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Release/v0.2.1 (#197)
* version bump * dai version bump * update supported models
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.github/workflows/bom_tests.yaml

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depthai-version:
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description: 'Version of depthai to install. Default: alpha13'
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required: true
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default: '3.0.0a13'
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default: '3.0.0a14'
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jobs:
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id:

.github/workflows/e2e_tests.yaml

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depthai-version:
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description: 'Version of depthai to install. Default: alpha13'
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required: true
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default: '3.0.0a13'
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default: '3.0.0a14'
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push:
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branches:
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- main

README.md

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@@ -25,7 +25,7 @@ The `depthai_nodes` package requires Python 3.8 or later and `depthai v3` instal
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While the `depthai v3` is not yet released on PyPI, you can install it with the following command:
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```bash
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pip install --extra-index-url https://artifacts.luxonis.com/artifactory/luxonis-python-release-local/ depthai==3.0.0a13
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pip install --extra-index-url https://artifacts.luxonis.com/artifactory/luxonis-python-release-local/ depthai==3.0.0a14
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```
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The `depthai_nodes` package is hosted on PyPI, so you can install it with `pip`.

depthai_nodes/__init__.py

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from .logging import setup_logging
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from .message import *
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__version__ = "0.2.0"
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__version__ = "0.2.1"
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setup_logging()

tests/end_to_end/README.md

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- `additional-parameter`: The parameter that specifies the desired test. Default is `-all` which runs tests on all public models. The available options are: `-all`, `-p <parser_name>`, `-m <model_1> <model_2> ...`.
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- `depthai-nodes-version`: The branch or release on which the tests will be run. Default is `main`.
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- `depthai-version`: The version of the DepthAI that will be used for the tests. Default is `3.0.0a13`.
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- `depthai-version`: The version of the DepthAI that will be used for the tests. Default is `3.0.0a14`.
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## Running the tests locally
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tests/end_to_end/supported_models.json

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"mediapipe-palm-detection:192x192",
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"mediapipe-face-landmarker:192x192",
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"scrfd-face-detection:10g-640x640"
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],
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"v0.2.1-alpha": [
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"barcode-detection:768x576",
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"barcode-detection:512x384",
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"yolov8-instance-segmentation-large:coco-640x480",
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"yolo-world-l:640x640-host-decoding",
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"yolo-world-l:640x640",
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"yolo-world-l:640x640-host-decoding",
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"deeplab-v3-plus:512x288",
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"deeplab-v3-plus:512x512",
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"lite-hrnet:18-coco-192x256",
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"lite-hrnet:18-coco-288x384",
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"lite-hrnet:30-coco-192x256",
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"lite-hrnet:30-coco-288x384",
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"qrdet:nano-512x288",
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"yunet:320x240",
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"yunet:640x480",
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"yunet:960x720",
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"yunet:1280x960",
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"dncnn3:320x240",
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"dncnn3:640x480",
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"zero-dce:600x400",
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"dm-count:qnrf-960x540",
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"dm-count:qnrf-640x360",
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"dm-count:qnrf-426x240",
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"dm-count:qnrf-256x144",
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"dm-count:shb-960x540",
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"dm-count:shb-640x360",
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"dm-count:shb-256x144",
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"dm-count:shb-426x240",
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"dm-count:sha-960x540",
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"mediapipe-selfie-segmentation:256x144",
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"dm-count:sha-640x360",
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"dm-count:sha-426x240",
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"dm-count:sha-256x144",
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"age-gender-recognition:62x62",
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"crestereo:iter2-160x120",
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"crestereo:iter2-320x240",
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"crestereo:iter5-320x240",
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"crestereo:iter4-640x360",
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"xfeat:mono-320x240",
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"xfeat:stereo-320x240",
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"xfeat:mono-640x480",
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"ewasr:512x384",
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"xfeat:stereo-640x480",
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"pp-liteseg:1024x512",
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"midas-v2-1:small-384x256",
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"midas-v2-1:small-512x288",
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"midas-v2-1:small-256x192",
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"midas-v2-1:small-512x384",
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"midas-v2-1:small-1024x768",
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"depth-anything-v2:vit-s-336x252",
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"depth-anything-v2:vit-s-560x420",
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"depth-anything-v2:vit-s-mde-indoors-336x252",
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"depth-anything-v2:vit-s-mde-outdoors-336x252",
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"thermal-person-detection:256x192",
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"yolo-world-l:640x640",
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"efficientvit:b1-224x224",
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"scrfd-person-detection:25g-640x640",
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"yolo-world-l:yolo-worldv2-l-640x640",
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"yolo-p:bdd100k-320x320",
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"whisper-tiny-en:decoder",
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"whisper-tiny-en:encoder",
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"rt-super-resolution:v1",
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"l2cs-net:448x448",
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"gaze-estimation-adas:60x60",
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"osnet:market1501-128x256",
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"osnet:imagenet-128x256",
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"osnet:multi-source-domain-128x256",
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"arcface:lfw-112x112",
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"mediapipe-hand-landmarker:224x224",
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"head-pose-estimation:60x60",
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"objectron:camera-224x224",
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"objectron:chair-224x224",
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"objectron:cup-224x224",
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"objectron:sneakers-224x224",
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"ppe-detection:640x640",
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"paddle-text-recognition:320x48",
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"paddle-text-detection:256x256",
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"paddle-text-detection:544x960",
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"paddle-text-detection:320x576",
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"ultra-fast-lane-detection:culane-800x288",
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"ultra-fast-lane-detection:tusimple-800x288",
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"deeplab-v3-plus:256x256",
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"deeplab-v3-plus:person-513x513",
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"deeplab-v3-plus:person-256x256",
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"deeplab-v3-plus:513x513",
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"yolov6-nano:coco-416x416",
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"yolov8-large-pose-estimation:coco-640x352",
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"yolov8-nano-pose-estimation:coco-512x288",
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"yolov8-instance-segmentation-nano:coco-512x288",
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"yolov8-instance-segmentation-large:coco-640x352",
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"fastsam-x:640x352",
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"fastsam-s:512x288",
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"yolov10-nano:coco-512x288",
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"m-lsd:512x512",
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"m-lsd-tiny:512x512",
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"emotion-recognition:gray-64x64",
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"image-quality-assessment:256x256",
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"efficientnet-lite:lite4-300x300",
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"efficientnet-lite:lite0-224x224",
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"mobilenet-ssd:300x300",
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"license-plate-detection:640x640",
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"vehicle-attributes-classification:72x72",
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"emotion-recognition:260x260",
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"mediapipe-palm-detection:128x128",
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"esrgan:256x256",
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"rt-super-resolution:50x50",
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"yolov6-large:r2-coco-640x352",
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"yolov6-nano:r2-adjusted-coco-512x288",
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"yolov6-nano:r2-coco-512x288",
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"superanimal-landmarker:256x256",
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"mediapipe-palm-detection:192x192",
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"mediapipe-face-landmarker:192x192",
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"scrfd-face-detection:10g-640x640"
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]
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}

tests/stability_tests/README.md

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The stability tests are triggered in every PR. But you can also trigger them manually. Required parameters are:
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- `additional-parameter`: The parameter that specifies the desired test. Default is `-all` which runs tests on all parsers. The available options are: `-all`, `-p <parser_name>`.
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- `depthai-version`: The version of the DepthAI that will be used for the tests. Default is `3.0.0a13`.
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- `depthai-version`: The version of the DepthAI that will be used for the tests. Default is `3.0.0a14`.
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- `duration`: The duration of each test in seconds. Default is `10` seconds.
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## How to create test for Host node or parser

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