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how can I do object detection with vgg16 by using rcnn??

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jin soo kim
jin soo kim on 22 Nov 2019
Answered: Sourav Bairagya on 10 Jan 2020
Hello, I have my custom image data of car and I labeled all my images.
And I want to train CNN by using rcnn. source code is 'rcnn = trainRCNNObjectDetector(gTruth, layers, options)
gTruth is my dataset and I want to use vgg16 for layers.
I can't modify inputlayers(imagesize) and number of nodes of last classification layer and number of classess.
how can I do object detection with vgg16 by using rcnn??

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Answers (1)

Sourav Bairagya
Sourav Bairagya on 10 Jan 2020
You can extract the desired number of layers from the pretrained net and define your choice of network. Here is an small example for extracting the desired layers.
net = vgg16;
lastFeatureLayerIdx = 32;
layers = net.Layers;
middlelayers = layers(2:lastFeatureLayerIdx);
Now, you can define your choice of input layer and final layer (i.e. classification layer) and then combine them with the middle layers to get the complete network.
layers = [
inputLayer
middleLayers
finalLayers
]
Now, you can leverage this link to get an idea how to perform object detection using R-CNN:

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