Rename to OneVision Patch Inspector + presets, charts, UI polish
Browse files- Rename title in README and Hero block to "OneVision Patch Inspector".
- Run info JSON moved into a default-collapsed Accordion to keep the
output area tidy; a small summary blurb sits above it.
- Visualization mode and saliency signal Radios now use (label, value)
pairs so the meaning of "sbs" / "frame_diff" / etc. is visible.
- Quick presets: three buttons (Detail / Motion / Balanced) wire through
to atomically set saliency_signal + log + percentile + viz_mode.
- Charts panel: matplotlib gr.Plot with a log-y patch-score histogram
and a per-frame selected-count line, refreshed each run.
- CSS pass: bigger hero with subtle radial glow, accent-bullet card
headers, larger gradient Run button with hover lift, soft-gradient
preset chips, footer divider. Container widened to 1320px.
- requirements: matplotlib added (used for the charts panel).
- README.md +2 -2
- app.py +219 -54
- requirements.txt +1 -0
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@@ -1,5 +1,5 @@
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---
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-
title: OneVision
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emoji: 🏆
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colorFrom: blue
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colorTo: indigo
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@@ -9,7 +9,7 @@ python_version: '3.13'
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app_file: app.py
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pinned: false
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license: apache-2.0
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-
short_description:
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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+
title: OneVision Patch Inspector
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emoji: 🏆
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colorFrom: blue
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colorTo: indigo
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app_file: app.py
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pinned: false
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license: apache-2.0
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+
short_description: Inspect which video patches a codec-style saliency picks
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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@@ -32,6 +32,9 @@ from typing import List, Tuple
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import cv2
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import gradio as gr
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import imageio_ffmpeg
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import numpy as np
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@@ -315,6 +318,42 @@ def pack_canvas(
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return canvas, n
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def process(
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video_path,
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sample_frames: int,
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progress=gr.Progress(track_tqdm=False),
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):
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if not video_path:
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return None, None, "Please upload a video."
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t0 = time.time()
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progress(0.05, desc="Reading metadata")
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return None, None, json.dumps(
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{"error": "Could not read frame count.", "metadata": meta},
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indent=2, ensure_ascii=False,
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-
)
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progress(0.10, desc="Sampling frames")
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fps = float(meta.get("fps") or 0.0)
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return None, None, json.dumps(
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{"error": "Failed to decode frames.", "metadata": meta},
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indent=2, ensure_ascii=False,
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)
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progress(0.25, desc="smart_resize")
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resized = [smart_resize(f, int(max_pixels), int(patch_size)) for f in raw]
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+ (" (log1p applied)" if score_log_scale else ""),
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"elapsed_sec": round(time.time() - t0, 2),
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}
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progress(1.0, desc="Done")
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-
return
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CUSTOM_CSS = """
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:root, .gradio-container, .gradio-container.dark {
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--ovc-grad: linear-gradient(135deg, #4f46e5 0%, #2563eb 50%, #06b6d4 100%);
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}
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.gradio-container { max-width:
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#ovc-hero {
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text-align: center;
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padding:
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border-radius:
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background:
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-
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}
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#ovc-hero h1 {
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font-size: 2.
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font-weight:
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background: var(--ovc-grad);
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-webkit-background-clip: text;
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background-clip: text;
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color: transparent;
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margin: 0 0
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letter-spacing: -0.
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}
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#ovc-hero p.tagline {
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font-size: 1.
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color: var(--body-text-color-subdued);
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margin: 0 auto
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max-width:
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line-height: 1.
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}
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#ovc-hero .pills { display:flex; flex-wrap:wrap; gap:
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#ovc-hero .pill {
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font-size: 0.78rem;
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font-weight: 600;
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padding:
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border-radius: 999px;
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color: #fff;
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background: var(--ovc-grad);
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opacity: 0.
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}
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.ovc-card {
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border-radius:
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padding: 14px 16px !important;
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border: 1px solid
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background: var(--background-fill-primary) !important;
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box-shadow: 0 1px
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}
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.ovc-card h3 {
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font-size: 0.
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font-weight: 700 !important;
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text-transform: uppercase;
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letter-spacing: 0.
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color:
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margin: 0 0
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}
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#ovc-run button {
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width: 100%;
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height:
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font-size: 1.
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font-weight:
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background: var(--ovc-grad) !important;
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border: none !important;
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color: #fff !important;
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border-radius:
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box-shadow: 0
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transition: transform 0.
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}
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#ovc-run button:hover { transform: translateY(-1px); }
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#ovc-run button:active { transform: translateY(0); }
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#ovc-footer {
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text-align: center;
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color: var(--body-text-color-subdued);
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font-size: 0.
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padding:
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margin-top:
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}
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"""
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THEME = gr.themes.Soft(
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HERO_HTML = """
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<div id="ovc-hero">
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<h1>OneVision
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<p class="tagline">
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-
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then pack them into the canvas LLaVA-OneVision2 consumes.
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-
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</p>
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<div class="pills">
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-
<span class="pill">selection · heatmap ·
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<span class="pill">gradient + motion
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<span class="pill">canvas export</span>
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</div>
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</div>
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"""
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_GR_MAJOR = int(gr.__version__.split(".")[0])
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except Exception:
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_GR_MAJOR = 4
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-
_BLOCK_KW: dict = {"title": "OneVision
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_LAUNCH_KW: dict = {}
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if _GR_MAJOR >= 6:
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# In Gradio 6.0 these moved off Blocks(...) onto launch(...).
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_BLOCK_KW["theme"] = THEME
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_BLOCK_KW["css"] = CUSTOM_CSS
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with gr.Blocks(**_BLOCK_KW) as demo:
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gr.HTML(HERO_HTML)
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with gr.Group(elem_classes="ovc-card"):
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gr.Markdown("### Pipeline")
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viz_mode = gr.Radio(
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-
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label="Visualization mode",
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)
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sample_frames = gr.Slider(
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PATCH_CHOICES, value=14, label="Patch size (px)",
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)
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with gr.Accordion("Time window", open=False):
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with gr.Row():
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start_sec = gr.Number(value=0.0, precision=2, label="Start (s)")
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with gr.Accordion("Saliency", open=False):
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saliency_signal = gr.Radio(
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-
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label="Scoring signal",
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info="gradient = intra-frame Sobel · "
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-
"frame_diff = inter-frame motion · "
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-
"combined = 0.5 each.",
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)
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score_log_scale = gr.Checkbox(
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value=False,
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)
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bitcost_pct = gr.Slider(
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80.0, 99.9, value=99.0, step=0.1,
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label="Heatmap normalization percentile",
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)
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with gr.Accordion("Visual style", open=False):
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vis_out = gr.Video(
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label="", show_label=False, autoplay=True, height=420,
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)
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with gr.Row():
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with gr.Column(scale=1):
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with gr.Group(elem_classes="ovc-card"):
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)
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with gr.Column(scale=1):
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with gr.Group(elem_classes="ovc-card"):
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-
gr.Markdown("### Run
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-
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-
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)
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gr.HTML(
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'<div id="ovc-footer">'
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'</div>'
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)
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run_btn.click(
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process,
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inputs=[
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start_sec, end_sec,
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saliency_signal, score_log_scale, bitcost_pct, fade_strength,
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],
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-
outputs=[vis_out, canvas_out, info_out],
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)
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import cv2
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import gradio as gr
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import imageio_ffmpeg
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+
import matplotlib
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+
matplotlib.use("Agg")
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+
import matplotlib.pyplot as plt
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import numpy as np
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return canvas, n
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+
def make_charts(
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+
grids: List[np.ndarray], masks: List[np.ndarray], saliency_signal: str,
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+
):
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+
"""Two side-by-side panels:
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+
- patch score histogram across all sampled frames (log-y)
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+
- selected patch count per sampled frame index"""
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+
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(8.6, 3.0), constrained_layout=True)
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+
all_scores = np.concatenate([g.flatten().astype(np.float32) for g in grids])
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+
ax1.hist(all_scores, bins=40, color="#4f46e5", alpha=0.85,
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+
edgecolor="#312e81", linewidth=0.4)
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+
ax1.set_yscale("log")
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+
ax1.set_title(f"Patch score distribution · {saliency_signal}",
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+
fontsize=10, color="#1e293b")
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+
ax1.set_xlabel("score", fontsize=9)
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+
ax1.set_ylabel("patches (log)", fontsize=9)
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+
ax1.tick_params(axis="both", which="both", labelsize=8)
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+
ax1.grid(True, alpha=0.25, linestyle="--")
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+
ax1.spines[["top", "right"]].set_visible(False)
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+
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+
counts = [int(m.sum()) for m in masks]
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+
xs = list(range(len(counts)))
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+
ax2.plot(xs, counts, "o-", color="#06b6d4", linewidth=2.0,
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+
markersize=5, markeredgecolor="#0e7490")
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+
ax2.fill_between(xs, counts, alpha=0.15, color="#06b6d4")
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+
ax2.set_title("Selected patches per sampled frame",
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+
fontsize=10, color="#1e293b")
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+
ax2.set_xlabel("sampled frame index", fontsize=9)
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+
ax2.set_ylabel("# selected", fontsize=9)
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+
ax2.tick_params(axis="both", which="both", labelsize=8)
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+
ax2.grid(True, alpha=0.25, linestyle="--")
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+
ax2.spines[["top", "right"]].set_visible(False)
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+
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+
fig.patch.set_facecolor("white")
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+
return fig
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+
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+
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def process(
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video_path,
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sample_frames: int,
|
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|
|
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progress=gr.Progress(track_tqdm=False),
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):
|
| 373 |
if not video_path:
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+
return None, None, "Please upload a video.", None
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| 375 |
|
| 376 |
t0 = time.time()
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progress(0.05, desc="Reading metadata")
|
|
|
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return None, None, json.dumps(
|
| 382 |
{"error": "Could not read frame count.", "metadata": meta},
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indent=2, ensure_ascii=False,
|
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+
), None
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|
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progress(0.10, desc="Sampling frames")
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fps = float(meta.get("fps") or 0.0)
|
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return None, None, json.dumps(
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{"error": "Failed to decode frames.", "metadata": meta},
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indent=2, ensure_ascii=False,
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+
), None
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|
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progress(0.25, desc="smart_resize")
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resized = [smart_resize(f, int(max_pixels), int(patch_size)) for f in raw]
|
|
|
|
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+ (" (log1p applied)" if score_log_scale else ""),
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"elapsed_sec": round(time.time() - t0, 2),
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}
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+
progress(0.95, desc="Building charts")
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+
chart_fig = make_charts(grids, masks, saliency_signal)
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+
|
| 500 |
progress(1.0, desc="Done")
|
| 501 |
+
return (
|
| 502 |
+
vis_path, canvas_path,
|
| 503 |
+
json.dumps(info, indent=2, ensure_ascii=False),
|
| 504 |
+
chart_fig,
|
| 505 |
+
)
|
| 506 |
+
|
| 507 |
+
|
| 508 |
+
PRESETS = {
|
| 509 |
+
# (saliency_signal, score_log_scale, bitcost_pct, viz_mode)
|
| 510 |
+
"detail": ("gradient", False, 99.0, "heatmap"),
|
| 511 |
+
"motion": ("frame_diff", False, 95.0, "heatmap"),
|
| 512 |
+
"balanced": ("combined", True, 96.0, "sbs"),
|
| 513 |
+
}
|
| 514 |
+
|
| 515 |
+
|
| 516 |
+
def apply_preset(name: str):
|
| 517 |
+
sig, log_, pct, mode = PRESETS[name]
|
| 518 |
+
return sig, log_, pct, mode
|
| 519 |
|
| 520 |
|
| 521 |
CUSTOM_CSS = """
|
| 522 |
:root, .gradio-container, .gradio-container.dark {
|
| 523 |
--ovc-grad: linear-gradient(135deg, #4f46e5 0%, #2563eb 50%, #06b6d4 100%);
|
| 524 |
+
--ovc-grad-soft: linear-gradient(135deg, rgba(79,70,229,0.10), rgba(6,182,212,0.10));
|
| 525 |
}
|
| 526 |
+
.gradio-container { max-width: 1320px !important; margin: 0 auto !important; }
|
| 527 |
+
|
| 528 |
+
/* Hero */
|
| 529 |
#ovc-hero {
|
| 530 |
text-align: center;
|
| 531 |
+
padding: 36px 16px 18px;
|
| 532 |
+
border-radius: 18px;
|
| 533 |
+
background:
|
| 534 |
+
radial-gradient(120% 80% at 50% -10%, rgba(79,70,229,0.18), transparent 60%),
|
| 535 |
+
linear-gradient(180deg, rgba(79,70,229,0.06), rgba(6,182,212,0.03));
|
| 536 |
+
border: 1px solid rgba(99,102,241,0.18);
|
| 537 |
+
margin-bottom: 14px;
|
| 538 |
+
position: relative;
|
| 539 |
+
overflow: hidden;
|
| 540 |
+
}
|
| 541 |
+
#ovc-hero::after {
|
| 542 |
+
content: "";
|
| 543 |
+
position: absolute; inset: auto -20% -40% -20%;
|
| 544 |
+
height: 60%;
|
| 545 |
+
background: radial-gradient(60% 80% at 50% 0%, rgba(6,182,212,0.18), transparent 70%);
|
| 546 |
+
pointer-events: none;
|
| 547 |
}
|
| 548 |
#ovc-hero h1 {
|
| 549 |
+
font-size: 2.4rem;
|
| 550 |
+
font-weight: 800;
|
| 551 |
background: var(--ovc-grad);
|
| 552 |
-webkit-background-clip: text;
|
| 553 |
background-clip: text;
|
| 554 |
color: transparent;
|
| 555 |
+
margin: 0 0 8px;
|
| 556 |
+
letter-spacing: -0.025em;
|
| 557 |
+
line-height: 1.05;
|
| 558 |
}
|
| 559 |
#ovc-hero p.tagline {
|
| 560 |
+
font-size: 1.04rem;
|
| 561 |
color: var(--body-text-color-subdued);
|
| 562 |
+
margin: 0 auto 14px;
|
| 563 |
+
max-width: 760px;
|
| 564 |
+
line-height: 1.6;
|
| 565 |
}
|
| 566 |
+
#ovc-hero .pills { display:flex; flex-wrap:wrap; gap:8px; justify-content:center; margin-top:8px; }
|
| 567 |
#ovc-hero .pill {
|
| 568 |
font-size: 0.78rem;
|
| 569 |
font-weight: 600;
|
| 570 |
+
padding: 5px 12px;
|
| 571 |
border-radius: 999px;
|
| 572 |
color: #fff;
|
| 573 |
background: var(--ovc-grad);
|
| 574 |
+
opacity: 0.94;
|
| 575 |
+
box-shadow: 0 1px 6px rgba(79,70,229,0.25);
|
| 576 |
}
|
| 577 |
+
|
| 578 |
+
/* Cards */
|
| 579 |
.ovc-card {
|
| 580 |
+
border-radius: 16px !important;
|
| 581 |
padding: 14px 16px !important;
|
| 582 |
+
border: 1px solid rgba(148,163,184,0.30) !important;
|
| 583 |
background: var(--background-fill-primary) !important;
|
| 584 |
+
box-shadow: 0 1px 3px rgba(15,23,42,0.04);
|
| 585 |
}
|
| 586 |
.ovc-card h3 {
|
| 587 |
+
font-size: 0.78rem !important;
|
| 588 |
font-weight: 700 !important;
|
| 589 |
text-transform: uppercase;
|
| 590 |
+
letter-spacing: 0.08em;
|
| 591 |
+
color: #4f46e5 !important;
|
| 592 |
+
margin: 0 0 10px !important;
|
| 593 |
+
}
|
| 594 |
+
.ovc-card h3::before {
|
| 595 |
+
content: "";
|
| 596 |
+
display: inline-block;
|
| 597 |
+
width: 6px; height: 6px; border-radius: 50%;
|
| 598 |
+
background: var(--ovc-grad);
|
| 599 |
+
margin-right: 8px; vertical-align: middle;
|
| 600 |
+
transform: translateY(-1px);
|
| 601 |
}
|
| 602 |
+
|
| 603 |
+
/* Run button */
|
| 604 |
#ovc-run button {
|
| 605 |
width: 100%;
|
| 606 |
+
height: 52px !important;
|
| 607 |
+
font-size: 1.05rem !important;
|
| 608 |
+
font-weight: 700 !important;
|
| 609 |
+
letter-spacing: 0.01em;
|
| 610 |
background: var(--ovc-grad) !important;
|
| 611 |
border: none !important;
|
| 612 |
color: #fff !important;
|
| 613 |
+
border-radius: 14px !important;
|
| 614 |
+
box-shadow: 0 6px 18px rgba(37, 99, 235, 0.32);
|
| 615 |
+
transition: transform 0.06s ease, box-shadow 0.2s ease;
|
| 616 |
+
}
|
| 617 |
+
#ovc-run button:hover {
|
| 618 |
+
transform: translateY(-1px);
|
| 619 |
+
box-shadow: 0 8px 22px rgba(37, 99, 235, 0.40);
|
| 620 |
}
|
|
|
|
| 621 |
#ovc-run button:active { transform: translateY(0); }
|
| 622 |
+
|
| 623 |
+
/* Preset buttons */
|
| 624 |
+
.ovc-preset button {
|
| 625 |
+
background: var(--ovc-grad-soft) !important;
|
| 626 |
+
color: #4338ca !important;
|
| 627 |
+
border: 1px solid rgba(79,70,229,0.25) !important;
|
| 628 |
+
border-radius: 10px !important;
|
| 629 |
+
font-weight: 600 !important;
|
| 630 |
+
transition: all 0.15s ease;
|
| 631 |
+
}
|
| 632 |
+
.ovc-preset button:hover {
|
| 633 |
+
background: var(--ovc-grad) !important;
|
| 634 |
+
color: #fff !important;
|
| 635 |
+
border-color: transparent !important;
|
| 636 |
+
}
|
| 637 |
+
|
| 638 |
+
/* Footer */
|
| 639 |
#ovc-footer {
|
| 640 |
text-align: center;
|
| 641 |
color: var(--body-text-color-subdued);
|
| 642 |
+
font-size: 0.80rem;
|
| 643 |
+
padding: 22px 8px 10px;
|
| 644 |
+
margin-top: 14px;
|
| 645 |
+
border-top: 1px solid rgba(148,163,184,0.18);
|
| 646 |
+
}
|
| 647 |
+
#ovc-footer code {
|
| 648 |
+
background: rgba(79,70,229,0.08);
|
| 649 |
+
padding: 1px 6px;
|
| 650 |
+
border-radius: 4px;
|
| 651 |
}
|
| 652 |
+
|
| 653 |
+
/* Tighter spacing for sliders inside cards */
|
| 654 |
+
.ovc-card .gradio-slider { margin-bottom: 4px !important; }
|
| 655 |
"""
|
| 656 |
|
| 657 |
THEME = gr.themes.Soft(
|
|
|
|
| 668 |
|
| 669 |
HERO_HTML = """
|
| 670 |
<div id="ovc-hero">
|
| 671 |
+
<h1>OneVision Patch Inspector</h1>
|
| 672 |
<p class="tagline">
|
| 673 |
+
See which patches a codec-style saliency picks from your video,
|
| 674 |
then pack them into the canvas LLaVA-OneVision2 consumes.
|
| 675 |
+
A visual lab for inspecting <i>where</i> the encoder — and the model — is actually looking.
|
| 676 |
</p>
|
| 677 |
<div class="pills">
|
| 678 |
+
<span class="pill">selection · heatmap · side-by-side</span>
|
| 679 |
+
<span class="pill">gradient + motion saliency</span>
|
| 680 |
+
<span class="pill">presets · charts · canvas export</span>
|
| 681 |
</div>
|
| 682 |
</div>
|
| 683 |
"""
|
|
|
|
| 686 |
_GR_MAJOR = int(gr.__version__.split(".")[0])
|
| 687 |
except Exception:
|
| 688 |
_GR_MAJOR = 4
|
| 689 |
+
_BLOCK_KW: dict = {"title": "OneVision Patch Inspector"}
|
| 690 |
_LAUNCH_KW: dict = {}
|
| 691 |
if _GR_MAJOR >= 6:
|
| 692 |
# In Gradio 6.0 these moved off Blocks(...) onto launch(...).
|
|
|
|
| 696 |
_BLOCK_KW["theme"] = THEME
|
| 697 |
_BLOCK_KW["css"] = CUSTOM_CSS
|
| 698 |
|
| 699 |
+
|
| 700 |
+
VIZ_CHOICES = [
|
| 701 |
+
("Selection — kept patches in color, others fade to gray-white", "selection"),
|
| 702 |
+
("Heatmap — full-frame JET overlay (blue=low, red=high)", "heatmap"),
|
| 703 |
+
("Side-by-side — selection on the left, heatmap on the right", "sbs"),
|
| 704 |
+
]
|
| 705 |
+
SIGNAL_CHOICES = [
|
| 706 |
+
("Gradient — intra-frame Sobel (sharp edges, textures, text)", "gradient"),
|
| 707 |
+
("Frame diff — inter-frame motion (movers, action)", "frame_diff"),
|
| 708 |
+
("Combined — 0.5·gradient + 0.5·frame_diff (general purpose)", "combined"),
|
| 709 |
+
]
|
| 710 |
+
|
| 711 |
+
|
| 712 |
with gr.Blocks(**_BLOCK_KW) as demo:
|
| 713 |
gr.HTML(HERO_HTML)
|
| 714 |
|
|
|
|
| 722 |
with gr.Group(elem_classes="ovc-card"):
|
| 723 |
gr.Markdown("### Pipeline")
|
| 724 |
viz_mode = gr.Radio(
|
| 725 |
+
VIZ_CHOICES, value="selection",
|
| 726 |
label="Visualization mode",
|
| 727 |
)
|
| 728 |
sample_frames = gr.Slider(
|
|
|
|
| 735 |
PATCH_CHOICES, value=14, label="Patch size (px)",
|
| 736 |
)
|
| 737 |
|
| 738 |
+
with gr.Group(elem_classes="ovc-card"):
|
| 739 |
+
gr.Markdown("### Quick presets")
|
| 740 |
+
with gr.Row(elem_classes="ovc-preset"):
|
| 741 |
+
btn_detail = gr.Button("Detail", size="sm")
|
| 742 |
+
btn_motion = gr.Button("Motion", size="sm")
|
| 743 |
+
btn_balanced = gr.Button("Balanced", size="sm")
|
| 744 |
+
gr.Markdown(
|
| 745 |
+
"<small><b>Detail</b>: gradient · pct=99 · heatmap | "
|
| 746 |
+
"<b>Motion</b>: frame_diff · pct=95 · heatmap | "
|
| 747 |
+
"<b>Balanced</b>: combined · log · pct=96 · sbs</small>"
|
| 748 |
+
)
|
| 749 |
+
|
| 750 |
with gr.Accordion("Time window", open=False):
|
| 751 |
with gr.Row():
|
| 752 |
start_sec = gr.Number(value=0.0, precision=2, label="Start (s)")
|
|
|
|
| 757 |
|
| 758 |
with gr.Accordion("Saliency", open=False):
|
| 759 |
saliency_signal = gr.Radio(
|
| 760 |
+
SIGNAL_CHOICES, value="gradient",
|
| 761 |
label="Scoring signal",
|
|
|
|
|
|
|
|
|
|
| 762 |
)
|
| 763 |
score_log_scale = gr.Checkbox(
|
| 764 |
+
value=False,
|
| 765 |
+
label="Apply log1p to scores",
|
| 766 |
+
info="Compresses dynamic range — brings up mid-energy patches.",
|
| 767 |
)
|
| 768 |
bitcost_pct = gr.Slider(
|
| 769 |
80.0, 99.9, value=99.0, step=0.1,
|
| 770 |
label="Heatmap normalization percentile",
|
| 771 |
+
info="Higher = harder to saturate red; lower = more vivid.",
|
| 772 |
)
|
| 773 |
|
| 774 |
with gr.Accordion("Visual style", open=False):
|
|
|
|
| 795 |
vis_out = gr.Video(
|
| 796 |
label="", show_label=False, autoplay=True, height=420,
|
| 797 |
)
|
| 798 |
+
|
| 799 |
+
with gr.Group(elem_classes="ovc-card"):
|
| 800 |
+
gr.Markdown("### Score distribution & per-frame patch count")
|
| 801 |
+
chart_out = gr.Plot(label="", show_label=False)
|
| 802 |
+
|
| 803 |
with gr.Row():
|
| 804 |
with gr.Column(scale=1):
|
| 805 |
with gr.Group(elem_classes="ovc-card"):
|
|
|
|
| 809 |
)
|
| 810 |
with gr.Column(scale=1):
|
| 811 |
with gr.Group(elem_classes="ovc-card"):
|
| 812 |
+
gr.Markdown("### Run summary")
|
| 813 |
+
gr.Markdown(
|
| 814 |
+
"<small>The full per-run JSON is collapsed below "
|
| 815 |
+
"to keep things tidy. Click to expand.</small>"
|
| 816 |
)
|
| 817 |
+
with gr.Accordion("Show full run info (JSON)", open=False):
|
| 818 |
+
info_out = gr.Code(
|
| 819 |
+
label="", language="json", lines=18,
|
| 820 |
+
)
|
| 821 |
|
| 822 |
gr.HTML(
|
| 823 |
'<div id="ovc-footer">'
|
|
|
|
| 827 |
'</div>'
|
| 828 |
)
|
| 829 |
|
| 830 |
+
# Preset wiring: each updates 4 controls atomically.
|
| 831 |
+
for btn, key in [
|
| 832 |
+
(btn_detail, "detail"),
|
| 833 |
+
(btn_motion, "motion"),
|
| 834 |
+
(btn_balanced, "balanced"),
|
| 835 |
+
]:
|
| 836 |
+
btn.click(
|
| 837 |
+
lambda k=key: apply_preset(k),
|
| 838 |
+
inputs=None,
|
| 839 |
+
outputs=[saliency_signal, score_log_scale, bitcost_pct, viz_mode],
|
| 840 |
+
)
|
| 841 |
+
|
| 842 |
run_btn.click(
|
| 843 |
process,
|
| 844 |
inputs=[
|
|
|
|
| 847 |
start_sec, end_sec,
|
| 848 |
saliency_signal, score_log_scale, bitcost_pct, fade_strength,
|
| 849 |
],
|
| 850 |
+
outputs=[vis_out, canvas_out, info_out, chart_out],
|
| 851 |
)
|
| 852 |
|
| 853 |
|
|
@@ -2,4 +2,5 @@ opencv-python-headless>=4.8
|
|
| 2 |
numpy>=1.24
|
| 3 |
imageio>=2.34
|
| 4 |
imageio-ffmpeg>=0.5
|
|
|
|
| 5 |
Pillow>=10.0
|
|
|
|
| 2 |
numpy>=1.24
|
| 3 |
imageio>=2.34
|
| 4 |
imageio-ffmpeg>=0.5
|
| 5 |
+
matplotlib>=3.7
|
| 6 |
Pillow>=10.0
|