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