Hello! I have a small problem here, if anyone could help. I have been trying to use a Roboflow Model for live Object Detection using a webcam and some python code, and it is my first time working on such a project, so it is taking some time to understand everything.
I trained my dataset using the Google Colab for yolov8 (Model Type: yolov8s Model Upload). However, when infering the frames, I need to extract the position of the bounding box and its confidence, at best using JSON, however I keep getting JSONDecodeError (raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0))
From this I take that my response is not decodable to JSON, but why? It seems to work for other people, as I have seen online. I have not found an answer to this problem online.
I have found the most common method to infer the frames is using the upload link to the Roboflow Inference API, so I found this code and copied it. I have seen that on the website, theres an Option to have the result as an image or as JSON, is there a way to specify this in python maybe?
What I find weird, is that the response status is 200, but the raw response would be something like this: <urllib3.response.HTTPResponse object at 0x0000019865274D60>. What does this mean?
Hopefully I have described the situation well enough, if there is any necessary info needed please ask.