello-haptics-handler/src/utils.ts → ...ecated/hello-haptics-handler/src/utils.ts b/handlers/hello-haptics-handler/src/utils.ts → ...ecated/hello-haptics-handler/src/utils.ts
diff --git a/handlers/hello-haptics-handler/tsconfig.json → ...cated/hello-haptics-handler/tsconfig.json b/handlers/hello-haptics-handler/tsconfig.json → ...cated/hello-haptics-handler/tsconfig.json
diff --git a/handlers/hello-tts-handler/.eslintrc.js → ...deprecated/hello-tts-handler/.eslintrc.js b/handlers/hello-tts-handler/.eslintrc.js → ...deprecated/hello-tts-handler/.eslintrc.js
diff --git a/handlers/hello-tts-handler/.gitignore → ...s/deprecated/hello-tts-handler/.gitignore b/handlers/hello-tts-handler/.gitignore → ...s/deprecated/hello-tts-handler/.gitignore
diff --git a/handlers/hello-tts-handler/Dockerfile → ...s/deprecated/hello-tts-handler/Dockerfile b/handlers/hello-tts-handler/Dockerfile → ...s/deprecated/hello-tts-handler/Dockerfile
diff --git a/handlers/hello-tts-handler/README.md → ...rs/deprecated/hello-tts-handler/README.md b/handlers/hello-tts-handler/README.md → ...rs/deprecated/hello-tts-handler/README.md
diff --git a/handlers/hello-tts-handler/package-lock.json → ...cated/hello-tts-handler/package-lock.json b/handlers/hello-tts-handler/package-lock.json → ...cated/hello-tts-handler/package-lock.json
diff --git a/handlers/hello-tts-handler/package.json → ...deprecated/hello-tts-handler/package.json b/handlers/hello-tts-handler/package.json → ...deprecated/hello-tts-handler/package.json
diff --git a/handlers/hello-tts-handler/src/server.ts → ...eprecated/hello-tts-handler/src/server.ts b/handlers/hello-tts-handler/src/server.ts → ...eprecated/hello-tts-handler/src/server.ts
diff --git a/handlers/hello-tts-handler/tsconfig.json → ...eprecated/hello-tts-handler/tsconfig.json b/handlers/hello-tts-handler/tsconfig.json → ...eprecated/hello-tts-handler/tsconfig.json
diff --git a/handlers/hello-tts-handler/types/osc.d.ts → ...precated/hello-tts-handler/types/osc.d.ts b/handlers/hello-tts-handler/types/osc.d.ts → ...precated/hello-tts-handler/types/osc.d.ts
diff --git a/handlers/hello-handler/README.md b/handlers/hello-handler/README.md
@@ -1,5 +1,7 @@
 # Hello, Handler!
 
+Beta quality: Useful enough for testing by end-users.
+
 ## What is this?
 
 This is an extremely basic version of a [handler](https://github.com/Shared-Reality-Lab/IMAGE-server/wiki/2.-Handlers,-Preprocessors-and-Services#handlers=) meant to illustrate its basic operation.

diff --git a/handlers/hello-svg-handler/README.md b/handlers/hello-svg-handler/README.md
@@ -1,5 +1,7 @@
 # Hello SVG Handler
 
+Beta quality: Useful enough for testing by end-users.
+
 This is a test handler that generates SVGs to demonstrate how it could be done for a visual debugger.
 The [visual debugger outputs](https://github.com/Shared-Reality-Lab/IMAGE-server/issues/117) should aid
 designers in understanding the outputs of various preprocessors, especially computer vision related ones.
diff --git a/handlers/high-charts/README.md b/handlers/high-charts/README.md
@@ -1,5 +1,7 @@
 # Highcharts Handler
 
+Beta quality: Useful enough for testing by end-users.
+
 ![license: AGPL](https://camo.githubusercontent.com/b53b1136762ea55ee6a2d641c9f8283b8335a79b3cb95cbab5a988e678e269b8/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d4147504c2d73756363657373) [GitHub Container Registry Package](https://github.com/Shared-Reality-Lab/IMAGE-server/pkgs/container/image-handler-high-charts)
 
 ## What is this?

diff --git a/handlers/map-tactile-svg/README.md b/handlers/map-tactile-svg/README.md
@@ -1,5 +1,7 @@
 # Map Tactile Svg Handler
 
+Alpha quality: Insufficiently refined to be tested by end-users.
+
 ![license: AGPL](https://camo.githubusercontent.com/b53b1136762ea55ee6a2d641c9f8283b8335a79b3cb95cbab5a988e678e269b8/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d4147504c2d73756363657373) [GitHub Container Registry Package](https://github.com/Shared-Reality-Lab/IMAGE-server/pkgs/container/image-handler-map-tactile-svg)
 
 ## What is this?

diff --git a/handlers/motd/README.md b/handlers/motd/README.md
@@ -1,5 +1,7 @@
 # Message of the Day Handler
 
+Beta quality: Useful enough for testing by end-users.
+
 ![license: AGPL](https://camo.githubusercontent.com/b53b1136762ea55ee6a2d641c9f8283b8335a79b3cb95cbab5a988e678e269b8/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d4147504c2d73756363657373) [GitHub Container Registry Package](https://github.com/Shared-Reality-Lab/IMAGE-server/pkgs/container/image-handler-motd)
 
 ## What is this?

diff --git a/handlers/ocr-handler/README.md b/handlers/ocr-handler/README.md
@@ -1,4 +1,7 @@
 # OCR Handler [DEMONSTRATION]
+
+Alpha quality: Insufficiently refined to be tested by end-users.
+
 ## What is OCR?
 OCR is an acronym for Optical Character Recognition which is the process of extracting machine-readable text pictured in graphics or documents.
 We expect that in the future the OCR preprocessor results will likely be rolled

diff --git a/handlers/osm-streets-handler/README.md b/handlers/osm-streets-handler/README.md
@@ -1,5 +1,7 @@
 # OSM Streets
 
+Alpha quality: Insufficiently refined to be tested by end-users.
+
 ![license: AGPL](https://camo.githubusercontent.com/b53b1136762ea55ee6a2d641c9f8283b8335a79b3cb95cbab5a988e678e269b8/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d4147504c2d73756363657373) [GitHub Container Registry Package](https://github.com/Shared-Reality-Lab/IMAGE-server/pkgs/container/image-handler-osm-streets)
 
 This is a handler that displays a street-oriented view of a map, sweeping across certain streets and indicating points of interest along the way.
diff --git a/handlers/photo-audio-handler/README.md b/handlers/photo-audio-handler/README.md
@@ -1,5 +1,7 @@
 # Photo Audio Handler
 
+Beta quality: Useful enough for testing by end-users.
+
 ![license: AGPL](https://camo.githubusercontent.com/b53b1136762ea55ee6a2d641c9f8283b8335a79b3cb95cbab5a988e678e269b8/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d4147504c2d73756363657373) [GitHub Container Registry Package](https://github.com/Shared-Reality-Lab/IMAGE-server/pkgs/container/image-handler-photo-audio)
 
 ## What is this?

diff --git a/handlers/photo-audio-haptics-handler/README.md b/handlers/photo-audio-haptics-handler/README.md
@@ -1,5 +1,7 @@
 # Photo Audio Haptics Handler
 
+Alpha quality: Insufficiently refined to be tested by end-users.
+
 ![license: AGPL](https://camo.githubusercontent.com/b53b1136762ea55ee6a2d641c9f8283b8335a79b3cb95cbab5a988e678e269b8/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d4147504c2d73756363657373) [GitHub Container Registry Package](https://github.com/Shared-Reality-Lab/IMAGE-server/pkgs/container/image-handler-photo-audio-haptics)
 
 ## What is this?

diff --git a/handlers/photo-tactile-svg/README.md b/handlers/photo-tactile-svg/README.md
@@ -1,5 +1,7 @@
 # Photo Tactile Svg Handler
 
+Alpha quality: Insufficiently refined to be tested by end-users.
+
 ![license: AGPL](https://camo.githubusercontent.com/b53b1136762ea55ee6a2d641c9f8283b8335a79b3cb95cbab5a988e678e269b8/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d4147504c2d73756363657373) [GitHub Container Registry Package](https://github.com/Shared-Reality-Lab/IMAGE-server/pkgs/container/image-handler-photo-tactile-svg)
 
 ## What is this?

diff --git a/handlers/svg-action-recognition/README.md b/handlers/svg-action-recognition/README.md
@@ -0,0 +1,3 @@
+Alpha quality: Insufficiently refined to be tested by end-users.
+
+This handler creates a visual debug output for debugging the action-recognition preprocessor.
diff --git a/handlers/svg-depth-map/README.md b/handlers/svg-depth-map/README.md
@@ -0,0 +1,3 @@
+Beta quality: Useful enough for testing by end-users.
+
+This handler creates a visual debug output for the depth-map preprocessor.
diff --git a/handlers/svg-object-detection/README.md b/handlers/svg-object-detection/README.md
@@ -0,0 +1,3 @@
+Beta quality: Useful enough for testing by end-users.
+
+This handler creates a visual debug output for object-detection preprocessors.
diff --git a/handlers/svg-open-street-map/README.md b/handlers/svg-open-street-map/README.md
@@ -0,0 +1,3 @@
+Alpha quality: Insufficiently refined to be tested by end-users.
+
+This handler creates a visual debug output for the open-street-map preprocessor.
diff --git a/handlers/svg-semantic-seg/README.md b/handlers/svg-semantic-seg/README.md
@@ -0,0 +1,3 @@
+Beta quality: Useful enough for testing by end-users.
+
+This handler creates a visual debug output for a semantic segmentation preprocessor.
diff --git a/preprocessors/action-recognition/README.md b/preprocessors/action-recognition/README.md
@@ -1,5 +1,7 @@
 # About
 
+Alpha quality: Insufficiently refined to be tested by end-users.
+
 This preprocessor is used for detecting human action from images. The preprocessor was trained using transfer learning with a pretrained DINOv2 model as a base and a linear head trained from scratch on action images. DINOv2 ViT-S/14 distilled was released by Meta AI Research (https://github.com/facebookresearch/dinov2). Output from object detection is used to find all instances of 'person' in a graphic and classify each instance individually
 
 ## Datasets Used

diff --git a/preprocessors/autour/README.md b/preprocessors/autour/README.md
@@ -1,3 +1,5 @@
+Beta quality: Useful enough for testing by end-users.
+
 # Usage
 
 The autour preprocessor is used to analyze an embedded google map and return locations of interest around the maps locations. 

diff --git a/preprocessors/caption-recognition/README.md b/preprocessors/caption-recognition/README.md
@@ -1,5 +1,7 @@
 # Caption Recognition Preprocessor
 
+Alpha quality: Insufficiently refined to be tested by end-users.
+
 This preprocessor provides a single sentence caption for the image. Currently the code uses [BLIP](https://github.com/salesforce/BLIP), which is a huggingface based vision transformer that can generate accurate captions.
 
 The code to use this module as an API can be found in `caption.py`. This module is fully versionned, the versions of the libraries used can be found in `requirements.txt` and in the `Dockerfile`.

diff --git a/preprocessors/celebrity-detector/README.md b/preprocessors/celebrity-detector/README.md
@@ -1,5 +1,7 @@
 # Celebrity Detection Preprocessor
 
+Alpha quality: Insufficiently refined to be tested by end-users.
+
 This preprocessor detects the celebrities present in an image. The code crops individual people in an image and uses Azure Computer Vision API to determine if the cropped individual is a celebrity. 
 The code performing all these operations can be found in `celebrity-detector.py`
 

diff --git a/preprocessors/chart-pipeline/README.md b/preprocessors/chart-pipeline/README.md
@@ -1,3 +1,5 @@
+Beta quality: Useful enough for testing by end-users.
+
 # Chart data extraction pipeline
 
 This pipeline is based on the DeepRule paper:

diff --git a/preprocessors/clothes-detector/README.md b/preprocessors/clothes-detector/README.md
@@ -1,5 +1,7 @@
 # Clothes Detection Preprocessor
 
+Alpha quality: Insufficiently refined to be tested by end-users.
+
 This preprocessor detects the type of clothing of individual people in a photograph. The following are the steps performed by the preprocessor
 
 1. We first crop individual people from the image, then detect the clothes worn by each individual. We have used YOLOv3 in the backend to detect and localise the clothes worn by each individual. The weights were obtained from [https://github.com/simaiden/Clothing-Detection](https://github.com/simaiden/Clothing-Detection)

diff --git a/preprocessors/collage-detector/README.md b/preprocessors/collage-detector/README.md
@@ -1,5 +1,7 @@
 # Per-image Classifier for Identifying Collages or Non-collages
 
+Alpha quality: Insufficiently refined to be tested by end-users.
+
 ## Overview
 
 This preprocessor classifies whether the input image is a collage or a non-collage. The Dockerfile builds a fully functioning IMAGE preprocessor.

diff --git a/preprocessors/collage-detector/requirements.txt b/preprocessors/collage-detector/requirements.txt
@@ -1,7 +1,7 @@
 opencv-python~=4.7.0.68
-numpy~=1.23.3
+numpy~=1.26.4
 tqdm~=4.64.1
 Flask~=2.2.2
 flask_api==2.0.0
 jsonschema~=4.17.3
-gunicorn==20.1.0
+gunicorn==20.1.0
diff --git a/preprocessors/content-categoriser/README.md b/preprocessors/content-categoriser/README.md
@@ -1,3 +1,5 @@
+Beta quality: Useful enough for testing by end-users.
+
 This preprocessor classifies whether the input image is a picture or a chart. The preprocessor is trained from scratch using transfer learning. The following datasets were used in training our preprocessor
 ## Datasets used 
 

diff --git a/preprocessors/depth-map-gen/README.md b/preprocessors/depth-map-gen/README.md
@@ -1,5 +1,7 @@
 <h1>Depth Estimation</h1>
 
+Beta quality: Useful enough for testing by end-users.
+
 This proprocessor will take any image as an input and output the estimated depth. The goal being that the model will allow for other preprocessors to associate depth
 to different components of the image, such as objects, and provide another dimension to the sound renderings. 
 

diff --git a/preprocessors/emotion-recognition/README.md b/preprocessors/emotion-recognition/README.md
@@ -1,5 +1,7 @@
 # Expression Recognition Preprocessor
 
+Alpha quality: Insufficiently refined to be tested by end-users.
+
 This preprocessor has been designed to recognize human expressions and categorize them as `happy, neutral, or sad`. It is built on the Deepface library, which offers a variety of models like `FaceNet, Openface, DeepFace,` and more. The models can be easily switched by specifying the `detector_backend` parameter when calling the `Deepface.analyze` function. For more information on model selection, please refer to the [Deepface Readme](https://github.com/serengil/deepface).
 
 To use this module as an API, you can follow the example provided in the `emotion-recognition.py` file. The necessary dependencies and their associated versions are clearly specified in the `requirements.txt`

diff --git a/preprocessors/graphic-tagger/README.md b/preprocessors/graphic-tagger/README.md
@@ -1,3 +1,5 @@
+Beta quality: Useful enough for testing by end-users.
+
 This preprocessor is used to determine if the image is an indoor or an outdoor image. This preprocessor could be used for getting more information about the image as well. This preprocessor has been outsourced to Azure and we access it using the API key.
 
 According to Azure documents the preprocessor can return [86 tags](https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/category-taxonomy), but we have limited the images to just indoor and outdoor.

diff --git a/preprocessors/grouping/README.md b/preprocessors/grouping/README.md
@@ -1,3 +1,5 @@
+Beta quality: Useful enough for testing by end-users.
+
 The grouping preprocessor tries to group in the objects detected by the Object Detection based on their type. The following libraries were used for creating the grouping preprocessor
 
 

diff --git a/preprocessors/line-charts/README.md b/preprocessors/line-charts/README.md
@@ -1,4 +1,7 @@
 # Line-charts Preprocessor
+
+Beta quality: Useful enough for testing by end-users.
+
 ## The Line-charts preprocessor extracts useful information from the given graph. 
 This preprocessor is used to extract further insights from the given input graph (in the highcharts format). The additional keys added to the data include:
 *lowerPointsOnLeft: number of continous points lower than the current point, lying on the left side of current point

diff --git a/preprocessors/mmsemseg/README.md b/preprocessors/mmsemseg/README.md
@@ -1,5 +1,7 @@
 # Semantic Segmentation module
 
+Beta quality: Useful enough for testing by end-users.
+
 This preprocessor is used for semantically segmenting images. The code for this preprocessor heavily relies on the [MMSegmentation](https://github.com/open-mmlab/mmsegmentation) framework.
 
 The code to use this module as an API can be found in `segment.py`, additional functions are located in `utils.py`. This module is fully versionned, the versions of the libraries used can be found in `requirements.txt` and in the `Dockerfile`.

diff --git a/preprocessors/ner/README.md b/preprocessors/ner/README.md
@@ -1,5 +1,7 @@
 # Named Entity Recognition (NER)
 
+Alpha quality: Insufficiently refined to be tested by end-users.
+
 This preprocessor takes alt text and a photograph. It uses [CLIPScore](https://arxiv.org/abs/2104.08718) to determine whether or not the alt text describes the content of the photo (rather than adding additional context or the photo being for "flavor", as is often done in news articles).
 If the score is above a certain threshold, the [Stanford Named Entity Recognizer](https://nlp.stanford.edu/software/CRF-NER.shtml) is used to find and tag named entities in this alt text.
 The results are included in the response.

diff --git a/preprocessors/nominatim/README.md b/preprocessors/nominatim/README.md
@@ -1,5 +1,7 @@
 # Nominatim Preprocessor
 
+Beta quality: Useful enough for testing by end-users.
+
 This preprocessor looks for geospatial coordinates in the request (i.e., a latitude and longitude) and uses [Nominatim](https://nominatim.org) to find a common name for the location, if possible.
 This name is either a civic address or the proper name of a business, landmark, organization, etc.
 The public Nominatim server is used by default, but can be overridden with the `NOMINATIM_SERVER` environment variable.
diff --git a/preprocessors/object-depth-calculator/README.md b/preprocessors/object-depth-calculator/README.md
@@ -1,5 +1,7 @@
 # Object Depth Calculator
 
+Beta quality: Useful enough for testing by end-users.
+
 This preprocessor aims at combining the outputs from the depth-map-generator preprocessor and the obejct-detection preprocessor. 
 It calculates the depth of an object by taking the median pixel depth value within the bounding box coordinates as seen in:
 

diff --git a/preprocessors/object-detection-azure/README.md b/preprocessors/object-detection-azure/README.md
@@ -1,3 +1,5 @@
+Beta quality: Useful enough for testing by end-users.
+
 This preprocessor uses the object detection feature of [Azure](https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection). Once the objects are detected, they are normalised and returned back in a pre-defined formate.
 
 We have created a docker container to ensure ease of maintenance of the code.

diff --git a/preprocessors/ocr/README.md b/preprocessors/ocr/README.md
@@ -1,4 +1,7 @@
 # OCR Preprocessor
+
+Alpha quality: Insufficiently refined to be tested by end-users.
+
 ## What is OCR?
 OCR is an acronym for Optical Character Recognition which is the process of extracting machine-readable text pictured in graphics or documents.
 ## About this preprocessor

diff --git a/preprocessors/openstreetmap/Dockerfile b/preprocessors/openstreetmap/Dockerfile
@@ -20,4 +20,4 @@ EXPOSE 5000
 
 ENV FLASK_APP=main.py
 USER python
-CMD [ "gunicorn", "main:app", "-b", "0.0.0.0:5000", "--capture-output", "--log-level=debug" ]
+CMD [ "gunicorn", "main:app", "-b", "0.0.0.0:5000", "--capture-output", "--log-level=debug" ]
diff --git a/preprocessors/openstreetmap/Readme.md b/preprocessors/openstreetmap/Readme.md
@@ -1,5 +1,7 @@
 # Description
 
+Alpha quality: Insufficiently refined to be tested by end-users.
+
 This service basically involves automatic communication with the openstreetmap (OSM), based on the user's orientation and location, to extract critical map information within an optimum user's radius. The extracted data would be transformed to a suitable data framework, for effective audio and haptic rendering.
 
 ## Environment setup
@@ -173,4 +175,4 @@ a. Computing bounding_box-
 
 6. https://wiki.openstreetmap.org/wiki/Overpass_API/Overpass_QL
 
-7. https://wiki.openstreetmap.org/wiki/Overpass_API
+7. https://wiki.openstreetmap.org/wiki/Overpass_API
diff --git a/preprocessors/sorting/README.md b/preprocessors/sorting/README.md
@@ -1,3 +1,5 @@
+Beta quality: Useful enough for testing by end-users.
+
 This preprocessor has been created in order to make sense of the outputs generated by object detection preprocessor. The object detection just detects the objects and sends them back in a json format. The sorting preprocessor arranges these objects in 3 different categories namely:
 
 ```

diff --git a/preprocessors/yolov8/README.md b/preprocessors/yolov8/README.md
@@ -1,3 +1,5 @@
+Beta quality: Useful enough for testing by end-users.
+
 This preprocessor detects the objects present in the image. The entire code for this preprocessor has been refered from [ultralytics Repository](https://github.com/ultralytics/ultralytics).
 
 In order to run this preprocessor we have used the [ultralytics YOLOv8 image](https://hub.docker.com/r/ultralytics/ultralytics) as a base docker image. The image is versioned with tag 'latest' and digest 'sha256:af4572bf0df164d5708e4a1f50bddb5a74cb7d793fe46b7daf42b1768fbec608'. The following commands import the base docker image:
Original file line number	Diff line number	Diff line change
		@@ -0,0 +1,3 @@
		Alpha quality: Insufficiently refined to be tested by end-users.

		This handler creates a visual debug output for debugging the action-recognition preprocessor.
Original file line number	Diff line number	Diff line change
		@@ -0,0 +1,3 @@
		Beta quality: Useful enough for testing by end-users.

		This handler creates a visual debug output for the depth-map preprocessor.
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		Beta quality: Useful enough for testing by end-users.

		The grouping preprocessor tries to group in the objects detected by the Object Detection based on their type. The following libraries were used for creating the grouping preprocessor


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