I am trying to perform inference on my custom YOLOv5 model. The official documentation uses the default detect.py script for inference. I have written my own python script but I cannot access the predicted class and the bounding box coordinates from the output of the model. Here is my code: Answer This will give you labels, coordinates, and thresholds for
Tag: inference
How can I remove the wrapper around the input when using Inference Schema
When using Inference Schema to autogenerate the swagger doc for my AzureML endpoint (as detailed here and here), I see that it creates a wrapper around my input_sample. Is there a way to not wrap the input inside this “data” wrapper? Here is what my score.py looks like: Answer InferenceSchema used with Azure Machine Learning deployments, then the code for
Causal Inference in observational data [closed]
Closed. This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 2 years ago. Improve this question I am using the python package DoWhy to see if I have a causal relationship between tenure and churn based