Experimental: push |J| heatmap overlays into KiCad (dialog opt-in)
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After a solve, the per-layer current-density maps can be pushed into
the open board as reference images on User.9..User.12 (stackup order,
top first) - visible right in the editor, toggled like any layer,
never plotted to gerbers. Dialog checkbox, default OFF; every push
replaces all reference images on those layers.

Rendering (fill_resistance/overlay.py, KiCad-free and tested headless):
one pixel per grid cell, opaque over copper with the log scale lifted
off the colormap's near-black bottom (dark canvas), transparent
elsewhere, one pixel of half-alpha edge bleed so the overlay reaches
the drawn outline instead of stopping half a cell short. Pushing lives
in board_io (ReferenceImage via the IPC API, KiCad >= 10.0.1; scale =
width / (pixels * 1 inch / 300 PPI), position = image center); kipy
0.7.1 swallows creation errors, so the per-item status is read from
the raw CreateItemsResponse. pipeline.run takes an optional overlay
callback; failures are reported, never fatal.

tools/kicad_overlay_test.py pushes a fiducial alignment pattern (KiCad
bbox readback verified placement to half a pixel); tools/
kicad_heatmap_overlay.py runs the whole thing headless against the
open board, filtering marker rectangles of other nets' analyses via
the exact copper test.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
janik
2026-07-17 20:39:13 +07:00
parent 666abaa50f
commit bfb97d5259
10 changed files with 543 additions and 3 deletions
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"""Standalone runner for the EXPERIMENTAL in-KiCad result overlays
(also available as a dialog checkbox in the plugin): solve the open
board headlessly and push per-layer |J| heatmaps as unlocked
ReferenceImages, transparent outside copper.
python tools/kicad_heatmap_overlay.py --net VOUT+ --amps 45
-> all included copper layers onto config.OVERLAY_LAYERS
(User.9..User.12, stackup order, top first)
python tools/kicad_heatmap_overlay.py --net X --source B.Cu --dest Eco1.User
-> a single layer wherever you want
Needs KiCad >= 10.0.1 with the board open, electrode markers or a
selection as in a normal plugin run, and the destination layers enabled
in Board Setup. Re-running replaces the previous overlays. Remove with
tools/kicad_overlay_test.py --remove --layer <dest>.
"""
import argparse
import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
from kipy.board_types import ReferenceImage
from kipy.geometry import Vector2
from kipy.util.board_layer import layer_from_canonical_name
from fill_resistance import config, raster, solver
from fill_resistance import board_io as bio
from fill_resistance.overlay import heatmap_png
def extract_problem(board, net_arg=None):
"""Same flow as `python -m fill_resistance.board_io` (dump path)."""
# a clicked overlay must not switch the electrode scan into
# selection mode - reference images can never be contacts
sel = list(board.get_selection())
if sel and all(isinstance(s, ReferenceImage) for s in sel):
board.clear_selection()
stackup = bio.get_stackup_info(board)
es1, es2, net_hint = bio.get_electrodes(board, stackup)
if bio.any_zone_unfilled(board):
bio.refill(board)
fills = bio.gather_net_fills(board)
tracks = bio.gather_net_tracks(board) if config.INCLUDE_TRACKS else {}
copper = bio.merge_copper(fills, bio.tracks_as_polygons(tracks))
nets = bio.nets_overlapping(copper, es1, es2)
if net_arg:
net = net_arg
elif net_hint in nets:
net = net_hint
elif len(nets) == 1:
net = nets[0]
else:
raise SystemExit(f"candidate nets: {nets}; pass one with --net")
# marker rectangles may exist for SEVERAL nets (board-wide scan):
# keep only the parts overlapping the chosen net's copper
per_layer = copper.get(net, {})
def on_net(e):
return any(bio._rect_overlaps(e.rect, polys)
for polys in per_layer.values())
es1, es2 = [e for e in es1 if on_net(e)], [e for e in es2 if on_net(e)]
if not es1 or not es2:
raise SystemExit(f"no V+/V- marker overlaps {net} copper")
print(f"{len(es1)} V+ / {len(es2)} V- marker(s) on {net}")
return bio.build_problem(board, net, list(per_layer), es1, es2,
stackup, fills, tracks=tracks)
def main() -> None:
ap = argparse.ArgumentParser(description=__doc__)
ap.add_argument("--source", default=None,
help="single copper layer to overlay (default: ALL "
"included layers onto config.OVERLAY_LAYERS)")
ap.add_argument("--dest", default=None,
help="destination layer for --source (default User.9; "
"must be enabled in Board Setup)")
ap.add_argument("--net", default=None, help="net name (default: auto)")
ap.add_argument("--amps", type=float, default=None,
help="test current [A] (default: config)")
ap.add_argument("--lock", action="store_true",
help="lock the overlays (default unlocked: easier to "
"delete; reruns replace them either way)")
ap.add_argument("--alpha", type=int, default=None,
help="overlay opacity over copper, 0-255 (default "
"config.OVERLAY_ALPHA)")
args = ap.parse_args()
if args.alpha is not None:
config.OVERLAY_ALPHA = args.alpha
_, board = bio.connect()
problem = extract_problem(board, args.net)
h = raster.choose_cell_size(problem.copper_bbox(), len(problem.layers))
print(f"rasterizing at {h / 1000:.1f} um ...")
stack = raster.rasterize_stack(problem, h)
# board-wide marker scan: drop parts that land on no copper of THIS
# net (markers belonging to other nets' analyses)
for name in ("electrodes1", "electrodes2"):
parts = getattr(problem, name)
keep = [e for e in parts
if raster._part_mask3d(stack, problem, e).any()]
if len(keep) != len(parts):
print(f"ignoring {len(parts) - len(keep)} marker(s) off-net "
f"({name[-1] == '1' and 'V+' or 'V-'})")
if not keep:
raise SystemExit(f"no {name} marker lands on this net's copper")
setattr(problem, name, keep)
e1, e2 = raster.electrode_masks(stack, problem)
i_test = args.amps if args.amps is not None else config.TEST_CURRENT_A
print(f"solving @ {i_test:g} A DC ...")
result = solver.run_solve(problem, stack, e1, e2, i_test)
print(f"R = {result.R_ohm * 1e3:.4f} mOhm, P = {result.P_total:.3f} W "
f"@ {i_test:g} A")
if args.source is None:
bio.push_result_overlays(board, stack, result, lock=args.lock)
return
names = stack.layer_names
if args.source not in names:
raise SystemExit(f"layer {args.source} not in solve ({names})")
png = heatmap_png(result.Jmag * 1e-6, names.index(args.source))
ny, nx = stack.shape2d
w_nm, h_nm = nx * stack.h_nm, ny * stack.h_nm
dest_name = args.dest or "User.9"
dest = layer_from_canonical_name(dest_name)
n = bio.remove_overlays(board, dest)
ref = ReferenceImage()
ref.layer = dest
ref.position = Vector2.from_xy(round(stack.x0_nm + w_nm / 2),
round(stack.y0_nm + h_nm / 2))
ref.image_scale = w_nm / (nx * bio.OVERLAY_PIX_NM)
ref.image_data = png
ref.locked = args.lock
bio._create_reference_image(board, ref)
print(f"{args.source} -> {dest_name} ({nx}x{ny} px, "
f"{len(png) / 1024:.0f} kB" + (f", replaced {n}" if n else "") + ")")
if __name__ == "__main__":
main()
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"""Route-A experiment: push a bitmap overlay into the open KiCad board as
a locked ReferenceImage on a User layer via the IPC API.
Pushes a fiducial test pattern (corner + center crosshairs, 10 mm grid,
translucent gradient) sized to the board outline so alignment and scale
can be verified by eye in the editor. Re-running replaces the previous
overlay. Requires KiCad >= 10.0.1 (ReferenceImage over the API).
python tools/kicad_overlay_test.py [--layer Cmts.User] [--remove]
python tools/kicad_overlay_test.py --image heat.png --bbox x0,y0,x1,y1
(mm; push an arbitrary PNG instead)
The overlay is editor-only: reference images never plot to gerbers.
Delete it any time by selecting it in KiCad (it sits on the chosen
layer) or with --remove. The layer must be enabled in Board Setup:
User.1..User.45 usually are NOT (KiCad refuses the item with 'no
overlapping layers with the board'); Cmts.User/Eco1.User always exist.
"""
import argparse
import io
import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
from kipy.board_types import ReferenceImage
from kipy.geometry import Vector2
from kipy.util.board_layer import canonical_name, layer_from_canonical_name
from fill_resistance.board_io import (OVERLAY_PIX_NM as PIX_NM,
_create_reference_image, connect,
remove_overlays)
NM = 1_000_000
def board_bbox_nm(board):
"""Union bbox of the Edge.Cuts shapes (fallback: all pads)."""
items = [s for s in board.get_shapes()
if canonical_name(s.layer) == "Edge.Cuts"]
if not items:
items = list(board.get_pads())
if not items:
raise SystemExit("board has no Edge.Cuts shapes and no pads")
x0 = y0 = None
x1 = y1 = None
for it in items:
box = board.get_item_bounding_box(it)
if box is None:
continue
lo_x, lo_y = box.pos.x, box.pos.y
hi_x, hi_y = lo_x + box.size.x, lo_y + box.size.y
x0 = lo_x if x0 is None else min(x0, lo_x)
y0 = lo_y if y0 is None else min(y0, lo_y)
x1 = hi_x if x1 is None else max(x1, hi_x)
y1 = hi_y if y1 is None else max(y1, hi_y)
return x0, y0, x1, y1
def fiducial_png(w_nm: float, h_nm: float, px_per_mm: float = 16.0):
"""RGBA test pattern: translucent gradient, 10 mm grid, opaque
crosshairs at the four corners and the center."""
import numpy as np
from PIL import Image
w_px = max(2, round(w_nm / NM * px_per_mm))
h_px = max(2, round(h_nm / NM * px_per_mm))
xx = np.linspace(0.0, 1.0, w_px)[None, :]
yy = np.linspace(0.0, 1.0, h_px)[:, None]
rgba = np.zeros((h_px, w_px, 4), dtype=np.uint8)
rgba[..., 0] = (255 * xx).astype(np.uint8) # red ramp ->
rgba[..., 2] = (255 * yy).astype(np.uint8) # blue ramp v
rgba[..., 1] = 60
rgba[..., 3] = 70 # mostly see-through
step = round(10.0 * px_per_mm) # 10 mm grid
for x in range(0, w_px, step):
rgba[:, x:x + 2, :3] = 255
rgba[:, x:x + 2, 3] = 150
for y in range(0, h_px, step):
rgba[y:y + 2, :, :3] = 255
rgba[y:y + 2, :, 3] = 150
def cross(cx, cy, arm=round(3 * px_per_mm)):
x_lo, x_hi = max(0, cx - arm), min(w_px, cx + arm + 1)
y_lo, y_hi = max(0, cy - arm), min(h_px, cy + arm + 1)
cy2 = np.clip(cy, 0, h_px - 2)
cx2 = np.clip(cx, 0, w_px - 2)
rgba[cy2:cy2 + 2, x_lo:x_hi] = (255, 0, 0, 255)
rgba[y_lo:y_hi, cx2:cx2 + 2] = (255, 0, 0, 255)
for cx in (0, w_px - 1):
for cy in (0, h_px - 1):
cross(cx, cy)
cross(w_px // 2, h_px // 2)
buf = io.BytesIO()
# no dpi= : without a density chunk KiCad assumes the 300 PPI default
Image.fromarray(rgba, "RGBA").save(buf, format="PNG")
return buf.getvalue(), w_px, h_px
def main() -> None:
ap = argparse.ArgumentParser(description=__doc__)
ap.add_argument("--layer", default="Cmts.User",
help="destination layer (default Cmts.User; must be "
"enabled in Board Setup)")
ap.add_argument("--remove", action="store_true",
help="only remove existing overlays on the layer")
ap.add_argument("--image", help="push this PNG instead of the pattern")
ap.add_argument("--bbox", help="x0,y0,x1,y1 [mm] for --image")
args = ap.parse_args()
_, board = connect()
layer = layer_from_canonical_name(args.layer)
n = remove_overlays(board, layer)
if n:
print(f"removed {n} previous overlay(s) on {args.layer}")
if args.remove:
return
if args.image:
if not args.bbox:
raise SystemExit("--image needs --bbox x0,y0,x1,y1 [mm]")
x0, y0, x1, y1 = (float(v) * NM for v in args.bbox.split(","))
png = Path(args.image).read_bytes()
from PIL import Image
w_px, h_px = Image.open(io.BytesIO(png)).size
else:
x0, y0, x1, y1 = board_bbox_nm(board)
png, w_px, h_px = fiducial_png(x1 - x0, y1 - y0)
scale = (x1 - x0) / (w_px * PIX_NM)
ref = ReferenceImage()
ref.layer = layer
ref.position = Vector2.from_xy(round((x0 + x1) / 2), round((y0 + y1) / 2))
ref.image_scale = scale
ref.image_data = png
ref.locked = False # unlocked: easy to delete; reruns replace
_create_reference_image(board, ref)
got = [r for r in board.get_reference_images() if r.layer == layer]
print(f"pushed {len(png) / 1024:.0f} kB PNG ({w_px}x{h_px} px) onto "
f"{args.layer}: {(x1 - x0) / NM:.2f} x {(y1 - y0) / NM:.2f} mm at "
f"({x0 / NM:.2f}, {y0 / NM:.2f}) mm, scale {scale:.4f}")
for r in got:
print(f"readback: {r!r}")
print(f"-> enable layer '{args.layer}' in the Appearance panel; the "
f"red crosshairs must sit on the board bbox corners/center and "
f"the white grid must be 10 mm. Remove with --remove.")
if __name__ == "__main__":
main()