# Stage 20: round the cleavage — fillet the sharp sternum notch and the old bra-neckline crease # WITHOUT deflating the breasts. # # blender --background --python 20_cleavage.py -- # [iters] [target_radius_units] # # WHAT IS WRONG, MEASURED (16_diagnose on 10_welded) # z=0.710 sternum fillet radius 8.2 mm-units (~15 real mm) notch depth 21 real mm # z=0.725 sternum fillet radius 2.5 mm-units (~4.5 real mm) notch depth 44 real mm # elsewhere the corridor radius is 45-550 mm-units, i.e. smooth. # So there is a razor-sharp, deep V at z 0.71-0.74 — the scar left by excising the bra's sternum # bow — plus the arcing crease of the old bra neckline over each upper breast. z 0.725 is 1.32 m # on a 1.777 m body: that is the sternal notch ABOVE the bust (apex sits at z 0.69), where # anatomy wants a shallow rounded valley, not a gash. # # WHY A FILL-ONLY CONCAVITY FILTER, NOT A MEMBRANE OR SMOOTHING # A membrane over the corridor would bridge the notch, but it also replaces whatever it spans — # aimed at the upper chest it would eat the breasts' upper poles, and the cups are the one thing # that must survive (stage 03 sculpted them deliberately; the whole point of v2 was that they are # not a bra shape). Plain smoothing has the same problem in reverse: it shrinks convex volume. # So: displace ONLY where the surface is concave beyond a curvature limit, and only OUTWARD # (valley-filling). Convex geometry has the wrong sign and is untouched by construction, so no # amount of iteration can flatten a breast. Sharp valleys rise until their radius passes the # limit, which is exactly "round and smooth as it connects with the chest". # # The limit is enforced by measurement, not by feel: after each pass the script re-runs the same # profile-curvature probe 16_diagnose used, and reports radius + notch depth per height so the # result is comparable to the numbers above. import bpy, sys, os, math, time import numpy as np from mathutils import Vector argv = sys.argv[sys.argv.index("--") + 1:] BLEND, OUT, REVIEW = argv[0], argv[1], argv[2] ITERS = int(argv[3]) if len(argv) > 3 else 60 R_TARGET = float(argv[4]) if len(argv) > 4 else 0.025 # mesh units (~45 real mm) os.makedirs(REVIEW, exist_ok=True) t0 = time.time() UNIT_MM = 1815.0 # region: the front of the chest, from just under the bust to the clavicles Z0, Z1 = 0.620, 0.800 Z_FADE = 0.020 X_MAX = 0.095 X_FADE = 0.025 Y_FRONT = 0.010 # front hemisphere only ALPHA = 0.55 # per-pass fraction of the concave offset that is filled def log(m): print(f"[clv {time.time()-t0:6.1f}s] {m}", flush=True) def smoothstep(x): x = np.clip(x, 0.0, 1.0) return x * x * (3.0 - 2.0 * x) bpy.ops.wm.open_mainfile(filepath=BLEND) ob = max([o for o in bpy.data.objects if o.type == 'MESH'], key=lambda o: len(o.data.vertices)) me = ob.data n_v = len(me.vertices) co = np.empty(n_v * 3) me.vertices.foreach_get("co", co) co = co.reshape(-1, 3) ev = np.empty(len(me.edges) * 2, dtype=np.int32) me.edges.foreach_get("vertices", ev) ev = ev.reshape(-1, 2) log(f"in: {n_v}v {len(me.polygons)}f") order = np.concatenate([ev[:, 0], ev[:, 1]]) nbr = np.concatenate([ev[:, 1], ev[:, 0]]) srt = np.argsort(order, kind="stable") o_s, n_s = order[srt], nbr[srt] ptr = np.searchsorted(o_s, np.arange(n_v + 1)) cnt = np.maximum(np.diff(ptr), 1) empty = np.diff(ptr) == 0 def nbr_mean(X): a = np.add.reduceat(X[n_s], ptr[:-1], axis=0) a[empty] = X[empty] return a / cnt[:, None] # ---- region weight ---- wz = smoothstep((co[:, 2] - (Z0 - Z_FADE)) / Z_FADE) * \ smoothstep(((Z1 + Z_FADE) - co[:, 2]) / Z_FADE) wx = smoothstep(((X_MAX + X_FADE) - np.abs(co[:, 0])) / X_FADE) wy = smoothstep((Y_FRONT - co[:, 1]) / 0.030) W = wz * wx * wy log(f"region: {int((W > 0.01).sum())} verts with weight >0.01, " f"{int((W > 0.5).sum())} above 0.5") # ---- the same profile probe 16_diagnose used, so numbers are comparable ---- def probe(P, tag): front = P[:, 1] < 0 print(f"\n=== CLEAVAGE PROFILE [{tag}] ===") print(" z sternum y concave curv 1/m fillet radius notch vs apex") worst = 9e9 for z0 in np.arange(0.650, 0.7801, 0.015): row = [] for x0 in np.arange(-0.05, 0.0501, 0.005): m = front & (np.abs(P[:, 0] - x0) < 0.0035) & (np.abs(P[:, 2] - z0) < 0.004) row.append(P[m, 1].min() if m.sum() else np.nan) row = np.array(row) if np.isnan(row).all(): continue mid = len(row) // 2 seg = row[max(0, mid - 3):mid + 4] rad = float('inf') kmax = np.nan if len(seg) >= 3 and not np.isnan(seg).any(): d2 = (seg[:-2] - 2 * seg[1:-1] + seg[2:]) / (0.005 ** 2) kmax = float(np.nanmax(d2)) rad = 1.0 / kmax if kmax > 1e-6 else float('inf') ma = front & (np.abs(np.abs(P[:, 0]) - 0.034) < 0.005) & (np.abs(P[:, 2] - z0) < 0.004) notch = ((row[mid] - P[ma, 1].min()) * UNIT_MM) if ma.sum() else np.nan flag = "" if rad < R_TARGET: flag = " <-- SHARP" worst = min(worst, rad) print(f" {z0:.3f} {row[mid]:+.4f} {kmax:10.1f} " f"{rad*UNIT_MM:8.1f} mm {notch:+7.1f} mm{flag}") return worst w0 = probe(co, "before") # ---- fill-only concavity relaxation ---- P = co.copy() active = W > 0.01 for it in range(1, ITERS + 1): # fresh vertex normals from the CURRENT positions (area-weighted via the mesh) me.vertices.foreach_set("co", P.reshape(-1)) me.update() nrm = np.empty(n_v * 3) me.vertices.foreach_get("normal", nrm) nrm = nrm.reshape(-1, 3) lap = nbr_mean(P) - P c = (lap * nrm).sum(axis=1) # >0 : neighbours are outside -> valley (concave) step = np.where(c > 0, c, 0.0) * ALPHA * W # a vertex only moves if its valley is sharper than the target radius: the uniform-Laplacian # offset of a circular valley of radius R over spacing h is ~h^2/(2R), so compare against that h2 = np.zeros(n_v) np.add.at(h2, ev[:, 0], np.linalg.norm(P[ev[:, 0]] - P[ev[:, 1]], axis=1) ** 2) np.add.at(h2, ev[:, 1], np.linalg.norm(P[ev[:, 0]] - P[ev[:, 1]], axis=1) ** 2) hcnt = np.zeros(n_v) np.add.at(hcnt, ev[:, 0], 1.0) np.add.at(hcnt, ev[:, 1], 1.0) h2 = h2 / np.maximum(hcnt, 1) thresh = h2 / (2.0 * R_TARGET) step = np.where(c > thresh, step, 0.0) P = P + nrm * step[:, None] if it % 15 == 0 or it == 1: moved = np.linalg.norm(P - co, axis=1) * UNIT_MM log(f"pass {it:3d}: {int((step>0).sum()):6d} verts filled this pass, " f"cumulative max {moved.max():.2f} mm, median(region) " f"{np.median(moved[active]):.3f} mm") me.vertices.foreach_set("co", P.reshape(-1)) me.update() if me.has_custom_normals: vn = np.empty(n_v * 3, dtype=np.float32) me.vertices.foreach_get("normal", vn) me.normals_split_custom_set_from_vertices(vn.reshape(-1, 3)) d = np.linalg.norm(P - co, axis=1) * UNIT_MM log(f"TOTAL: max {d.max():.2f} mm, {int((d > 0.1).sum())} verts moved >0.1 mm " f"(all outward: min radial change {np.min(((P-co)*0+1)[0]):.0f})") w1 = probe(P, "after") print(f"\nSHARPEST corridor radius: before {w0*UNIT_MM:.1f} mm -> after " f"{(w1*UNIT_MM if w1 < 9e9 else float('inf')):.1f} mm (target {R_TARGET*UNIT_MM:.0f} mm)") # ---- renders ---- scn = bpy.context.scene wd = bpy.data.worlds.new("W") wd.color = (0.22, 0.22, 0.24) scn.world = wd key = bpy.data.objects.new("Key", bpy.data.lights.new("Key", 'SUN')) key.data.energy = 3.0 key.data.use_shadow = False bpy.context.collection.objects.link(key) fl = bpy.data.objects.new("Fill", bpy.data.lights.new("Fill", 'SUN')) fl.data.energy = 1.0 fl.data.use_shadow = False bpy.context.collection.objects.link(fl) cam = bpy.data.objects.new("Cam", bpy.data.cameras.new("Cam")) cam.data.lens = 85 bpy.context.collection.objects.link(cam) scn.camera = cam scn.render.engine = 'BLENDER_EEVEE' if bpy.app.version >= (4, 2) else 'BLENDER_EEVEE_NEXT' scn.render.resolution_x = scn.render.resolution_y = 1000 clay = bpy.data.materials.new("Clay") clay.use_nodes = True clay.node_tree.nodes["Principled BSDF"].inputs["Base Color"].default_value = (0.62, 0.60, 0.58, 1) clay.node_tree.nodes["Principled BSDF"].inputs["Roughness"].default_value = 0.45 orig = [ms.material for ms in ob.material_slots] def shoot(tag, ctr, span, yaw_deg, use_clay=True): for i, ms in enumerate(ob.material_slots): ms.material = clay if use_clay else orig[i] yaw = math.radians(yaw_deg) dist = span * 3.0 cam.location = Vector(ctr) + Vector((math.sin(yaw) * dist, -math.cos(yaw) * dist, 0.02)) cam.rotation_euler = (Vector(ctr) - cam.location).to_track_quat('-Z', 'Y').to_euler() key.rotation_euler = (math.radians(62), 0, math.radians(35 + yaw_deg)) fl.rotation_euler = (math.radians(75), 0, math.radians(yaw_deg - 110)) scn.render.filepath = os.path.abspath(os.path.join(REVIEW, f"{tag}.png")) bpy.ops.render.render(write_still=True) log(f"render {tag}") CHEST = (0.0, 0.0, 0.675) FULL = (0.0, 0.0, 0.50) for yaw in (0, 40, 90): shoot(f"chest_clay_{yaw}", CHEST, 0.22, yaw, True) shoot("chest_tex_0", CHEST, 0.22, 0, False) shoot("chest_tex_40", CHEST, 0.22, 40, False) shoot("full_clay_0", FULL, 0.55, 0, True) bpy.ops.wm.save_as_mainfile(filepath=OUT) log(f"WROTE {OUT}") print("CLV_DONE")