Remove "Position" to make the display more tidy.

SignX/detailed_prediction_20251226_235251/sample_000/analysis_report.txt

@@ -0,0 +1,46 @@
+================================================================================
+  Sign Language Recognition - Attention分析报告
+================================================================================
+
+生成时间: 2025-12-26 23:52:55
+
+翻译结果:
+--------------------------------------------------------------------------------
+<unk> #IF FRIEND GROUP/TOGETHER DEPART PARTY IX-1p FINISH JOIN IX-1p
+
+视频信息:
+--------------------------------------------------------------------------------
+总帧数: 28
+词数量: 10
+
+Attention权重信息:
+--------------------------------------------------------------------------------
+形状: (28, 8, 28)
+  - 解码步数: 28
+  - Batch大小: 8
+
+词-帧对应详情:
+================================================================================
+No.   Word                 Frames          Peak     Attn     Conf      
+--------------------------------------------------------------------------------
+1     <unk>                0-0             0        0.133    low       
+2     #IF                  2-3             2        0.359    medium    
+3     FRIEND               5-5             5        0.449    medium    
+4     GROUP/TOGETHER       8-8             8        0.371    medium    
+5     DEPART               27-27           27       0.305    medium    
+6     PARTY                27-27           27       0.296    medium    
+7     IX-1p                27-27           27       0.326    medium    
+8     FINISH               11-12           12       0.467    medium    
+9     JOIN                 13-14           14       0.317    medium    
+10    IX-1p                17-17           17       0.358    medium    
+
+================================================================================
+
+统计摘要:
+--------------------------------------------------------------------------------
+平均attention权重: 0.338
+高置信度词: 0 (0.0%)
+中置信度词: 9 (90.0%)
+低置信度词: 1 (10.0%)
+
+================================================================================

SignX/detailed_prediction_20251226_235251/sample_000/attention_weights.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7414e5ab870540255a4bc963aa612d837eca27b95da7b4603c4c8e39f82b8c01
+size 25216

SignX/detailed_prediction_20251226_235251/sample_000/debug_video_path.txt

@@ -0,0 +1,4 @@
+video_path = '/common/users/sf895/output/huggingface_asllrp_repo/SignX/eval/tiny_test_data/videos/632051.mp4'
+video_path type = <class 'str'>
+video_path is None: False
+bool(video_path): True

SignX/detailed_prediction_20251226_235251/sample_000/feature_frame_mapping.json

@@ -0,0 +1,176 @@
+{
+  "original_frame_count": 106,
+  "feature_count": 28,
+  "downsampling_ratio": 3.7857142857142856,
+  "fps": 24.0,
+  "mapping": [
+    {
+      "feature_index": 0,
+      "frame_start": 0,
+      "frame_end": 3,
+      "frame_count": 3
+    },
+    {
+      "feature_index": 1,
+      "frame_start": 3,
+      "frame_end": 7,
+      "frame_count": 4
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+    {
+      "feature_index": 2,
+      "frame_start": 7,
+      "frame_end": 11,
+      "frame_count": 4
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+    {
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+      "frame_end": 15,
+      "frame_count": 4
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+    {
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+      "frame_end": 18,
+      "frame_count": 3
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+    {
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+      "frame_count": 4
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+    {
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+      "frame_count": 4
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+    {
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+      "frame_end": 30,
+      "frame_count": 4
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+      "frame_count": 4
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+      "frame_end": 37,
+      "frame_count": 3
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+    {
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+      "frame_start": 37,
+      "frame_end": 41,
+      "frame_count": 4
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+      "frame_end": 45,
+      "frame_count": 4
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+    {
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+      "frame_end": 49,
+      "frame_count": 4
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+    {
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+      "frame_end": 53,
+      "frame_count": 4
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+      "frame_end": 56,
+      "frame_count": 3
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+    {
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+      "frame_start": 56,
+      "frame_end": 60,
+      "frame_count": 4
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+    {
+      "feature_index": 16,
+      "frame_start": 60,
+      "frame_end": 64,
+      "frame_count": 4
+    },
+    {
+      "feature_index": 17,
+      "frame_start": 64,
+      "frame_end": 68,
+      "frame_count": 4
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+    {
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+      "frame_start": 68,
+      "frame_end": 71,
+      "frame_count": 3
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+    {
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+      "frame_start": 71,
+      "frame_end": 75,
+      "frame_count": 4
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+    {
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+      "frame_start": 75,
+      "frame_end": 79,
+      "frame_count": 4
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+    {
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+      "frame_start": 79,
+      "frame_end": 83,
+      "frame_count": 4
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+    {
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+      "frame_end": 87,
+      "frame_count": 4
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+    {
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+      "frame_start": 87,
+      "frame_end": 90,
+      "frame_count": 3
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+    {
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+      "frame_end": 94,
+      "frame_count": 4
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+    {
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+    {
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+      "frame_count": 4
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+    {
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+      "frame_start": 102,
+      "frame_end": 106,
+      "frame_count": 4
+    }
+  ]
+}

SignX/detailed_prediction_20251226_235251/sample_000/frame_alignment.json

@@ -0,0 +1,104 @@
+{
+  "translation": "<unk> #IF FRIEND GROUP/TOGETHER DEPART PARTY IX-1p FINISH JOIN IX-1p",
+  "words": [
+    "<unk>",
+    "#IF",
+    "FRIEND",
+    "GROUP/TOGETHER",
+    "DEPART",
+    "PARTY",
+    "IX-1p",
+    "FINISH",
+    "JOIN",
+    "IX-1p"
+  ],
+  "total_video_frames": 28,
+  "frame_ranges": [
+    {
+      "word": "<unk>",
+      "start_frame": 0,
+      "end_frame": 0,
+      "peak_frame": 0,
+      "avg_attention": 0.13272422552108765,
+      "confidence": "low"
+    },
+    {
+      "word": "#IF",
+      "start_frame": 2,
+      "end_frame": 3,
+      "peak_frame": 2,
+      "avg_attention": 0.35901427268981934,
+      "confidence": "medium"
+    },
+    {
+      "word": "FRIEND",
+      "start_frame": 5,
+      "end_frame": 5,
+      "peak_frame": 5,
+      "avg_attention": 0.4494199752807617,
+      "confidence": "medium"
+    },
+    {
+      "word": "GROUP/TOGETHER",
+      "start_frame": 8,
+      "end_frame": 8,
+      "peak_frame": 8,
+      "avg_attention": 0.3710141181945801,
+      "confidence": "medium"
+    },
+    {
+      "word": "DEPART",
+      "start_frame": 27,
+      "end_frame": 27,
+      "peak_frame": 27,
+      "avg_attention": 0.30533191561698914,
+      "confidence": "medium"
+    },
+    {
+      "word": "PARTY",
+      "start_frame": 27,
+      "end_frame": 27,
+      "peak_frame": 27,
+      "avg_attention": 0.2963099479675293,
+      "confidence": "medium"
+    },
+    {
+      "word": "IX-1p",
+      "start_frame": 27,
+      "end_frame": 27,
+      "peak_frame": 27,
+      "avg_attention": 0.3264133930206299,
+      "confidence": "medium"
+    },
+    {
+      "word": "FINISH",
+      "start_frame": 11,
+      "end_frame": 12,
+      "peak_frame": 12,
+      "avg_attention": 0.46679070591926575,
+      "confidence": "medium"
+    },
+    {
+      "word": "JOIN",
+      "start_frame": 13,
+      "end_frame": 14,
+      "peak_frame": 14,
+      "avg_attention": 0.3172740340232849,
+      "confidence": "medium"
+    },
+    {
+      "word": "IX-1p",
+      "start_frame": 17,
+      "end_frame": 17,
+      "peak_frame": 17,
+      "avg_attention": 0.3579559326171875,
+      "confidence": "medium"
+    }
+  ],
+  "statistics": {
+    "avg_confidence": 0.33822485208511355,
+    "high_confidence_words": 0,
+    "medium_confidence_words": 9,
+    "low_confidence_words": 1
+  }
+}

SignX/detailed_prediction_20251226_235251/sample_000/interactive_alignment.html

@@ -0,0 +1,579 @@
+<!DOCTYPE html>
+<html lang="zh-CN">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Interactive Word-Frame Alignment</title>
+    <style>
+        body {
+            font-family: 'Arial', sans-serif;
+            margin: 20px;
+            background-color: #f5f5f5;
+        }
+        .container {
+            max-width: 1800px;
+            margin: 0 auto;
+            background-color: white;
+            padding: 30px;
+            border-radius: 8px;
+            box-shadow: 0 2px 10px rgba(0,0,0,0.1);
+        }
+        h1 {
+            color: #333;
+            border-bottom: 3px solid #4CAF50;
+            padding-bottom: 10px;
+            margin-bottom: 20px;
+        }
+        .stats {
+            background-color: #E3F2FD;
+            padding: 15px;
+            border-radius: 5px;
+            margin-bottom: 20px;
+            border-left: 4px solid #2196F3;
+            font-size: 14px;
+        }
+        .controls {
+            background-color: #f9f9f9;
+            padding: 20px;
+            border-radius: 5px;
+            margin-bottom: 30px;
+            border: 1px solid #ddd;
+        }
+        .control-group {
+            margin-bottom: 15px;
+        }
+        label {
+            font-weight: bold;
+            display: inline-block;
+            width: 250px;
+            color: #555;
+        }
+        input[type="range"] {
+            width: 400px;
+            vertical-align: middle;
+        }
+        .value-display {
+            display: inline-block;
+            width: 80px;
+            font-family: monospace;
+            font-size: 14px;
+            color: #2196F3;
+            font-weight: bold;
+        }
+        .reset-btn {
+            margin-top: 15px;
+            padding: 10px 25px;
+            background-color: #2196F3;
+            color: white;
+            border: none;
+            border-radius: 5px;
+            cursor: pointer;
+            font-size: 14px;
+            font-weight: bold;
+        }
+        .reset-btn:hover {
+            background-color: #1976D2;
+        }
+        canvas {
+            border: 1px solid #999;
+            display: block;
+            margin: 20px auto;
+            background: white;
+        }
+        .legend {
+            margin-top: 20px;
+            padding: 15px;
+            background-color: #fff;
+            border: 1px solid #ddd;
+            border-radius: 5px;
+        }
+        .legend-item {
+            display: inline-block;
+            margin-right: 25px;
+            font-size: 13px;
+            margin-bottom: 10px;
+        }
+        .color-box {
+            display: inline-block;
+            width: 30px;
+            height: 15px;
+            margin-right: 8px;
+            vertical-align: middle;
+            border: 1px solid #666;
+        }
+        .info-panel {
+            margin-top: 20px;
+            padding: 15px;
+            background-color: #f9f9f9;
+            border-radius: 5px;
+            border: 1px solid #ddd;
+        }
+        .confidence {
+            display: inline-block;
+            padding: 3px 10px;
+            border-radius: 10px;
+            font-weight: bold;
+            font-size: 11px;
+            text-transform: uppercase;
+        }
+        .confidence.high {
+            background-color: #4CAF50;
+            color: white;
+        }
+        .confidence.medium {
+            background-color: #FF9800;
+            color: white;
+        }
+        .confidence.low {
+            background-color: #f44336;
+            color: white;
+        }
+    </style>
+</head>
+<body>
+    <div class="container">
+        <h1>🎯 Interactive Word-to-Frame Alignment Visualizer</h1>
+
+        <div class="stats">
+            <strong>Translation:</strong> <unk> #IF FRIEND GROUP/TOGETHER DEPART PARTY IX-1p FINISH JOIN IX-1p<br>
+            <strong>Total Words:</strong> 10 |
+            <strong>Total Features:</strong> 8
+        </div>
+
+        <div class="controls">
+            <h3>⚙️ Threshold Controls</h3>
+
+            <div class="control-group">
+                <label for="peak-threshold">Peak Threshold (% of max):</label>
+                <input type="range" id="peak-threshold" min="1" max="100" value="90" step="1">
+                <span class="value-display" id="peak-threshold-value">90%</span>
+                <br>
+                <small style="margin-left: 255px; color: #666;">
+                    帧的注意力权重 ≥ (峰值权重 × 阈值%) 时被认为是"显著帧"
+                </small>
+            </div>
+
+            <div class="control-group">
+                <label for="confidence-high">High Confidence (avg attn >):</label>
+                <input type="range" id="confidence-high" min="0" max="100" value="50" step="1">
+                <span class="value-display" id="confidence-high-value">0.50</span>
+            </div>
+
+            <div class="control-group">
+                <label for="confidence-medium">Medium Confidence (avg attn >):</label>
+                <input type="range" id="confidence-medium" min="0" max="100" value="20" step="1">
+                <span class="value-display" id="confidence-medium-value">0.20</span>
+            </div>
+
+            <button class="reset-btn" onclick="resetDefaults()">
+                Reset to Defaults
+            </button>
+        </div>
+
+        <div>
+            <h3>Word-to-Frame Alignment</h3>
+            <p style="color: #666; font-size: 13px;">
+                每个词显示为彩色矩形，宽度表示该词对应的特征帧范围。★ = 峰值帧。矩形内部显示注意力权重波形。
+            </p>
+            <canvas id="alignment-canvas" width="1600" height="600"></canvas>
+
+            <h3 style="margin-top: 30px;">Timeline Progress Bar</h3>
+            <canvas id="timeline-canvas" width="1600" height="100"></canvas>
+
+            <div class="legend">
+                <strong>Legend:</strong><br><br>
+                <div class="legend-item">
+                    <span class="confidence high">High</span>
+                    <span class="confidence medium">Medium</span>
+                    <span class="confidence low">Low</span>
+                    Confidence Levels (opacity reflects confidence)
+                </div>
+                <div class="legend-item">
+                    <span style="color: red; font-size: 20px;">★</span>
+                    Peak Frame (highest attention)
+                </div>
+                <div class="legend-item">
+                    <span style="color: blue;">━</span>
+                    Attention Waveform (within word region)
+                </div>
+            </div>
+        </div>
+
+        <div class="info-panel">
+            <h3>Alignment Details</h3>
+            <div id="alignment-details"></div>
+        </div>
+    </div>
+
+    <script>
+        // Attention data from Python
+        const attentionData = [{"word": "<unk>", "word_idx": 0, "weights": [0.13272422552108765, 0.13272422552108765, 0.13272422552108765, 0.13272422552108765, 0.13272422552108765, 0.13272422552108765, 0.13272422552108765, 0.13272422552108765]}, {"word": "#IF", "word_idx": 1, "weights": [0.035573869943618774, 0.03952416777610779, 0.03952416777610779, 0.03952416777610779, 0.03952416777610779, 0.03952416777610779, 0.03952416777610779, 0.04215671867132187]}, {"word": "FRIEND", "word_idx": 2, "weights": [0.0035305300261825323, 0.06121520698070526, 0.038338951766490936, 0.03721731901168823, 0.0396437793970108, 0.06121520698070526, 0.03798501193523407, 0.06121520698070526]}, {"word": "GROUP/TOGETHER", "word_idx": 3, "weights": [0.0032519344240427017, 0.06749927252531052, 0.06769093871116638, 0.06797394156455994, 0.05660902336239815, 0.0032519344240427017, 0.06791087239980698, 0.06749927252531052]}, {"word": "DEPART", "word_idx": 4, "weights": [0.1269645392894745, 0.011337662115693092, 0.011169591918587685, 0.011129447259008884, 0.011337662115693092, 0.14123021066188812, 0.007393963634967804, 0.011116056703031063]}, {"word": "PARTY", "word_idx": 5, "weights": [0.08145920932292938, 0.003315121866762638, 0.24030542373657227, 0.0034980459604412317, 0.0034834302496165037, 0.16299134492874146, 0.003404060145840049, 0.0034867869690060616]}, {"word": "IX-1p", "word_idx": 6, "weights": [0.08820953965187073, 0.14399001002311707, 0.00422912510111928, 0.09592650085687637, 0.004478602670133114, 0.004475735127925873, 0.00422912510111928, 0.00439990172162652]}, {"word": "FINISH", "word_idx": 7, "weights": [0.0013184626586735249, 0.0013184626586735249, 0.0013184626586735249, 0.1313352882862091, 0.0013184626586735249, 0.14886727929115295, 0.14913317561149597, 0.004780622664839029]}, {"word": "JOIN", "word_idx": 8, "weights": [0.00555413169786334, 0.006608393043279648, 0.00555413169786334, 0.1470479518175125, 0.13233929872512817, 0.09560006111860275, 0.00555413169786334, 0.08190114796161652]}, {"word": "IX-1p", "word_idx": 9, "weights": [0.03655996546149254, 0.03403225541114807, 0.27225977182388306, 0.35054582357406616, 0.03655996546149254, 0.27422454953193665, 0.03655996546149254, 0.09239426255226135]}];
+        const numGlosses = 10;
+        const numFeatures = 8;
+
+        // Colors for different words (matching matplotlib tab20)
+        const colors = [
+            '#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd',
+            '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf',
+            '#aec7e8', '#ffbb78', '#98df8a', '#ff9896', '#c5b0d5',
+            '#c49c94', '#f7b6d2', '#c7c7c7', '#dbdb8d', '#9edae5'
+        ];
+
+        // Get controls
+        const peakThresholdSlider = document.getElementById('peak-threshold');
+        const peakThresholdValue = document.getElementById('peak-threshold-value');
+        const confidenceHighSlider = document.getElementById('confidence-high');
+        const confidenceHighValue = document.getElementById('confidence-high-value');
+        const confidenceMediumSlider = document.getElementById('confidence-medium');
+        const confidenceMediumValue = document.getElementById('confidence-medium-value');
+        const alignmentCanvas = document.getElementById('alignment-canvas');
+        const timelineCanvas = document.getElementById('timeline-canvas');
+        const alignmentCtx = alignmentCanvas.getContext('2d');
+        const timelineCtx = timelineCanvas.getContext('2d');
+
+        // Update displays when sliders change
+        peakThresholdSlider.oninput = function() {
+            peakThresholdValue.textContent = this.value + '%';
+            updateVisualization();
+        };
+
+        confidenceHighSlider.oninput = function() {
+            confidenceHighValue.textContent = (this.value / 100).toFixed(2);
+            updateVisualization();
+        };
+
+        confidenceMediumSlider.oninput = function() {
+            confidenceMediumValue.textContent = (this.value / 100).toFixed(2);
+            updateVisualization();
+        };
+
+        function resetDefaults() {
+            peakThresholdSlider.value = 90;
+            confidenceHighSlider.value = 50;
+            confidenceMediumSlider.value = 20;
+            peakThresholdValue.textContent = '90%';
+            confidenceHighValue.textContent = '0.50';
+            confidenceMediumValue.textContent = '0.20';
+            updateVisualization();
+        }
+
+        function calculateAlignment(weights, peakThreshold) {
+            // Find peak
+            let peakIdx = 0;
+            let peakWeight = weights[0];
+            for (let i = 1; i < weights.length; i++) {
+                if (weights[i] > peakWeight) {
+                    peakWeight = weights[i];
+                    peakIdx = i;
+                }
+            }
+
+            // Find significant frames
+            const threshold = peakWeight * (peakThreshold / 100);
+            let startIdx = peakIdx;
+            let endIdx = peakIdx;
+            let sumWeight = 0;
+            let count = 0;
+
+            for (let i = 0; i < weights.length; i++) {
+                if (weights[i] >= threshold) {
+                    if (i < startIdx) startIdx = i;
+                    if (i > endIdx) endIdx = i;
+                    sumWeight += weights[i];
+                    count++;
+                }
+            }
+
+            const avgWeight = count > 0 ? sumWeight / count : peakWeight;
+
+            return {
+                startIdx: startIdx,
+                endIdx: endIdx,
+                peakIdx: peakIdx,
+                peakWeight: peakWeight,
+                avgWeight: avgWeight,
+                threshold: threshold
+            };
+        }
+
+        function getConfidenceLevel(avgWeight, highThreshold, mediumThreshold) {
+            if (avgWeight > highThreshold) return 'high';
+            if (avgWeight > mediumThreshold) return 'medium';
+            return 'low';
+        }
+
+        function drawAlignmentChart() {
+            const peakThreshold = parseInt(peakThresholdSlider.value);
+            const highThreshold = parseInt(confidenceHighSlider.value) / 100;
+            const mediumThreshold = parseInt(confidenceMediumSlider.value) / 100;
+
+            // Canvas dimensions
+            const width = alignmentCanvas.width;
+            const height = alignmentCanvas.height;
+            const leftMargin = 180;
+            const rightMargin = 50;
+            const topMargin = 60;
+            const bottomMargin = 80;
+
+            const plotWidth = width - leftMargin - rightMargin;
+            const plotHeight = height - topMargin - bottomMargin;
+
+            const rowHeight = plotHeight / numGlosses;
+            const featureWidth = plotWidth / numFeatures;
+
+            // Clear canvas
+            alignmentCtx.clearRect(0, 0, width, height);
+
+            // Draw title
+            alignmentCtx.fillStyle = '#333';
+            alignmentCtx.font = 'bold 18px Arial';
+            alignmentCtx.textAlign = 'center';
+            alignmentCtx.fillText('Word-to-Frame Alignment', width / 2, 30);
+            alignmentCtx.font = '13px Arial';
+            alignmentCtx.fillText('(based on attention peaks, ★ = peak frame)', width / 2, 48);
+
+            // Calculate alignments
+            const alignments = [];
+            for (let wordIdx = 0; wordIdx < numGlosses; wordIdx++) {
+                const data = attentionData[wordIdx];
+                const alignment = calculateAlignment(data.weights, peakThreshold);
+                alignment.word = data.word;
+                alignment.wordIdx = wordIdx;
+                alignment.weights = data.weights;
+                alignments.push(alignment);
+            }
+
+            // Draw grid
+            alignmentCtx.strokeStyle = '#e0e0e0';
+            alignmentCtx.lineWidth = 0.5;
+            for (let i = 0; i <= numFeatures; i++) {
+                const x = leftMargin + i * featureWidth;
+                alignmentCtx.beginPath();
+                alignmentCtx.moveTo(x, topMargin);
+                alignmentCtx.lineTo(x, topMargin + plotHeight);
+                alignmentCtx.stroke();
+            }
+
+            // Draw word regions
+            for (let wordIdx = 0; wordIdx < numGlosses; wordIdx++) {
+                const alignment = alignments[wordIdx];
+                const confidence = getConfidenceLevel(alignment.avgWeight, highThreshold, mediumThreshold);
+                const y = topMargin + wordIdx * rowHeight;
+
+                // Alpha based on confidence
+                const alpha = confidence === 'high' ? 0.9 : confidence === 'medium' ? 0.7 : 0.5;
+
+                // Draw rectangle for word region
+                const startX = leftMargin + alignment.startIdx * featureWidth;
+                const rectWidth = (alignment.endIdx - alignment.startIdx + 1) * featureWidth;
+
+                alignmentCtx.fillStyle = colors[wordIdx % 20];
+                alignmentCtx.globalAlpha = alpha;
+                alignmentCtx.fillRect(startX, y, rectWidth, rowHeight * 0.8);
+                alignmentCtx.globalAlpha = 1.0;
+
+                // Draw border
+                alignmentCtx.strokeStyle = '#000';
+                alignmentCtx.lineWidth = 2;
+                alignmentCtx.strokeRect(startX, y, rectWidth, rowHeight * 0.8);
+
+                // Draw attention waveform inside rectangle
+                alignmentCtx.strokeStyle = 'rgba(0, 0, 255, 0.8)';
+                alignmentCtx.lineWidth = 1.5;
+                alignmentCtx.beginPath();
+                for (let i = alignment.startIdx; i <= alignment.endIdx; i++) {
+                    const x = leftMargin + i * featureWidth + featureWidth / 2;
+                    const weight = alignment.weights[i];
+                    const maxWeight = alignment.peakWeight;
+                    const normalizedWeight = weight / (maxWeight * 1.2); // Scale for visibility
+                    const waveY = y + rowHeight * 0.8 - (normalizedWeight * rowHeight * 0.6);
+
+                    if (i === alignment.startIdx) {
+                        alignmentCtx.moveTo(x, waveY);
+                    } else {
+                        alignmentCtx.lineTo(x, waveY);
+                    }
+                }
+                alignmentCtx.stroke();
+
+                // Draw word label
+                const labelX = startX + rectWidth / 2;
+                const labelY = y + rowHeight * 0.4;
+
+                alignmentCtx.fillStyle = 'rgba(0, 0, 0, 0.7)';
+                alignmentCtx.fillRect(labelX - 60, labelY - 12, 120, 24);
+                alignmentCtx.fillStyle = '#fff';
+                alignmentCtx.font = 'bold 13px Arial';
+                alignmentCtx.textAlign = 'center';
+                alignmentCtx.textBaseline = 'middle';
+                alignmentCtx.fillText(alignment.word, labelX, labelY);
+
+                // Mark peak frame with star
+                const peakX = leftMargin + alignment.peakIdx * featureWidth + featureWidth / 2;
+                const peakY = y + rowHeight * 0.4;
+
+                // Draw star
+                alignmentCtx.fillStyle = '#ff0000';
+                alignmentCtx.strokeStyle = '#ffff00';
+                alignmentCtx.lineWidth = 1.5;
+                alignmentCtx.font = '20px Arial';
+                alignmentCtx.textAlign = 'center';
+                alignmentCtx.strokeText('★', peakX, peakY);
+                alignmentCtx.fillText('★', peakX, peakY);
+
+                // Y-axis label (word names)
+                alignmentCtx.fillStyle = '#333';
+                alignmentCtx.font = '12px Arial';
+                alignmentCtx.textAlign = 'right';
+                alignmentCtx.textBaseline = 'middle';
+                alignmentCtx.fillText(alignment.word, leftMargin - 10, y + rowHeight * 0.4);
+            }
+
+            // Draw horizontal grid lines
+            alignmentCtx.strokeStyle = '#ccc';
+            alignmentCtx.lineWidth = 0.5;
+            for (let i = 0; i <= numGlosses; i++) {
+                const y = topMargin + i * rowHeight;
+                alignmentCtx.beginPath();
+                alignmentCtx.moveTo(leftMargin, y);
+                alignmentCtx.lineTo(leftMargin + plotWidth, y);
+                alignmentCtx.stroke();
+            }
+
+            // Draw axes
+            alignmentCtx.strokeStyle = '#000';
+            alignmentCtx.lineWidth = 2;
+            alignmentCtx.strokeRect(leftMargin, topMargin, plotWidth, plotHeight);
+
+            // X-axis labels (frame indices)
+            alignmentCtx.fillStyle = '#000';
+            alignmentCtx.font = '11px Arial';
+            alignmentCtx.textAlign = 'center';
+            alignmentCtx.textBaseline = 'top';
+            for (let i = 0; i < numFeatures; i++) {
+                const x = leftMargin + i * featureWidth + featureWidth / 2;
+                alignmentCtx.fillText(i.toString(), x, topMargin + plotHeight + 10);
+            }
+
+            // Axis titles
+            alignmentCtx.fillStyle = '#333';
+            alignmentCtx.font = 'bold 14px Arial';
+            alignmentCtx.textAlign = 'center';
+            alignmentCtx.fillText('Feature Frame Index', leftMargin + plotWidth / 2, height - 20);
+
+            alignmentCtx.save();
+            alignmentCtx.translate(30, topMargin + plotHeight / 2);
+            alignmentCtx.rotate(-Math.PI / 2);
+            alignmentCtx.fillText('Generated Word', 0, 0);
+            alignmentCtx.restore();
+
+            return alignments;
+        }
+
+        function drawTimeline(alignments) {
+            const highThreshold = parseInt(confidenceHighSlider.value) / 100;
+            const mediumThreshold = parseInt(confidenceMediumSlider.value) / 100;
+
+            const width = timelineCanvas.width;
+            const height = timelineCanvas.height;
+            const leftMargin = 180;
+            const rightMargin = 50;
+            const plotWidth = width - leftMargin - rightMargin;
+            const featureWidth = plotWidth / numFeatures;
+
+            // Clear canvas
+            timelineCtx.clearRect(0, 0, width, height);
+
+            // Background bar
+            timelineCtx.fillStyle = '#ddd';
+            timelineCtx.fillRect(leftMargin, 30, plotWidth, 40);
+            timelineCtx.strokeStyle = '#000';
+            timelineCtx.lineWidth = 2;
+            timelineCtx.strokeRect(leftMargin, 30, plotWidth, 40);
+
+            // Draw word regions on timeline
+            for (let wordIdx = 0; wordIdx < alignments.length; wordIdx++) {
+                const alignment = alignments[wordIdx];
+                const confidence = getConfidenceLevel(alignment.avgWeight, highThreshold, mediumThreshold);
+                const alpha = confidence === 'high' ? 0.9 : confidence === 'medium' ? 0.7 : 0.5;
+
+                const startX = leftMargin + alignment.startIdx * featureWidth;
+                const rectWidth = (alignment.endIdx - alignment.startIdx + 1) * featureWidth;
+
+                timelineCtx.fillStyle = colors[wordIdx % 20];
+                timelineCtx.globalAlpha = alpha;
+                timelineCtx.fillRect(startX, 30, rectWidth, 40);
+                timelineCtx.globalAlpha = 1.0;
+                timelineCtx.strokeStyle = '#000';
+                timelineCtx.lineWidth = 0.5;
+                timelineCtx.strokeRect(startX, 30, rectWidth, 40);
+            }
+
+            // Title
+            timelineCtx.fillStyle = '#333';
+            timelineCtx.font = 'bold 13px Arial';
+            timelineCtx.textAlign = 'left';
+            timelineCtx.fillText('Timeline Progress Bar', leftMargin, 20);
+        }
+
+        function updateDetailsPanel(alignments, highThreshold, mediumThreshold) {
+            const panel = document.getElementById('alignment-details');
+            let html = '<table style="width: 100%; border-collapse: collapse;">';
+            html += '<tr style="background: #f0f0f0; font-weight: bold;">';
+            html += '<th style="padding: 8px; border: 1px solid #ddd;">Word</th>';
+            html += '<th style="padding: 8px; border: 1px solid #ddd;">Feature Range</th>';
+            html += '<th style="padding: 8px; border: 1px solid #ddd;">Peak</th>';
+            html += '<th style="padding: 8px; border: 1px solid #ddd;">Span</th>';
+            html += '<th style="padding: 8px; border: 1px solid #ddd;">Avg Attention</th>';
+            html += '<th style="padding: 8px; border: 1px solid #ddd;">Confidence</th>';
+            html += '</tr>';
+
+            for (const align of alignments) {
+                const confidence = getConfidenceLevel(align.avgWeight, highThreshold, mediumThreshold);
+                const span = align.endIdx - align.startIdx + 1;
+
+                html += '<tr>';
+                html += `<td style="padding: 8px; border: 1px solid #ddd;"><strong>${align.word}</strong></td>`;
+                html += `<td style="padding: 8px; border: 1px solid #ddd;">${align.startIdx} → ${align.endIdx}</td>`;
+                html += `<td style="padding: 8px; border: 1px solid #ddd;">${align.peakIdx}</td>`;
+                html += `<td style="padding: 8px; border: 1px solid #ddd;">${span}</td>`;
+                html += `<td style="padding: 8px; border: 1px solid #ddd;">${align.avgWeight.toFixed(4)}</td>`;
+                html += `<td style="padding: 8px; border: 1px solid #ddd;"><span class="confidence ${confidence}">${confidence}</span></td>`;
+                html += '</tr>';
+            }
+
+            html += '</table>';
+            panel.innerHTML = html;
+        }
+
+        function updateVisualization() {
+            const alignments = drawAlignmentChart();
+            drawTimeline(alignments);
+            const highThreshold = parseInt(confidenceHighSlider.value) / 100;
+            const mediumThreshold = parseInt(confidenceMediumSlider.value) / 100;
+            updateDetailsPanel(alignments, highThreshold, mediumThreshold);
+        }
+
+        // Event listeners for sliders
+        peakSlider.addEventListener('input', function() {
+            peakValue.textContent = peakSlider.value + '%';
+            updateVisualization();
+        });
+
+        confidenceHighSlider.addEventListener('input', function() {
+            const val = parseInt(confidenceHighSlider.value) / 100;
+            confidenceHighValue.textContent = val.toFixed(2);
+            updateVisualization();
+        });
+
+        confidenceMediumSlider.addEventListener('input', function() {
+            const val = parseInt(confidenceMediumSlider.value) / 100;
+            confidenceMediumValue.textContent = val.toFixed(2);
+            updateVisualization();
+        });
+
+        // Initial visualization
+        updateVisualization();
+    </script>
+</body>
+</html>

SignX/detailed_prediction_20251226_235251/sample_000/translation.txt

@@ -0,0 +1,2 @@
+With BPE: <unk> #IF FRIEND GROUP/TOGE@@ TH@@ E@@ R DEPART PARTY IX-1p FINISH JO@@ I@@ N IX-1p
+Clean: <unk> #IF FRIEND GROUP/TOGETHER DEPART PARTY IX-1p FINISH JOIN IX-1p

SignX/eval/attention_analysis.py

@@ -681,8 +681,7 @@ class AttentionAnalyzer:
             feature_text += f"{'='*20}\n\n"
             feature_text += f"Range:\n  {feat_start} → {feat_end}\n\n"
             feature_text += f"Peak:\n  {feat_peak}\n\n"
-            feature_text += f"Count:\n  {feat_end - feat_start + 1} features\n\n"
-            feature_text += f"Position:\n  {(feat_start/self.video_frames)*100:.1f}% - {(feat_end/self.video_frames)*100:.1f}%"
+            feature_text += f"Count:\n  {feat_end - feat_start + 1} features"
 
             ax_feature.text(0.5, 0.5, feature_text, fontsize=11, family='monospace',
                            va='center', ha='center',