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#!/usr/bin/env python3
import subprocess
import zipfile
import tempfile
import os.path as path
import os
import sys
import shutil
import math
import gerber
from gerber.render import GerberCairoContext
import numpy as np
import cv2
def paste_image(target_gerber:str, outline_gerber:str, source_img:np.ndarray, extend_overlay_r_mil:float=12, extend_picture_r_mil:float=2):
outline = gerber.loads(outline_gerber)
(minx, maxx), (miny, maxy) = outline.bounds
grbw, grbh = maxx - minx, maxy - miny
imgh, imgw = source_img.shape
scale = math.ceil(max(imgw/grbw, imgh/grbh)) # scale is in dpi
target = gerber.loads(target_gerber)
(tminx, tmaxx), (tminy, tmaxy) = target.bounds
with tempfile.TemporaryDirectory() as tmpdir:
img_file = path.join(tmpdir, 'target.png')
fg, bg = gerber.render.RenderSettings((1, 1, 1)), gerber.render.RenderSettings((0, 0, 0))
ctx = GerberCairoContext(scale=scale)
ctx.render_layer(target, settings=fg, bgsettings=bg)
ctx.render_layer(outline, settings=fg, bgsettings=bg)
ctx.dump(img_file)
original_img = cv2.imread(img_file, cv2.IMREAD_GRAYSCALE)
r = 1+2*max(1, int(extend_overlay_r_mil/1000 * scale))
target_img = cv2.blur(original_img, (r, r))
_, target_img = cv2.threshold(target_img, 255//(1+r), 255, cv2.THRESH_BINARY)
qr = 1+2*max(1, int(extend_picture_r_mil/1000 * scale))
# source_img = cv2.blur(source_img, (r, r))
# cv2.imwrite('/tmp/03blurred.png', source_img)
source_img = source_img[::-1]
_, source_img = cv2.threshold(source_img, 127, 255, cv2.THRESH_BINARY)
cv2.imwrite('/tmp/06thresh.png', source_img)
tgth, tgtw = target_img.shape
padded_img = np.zeros(shape=(max(imgh, tgth), max(imgw, tgtw)), dtype=source_img.dtype)
offx = int((minx-tminx if tminx < minx else 0)*scale)
offy = int((miny-tminy if tminy < miny else 0)*scale)
offx += int(grbw*scale - imgw) // 2
offy += int(grbh*scale - imgh) // 2
padded_img[offy:offy+imgh, offx:offx+imgw] = source_img
cv2.imwrite('/tmp/10padded.png', padded_img)
cv2.imwrite('/tmp/20target.png', target_img)
out_img = (np.multiply((padded_img/255.0), (target_img/255.0) * -1 + 1) * 255).astype(np.uint8)
cv2.imwrite('/tmp/30multiplied.png', out_img)
cv2.imwrite('/tmp/40vis.png', out_img + original_img)
plot_contours(out_img, target, offx=(min(tminx, minx), min(tminy, miny)), scale=scale)
from gerber.render import rs274x_backend
ctx = rs274x_backend.Rs274xContext(target.settings)
target.render(ctx)
return ctx.dump().getvalue()
def plot_contours(img:np.ndarray, layer:gerber.rs274x.GerberFile, offx:tuple, scale:float, debug=lambda *args:None):
imgh, imgw = img.shape
# Extract contours
img_cont_out, contours, hierarchy = cv2.findContours(img, cv2.RETR_TREE, cv2.CHAIN_APPROX_TC89_KCOS)
aperture = list(layer.apertures)[0]
# XXX
layer.primitives.clear()
from gerber.primitives import Line, Region
debug('offx', offx, 'scale', scale)
xbias, ybias = offx
def map(coord):
x, y = coord
# FIXME sometimes only ybias is needed
return (x/scale, y/scale + ybias)
def contour_lines(c):
return [ Line(map(start), map(end), aperture, level_polarity='dark', units=layer.settings.units)
for start, end in zip(c, np.vstack((c[1:], c[:1]))) ]
done = []
process_stack = [-1]
next_process_stack = []
is_dark = True
while len(done) != len(contours):
for i, (_1, _2, _3, parent) in enumerate(hierarchy[0]):
if parent in process_stack:
contour = contours[i]
polarity = 'dark' if is_dark else 'clear'
debug('rendering {} with parent {} as {} with {} vertices'.format(i, parent, polarity, len(contour)))
debug('process_stack is', process_stack)
debug()
layer.primitives.append(Region(contour_lines(contour[:,0]), level_polarity=polarity, units=layer.settings.units))
next_process_stack.append(i)
done.append(i)
debug('skipping to next level')
process_stack, next_process_stack = next_process_stack, []
is_dark = not is_dark
debug('done', done)
# Utility foo
# ===========
def find_gerber_in_dir(dir_path, file_or_ext):
lname = path.join(dir_path, file_or_ext)
if path.isfile(lname):
with open(lname, 'r') as f:
return lname, f.read()
contents = os.listdir(dir_path)
for entry in contents:
if entry.lower().endswith(file_or_ext.lower()):
lname = path.join(dir_path, entry)
if not path.isfile(lname):
continue
with open(lname, 'r') as f:
return lname, f.read()
raise ValueError('Cannot find file or suffix "{}" in dir {}'.format(file_or_ext, dir_path))
def find_gerber_in_zip(zip_path, file_or_ext):
with zipfile.ZeipFile(zip_path, 'r') as lezip:
nlist = [ item.filename for item in zipin.infolist() ]
if file_or_ext in nlist:
return file_or_ext, lezip.read(file_or_ext)
for n in nlist:
if n.lower().endswith(file_or_ext.lower()):
return n, lezip.read(n)
raise ValueError('Cannot find file or suffix "{}" in zip {}'.format(file_or_ext, dir_path))
def replace_file_in_zip(zip_path, filename, contents):
with tempfile.TemporaryDirectory() as tmpdir:
tempname = path.join(tmpdir, 'out.zip')
with zipfile.ZipFile(zip_path, 'r') as zipin, zipfile.ZipFile(tempname, 'w') as zipout:
for item in zipin.infolist():
if item.filename != filename:
zipout.writestr(item, zipin.read(item.filename))
zipout.writestr(filename, contents)
shutil.move(tempname, zip_path)
def paste_image_file(zip_or_dir, target, outline, source_img):
if path.isdir(zip_or_dir):
tname, target = find_gerber_in_dir(zip_or_dir, target)
_, outline = find_gerber_in_dir(zip_or_dir, outline)
out = paste_image(target, outline, source_img)
# XXX
with open('/tmp/out.GTO', 'w') as f:
# with open(tname, 'w') as f:
f.write(out)
elif zipfile.is_zipfile(zip_or_dir):
tname, target = find_gerber_in_zip(zip_or_dir, target)
_, outline = find_gerber_in_zip(zip_or_dir, outline)
out = paste_image(target, outline, source_img)
replace_file_in_zip(zip_or_dir, tname, out)
else:
raise ValueError('{} does not look like either a folder or a zip file')
# Command line interface
# ======================
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('-t', '--target', default='.GTO', help='Target layer. Filename or extension in target folder/zip')
parser.add_argument('-o', '--outline', default='.GKO', help='Target outline layer. Filename or extension in target folder/zip')
parser.add_argument('zip_or_dir', default='.', nargs='?', help='Optional folder or zip with target files')
parser.add_argument('source', help='Source image')
args = parser.parse_args()
source_img = cv2.imread(args.source, cv2.IMREAD_GRAYSCALE)
paste_image_file(args.zip_or_dir, args.target, args.outline, source_img)
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