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Detecting hornets #10
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one thing that i normally do just to make sure things are generally wired ok is to use just a single image as the training and test set. it should be the case that the model gets it perfect; and if it doesn't there is something going on. do you want to give that a go? (a single image should also be the fastest to converge) i have a |
I think there may be something wrong with the blurring in the label image.
It normally has clear white pixels where the label is. Just check it is
using nearest neighbour interpolation
…On Thu, 4 Oct 2018 at 23:20, Klorydryk ***@***.***> wrote:
This way seems to work.
[image: frelon3114 png]
<https://user-images.githubusercontent.com/1232047/46506370-4f5ab780-c834-11e8-8f56-8392effc7b05.png>
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i've also committed 9969ead which includes a |
Hi,
I applied this process to an image sequence from a video of hornet attacking my hives. But in the end, nothing is detected in the "predict_example" series:
I can give a link to the training files I used:
https://rogerlambda.info/nextcloud/index.php/s/oH7Ck8CGBDojg78
and the test files :
https://rogerlambda.info/nextcloud/index.php/s/KKWZxBeYS8LMGAP
What do you think? Too few hornets in the image (one or 2 visible in the same time) ? Bad background? Too few images (70 and 90) labelled?
Thanks!
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