Hi! i'm using Faster r-cnn code for my own task.
i trained faster rcnn sucessfully with my own datasets ( 3-channel RGB).
But i want to modify original network to has 2 input data layer (3-channel RGB + 3-channel IR) or 6-channel data.
Since in faster rcnn code, the 'Python type' input data layer has 3-channels imdb data foramt like below.
name: "VGG_CNN_M_1024"
layer {
name: 'data'
type: 'Python'
top: 'data'
top: 'rois'
top: 'labels'
top: 'bbox_targets'
top: 'bbox_inside_weights'
top: 'bbox_outside_weights'
python_param {
module: 'roi_data_layer.layer'
layer: 'RoIDataLayer'
param_str: "'num_classes': 2"
}
My questions are
1) is there any method imdb data has 6-channel inputs?
2) How to modify faster rcnn code to has two different imdb data as inputs ?
Any clue or advise will be greatly helpful for me....
thanks..