Hi all and thank you for responding to my questions in advance!
I am trying to obtain a simple understanding of the negative and postive ranges.
I read the documentation in matalb for the understanding but i still don't get it and the explanation there is still complex!
'PositiveOverlapRange' A two-element vector that specifies a range of
Default: [0.5 1]
'NegativeOverlapRange' A two-element vector that specifies a range of
Default: [0.1 0.5]
I am aware of what 3 variables after the trainRCNNObjectDetector are and what they do and how to achieve this! but ranges are confusing me understanding!
my questions in regards to image processing;
- what is the threshold actually controlling/ doing for the positive and negative overlap range
- Is there a link to understand this on youtube etc to get a simple break down of what this does or is? I have been trying this but maybe my terminology is incrorrect!!
- I specified only the negative range, what happends when I don't specify the positive range?
- what happends when i specify both positive and negative ranges?
- what am I really telling the system to do actually?!!!?!?!!!?!
- if I modify the Positive Overlap Range, What am I Actually Doing, Same for the Negative Over Lap Range?
I have my code taken from the rcnn stop sign example in math lab;
rcnn = trainRCNNObjectDetector(BCombineData, Tlayers, options, 'NegativeOverlapRange', [0 0.3]);
rcnn = trainRCNNObjectDetector(BCombineData, Tlayers, options, 'PositiveOverlapRange', [0.5 1] ,'NegativeOverlapRange', [0 0.3]);
network = rcnn.Network;
layers = network.Layers;