Skip to content

Instantly share code, notes, and snippets.

@Calinou
Created March 9, 2015 22:34
Show Gist options
  • Star 7 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save Calinou/5b9bd428079959558ba8 to your computer and use it in GitHub Desktop.
Save Calinou/5b9bd428079959558ba8 to your computer and use it in GitHub Desktop.
InsaneBump GIMP plugin (licensed under GPLv3)
#! /usr/bin/env python
from gimpfu import *
import commands
import glob
import os
import string
import subprocess
suffixes = (['diffuse', '_d'], ['specular', '_s'], ['normal', '_n'], ['height', '_h'], \
['ambient', '_a'], ['highdetail', '_hn'], ['shaperecog', '_sn'], ['lowdetail', '_ln'], \
['mediumdetail', '_mn'])
def genFilenames(filename):
(root, ext)=os.path.splitext(filename)
filenames = {}
for suffix in suffixes:
filenames[suffix[0]] = root + suffix[1] + ext
return filenames
def saveLastOperation(image, filename):
layer = pdb.gimp_image_get_active_layer(image)
pdb.gimp_file_save(image, layer, filename, filename)
def specularEdge(image, filename, level, enhance):
drawable = pdb.gimp_image_get_active_layer(image)
newlayer = pdb.gimp_layer_copy (drawable, 1)
pdb.gimp_image_add_layer(image, newlayer, -1)
pdb.gimp_image_set_active_layer(image, newlayer)
pdb.gimp_desaturate(newlayer)
drawable = pdb.gimp_image_get_active_layer(image)
newlayer = pdb.gimp_layer_copy (drawable, 1)
pdb.gimp_image_add_layer(image, newlayer, -1)
pdb.gimp_image_set_active_layer(image, newlayer)
pdb.gimp_desaturate(newlayer)
if enhance:
pdb.plug_in_dog(image, newlayer, 1.0, 8.0, 1, 0)
else:
pdb.plug_in_dog(image, newlayer, 8.0, 1.0, 1, 0)
#pdb.plug_in_vinvert(image,newlayer)
pdb.gimp_layer_set_mode(newlayer, 7)
pdb.gimp_image_merge_down(image, newlayer, 0)
drawable = pdb.gimp_image_get_active_layer(image)
pdb.gimp_brightness_contrast(drawable, 0, 64)
pdb.gimp_levels(drawable, 0, level, 255, 1, 0, 255)
if not enhance:
pdb.gimp_image_raise_layer_to_top(image, drawable)
pdb.gimp_file_save(image, drawable, filename, filename)
pdb.gimp_edit_clear(drawable)
def removeShading(image):
drawable = pdb.gimp_image_get_active_layer(image)
newlayer = pdb.gimp_layer_copy (drawable, 1)
pdb.gimp_image_add_layer(image, newlayer, -1)
pdb.gimp_image_set_active_layer(image, newlayer)
pdb.plug_in_gauss(image, newlayer, 20.0, 20.0, 0)
pdb.plug_in_vinvert(image, newlayer)
pdb.gimp_layer_set_mode(newlayer, 5)
pdb.gimp_image_merge_visible_layers(image, 0)
def blur(image, diffuse, width, height, passes, normal):
desatdiffuse = pdb.gimp_layer_copy (diffuse, 1)
pdb.gimp_image_add_layer(image, desatdiffuse, -1)
pdb.gimp_image_set_active_layer(image, desatdiffuse)
if normal == 0:
pdb.gimp_desaturate(desatdiffuse)
for i in range(passes):
drawable = pdb.gimp_image_get_active_layer(image)
newlayer = pdb.gimp_layer_copy (drawable, 1)
pdb.gimp_image_add_layer(image, newlayer, -1)
pdb.gimp_image_set_active_layer(image, newlayer)
pdb.plug_in_gauss(image, newlayer, width * 0.05, height * 0.05, 0)
pdb.gimp_layer_set_mode(newlayer, 5)
pdb.gimp_image_merge_down(image, newlayer, 0)
drawable = pdb.gimp_image_get_active_layer(image)
if normal == 1:
pdb.plug_in_normalmap(image, drawable, 0, 0.0, 1.0, 0, 0, 0, 8, 0, 0, 0, 0, 0.0, drawable)
pdb.gimp_layer_set_mode(drawable, 5)
pdb.gimp_image_merge_down(image, drawable, 0)
def sharpen(image, diffuse, depth, filterSize, strength):
sharpnormal = pdb.gimp_layer_copy (diffuse, 1)
pdb.gimp_image_add_layer(image, sharpnormal, -1)
pdb.gimp_image_set_active_layer(image, sharpnormal)
pdb.plug_in_normalmap(image, sharpnormal, 0, 0.0, depth, filterSize, 0, 0, 0, 0, 0, 1, 0, 0.0, sharpnormal)
#pdb.gimp_levels_stretch(sharpnormal)
pdb.gimp_image_set_active_layer(image, sharpnormal)
pdb.gimp_layer_set_mode(sharpnormal, 5)
pdb.gimp_layer_set_opacity(sharpnormal, strength)
pdb.gimp_image_raise_layer_to_top(image, sharpnormal)
def shapeRecognise(image, normalmap, strength):
blurnormal = pdb.gimp_layer_copy (normalmap, 1)
pdb.gimp_image_add_layer(image, blurnormal, -1)
pdb.gimp_image_set_active_layer(image, blurnormal)
pdb.plug_in_gauss(image, blurnormal, 20, 20, 0)
pdb.plug_in_colors_channel_mixer(image, blurnormal, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -200.0)
pdb.plug_in_normalmap(image, blurnormal, 0, 0.0, 1.0, 0, 0, 0, 8, 0, 0, 0, 0, 0.0, blurnormal)
pdb.plug_in_colors_channel_mixer(image, blurnormal, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -200.0)
pdb.gimp_layer_set_mode(blurnormal, 5)
pdb.gimp_layer_set_opacity(blurnormal, strength)
def analyze(layer):
highlights = pdb.gimp_histogram(layer, 0, 179, 256)
midtones = pdb.gimp_histogram(layer, 0, 77, 178)
shadows = pdb.gimp_histogram(layer, 0, 0, 76)
f = open("/tmp/aidata.txt", "w")
f.write(str(int(shadows[0])) + " " + str(int(shadows[1])) + " " + str(int(shadows[5] * 100)) + " ")
f.write(str(int(midtones[0])) + " " + str(int(midtones[1])) + " " + str(int(midtones[5] * 100)) + " ")
f.write(str(int(highlights[0])) + " " + str(int(highlights[1])) + " " + str(int(highlights[5] * 100)) + " ")
def doBaseMap(image, diffuse, depth, passes):
for i in range(passes):
newlayer = pdb.gimp_layer_copy (diffuse, 1)
pdb.gimp_image_add_layer(image, newlayer, -1)
pdb.gimp_image_set_active_layer(image, newlayer)
ok = float(i + 1) * (i + 1)
pdb.plug_in_gauss(image, newlayer, ok * 3, ok * 3, 0)
pdb.plug_in_normalmap(image, newlayer, 5, 0.0, depth * ok, 0, 0, 0, 0, 0, 0, 1, 0, 0.0, newlayer)
if i > 0:
#pdb.gimp_layer_set_opacity(newlayer,50-(i*10))
pdb.gimp_layer_set_mode(newlayer, 5)
pdb.gimp_image_merge_down(image, newlayer, 0)
newlayer = pdb.gimp_image_get_active_layer(image)
pdb.plug_in_normalmap(image, newlayer, 0, 0.0, 1.0, 0, 0, 0, 8, 0, 0, 0, 0, 0.0, newlayer)
drawable = pdb.gimp_image_get_active_layer(image)
#newlayer=pdb.gimp_layer_copy (drawable, 1)
#pdb.gimp_image_add_layer(image,newlayer,-1)
#pdb.gimp_image_set_active_layer(image,newlayer)
#pdb.gimp_levels_stretch(newlayer)
#pdb.gimp_layer_set_opacity(newlayer,100)
#pdb.gimp_layer_set_mode(newlayer,5)
#pdb.gimp_image_merge_down(image,newlayer,0)
def batchnr(img, layer, rmlight, resize, seamless, rszmult, sedge, slevel,
depth, hpasses, mdetail, ldetails, shaperecog, smoothstep, invheight):
filename = pdb.gimp_image_get_filename(img)
mapnames = genFilenames(filename)
image = img
size = pdb.gimp_image_width(image)
if resize:
hiresimg = pdb.gimp_image_resize(image, rszmult * size, rszmult * size, 0, 0)
#hiresimg = pdb.gimp_file_load( getFilename(filename,"_hd"), filename)
drawable = pdb.gimp_image_get_active_layer(hiresimg)
noiselayer = pdb.gimp_layer_copy (drawable, 1)
pdb.gimp_image_add_layer(hiresimg, noiselayer, -1)
pdb.gimp_image_set_active_layer(hiresimg, noiselayer)
pdb.plug_in_rgb_noise(hiresimg, noiselayer, 1, 1, 0.20, 0.20, 0.20, 0)
#pdb.plug_in_blur(hiresimg,noiselayer)
pdb.gimp_layer_set_mode(noiselayer, 14)
pdb.gimp_image_merge_down(hiresimg, noiselayer, 0)
image = hiresimg
drawable = pdb.gimp_image_get_active_layer(image)
###########################analyze(drawable)
if rmlight:
removeShading(image)
diffuse = pdb.gimp_image_get_active_layer(image)
pdb.gimp_levels_stretch(diffuse)
if(seamless):
pdb.plug_in_make_seamless(image, diffuse)
pdb.gimp_file_save(image, diffuse, mapnames['diffuse'], mapnames['diffuse'])
#drawable = pdb.gimp_image_get_active_layer(image)
#pdb.gimp_levels(drawable,0,64,128,1,0,255)
wsize = pdb.gimp_image_width(image)
hsize = pdb.gimp_image_width(image)
blur(image, diffuse, wsize, hsize, hpasses, 0)
normalmap = pdb.gimp_image_get_active_layer(image)
if smoothstep:
pdb.plug_in_blur(image, normalmap)
if invheight:
pdb.plug_in_vinvert(image, normalmap)
pdb.gimp_file_save(image, normalmap, mapnames['height'], mapnames['height'])
#lfnormal=pdb.gimp_layer_copy (diffuse, 1)
#pdb.gimp_image_add_layer(image,lfnormal,-1)
#pdb.gimp_image_raise_layer_to_top(image,lfnormal)
#pdb.plug_in_normalmap(image, lfnormal,8,0.0,depth,0,0,0,0,0,0,0,0,0.0,normalmap)
#blur(image,lfnormal,hpasses,1)
#normalmap = pdb.gimp_image_get_active_layer(image)
doBaseMap(image, diffuse, depth, hpasses)
normalmap = pdb.gimp_image_get_active_layer(image)
pdb.gimp_file_save(image, normalmap, mapnames['highdetail'], mapnames['highdetail'])
shapeRecognise(image, normalmap, shaperecog)
if smoothstep:
normalmap = pdb.gimp_image_get_active_layer(image)
pdb.plug_in_blur(image, normalmap)
saveLastOperation(image, mapnames['shaperecog'])
sharpen(image, diffuse, depth, 0, ldetails)
normalmap = pdb.gimp_image_get_active_layer(image)
pdb.plug_in_sharpen(image, normalmap, 20)
saveLastOperation(image, mapnames['lowdetail'])
sharpen(image, diffuse, depth, 6, mdetail)
normalmap = pdb.gimp_image_get_active_layer(image)
pdb.plug_in_blur(image, normalmap)
saveLastOperation(image, mapnames['mediumdetail'])
pdb.gimp_drawable_set_visible(diffuse, 0)
pdb.gimp_image_merge_visible_layers(image, 0)
drawable = pdb.gimp_image_get_active_layer(image)
pdb.plug_in_normalmap(image, drawable, 0, 0.0, 1.0, 0, 0, 0, 8, 0, 0, 0, 0, 0.0, drawable)
pdb.gimp_file_save(image, drawable, mapnames['normal'], mapnames['normal'])
pdb.plug_in_colors_channel_mixer(image, drawable, 0.0, -200.0, 0.0, 0.0, 0.0, -200.0, 0.0, 0.0, 0.0, 1.0)
pdb.gimp_desaturate(drawable)
pdb.gimp_levels_stretch(drawable)
pdb.gimp_file_save(image, drawable, mapnames['ambient'], mapnames['ambient'])
pdb.gimp_drawable_set_visible(diffuse, 1)
pdb.gimp_image_set_active_layer(image, diffuse)
specularEdge(image, mapnames['specular'], slevel, sedge)
register(
"InsaneBump", "", "", "", "", "",
"<Image>/Filters/Map/Insane...", "",
[
(PF_TOGGLE, "rmlight", "Remove Lighting:", FALSE),
(PF_TOGGLE, "resize", "Resize:", FALSE),
(PF_TOGGLE, "seamless", "Make Seamless:", TRUE),
(PF_INT32, "rszmult", "Resize Multiplier:", 2),
(PF_TOGGLE, "sedge", "Edge Enhance Specular:", TRUE),
(PF_SPINNER, "slevel", "Specular Level:", 64, (0, 255, 1)),
(PF_FLOAT, "depth", "Depth (>0):", 20),
(PF_INT32, "hpasses", "Detail Pass Count:", 3),
(PF_SPINNER, "mdetail", "Medium Detail Intensity:", 50, (0, 100, 1)),
(PF_SPINNER, "ldetails", "Low Detail Intensity:", 50, (0, 100, 1)),
(PF_SPINNER, "shaperecog", "Shape Recognition:", 50, (0, 100, 1)),
(PF_TOGGLE, "smoothstep", "Smooth Step:", TRUE),
(PF_TOGGLE, "invheight", "Invert Height Map:", FALSE),
],
[],
batchnr
)
main()
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment