Instructions to use XXXpilar/Fastfill-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use XXXpilar/Fastfill-test with PEFT:
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- Notebooks
- Google Colab
- Kaggle
File size: 5,732 Bytes
e6f80f3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 | """FastFill 2D Floor Plan & Layout Visualizer.
Renders room boundaries, fixed elements (doors/windows/stairs), and object placements
with bounding boxes, IDs, labels, and front orientation arrows.
Usage:
# 1. Visualize a sample from test.jsonl:
python -m fastfill.tools.visualize --data data/v3.1/test.jsonl --index 0 --out room_0.png
# 2. Render the built-in synthetic demonstration:
python -m fastfill.tools.visualize --out demo.png
Requires matplotlib. --data accepts SFT message rows; evaluator predictions are not accepted by this CLI.
"""
import argparse
import json
import math
import os
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
from matplotlib.patches import Polygon as MPoly
import numpy as np
def draw_layout(room, placements, save_path="layout.png"):
fig, ax = plt.subplots(figsize=(9, 9), facecolor="#f8f9fa")
ax.set_facecolor("#ffffff")
# 1. Draw boundary
b = room.get("boundary", [])
if b:
bx, by = zip(*(b + [b[0]]))
ax.plot(bx, by, color="#1a1a1a", lw=3.5, label="Boundary / Wall", zorder=2)
ax.fill(bx, by, facecolor="#f1f3f5", alpha=0.5, zorder=1)
# 2. Draw fixed elements (doors, windows, columns, stairs)
for f in room.get("fixed", []):
x, y = f["pos"][:2]
sx, sy = f["size"][:2]
yaw = math.radians(f.get("yaw", 0))
corners = np.array([
[-sx/2, -sy/2],
[ sx/2, -sy/2],
[ sx/2, sy/2],
[-sx/2, sy/2]
])
R = np.array([[math.cos(yaw), -math.sin(yaw)], [math.sin(yaw), math.cos(yaw)]])
rot = corners @ R.T + np.array([x, y])
ax.add_patch(MPoly(rot, facecolor="#dee2e6", edgecolor="#495057", lw=1.5, hatch="//", zorder=3))
ax.text(x, y, f.get("id", "fixed"), fontsize=7, ha="center", va="center", color="#212529", zorder=4)
# 3. Draw object placements
pmap = {p["id"]: p for p in placements}
colors = ["#4ea8de", "#56cfe1", "#72efdd", "#80ffdb", "#48bfe3", "#64dfdf"]
for idx, obj in enumerate(room.get("objects", [])):
oid = obj["id"]
if oid not in pmap:
continue
p = pmap[oid]
x, y = p["pos"][:2]
sx, sy = obj["size"][:2]
yaw = math.radians(p.get("yaw", 0))
corners = np.array([
[-sx/2, -sy/2],
[ sx/2, -sy/2],
[ sx/2, sy/2],
[-sx/2, sy/2]
])
R = np.array([[math.cos(yaw), -math.sin(yaw)], [math.sin(yaw), math.cos(yaw)]])
rot = corners @ R.T + np.array([x, y])
c = colors[idx % len(colors)]
ax.add_patch(MPoly(rot, facecolor=c, edgecolor="#1d3557", lw=2, alpha=0.85, zorder=5))
# Front arrow pointing along local +X
arrow_len = min(sx, sy) * 0.45
dx = math.cos(yaw) * arrow_len
dy = math.sin(yaw) * arrow_len
ax.arrow(x, y, dx, dy, head_width=0.08, head_length=0.08, fc="#e63946", ec="#e63946", zorder=6)
# Label
label = f"{oid}\n{p.get('yaw', 0)}°"
ax.text(x, y, label, fontsize=8, ha="center", va="center", fontweight="bold", color="#1d3557", zorder=7)
room_type = room.get("room_type", "Room Layout")
ax.set_title(f"FastFill Scene Layout: {room_type} ({len(placements)} objects)", fontsize=13, fontweight="bold", pad=12)
ax.autoscale()
ax.set_aspect("equal")
ax.grid(True, linestyle=":", alpha=0.5, zorder=0)
plt.tight_layout()
os.makedirs(os.path.dirname(os.path.abspath(save_path)), exist_ok=True)
plt.savefig(save_path, dpi=200)
plt.close()
print(f"[Visualizer] Layout saved to {save_path}")
def main():
parser = argparse.ArgumentParser(description="FastFill Layout Visualizer")
parser.add_argument("--data", default=None, help="Path to jsonl file (train/dev/test)")
parser.add_argument("--index", type=int, default=0, help="Line index to visualize")
parser.add_argument("--out", default="layout.png", help="Output PNG path")
args = parser.parse_args()
if not args.data:
# Create a synthetic demo room if no data passed
demo_room = {
"room_type": "bedroom",
"boundary": [[0, 0], [4.5, 0], [4.5, 3.8], [0, 3.8]],
"fixed": [
{"id": "door_1", "size": [0.9, 0.15, 2.0], "pos": [0.8, 0, 0], "yaw": 0},
{"id": "window_1", "size": [1.5, 0.2, 1.2], "pos": [4.5, 2.0, 1.0], "yaw": 90}
],
"objects": [
{"id": "double_bed_1", "size": [2.0, 1.8, 0.8]},
{"id": "nightstand_1", "size": [0.5, 0.5, 0.5]},
{"id": "wardrobe_1", "size": [0.6, 1.6, 2.0]},
{"id": "desk_1", "size": [0.7, 1.2, 0.75]},
{"id": "chair_1", "size": [0.5, 0.5, 0.8]}
]
}
demo_placements = [
{"id": "double_bed_1", "pos": [2.0, 2.7, 0], "yaw": 270},
{"id": "nightstand_1", "pos": [3.3, 2.7, 0], "yaw": 270},
{"id": "wardrobe_1", "pos": [0.4, 2.8, 0], "yaw": 0},
{"id": "desk_1", "pos": [3.8, 0.5, 0], "yaw": 180},
{"id": "chair_1", "pos": [3.2, 0.5, 0], "yaw": 0}
]
draw_layout(demo_room, demo_placements, args.out)
return
with open(args.data, "r", encoding="utf-8") as f:
for i, line in enumerate(f):
if i == args.index:
rec = json.loads(line)
user_msg = json.loads(rec["messages"][1]["content"])
asst_msg = json.loads(rec["messages"][2]["content"])
draw_layout(user_msg, asst_msg.get("placements", []), args.out)
break
if __name__ == "__main__":
main()
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