What tools to use to analyze yolov3 with squeezenet network miss detection?

11 views (last 30 days)
We trained yolov3ObjectDetector as in the example
While running [bboxes,scores,labels] = detect(detector.detector, resized, "Threshold", 0) with the above yolov3ObjectDetector, we get no results even for the training images.
We tried analyzing the network by using activations https://www.mathworks.com/help/deeplearning/ref/seriesnetwork.activations.html but it expects DAGNetwork object and the yolov3ObjectDetector is of type dlnetwork.
Can we convert dlnetwork to DAGNetwork and use the activations?
Any other tool that can help?

Accepted Answer

Srivardhan Gadila
Srivardhan Gadila on 27 Dec 2021
The YOLO v3 network in the yolov3ObjectDetector is stored as a dlnetwork (Deep Learning Toolbox) object. Whereas the function activations expects input network to be a SeriesNetwork or a DAGNetwork object. Hence the function activations does not work for dlnetwork object.
But in case of dlnetwork, you can get the output of any required layer by using the following syntax of predict function on dlnetwork object:
You can refer to the documentation of predict (https://www.mathworks.com/help/deeplearning/ref/dlnetwork.predict.html) for more information.

More Answers (0)

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by