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781f636 a6f073a 781f636 a6f073a 781f636 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 | #!/usr/bin/env python3
"""Render the long-form OrbitSight review proposal and its supporting charts."""
from __future__ import annotations
import re
import textwrap
from pathlib import Path
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
from matplotlib.backends.backend_pdf import PdfPages
ROOT = Path(__file__).resolve().parents[1]
SOURCE = ROOT / "docs" / "OrbitSight_Full_Technical_Proposal_Review.md"
OUTPUT = ROOT / "docs" / "OrbitSight_Full_Technical_Proposal_Review.pdf"
ASSETS = ROOT / "docs" / "full_proposal_assets"
NAVY = "#15253b"
BLUE = "#2274a5"
CYAN = "#42b3c7"
RED = "#b33a3a"
GREY = "#5f6b76"
LIGHT = "#eef3f6"
def make_model_evolution() -> None:
stages = [
"First honest\nbaseline",
"Early\ntraining",
"V5 + gates",
"V7",
"Heavy\nhybrid",
"Initial\nstudent",
"Final\nstudent",
]
f1 = [0.0364, 0.5150, 0.6298, 0.5954, 0.6683, 0.6229, 0.6292]
map_scores = [0.0096, 0.2200, 0.3804, 0.3585, 0.4895, 0.4608, 0.4645]
x = range(len(stages))
fig, ax = plt.subplots(figsize=(11.2, 5.4))
fig.patch.set_facecolor("white")
ax.plot(x, f1, marker="o", linewidth=2.5, color=BLUE, label="Leakage-free F1")
ax.plot(x, map_scores, marker="o", linewidth=2.5, color=CYAN, label="Leakage-free mAP")
for index, value in enumerate(f1):
ax.text(index, value + 0.022, f"{value:.3f}", ha="center", fontsize=8, color=NAVY)
for index, value in enumerate(map_scores):
ax.text(index, value - 0.045, f"{value:.3f}", ha="center", fontsize=8, color=GREY)
ax.set_xticks(list(x), stages)
ax.set_ylim(0, 0.76)
ax.set_ylabel("Score")
ax.set_title("OrbitSight development: accuracy improved, then latency became the constraint", loc="left", fontweight="bold", color=NAVY)
ax.grid(axis="y", alpha=0.22)
ax.spines[["top", "right"]].set_visible(False)
ax.legend(frameon=False, ncol=2, loc="upper left")
ax.text(
0,
-0.27,
"Early-training 0.515/0.220 is a historical validation checkpoint and is not strictly comparable to the later locked evaluations.",
transform=ax.transAxes,
fontsize=8,
color=GREY,
)
fig.subplots_adjust(left=0.08, right=0.98, top=0.86, bottom=0.27)
fig.savefig(ASSETS / "model_evolution.png", dpi=180, bbox_inches="tight")
plt.close(fig)
def make_heavy_vs_student() -> None:
labels = ["Heavy V5/V7 hybrid", "Distilled CPU student"]
params = [8_588_339, 135_111]
latency = [383.0, 17.05]
fig, axes = plt.subplots(1, 2, figsize=(11.2, 4.8))
fig.patch.set_facecolor("white")
colors = [RED, BLUE]
axes[0].barh(labels, params, color=colors)
axes[0].set_xscale("log")
axes[0].set_title("Parameters (log scale)", loc="left", fontweight="bold", color=NAVY)
axes[0].set_xlabel("Parameters")
for idx, value in enumerate(params):
axes[0].text(value * 1.08, idx, f"{value:,}", va="center", fontsize=9)
axes[1].barh(labels, latency, color=colors)
axes[1].axvline(40, color=NAVY, linestyle="--", linewidth=1.5, label="40 ms requirement")
axes[1].set_title("Measured CPU latency", loc="left", fontweight="bold", color=NAVY)
axes[1].set_xlabel("Mean milliseconds per window")
axes[1].legend(frameon=False, fontsize=8)
for idx, value in enumerate(latency):
axes[1].text(value + 6, idx, f"{value:.2f} ms", va="center", fontsize=9)
for ax in axes:
ax.grid(axis="x", alpha=0.2)
ax.spines[["top", "right"]].set_visible(False)
fig.suptitle("Distillation made the deployment constraint achievable", x=0.06, ha="left", fontweight="bold", color=NAVY, fontsize=14)
fig.subplots_adjust(left=0.20, right=0.97, bottom=0.16, top=0.78, wspace=0.38)
fig.savefig(ASSETS / "heavy_vs_student.png", dpi=180, bbox_inches="tight")
plt.close(fig)
def make_final_student_architecture() -> None:
"""Draw the exact deployed tensor path, including recurrent state and inactive heads."""
fig, ax = plt.subplots(figsize=(15.5, 8.6))
fig.patch.set_facecolor("white")
ax.set_xlim(0, 15.5)
ax.set_ylim(0, 8.6)
ax.axis("off")
def box(x, y, w, h, title, body, color=BLUE, dashed=False):
patch = plt.Rectangle(
(x, y), w, h, facecolor="white", edgecolor=color, linewidth=1.8,
linestyle="--" if dashed else "-", joinstyle="round"
)
ax.add_patch(patch)
ax.text(x + 0.12, y + h - 0.18, title, va="top", fontsize=10,
fontweight="bold", color=color)
ax.text(x + 0.12, y + h - 0.55, body, va="top", fontsize=8.1,
color=NAVY, linespacing=1.28)
def arrow(x1, y1, x2, y2, color=NAVY, style="-"):
ax.annotate("", xy=(x2, y2), xytext=(x1, y1),
arrowprops=dict(arrowstyle="->", color=color, lw=1.4,
linestyle=style, shrinkA=2, shrinkB=2))
ax.text(0.35, 8.25, "Final OrbitSight CPU student — exact deployed architecture",
fontsize=17, fontweight="bold", color=NAVY)
ax.text(0.35, 7.88, "Solid boxes execute at inference; dashed boxes are stored/training-only.",
fontsize=9, color=GREY)
box(0.35, 5.25, 1.65, 1.35, "40 ms input", "3×640×640\npositive count\nnegative count\nrecency", CYAN)
box(2.35, 5.25, 1.65, 1.35, "Stem · 120 p", "3×3 Conv 3→4\nBatchNorm + SiLU\n4×640×640")
arrow(2.0, 5.93, 2.35, 5.93)
stages = [
(4.35, "Stage 1", "down 4→4 · s2\nConvLSTM d1\n4×320×320\n1,324 p"),
(6.35, "Stage 2", "down 4→8 · s2\nConvLSTM d2\n8×160×160\n4,952 p"),
(8.35, "Stage 3", "down 8→16 · s2\nConvLSTM d4\n16×80×80\n19,696 p"),
(10.35, "Stage 4", "down 16→32 · s2\nConvLSTM d8\n32×40×40\n78,560 p"),
]
for x, title, body in stages:
box(x, 5.05, 1.65, 1.75, title, body)
for start in [4.0, 6.0, 8.0, 10.0]:
arrow(start, 5.93, start + 0.35, 5.93)
for x, label in [(5.0, "H,C\nstate"), (7.0, "H,C\nstate"),
(9.0, "H,C\nstate"), (11.0, "H,C\nstate")]:
ax.annotate(label, xy=(x + 0.17, 6.75), xytext=(x + 0.17, 7.52),
ha="center", va="center", fontsize=7.5, color=RED,
arrowprops=dict(arrowstyle="<->", color=RED, lw=1.1))
heads = [
(6.25, 2.55, "Stride-4 head", "8→16→16\nreg 4×160²\nobj 1×160²\n3,573 active p"),
(8.25, 2.55, "Stride-8 head", "16→16→16\nreg 4×80²\nobj 1×80²\n4,725 active p"),
(10.25, 2.55, "Stride-16 head", "32→16→16\nreg 4×40²\nobj 1×40²\n7,029 active p"),
]
for x, y, title, body in heads:
box(x, y, 1.75, 1.65, title, body, CYAN)
arrow(7.15, 5.05, 7.15, 4.2)
arrow(9.15, 5.05, 9.15, 4.2)
arrow(11.15, 5.05, 11.15, 4.2)
box(12.45, 2.55, 2.45, 1.65, "Exact top-one decoder",
"33,600 scores → stable argmax\nthreshold 0.10\ndecode only winning cell\nno production NMS", RED)
for x in [8.0, 10.0, 12.0]:
arrow(x, 3.37, 12.45, 3.37)
box(12.45, 5.05, 2.45, 1.75, "Native output path",
"inverse area mapping\nDVX size ×0.98\nKalman/coast tracker\nsensor gate → integer row", BLUE)
arrow(13.68, 4.2, 13.68, 5.05)
box(0.35, 0.55, 3.45, 1.25, "Selective training objective",
"human focal + pixel-inclusive CIoU + aux BCE\n+ matched-teacher confidence/box + empty-window negatives", GREY, dashed=True)
box(4.15, 0.55, 3.45, 1.25, "Auxiliary segmentation · 9 p",
"1×1 Conv on stride-4 feature → 1×160×160\nexecuted only while model.training", GREY, dashed=True)
box(7.95, 0.55, 3.45, 1.25, "Compatibility classification · 15,123 p",
"three stored cls towers/predictors\ncompute_cls=False; never scored", GREY, dashed=True)
box(11.75, 0.55, 3.15, 1.25, "Checkpoint contract",
"135,111 stored parameters\nquality head: off · sensor FiLM: off", GREY, dashed=True)
fig.subplots_adjust(left=0.015, right=0.985, top=0.98, bottom=0.03)
fig.savefig(ASSETS / "final_student_architecture.png", dpi=180, bbox_inches="tight")
plt.close(fig)
def clean_inline(value: str) -> str:
value = re.sub(r"!\[[^]]*]\([^)]+\)", "", value)
value = re.sub(r"\[([^]]+)]\([^)]+\)", r"\1", value)
return value.replace("**", "").replace("__", "").replace("`", "")
class Renderer:
width = 8.27
height = 11.69
left = 0.085
right = 0.925
top = 0.925
bottom = 0.075
def __init__(self, pdf: PdfPages) -> None:
self.pdf = pdf
self.fig = None
self.ax = None
self.y = self.top
self.page = 0
self.new_page()
def new_page(self) -> None:
if self.fig is not None:
self.finish_page()
self.page += 1
self.fig = plt.figure(figsize=(self.width, self.height), facecolor="white")
self.ax = self.fig.add_axes([0, 0, 1, 1])
self.ax.axis("off")
self.y = self.top
def finish_page(self) -> None:
self.fig.text(self.left, 0.035, "OrbitSight — Full Technical Proposal Review", fontsize=7, color=GREY)
self.fig.text(self.right, 0.035, str(self.page), fontsize=7, color=GREY, ha="right")
self.pdf.savefig(self.fig, bbox_inches=None)
plt.close(self.fig)
def ensure(self, needed: float) -> None:
if self.y - needed < self.bottom:
self.new_page()
def rule(self, color: str = CYAN) -> None:
self.ensure(0.025)
self.ax.plot([self.left, self.right], [self.y, self.y], transform=self.fig.transFigure, color=color, linewidth=1.2)
self.y -= 0.025
def text(self, value: str, *, size: float = 9.2, color: str = NAVY, bold: bool = False,
indent: float = 0.0, before: float = 0.006, after: float = 0.008,
mono: bool = False, prefix: str = "") -> None:
value = clean_inline(value).strip()
if not value:
self.y -= after
return
chars = max(28, int((104 - indent * 95) * 9.2 / size))
subsequent = " " * len(prefix)
lines = textwrap.wrap(prefix + value, width=chars, subsequent_indent=subsequent,
break_long_words=False, break_on_hyphens=False) or [value]
line_h = size / 850
needed = before + len(lines) * line_h + after
self.ensure(needed)
self.y -= before
for line in lines:
self.fig.text(self.left + indent, self.y, line, fontsize=size, color=color,
fontweight="bold" if bold else "normal",
family="DejaVu Sans Mono" if mono else "DejaVu Sans",
va="top")
self.y -= line_h
self.y -= after
def heading(self, value: str, level: int) -> None:
if level == 1:
self.ensure(0.14)
self.text(value, size=21, bold=True, before=0.015, after=0.012)
self.rule()
elif level == 2:
self.ensure(0.085)
self.text(value, size=14.2, color=BLUE, bold=True, before=0.025, after=0.008)
else:
self.ensure(0.06)
self.text(value, size=11.2, bold=True, before=0.018, after=0.006)
def code(self, lines: list[str]) -> None:
rendered: list[str] = []
for line in lines:
rendered.extend(textwrap.wrap(line, width=96, subsequent_indent=" ", replace_whitespace=False) or [""])
line_h = 8.0 / 850
needed = len(rendered) * line_h + 0.028
self.ensure(needed)
y_top = self.y - 0.006
y_bottom = y_top - len(rendered) * line_h - 0.012
self.ax.add_patch(plt.Rectangle((self.left - 0.008, y_bottom), self.right - self.left + 0.016,
y_top - y_bottom, transform=self.fig.transFigure,
facecolor=LIGHT, edgecolor="#d8e1e7", linewidth=0.6))
self.y = y_top - 0.008
for line in rendered:
self.fig.text(self.left, self.y, line, fontsize=8, color=NAVY, family="DejaVu Sans Mono", va="top")
self.y -= line_h
self.y = y_bottom - 0.012
def table(self, lines: list[str]) -> None:
rows = []
for line in lines:
cells = [clean_inline(cell.strip()) for cell in line.strip().strip("|").split("|")]
if all(re.fullmatch(r":?-{3,}:?", cell) for cell in cells):
continue
rows.append(cells)
if not rows:
return
cols = max(len(row) for row in rows)
normalized = [row + [""] * (cols - len(row)) for row in rows]
max_width = 98
cell_width = max(10, max_width // cols - 2)
formatted = []
for row_index, row in enumerate(normalized):
wrapped = [textwrap.wrap(cell, width=cell_width, break_long_words=False) or [""] for cell in row]
row_height = max(len(cell) for cell in wrapped)
for line_index in range(row_height):
values = []
for cell in wrapped:
value = cell[line_index] if line_index < len(cell) else ""
values.append(value.ljust(cell_width))
formatted.append(" ".join(values).rstrip())
if row_index == 0:
formatted.append(" ".join("─" * cell_width for _ in range(cols)))
self.code(formatted)
def image(self, relative: str, alt: str) -> None:
path = (SOURCE.parent / relative).resolve()
if not path.exists():
self.text(f"[Image unavailable: {alt}]", color=RED)
return
data = plt.imread(path)
ratio = data.shape[0] / data.shape[1]
box_width = self.right - self.left
box_height = min(0.39, box_width * ratio * self.width / self.height)
self.ensure(box_height + 0.05)
image_ax = self.fig.add_axes([self.left, self.y - box_height, box_width, box_height])
image_ax.imshow(data)
image_ax.axis("off")
self.y -= box_height + 0.006
self.text(alt, size=7.5, color=GREY, before=0.0, after=0.014)
def close(self) -> None:
if self.fig is not None:
self.finish_page()
self.fig = None
def render_markdown() -> None:
lines = SOURCE.read_text(encoding="utf-8").splitlines()
with PdfPages(OUTPUT) as pdf:
metadata = pdf.infodict()
metadata["Title"] = "OrbitSight Full Technical Proposal Review"
metadata["Author"] = "Team Simer"
metadata["Subject"] = "Development history, architecture, evaluation, latency and deployment"
renderer = Renderer(pdf)
index = 0
in_code = False
code_lines: list[str] = []
while index < len(lines):
line = lines[index]
if line.startswith("```"):
if in_code:
renderer.code(code_lines)
code_lines = []
in_code = False
else:
in_code = True
index += 1
continue
if in_code:
code_lines.append(line)
index += 1
continue
image_match = re.fullmatch(r"!\[([^]]*)]\(([^)]+)\)", line.strip())
if image_match:
renderer.image(image_match.group(2), image_match.group(1))
index += 1
continue
if line.startswith("|"):
table_lines = []
while index < len(lines) and lines[index].startswith("|"):
table_lines.append(lines[index])
index += 1
renderer.table(table_lines)
continue
heading_match = re.match(r"^(#{1,3})\s+(.+)$", line)
if heading_match:
renderer.heading(heading_match.group(2), len(heading_match.group(1)))
elif re.match(r"^[-*]\s+", line):
renderer.text(re.sub(r"^[-*]\s+", "", line), indent=0.018, prefix="• ")
elif re.match(r"^\d+\.\s+", line):
match = re.match(r"^(\d+\.)\s+(.+)$", line)
renderer.text(match.group(2), indent=0.018, prefix=f"{match.group(1)} ")
elif line.startswith(">"):
renderer.text(line.lstrip("> "), color=RED, indent=0.018, bold=True)
elif line.strip() in {"---", "***"}:
renderer.rule(color="#c8d2da")
elif line.strip():
paragraph = [line.strip()]
while index + 1 < len(lines):
nxt = lines[index + 1]
if not nxt.strip() or nxt.startswith(("#", "|", "```", ">", "![")) or re.match(r"^[-*]\s+|^\d+\.\s+", nxt):
break
paragraph.append(nxt.strip())
index += 1
renderer.text(" ".join(paragraph))
else:
renderer.y -= 0.006
index += 1
if code_lines:
renderer.code(code_lines)
renderer.close()
def main() -> None:
ASSETS.mkdir(parents=True, exist_ok=True)
make_model_evolution()
make_heavy_vs_student()
make_final_student_architecture()
render_markdown()
print(f"Rendered {OUTPUT}")
if __name__ == "__main__":
main()
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