Subh775 commited on
Commit
80d4d16
·
1 Parent(s): ab43833

about tab/ minor fixes..

Browse files
Files changed (1) hide show
  1. frontend/vehicles.html +16 -8
frontend/vehicles.html CHANGED
@@ -330,7 +330,7 @@
330
  </a>
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  <a onclick="switchTab('overview')" id="nav-overview"
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  class="flex items-center px-4 py-2.5 rounded-lg transition cursor-pointer nav-item-inactive">
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- <i class="fa-solid fa-desktop w-6"></i> <span class="font-medium">Overview</span>
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  </a>
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  <a onclick="switchTab('run-details')" id="nav-run-details"
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  class="flex items-center px-4 py-2.5 rounded-lg transition cursor-pointer nav-item-inactive">
@@ -362,10 +362,10 @@
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  <main class="flex-1 flex flex-col h-full min-w-0 p-4 gap-4">
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  <!-- TAB: About -->
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- <div id="tab-about" class="hidden flex-1 min-h-0 overflow-y-auto pr-4">
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- <div class="max-w-5xl">
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- <div class="mb-10 pb-10" style="border-bottom:1px solid #1a1a1a">
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- <p class="text-lg font-montserrat font-medium italic leading-relaxed"
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  style="color:#a89f97">
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  &ldquo;Traffic data has always existed on Indian roads &mdash; in the movement of every vehicle,
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  every crossing, every congested junction.
@@ -374,7 +374,7 @@
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  </p>
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  </div>
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- <div class="space-y-6 leading-relaxed text-sm" style="color:#a89f97">
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  <p>
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  UrbanFlow is a computer vision system purpose-built for traffic analysis on Indian roads.
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  It processes video footage and returns structured outputs &mdash; vehicle counts by class,
@@ -386,7 +386,7 @@
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  and transport infrastructure assessment. Footage is submitted, inference runs in the cloud,
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  and results are returned as structured KPI outputs and downloadable reports.
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  </p>
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- <div class="grid grid-cols-3 gap-8 pt-8" style="border-top:1px solid #1a1a1a">
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  <div class="space-y-4">
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  <h4 class="font-bold text-[13px] uppercase tracking-wider" style="color:#f0ece6">What It Does</h4>
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  <ul class="text-xs space-y-3 pl-1">
@@ -1462,7 +1462,8 @@
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  return;
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  }
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- const pct = ((d.frame_index / d.total_iters) * 100).toFixed(1);
 
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  document.getElementById('proc-bar').style.width = pct + '%';
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  document.getElementById('proc-frames').innerText = `${d.frame_index} / ${d.total_iters} Frames`;
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@@ -1523,6 +1524,7 @@
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  const url = `/reports/${videoId}/${name}`;
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  const isVideo = name.endsWith('.mp4');
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  const isPDF = name.endsWith('.pdf');
 
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  const card = document.createElement('div');
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  card.className = 'bg-black rounded-xl border border-slate-800 shadow-sm flex flex-col overflow-hidden';
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@@ -1539,6 +1541,12 @@
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  <i class="fa-solid fa-file-pdf text-6xl mb-4 text-white"></i>
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  <span class="text-xs font-bold uppercase tracking-widest text-slate-500">PDF Document</span>
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  </div>`;
 
 
 
 
 
 
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  } else {
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  previewHTML = `<img src="${url}" alt="${info.title}" class="max-w-full max-h-[320px] object-contain rounded">`;
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  }
 
330
  </a>
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  <a onclick="switchTab('overview')" id="nav-overview"
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  class="flex items-center px-4 py-2.5 rounded-lg transition cursor-pointer nav-item-inactive">
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+ <i class="fa-solid fa-desktop w-6"></i> <span class="font-medium">Stats</span>
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  </a>
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  <a onclick="switchTab('run-details')" id="nav-run-details"
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  class="flex items-center px-4 py-2.5 rounded-lg transition cursor-pointer nav-item-inactive">
 
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  <main class="flex-1 flex flex-col h-full min-w-0 p-4 gap-4">
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  <!-- TAB: About -->
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+ <div id="tab-about" class="hidden flex-1 min-h-0 overflow-y-auto px-12 py-12">
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+ <div class="max-w-4xl mx-auto bg-black border border-slate-800 rounded-[2.5rem] p-12 shadow-2xl space-y-12">
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+ <div class="text-center pb-12 border-b border-slate-900">
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+ <p class="text-[13px] font-montserrat font-medium italic leading-relaxed max-w-2xl mx-auto"
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  style="color:#a89f97">
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  &ldquo;Traffic data has always existed on Indian roads &mdash; in the movement of every vehicle,
371
  every crossing, every congested junction.
 
374
  </p>
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  </div>
376
 
377
+ <div class="space-y-6 leading-relaxed text-sm text-center" style="color:#a89f97">
378
  <p>
379
  UrbanFlow is a computer vision system purpose-built for traffic analysis on Indian roads.
380
  It processes video footage and returns structured outputs &mdash; vehicle counts by class,
 
386
  and transport infrastructure assessment. Footage is submitted, inference runs in the cloud,
387
  and results are returned as structured KPI outputs and downloadable reports.
388
  </p>
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+ <div class="grid grid-cols-3 gap-8 pt-8 text-left border-t border-slate-900">
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  <div class="space-y-4">
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  <h4 class="font-bold text-[13px] uppercase tracking-wider" style="color:#f0ece6">What It Does</h4>
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  <ul class="text-xs space-y-3 pl-1">
 
1462
  return;
1463
  }
1464
 
1465
+ let pct = ((d.frame_index / d.total_iters) * 100).toFixed(1);
1466
+ if (d.frame_index >= d.total_iters - 1) pct = '100.0';
1467
  document.getElementById('proc-bar').style.width = pct + '%';
1468
  document.getElementById('proc-frames').innerText = `${d.frame_index} / ${d.total_iters} Frames`;
1469
 
 
1524
  const url = `/reports/${videoId}/${name}`;
1525
  const isVideo = name.endsWith('.mp4');
1526
  const isPDF = name.endsWith('.pdf');
1527
+ const isCSV = name.endsWith('.csv');
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  const card = document.createElement('div');
1529
  card.className = 'bg-black rounded-xl border border-slate-800 shadow-sm flex flex-col overflow-hidden';
1530
 
 
1541
  <i class="fa-solid fa-file-pdf text-6xl mb-4 text-white"></i>
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  <span class="text-xs font-bold uppercase tracking-widest text-slate-500">PDF Document</span>
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  </div>`;
1544
+ } else if (isCSV) {
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+ previewHTML = `
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+ <div class="flex flex-col items-center justify-center py-12 text-slate-700">
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+ <i class="fa-solid fa-file-csv text-6xl mb-4 text-white"></i>
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+ <span class="text-xs font-bold uppercase tracking-widest text-slate-500">Raw Analytics Export</span>
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+ </div>`;
1550
  } else {
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  previewHTML = `<img src="${url}" alt="${info.title}" class="max-w-full max-h-[320px] object-contain rounded">`;
1552
  }