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

1 次查看（过去 30 天）
gil
gil 2021-12-23
回答： Srivardhan Gadila 2021-12-27
We trained yolov3ObjectDetector as in the example
https://www.mathworks.com/help/vision/ug/object-detection-using-yolo-v3-deep-learning.html and the loss was close to 0.
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?

请先登录，再回答此问题。

采纳的回答

Srivardhan Gadila
Srivardhan Gadila 2021-12-27
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:
[dlY1,...,dlYK] = predict(___,'Outputs',layerNames)
You can refer to the documentation of predict (https://www.mathworks.com/help/deeplearning/ref/dlnetwork.predict.html) for more information.

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Deep Learning Toolbox 的更多信息

标签

产品


版本

R2021b

Community Treasure Hunt

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

Start Hunting!

Translated by