I trained a model using Google Cloud Vertex AI. I have a dataset containing different videos and model does the video classification of these videos. In the Google Cloud Platform, I can find accuracy of the given videos after model has been trained. However, I could not find a way to create an Endpoint which is required to implement my model to the project.
In other words, I have a model trained by Google Cloud’s Vertex AI and I want to create an Endpoint which accepts a request with video and returns the accuracy according to the trained model. Google Cloud provides a way to do it using Endpoints but as shown below, following error occurs. This model cannot be deployed to an Endpoint
I could not find any documents on why this error is given to me. On the other hand, when I download the given model, code requires input type as below with the video;
“RESNETISH_V3: float32 Tensor, shape=(None, 128)”.
I do not know what is this variable type and this is basically where I am stuck. I need help deploying my trained model to any serverless environment, create a code handling posted video and return the accuracy and class of the given video to the request.
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