Re: Predicting an object over an pretrained model is not working

On 2024-07-31, marc nicole via Python-list <python-list@python.org> wrote:

I suppose the meaning of those numbers comes from this line
predicts_dict[class_name].append([int(xmin), int(ymin), int(xmax),
int(ymax), P[index]]) as well as the yolo inference call. But i was
expecting zeros for all classes except smallball.

That's not how machine learning and object recognition works.

Because the image only shows that,

You know that. The machine doesn't.

and that a train and a sheep wont have any target position or any
probability whatsoever in the image weirdobject.jpg

That depends on the training data and how the model works.

You should probably do some reading on neural networks, machine
learning, and pattern/object recognition. You appear to be trying to
use tools without understanding what they do or how they work.

--
Grant