option training progress plot for RCNN Detector

2 visualizaciones (últimos 30 días)
Abdussalam Elhanashi
Abdussalam Elhanashi el 14 de Sept. de 2019
Respondida: Raunak Gupta el 17 de Sept. de 2019
Hi Guys
I am looking if threre is anyway for getting the plot of training progress for RCNN Detector
I have checked Matlab and as per the link below but it does not support the plot training progress for RCNN
Note
trainRCNNObjectDetector does not support these training options:
  • The Plots value: 'training-progress'
  • The ValidationData, ValidationFrequency, or ValidationPatience options
  • The OutputFcn option.
Thanks

Respuesta aceptada

Raunak Gupta
Raunak Gupta el 17 de Sept. de 2019
Hi,
The specific ‘training-progress’ is not available for ‘Plots’ Property for trainRCNNObjectDetector. I would suggest you to save the info that contains the information about training loss and accuracy after each iteration by using
[detector,info] = trainRCNNObjectDetector(___)
This info object will return Training Loss, Training Accuracy and Learning Rate for each epoch in a structure which you may access later for plotting the result for visualization. Dynamically visualizing the training progress on a plot is not supported. By this way you can see the training progress after the training finishes.
For Other factors in RCNN Detector Training please take a look at the Training Options.

Más respuestas (0)

Categorías

Más información sobre Recognition, Object Detection, and Semantic Segmentation en Help Center y File Exchange.

Community Treasure Hunt

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

Start Hunting!

Translated by