microscopy-object-detection
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Data shape in convolutional layer with data sets such as intestinal parasites and plasmodium (motic)
intestinal parasites
In convolutional Layer, how you are getting
7x56x56 (it should be 7x58x58) - intestinal parasites
7x21x21 (it should be 7x23x23) - plasmodium (motic)
intestinal parasites
Layer information
name size
0 input 3x60x60 1 conv1 7x56x56 ((60-3)/1) + 1 = 58 (how 56?) 2 pool1 7x28x28 3 conv2 12x27x27 4 hidden3 500 5 output 2
tuberculosis
Layer information
name size
0 input 3x20x20 1 conv1 7x18x18 ((20-3)/1) + 1 = 18 2 pool1 7x9x9 3 conv2 12x8x8 4 hidden3 100 5 output 2
plasmodium (motic)
Layer information
name size
0 input 3x25x25 1 conv1 7x21x21 ((25-3)/1) + 1 = 23 (how 21?) 2 pool1 7x10x10 3 conv2 12x9x9 4 hidden3 500 5 output 2
plasmodium (phone)
Layer information
name size
0 input 3x20x20 1 conv1 7x18x18 ((20-3)/1) + 1 = 18 2 pool1 7x9x9 3 conv2 12x8x8 4 hidden3 500 5 output 2