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

On 31/07/24 06:18, marc nicole via Python-list wrote:

Hello all,
 I want to predict an object by given as input an image and want to have my
model be able to predict the label. I have trained a model using tensorflow
based on annotated database where the target object to predict was added to
the pretrained model. the code I am using is the following where I set the
target object image as input and want to have the prediction output:

...

WHile I expect only the dict to contain the small_ball key

How's that is possible? where's the prediction output?How to fix the code?

To save us lots of reading and study to be able to help you, please advise:
1 what are the meanings of all these numbers?

'sheep': [[233.0, 92.0, 448.0, -103.0,

5.3531270027160645], [167.0, 509.0, 209.0, 101.0, 4.947688579559326],
[0.0, 0.0, 448.0, 431.0, 3.393721580505371]]

2 (assuming it hasn't) why the dict has not been sorted into a meaningful order
3 how can one tell that the image is more likely to be a sheep than a train?
--
Regards,
=dn