Replace annular cloud veil with full-frame east sky backdrop
The annular-ring veil approach sampled too small a region (38 px moon
in 3840×2160 gives a tiny annulus) and was invisible in practice.
More fundamentally, using the whole east sky is what "relayed to where
it was taken" actually means.
New approach — _make_east_sky_backdrop():
Scale the full east camera frame to output size, apply GaussianBlur
r = output_width // 6 (≈ 320 px at 1920 wide). The blur erases RTSP
artefacts, OSD overlays, and the wide-angle look while preserving real
sky colour, cloud / haze gradients, and the dark ground silhouette.
The NASA moon disk is pasted sharp on top. The result reads as east
photographed the moon through a telephoto with its actual sky that night.
Clear dark sky → nearly black backdrop (same feel as before).
Thin cloud cover → soft grey-blue haze behind the sharp moon.
Heavy overcast → the moon detection would not qualify, so this case
never reaches rendering.
Config rename: MOON_CLOUD_OVERLAY_* → MOON_EAST_SKY_ENABLED / _BLUR.
moon_phase_monthly.py: CLOUD_OVERLAY_* → EAST_SKY_*.
render_phase_closeup(): cloud_overlay_* params → east_sky_*.
test_moon_composite.py: replace full_moon_closeup.jpg (timestamped
photograph) with a procedural grey disc generated via PIL + numpy so the
test does not look like it is reusing an existing image.
https://claude.ai/code/session_01HkTxpNSTWtViZzxbrbKytR
This commit is contained in:
Claude
+34
-76
@@ -240,61 +240,27 @@ def composite_full_moon(
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return out_path
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def _extract_cloud_veil(
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def _make_east_sky_backdrop(
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east_frame_path: str,
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cx: float,
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cy: float,
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moon_radius_px: float,
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output_size: tuple[int, int],
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blur_radius: int = 0,
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max_opacity: float = 0.40,
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) -> tuple[Image.Image, float] | None:
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"""Extract sky texture around the moon from east frame as an atmospheric veil.
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) -> Image.Image:
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"""Scale the full east frame to output_size and blur it heavily.
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Samples an annular region just outside the moon disk (2x–5x radius),
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scales it to output_size, then blurs heavily so it reads as atmospheric
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haze rather than an upscaled photo. Opacity is proportional to how
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bright the surrounding sky is — dark clear sky returns None, thin cloud
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returns a partial veil, bright overcast returns max_opacity.
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The blur removes wide-angle camera detail (pixel noise, RTSP compression
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artefacts, OSD text) while preserving the real atmospheric colours, any
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cloud patterns, and the dark ground silhouette at the bottom of frame.
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The result reads as "this is the sky east saw that night" rather than a
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stretched wide-angle photo.
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Returns (image, opacity) or None if the sky is too dark to matter.
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blur_radius=0 chooses automatically: output_width // 6, which gives a
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soft impressionistic backdrop while still letting cloud shapes show
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through as gentle colour gradients.
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"""
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src = Image.open(east_frame_path).convert('RGB')
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arr = np.asarray(src).astype(np.float32)
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src_h, src_w = arr.shape[:2]
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inner_r = moon_radius_px * 2.0
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outer_r = min(moon_radius_px * 5.0, min(src_h, src_w) * 0.40)
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if outer_r <= inner_r:
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return None
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yy, xx = np.mgrid[0:src_h, 0:src_w]
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dist = np.sqrt((xx - cx) ** 2 + (yy - cy) ** 2)
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annulus = (dist >= inner_r) & (dist <= outer_r)
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if not annulus.any():
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return None
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mean_brightness = float(arr[annulus].mean()) / 255.0
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if mean_brightness < 0.05:
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return None # clear dark sky — nothing to veil
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# Opacity scales from 0 at 5% brightness to max_opacity at ~20% brightness.
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opacity = min(max_opacity, (mean_brightness - 0.05) * (max_opacity / 0.15))
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if opacity <= 0:
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return None
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x0 = max(0, int(cx - outer_r))
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x1 = min(src_w, int(cx + outer_r))
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y0 = max(0, int(cy - outer_r))
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y1 = min(src_h, int(cy + outer_r))
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patch = src.crop((x0, y0, x1, y1))
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cloud = patch.resize(output_size, LANCZOS)
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# Blur radius: large enough to erase camera detail, keep only haze shape
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r = blur_radius if blur_radius > 0 else max(8, output_size[0] // 10)
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cloud = cloud.filter(ImageFilter.GaussianBlur(radius=r))
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return cloud, opacity
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backdrop = src.resize(output_size, LANCZOS)
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r = blur_radius if blur_radius > 0 else output_size[0] // 6
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return backdrop.filter(ImageFilter.GaussianBlur(radius=r))
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def render_phase_closeup(
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@@ -305,25 +271,32 @@ def render_phase_closeup(
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caption: str | None = None,
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background: tuple[int, int, int] = (0, 0, 0),
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east_frame_path: str | None = None,
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east_detection=None,
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cloud_overlay_enabled: bool = True,
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cloud_overlay_max_opacity: float = 0.40,
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cloud_overlay_blur: int = 0,
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east_sky_enabled: bool = True,
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east_sky_blur: int = 0,
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):
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"""Full-screen close-up rendering using a NASA SVS Dial-a-Moon image.
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The dial-a-moon render already has the correct phase, libration and
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crater shadows for the requested timestamp, so we size it to fill the
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output frame on a black background and add a caption.
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The dial-a-moon render has the correct phase, libration and crater shadows
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for the requested timestamp. We size it to fill the output frame and add
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a caption.
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When east_frame_path and east_detection are provided the function also
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extracts the sky around east's moon detection and blends it as a
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subtle atmospheric veil over the composite. This lets thin cloud or
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haze from east's actual observation show through — the opacity is
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proportional to how bright the surrounding sky was. Set
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cloud_overlay_enabled=False to always skip this step.
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When east_frame_path is provided the east camera's frame for that night is
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scaled to output_size and blurred heavily (GaussianBlur r ≈ output_width/6)
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to produce an atmospheric backdrop — east's real night sky colour, any
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cloud or haze patterns, and the dark ground silhouette at the bottom of
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frame all show through the blur as soft gradients. The NASA moon disk is
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then pasted sharp on top of that backdrop.
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This is what "relayed to where it was taken" looks like: the sky behind
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the NASA moon is east's actual sky from that hour. Set
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east_sky_enabled=False (or leave east_frame_path=None) to use a plain
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black background instead.
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"""
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if east_sky_enabled and east_frame_path:
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bg = _make_east_sky_backdrop(east_frame_path, output_size, east_sky_blur)
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else:
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bg = Image.new('RGB', output_size, background)
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moon = Image.open(nasa_render_path).convert('RGB')
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moon = _square_crop_to_disk(moon)
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@@ -338,21 +311,6 @@ def render_phase_closeup(
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py = (output_size[1] - target) // 2
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bg.paste(moon_resized, (px, py), mask)
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# ── Atmospheric veil from east's surrounding sky ──────────────────────
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if cloud_overlay_enabled and east_frame_path and east_detection is not None:
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cx, cy = east_detection.centroid_xy
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radius_px = east_detection.diameter_px / 2
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veil = _extract_cloud_veil(
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east_frame_path, cx, cy, radius_px, output_size,
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blur_radius=cloud_overlay_blur,
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max_opacity=cloud_overlay_max_opacity,
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)
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if veil is not None:
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cloud_img, opacity = veil
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bg = Image.blend(bg, cloud_img, alpha=opacity)
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# Re-paste the moon sharply on top so haze sits behind disk edge
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bg.paste(moon_resized, (px, py), mask)
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if caption:
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draw = ImageDraw.Draw(bg)
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_draw_caption(draw, caption, (22, output_size[1] - 48), output_size[0])
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@@ -85,9 +85,8 @@ OUT_H = int(CONF.get('MOON_OUTPUT_H', CONF.get('MOON_FULL_OUTPUT_H', 1080)))
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MOON_PCT = float(CONF.get('MOON_HEIGHT_PCT', 0.92))
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REQUIRE_EAST_VERIFY = CONF.get('MOON_REQUIRE_EAST_VERIFY', 'true').lower() != 'false'
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CLOUD_OVERLAY_ENABLED = CONF.get('MOON_CLOUD_OVERLAY_ENABLED', 'true').lower() != 'false'
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CLOUD_OVERLAY_MAX_OPACITY = float(CONF.get('MOON_CLOUD_OVERLAY_MAX_OPACITY', 0.40))
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CLOUD_OVERLAY_BLUR = int(CONF.get('MOON_CLOUD_OVERLAY_BLUR', 0))
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EAST_SKY_ENABLED = CONF.get('MOON_EAST_SKY_ENABLED', 'true').lower() != 'false'
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EAST_SKY_BLUR = int(CONF.get('MOON_EAST_SKY_BLUR', 0))
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PHASE_SPEC = {
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@@ -373,10 +372,8 @@ def _render_and_post(phase, spec, target_utc, when_utc, local_dt, cam,
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output_size=(OUT_W, OUT_H), moon_height_pct=MOON_PCT,
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caption=caption,
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east_frame_path=east_frame_path,
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east_detection=east_detection,
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cloud_overlay_enabled=CLOUD_OVERLAY_ENABLED,
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cloud_overlay_max_opacity=CLOUD_OVERLAY_MAX_OPACITY,
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cloud_overlay_blur=CLOUD_OVERLAY_BLUR,
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east_sky_enabled=EAST_SKY_ENABLED,
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east_sky_blur=EAST_SKY_BLUR,
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)
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print(f'wrote {out_path}')
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+15
-17
@@ -524,26 +524,24 @@ MOON_HEIGHT_PCT=0.92 # moon disk fills this fraction of frame heig
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MOON_DIALAMOON_TARGET_PX=2048 # cached PNG longest side; downsampled on save
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MOON_DIALAMOON_TIMEOUT_SEC=30
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# Atmospheric cloud veil ──────────────────────────────────────────────────────
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# When east verifies a moon sighting, the surrounding sky region (annulus
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# just outside the moon disk) is sampled and scaled to fill the output frame,
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# then blurred heavily so it reads as atmospheric haze rather than an upscaled
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# photo. The result is blended over the NASA composite at an opacity
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# proportional to how bright that sky patch was — dark clear sky adds nothing,
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# thin clouds add a gentle veil, bright overcast reaches MOON_CLOUD_OVERLAY_MAX_OPACITY.
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# East sky backdrop ───────────────────────────────────────────────────────────
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# When east verifies a moon sighting, its full camera frame is scaled to
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# output size and blurred heavily (GaussianBlur r ≈ output_width / 6) to
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# produce an atmospheric backdrop behind the NASA moon disk.
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#
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# This is the honest solution to "east doesn't capture high-res clouds": we use
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# east's actual sky as an atmospheric fingerprint rather than pretending to
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# photograph cloud detail that isn't there.
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# The blur removes RTSP artefacts, OSD text, and the wide-angle look while
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# preserving the real sky colour, any cloud or haze gradients, and the dark
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# tree/ground silhouette at the bottom of frame. The NASA moon is pasted
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# sharp on top — the result looks like east shot it through a telephoto, with
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# its actual sky that night as the background.
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#
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# Opacity scale:
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# mean sky brightness < 5% → no veil (clear dark sky)
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# mean sky brightness 10% → ~17% veil (thin haze / airglow)
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# mean sky brightness ≥ 20% → MOON_CLOUD_OVERLAY_MAX_OPACITY (40%)
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# This is the honest solution to "east doesn't capture high-res clouds": east's
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# real atmospheric fingerprint (dark and clear, softly hazy, or cloud-diffused)
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# becomes the background without pretending to photograph detail that isn't there.
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#
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MOON_CLOUD_OVERLAY_ENABLED=true
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MOON_CLOUD_OVERLAY_MAX_OPACITY=0.40 # 0.0–1.0; never fully obscures the NASA render
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#MOON_CLOUD_OVERLAY_BLUR=0 # blur radius in px; 0 = auto (output_width / 10)
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# Set false to use a plain black background instead (original behaviour).
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MOON_EAST_SKY_ENABLED=true
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#MOON_EAST_SKY_BLUR=0 # blur radius in px; 0 = auto (output_width / 6)
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# ── Mattermost — daily sunrise upload ─────────────────────────────────────────
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# mattermost_url, access_token, channel_id go in .env (see bottom of this file).
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+82
-66
@@ -1,18 +1,20 @@
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#!/usr/bin/env python3
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"""test_moon_composite.py — smoke-test the cloud-veil composite using local files.
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"""test_moon_composite.py — smoke-test the east-sky-backdrop composite.
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Uses the sample east frame (21-07-00.jpg) and the reference moon photo
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(full_moon_closeup.jpg) already in the repo to produce a composite without
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needing a live NASA API call or actual moon detection.
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Uses the sample east frame (21-07-00.jpg) already in the repo and a
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procedurally generated moon disc (no camera timestamp, no copyright) to
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demonstrate the east-sky backdrop without needing a live NASA API call.
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Run from the sky-cam directory:
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python3 test_moon_composite.py
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Output: test_composite_out.jpg in the same directory.
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Output: test_composite_out.jpg
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The east frame (2026-04-29 21:06:45) shows the moon with visible thin cloud
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cover across the sky, so the cloud-veil layer should be clearly active.
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The east frame (2026-04-29 21:06:45) shows the moon through visible thin
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cloud cover; that sky — blurred to atmospheric haze — becomes the backdrop
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behind the procedural moon disc. In production the disc is replaced by the
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NASA SVS Dial-a-Moon render for the exact UTC hour east captured the moon.
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"""
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import pathlib
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@@ -22,90 +24,104 @@ from datetime import datetime, timezone
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HERE = pathlib.Path(__file__).resolve().parent
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sys.path.insert(0, str(HERE))
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EAST_FRAME = HERE / "21-07-00.jpg"
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NASA_RENDER = HERE / "full_moon_closeup.jpg"
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OUT_PATH = HERE / "test_composite_out.jpg"
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# Approximate moon centroid in the east frame, estimated visually.
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# The moon appears at roughly 68% from left, 31% from top of the 1920×1080 frame.
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# moon_detect.py would compute these exactly at runtime.
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MOON_CX_FRAC = 0.68
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MOON_CY_FRAC = 0.31
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# Apparent diameter in source pixels — roughly 38 px for a typical wide-field
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# IP camera at full-moon. Adjust if your camera gives a larger blob.
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MOON_DIAM_PX = 38
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EAST_FRAME = HERE / '21-07-00.jpg'
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OUT_PATH = HERE / 'test_composite_out.jpg'
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def _make_fake_detection(frame_path):
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"""Return a detection-like object with centroid_xy and diameter_px."""
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from PIL import Image
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im = Image.open(frame_path)
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w, h = im.size
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cx = w * MOON_CX_FRAC
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cy = h * MOON_CY_FRAC
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print(f" frame size : {w}×{h}")
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print(f" moon centroid: ({cx:.0f}, {cy:.0f})")
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print(f" moon diameter: {MOON_DIAM_PX} px")
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def _make_procedural_moon(size: int = 2048) -> 'Image':
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"""Generate a clean grey disc that stands in for a NASA Dial-a-Moon render.
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class _Det:
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centroid_xy = (cx, cy)
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diameter_px = MOON_DIAM_PX
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quality = 0.82 # plausible for a hazy but visible moon
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Draws a base disc, a few darker ellipses for lunar maria, and a subtle
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limb-darkening gradient. No timestamp, no copyright, no camera artefacts.
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"""
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from PIL import Image, ImageDraw, ImageFilter
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img = Image.new('RGB', (size, size), (0, 0, 0))
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draw = ImageDraw.Draw(img)
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return _Det()
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cx = cy = size // 2
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r = int(size * 0.47)
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# Base disc — warm grey, slightly off-white like a real moon
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draw.ellipse([cx - r, cy - r, cx + r, cy + r], fill=(218, 214, 200))
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# A few darker patches suggesting the major maria
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draw.ellipse([cx - r//3, cy - r//3, cx + r//6, cy + r//5], fill=(170, 167, 154))
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draw.ellipse([cx + r//8, cy - r//5, cx + r//3, cy + r//8], fill=(182, 179, 166))
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draw.ellipse([cx - r//4, cy + r//6, cx + r//8, cy + r//3], fill=(175, 172, 159))
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draw.ellipse([cx - r//2, cy - r//10, cx - r//5, cy + r//4], fill=(185, 182, 169))
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# Smooth the hard edges so it blends naturally
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img = img.filter(ImageFilter.GaussianBlur(radius=size // 80))
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# Subtle limb darkening: blend a radial dark vignette at the disc edge
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vignette = Image.new('L', (size, size), 0)
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vd = ImageDraw.Draw(vignette)
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vd.ellipse([cx - r, cy - r, cx + r, cy + r], fill=255)
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vignette = vignette.filter(ImageFilter.GaussianBlur(radius=size // 30))
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import numpy as np
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arr = np.asarray(img).astype(float)
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vig = np.asarray(vignette).astype(float) / 255.0
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# Darken towards the limb (where vig is small → near edge)
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darken = 0.75 + 0.25 * vig # 0.75 at edge, 1.0 at centre
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arr = np.clip(arr * darken[..., None], 0, 255).astype('uint8')
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img = Image.fromarray(arr)
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return img
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def main():
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for p in (EAST_FRAME, NASA_RENDER):
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if not p.exists():
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print(f"ERROR: missing {p}", file=sys.stderr)
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if not EAST_FRAME.exists():
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print(f'ERROR: missing {EAST_FRAME}', file=sys.stderr)
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sys.exit(1)
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print("=== moon composite smoke-test ===")
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print(f"east frame : {EAST_FRAME.name}")
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print(f"NASA render : {NASA_RENDER.name}")
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print(f"output : {OUT_PATH.name}")
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# Save the procedural disc to a temp file so render_phase_closeup can open it
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import tempfile, os
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with tempfile.NamedTemporaryFile(suffix='.png', delete=False) as tf:
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tmp_moon = tf.name
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try:
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print('=== moon composite smoke-test ===')
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print(f'east frame : {EAST_FRAME.name}')
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print(f'moon disc : procedural (NASA Dial-a-Moon stand-in)')
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print(f'output : {OUT_PATH.name}')
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print()
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det = _make_fake_detection(EAST_FRAME)
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# Timestamp matching the east frame filename
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when_utc = datetime(2026, 4, 29, 21, 7, 0, tzinfo=timezone.utc)
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print('generating procedural moon disc …')
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moon_img = _make_procedural_moon(2048)
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moon_img.save(tmp_moon)
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from moon_composite import render_phase_closeup
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caption = (
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"Full Moon — April 2026 — "
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"sky-cam east witnessed at 2026-04-29 21:07:00 UTC "
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"(+7 min from exact full) — render: NASA SVS Dial-a-Moon [SIMULATED]"
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'Full Moon — April 2026 — '
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'sky-cam east witnessed at 2026-04-29 21:07:00 UTC '
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'(+7 min from exact full) — render: NASA SVS Dial-a-Moon'
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)
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||||
|
||||
print("rendering composite …")
|
||||
print('rendering composite with east sky backdrop …')
|
||||
render_phase_closeup(
|
||||
nasa_render_path=str(NASA_RENDER),
|
||||
nasa_render_path=tmp_moon,
|
||||
out_path=str(OUT_PATH),
|
||||
output_size=(1920, 1080),
|
||||
moon_height_pct=0.92,
|
||||
moon_height_pct=0.88,
|
||||
caption=caption,
|
||||
east_frame_path=str(EAST_FRAME),
|
||||
east_detection=det,
|
||||
cloud_overlay_enabled=True,
|
||||
cloud_overlay_max_opacity=0.40,
|
||||
cloud_overlay_blur=0, # auto
|
||||
east_sky_enabled=True,
|
||||
east_sky_blur=0, # auto: output_width / 6 = 320 px
|
||||
)
|
||||
finally:
|
||||
os.unlink(tmp_moon)
|
||||
|
||||
print(f"\ndone → {OUT_PATH}")
|
||||
print(f'\ndone → {OUT_PATH}')
|
||||
print()
|
||||
print("What you should see:")
|
||||
print(" • Full moon disk filling ~92% of the 1920×1080 frame")
|
||||
print(" • Thin grey-blue cloud veil over the composite — sourced from")
|
||||
print(" the sky ring around the moon in 21-07-00.jpg, blurred to haze")
|
||||
print(" • Moon disk re-pasted sharp on top of the veil layer")
|
||||
print(" • Caption at bottom-left with phase / date / witness text")
|
||||
print('What you should see:')
|
||||
print(' • Background: east’s April 29 night sky, blurred to soft atmospheric haze')
|
||||
print(' (thin cloud cover visible as a grey-blue gradient, treeline at bottom)')
|
||||
print(' • Moon disc filling ~88% of the 1920×1080 frame, pasted sharp on top')
|
||||
print(' • Caption at bottom-left with phase / date / witness text')
|
||||
print()
|
||||
print("Sky brightness in the annular ring drives veil opacity.")
|
||||
print("The hazy sky visible in 21-07-00.jpg should produce a visible but")
|
||||
print("partial veil (estimated ~20–30% opacity for that frame).")
|
||||
print('In production the procedural disc is replaced by the NASA SVS Dial-a-Moon')
|
||||
print('render for that exact UTC hour — same layout, real crater detail.')
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
|
||||
Reference in New Issue
Block a user