ani

2026-08-09 01:31:44 -04:00
parent 922983429e
commit 9358746582
43 changed files with 4324 additions and 481 deletions
@@ -0,0 +1,65 @@
+extends SceneTree
+
+## Regression audit for the grazing-angle dark band that the ink post-process
+## used to paint across flat roads and walls. The sampled view reproduces the
+## original report exactly; both distant road samples must remain close to an
+## unobstructed road sample nearer the camera.
+
+const MAP := "res://scenes/maps/sakura_crossing/sakura_crossing.tscn"
+const FAR_ROAD_UVS := [Vector2(0.46875, 0.52778), Vector2(0.4948, 0.537)]
+const REFERENCE_ROAD_UV := Vector2(0.5, 0.62)
+const MIN_LUMINANCE_RATIO := 0.75
+
+
+func _sample(image: Image, uv: Vector2) -> Color:
+	var x := clampi(roundi(uv.x * image.get_width()), 0, image.get_width() - 1)
+	var y := clampi(roundi(uv.y * image.get_height()), 0, image.get_height() - 1)
+	return image.get_pixel(x, y)
+
+
+func _initialize() -> void:
+	_run()
+
+
+func _run() -> void:
+	var level := (load(MAP) as PackedScene).instantiate()
+	root.add_child(level)
+	for _i in 120:
+		await process_frame
+
+	var camera := Camera3D.new()
+	camera.fov = 70.0
+	camera.far = 1200.0
+	level.add_child(camera)
+	camera.current = true
+	camera.global_position = Vector3(-4.0, 1.7, -30.0)
+	camera.look_at(Vector3(80.0, 1.7, -30.0), Vector3.UP)
+	for _i in 6:
+		await process_frame
+
+	var image := root.get_texture().get_image()
+	var reference_luma := _sample(image, REFERENCE_ROAD_UV).get_luminance()
+	var minimum_far_luma := 1.0
+	for uv in FAR_ROAD_UVS:
+		minimum_far_luma = minf(minimum_far_luma, _sample(image, uv).get_luminance())
+	var ratio := minimum_far_luma / maxf(reference_luma, 0.001)
+	var failed := ratio < MIN_LUMINANCE_RATIO
+	if failed:
+		push_error("GROUND_BAND_AUDIT dark distant road: far/reference=%.3f (minimum %.3f)" % [
+			ratio, MIN_LUMINANCE_RATIO])
+	else:
+		print("GROUND_BAND_AUDIT PASS far/reference=%.3f" % ratio)
+
+	var args := OS.get_cmdline_user_args()
+	if not args.is_empty():
+		var output := args[0]
+		if not output.is_absolute_path():
+			output = ProjectSettings.globalize_path(output)
+		DirAccess.make_dir_recursive_absolute(output.get_base_dir())
+		image.save_png(output)
+		print("GROUND_BAND_AUDIT saved ", output)
+
+	level.queue_free()
+	for _i in 6:
+		await process_frame
+	quit(1 if failed else 0)