convert Result to Pandas Dataframe of an object detection model
Budget: ₹600 – ₹1,500 INR
I am using this tutorial for an object detection task-
https://github.com/open-mmlab/mmrotate/blob/main/demo/MMRotate_Tutorial.ipynb
And in this tutorial the inference output: result = inference_detector(model, img) is a list of numpy arrays. Here I want to save the output in a Pandas Dataframe format. In this Dataframe I want to have two columns: image and label. In image colun image name will be saved and in label column output should be in format (bounding box coordinates confidence_score class_name).
You can easily run above mentioned notebook in colab and if you are able to complete my requirement, let me know.
https://github.com/open-mmlab/mmrotate/blob/main/demo/MMRotate_Tutorial.ipynb
And in this tutorial the inference output: result = inference_detector(model, img) is a list of numpy arrays. Here I want to save the output in a Pandas Dataframe format. In this Dataframe I want to have two columns: image and label. In image colun image name will be saved and in label column output should be in format (bounding box coordinates confidence_score class_name).
You can easily run above mentioned notebook in colab and if you are able to complete my requirement, let me know.