Jacob Hepkema jacobhepkema
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jacobhepkema
/ folder-batch.ijim
Created
February 13, 2020 13:57
Folder batch processing with ImageJ
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| // Outputs pictures in source folder extra map "out". | |
| // Make sure this folder is not yet there before running this script; otherwise errors | |
| // at 'newArray' below, specify your | |
| // "/main/directory/" | |
| // which should contain subdirectories. | |
| // The subdirectories contain your pictures, | |
| // which are files containing three channels | |
| // (red, green, blue) |
jacobhepkema
/ calculate_conv_out.py
Last active
April 6, 2023 12:54
Calculate convolutional output size
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| import math | |
| def conv_size(in_size, kernel_size, stride, padding): | |
| out_size = in_size - kernel_size + (padding * 2) | |
| if out_size % stride != 0: | |
| print(f'Floor used for {out_size=}, {stride=}') | |
| out_size = math.floor(out_size / stride) | |
| out_size = out_size + 1 | |
| return out_size |
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| theme_Nice <- | |
| function(base_size = 14, | |
| base_family = "Helvetica", | |
| angled = TRUE, | |
| show_legend = TRUE, | |
| axis_text_size = 14) { | |
| return( | |
| theme_bw(base_size = base_size, base_family = base_family) | |
| + theme( | |
| axis.text.x = element_text( |