Publishing Output of Yolo Model #44
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Hi @labaxisAI2 Thanks for your input,
Yeah you can definitely swap the model in the pose estimator example, to replace it with yolo (here and here), and adjust the output of the model, (here to get yolo output instead of the keypoints).
Yes, but larod-client can also be used with non-random-input (real images) see here and here for more details.
Not sure what you mean here, you could change that script to feed in input an image instead of random data, and visualize the results. however, we recommend this only for "experimenting" as it is not an efficient way.
Yes, you would have to make your own ACAP. Here you can find documentation and examples 1 2 |
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Curious if its possible to take what the pose estimator does with publishing using flask (acap-computer-vision-sdk-sxamples) and using a similar approach with an individual Yolov5 model?
In axis-model-zoo, Axis generously provides ways to test inferencing of different public models using the
larod-client
on randomly generated images. If a model successfully pass themodel_performance_tester.py
script does this mean I can create a visualization of the models output through the camera?Side question - Would it ever be possible to run individual models as an app on the Camera's GUI, like AOA or AVMD.
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