Upload two_stream_attn_v1_finetune_20260513T160347Z
Browse files- README.md +59 -47
- config.json +60 -40
README.md
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- accuracy
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- f1
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model-index:
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- name:
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results:
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- task:
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type: gesture-recognition
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type: IPN-Hand
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metrics:
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- type: accuracy
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value: 0.
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- type: f1
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value: 0.
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---
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#
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A real-time hand gesture classifier trained on
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This model is part of the **Maestro** pipeline that enables touchless
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control of presentation and meeting software through hand gestures captured from a
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## Model Description
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- **Architecture**: EnhancedTwoStreamLSTM (BiLSTM h=96×2, MHA 8 heads, proj=96, mean+max pool, MLP gate)
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- **Parameters**: 2,
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- **Input**: `(batch,
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—
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- **Output**: Softmax logits over
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- **Inference latency**: < 1 ms per call (CPU, single sample)
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- **Feature schema**: `feature-schema-
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## Architecture
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│ ctx_b = LN(ctx_b × gate_b + ctx_b)
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│
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└─ cat(ctx_a, ctx_b) → (384,)
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LN → Linear(384→192) → GELU → Dropout → Linear(192→
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```
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**Design rationale:**
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| Class | Description |
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|-------|-------------|
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| `point_one` | Single-finger pointing gesture (continuous laser-pointer control) |
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| `point_two` | Two-finger pointing gesture (continuous annotation-pen control) |
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| `swiping_down` | Vertical swipe downward (Jester class) |
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| `swiping_left` | Horizontal swipe from right to left (Jester class) |
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| `swiping_right` | Horizontal swipe from left to right (Jester class) |
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| `swiping_up` | Vertical swipe upward (Jester class) |
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| `zooming_in_full_hand` | Pinch-open / spread fingers away from each other (Jester class) |
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| `zooming_out_full_hand` | Pinch-close / bring fingers together (Jester class) |
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## Gesture Usage In Presentation System
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| Class | Mode | Command | Runtime handling |
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|-------|------|---------|------------------|
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| `swiping_left` | `discrete` | `previous_slide` | Discrete command via GestureActivationController → CommandDispatcher |
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| `swiping_right` | `discrete` | `next_slide` | Discrete command via GestureActivationController → CommandDispatcher |
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| `swiping_up` | `discrete` | `start_presentation` | Discrete command via GestureActivationController → CommandDispatcher |
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| `zooming_in_full_hand` | `discrete` | `zoom_in_view` | Discrete command via GestureActivationController → CommandDispatcher |
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| `zooming_out_full_hand` | `discrete` | `zoom_out_view` | Discrete command via GestureActivationController → CommandDispatcher |
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## Feature Schema (`feature-schema-
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| Block | Dims | Description |
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|-------|------|-------------|
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# Download the artifact (cached after first call)
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local_path = hf_hub_download(
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repo_id="ntsrigaud/maestro-lstm-hybrid",
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filename="
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)
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# Load the artifact (includes model, class labels, and feature schema)
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## Training Dataset
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- **Source**:
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- **Used classes**:
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- **Dataset split**: 70% train / 15% val / 15% test (stratified by class)
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- **Augmentation**: temporal scale ±20%, spatial jitter σ=0.005
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## Training Strategy
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Two-phase transfer learning pipeline:
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- **Phase 1 (pretraining):** backbone pretrained on external checkpoint `
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- **Phase 2 (fine-tuning):** head replaced and model adapted on Hybrid Jester+IPN
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- **Stage A (frozen backbone):** 10 epoch(s) head-only warmup.
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- **Stage B (full model):** up to
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- **Stage B retention defences:** replay_max_samples_per_class=500, distillation_weight=0.
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## Training Configuration
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| Early stopping patience | 12 |
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| Label smoothing | 0.05 |
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| Class weighting | disabled |
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| Max samples per class |
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| LR scheduler | ReduceLROnPlateau (factor=0.5, patience=8) |
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## Evaluation Results (Test Set)
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| Metric | Value |
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|--------|-------|
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| Accuracy | 96.
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| Macro F1 | 96.
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### Per-Class Recall
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| Class | Recall |
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|-------|--------|
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| `swiping_left` | 96.7% |
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| `swiping_right` | 95.5% |
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## Comparison with Previous Architecture
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| Feature projection | No | **Yes (→96)** |
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| Temporal pooling | Mean only | **Mean + Max** |
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| Cross-stream fusion | Concat only | **2-layer MLP gate** |
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| Parameters | ~182 K | ~2,
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## Limitations and Risks
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---
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*Generated by the Maestro training pipeline on 2026-05-
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- accuracy
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- f1
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model-index:
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- name: two_stream_attn_v1_finetune_20260513T160347Z
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results:
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- task:
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type: gesture-recognition
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type: IPN-Hand
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metrics:
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- type: accuracy
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value: 0.9618
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- type: f1
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value: 0.9632
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---
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# two_stream_attn_v1_finetune_20260513T160347Z
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A real-time hand gesture classifier trained on
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an LD-CONG Hybrid gesture dataset (LD-CONG unique gestures + Jester zooms + IPN pointing, W=16 frames).
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This model is part of the **Maestro** pipeline that enables touchless
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control of presentation and meeting software through hand gestures captured from a
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## Model Description
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- **Architecture**: EnhancedTwoStreamLSTM (BiLSTM h=96×2, MHA 8 heads, proj=96, mean+max pool, MLP gate)
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- **Parameters**: 2,100,206
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- **Input**: `(batch, 16, 147)`
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— 16-frame sliding window at 30 FPS ≈ 533 ms
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- **Output**: Softmax logits over 14 gesture classes
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- **Inference latency**: < 1 ms per call (CPU, single sample)
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- **Feature schema**: `feature-schema-v1`
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## Architecture
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│ ctx_b = LN(ctx_b × gate_b + ctx_b)
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│
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└─ cat(ctx_a, ctx_b) → (384,)
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LN → Linear(384→192) → GELU → Dropout → Linear(192→14)
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```
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**Design rationale:**
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| Class | Description |
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|-------|-------------|
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| `palm` | Open palm held flat toward camera (static hand shape) |
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| `fist` | Closed fist (all fingers curled, thumb tucked) |
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| `thumb_up` | Thumbs-up — thumb extended upward, other fingers closed |
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| `pinch` | Thumb and index finger brought together (pinch grip) |
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| `click` | Brief tap / click gesture — index finger snaps toward thumb |
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| `swiping_right` | Horizontal swipe from left to right |
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| `swiping_left` | Horizontal swipe from right to left |
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| `swiping_down` | Vertical swipe downward |
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| `swiping_up` | Vertical swipe upward |
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| `zooming_in_full_hand` | Pinch-open / spread fingers away from each other |
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| `zooming_out_full_hand` | Pinch-close / bring fingers together |
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| `point_one` | Single-finger pointing gesture (continuous laser-pointer control) |
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| `point_two` | Two-finger pointing gesture (continuous annotation-pen control) |
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| `unknown` | Background / transition / no gesture |
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## Gesture Usage In Presentation System
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| Class | Mode | Command | Runtime handling |
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|-------|------|---------|------------------|
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| `palm` | `discrete` | `erase_annotations` | Discrete command via GestureActivationController → CommandDispatcher |
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| `fist` | `discrete` | `no_action` | No-op background class |
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| `thumb_up` | `discrete` | `no_action` | No-op background class |
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| `pinch` | `discrete` | `no_action` | No-op background class |
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| `click` | `discrete` | `no_action` | No-op background class |
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| `swiping_right` | `discrete` | `next_slide` | Discrete command via GestureActivationController → CommandDispatcher |
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| `swiping_left` | `discrete` | `previous_slide` | Discrete command via GestureActivationController → CommandDispatcher |
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| `swiping_down` | `discrete` | `stop_presentation` | Discrete command via GestureActivationController → CommandDispatcher |
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| `swiping_up` | `discrete` | `start_presentation` | Discrete command via GestureActivationController → CommandDispatcher |
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| `zooming_in_full_hand` | `discrete` | `zoom_in_view` | Discrete command via GestureActivationController → CommandDispatcher |
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| `zooming_out_full_hand` | `discrete` | `zoom_out_view` | Discrete command via GestureActivationController → CommandDispatcher |
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| `point_one` | `continuous` | `—` | Continuous tracker: LaserPointerTracker (bypasses discrete dispatcher) |
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| `point_two` | `continuous` | `—` | Continuous tracker: AnnotationPenTracker (bypasses discrete dispatcher) |
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| `unknown` | `discrete` | `no_action` | No-op background class |
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## Feature Schema (`feature-schema-v1`)
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| Block | Dims | Description |
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|-------|------|-------------|
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# Download the artifact (cached after first call)
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local_path = hf_hub_download(
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repo_id="ntsrigaud/maestro-lstm-hybrid",
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filename="two_stream_attn_v1_finetune_20260513T160347Z_inference.pt",
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)
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# Load the artifact (includes model, class labels, and feature schema)
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## Training Dataset
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- **Source**: Three-source hybrid: **LD-CONG** provides palm/fist/thumb_up/pinch/click and directional swipes (right/left/upward/downward → renamed); **Jester** provides zooming_in/out_full_hand and additional swipe data (center-cropped W32→16); **IPN-Hand** provides point_one/point_two/unknown (center-cropped W32→16). Up to 3,000 windows per class, seed=42.
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- **Used classes**: 14 (13 active gestures + `unknown` background)
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- **Dataset split**: 70% train / 15% val / 15% test (stratified by class)
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- **Augmentation**: temporal scale ±20%, spatial jitter σ=0.005
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## Training Strategy
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Two-phase transfer learning pipeline:
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- **Phase 1 (pretraining):** backbone pretrained on external checkpoint `two_stream_attn_v1_20260513T155730Z.pt` to learn generic gesture dynamics.
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- **Phase 2 (fine-tuning):** head replaced and model adapted on LD-CONG Hybrid 14-class vocabulary (LD-CONG unique + Jester zooms + pooled swipes + IPN pointing, W=16).
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- **Stage A (frozen backbone):** 10 epoch(s) head-only warmup.
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- **Stage B (full model):** up to 28 epoch(s) joint fine-tuning with scheduler/early stopping.
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- **Stage B retention defences:** replay_max_samples_per_class=500, distillation_weight=0.0, replay_ce_weight=0.0, backbone_lr_multiplier=0.1, ewc_weight=2000.0, gpm_components=0, forgetting_penalty_weight=0.5.
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## Training Configuration
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| Early stopping patience | 12 |
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| Label smoothing | 0.05 |
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| Class weighting | disabled |
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| Max samples per class | 3000 |
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| LR scheduler | ReduceLROnPlateau (factor=0.5, patience=8) |
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## Evaluation Results (Test Set)
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| Metric | Value |
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|--------|-------|
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| Accuracy | 96.2% |
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| Macro F1 | 96.3% |
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### Per-Class Recall
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| Class | Recall |
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|-------|--------|
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| `palm` | 99.6% |
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| `fist` | 99.1% |
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| `thumb_up` | 99.0% |
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| `pinch` | 99.5% |
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| `click` | 97.3% |
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| `swiping_right` | 95.5% |
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| `swiping_left` | 97.5% |
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| `swiping_down` | 98.4% |
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| `swiping_up` | 96.8% |
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| `zooming_in_full_hand` | 95.9% |
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| `zooming_out_full_hand` | 93.9% |
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| `point_one` | 97.1% |
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| `point_two` | 93.5% |
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| `unknown` | 87.7% |
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## Comparison with Previous Architecture
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| Feature projection | No | **Yes (→96)** |
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| Temporal pooling | Mean only | **Mean + Max** |
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| Cross-stream fusion | Concat only | **2-layer MLP gate** |
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| Parameters | ~182 K | ~2,100,206 |
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## Limitations and Risks
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---
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*Generated by the Maestro training pipeline on 2026-05-14.*
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config.json
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{
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"model_version": "
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"model_config": {
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"model_name": "two_stream_attn_v1",
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"input_size": 147,
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"hidden_size": 96,
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"num_layers": 4,
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"dropout": 0.35,
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"num_classes":
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},
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"feature_schema": {
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"feature_schema_version": "feature-schema-
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"feature_dim": 147,
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"orientation_normalization": false,
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"window_length":
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"window_step":
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},
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"training_config": {
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"epochs": 60,
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"seed": 42,
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"label_smoothing": 0.05,
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"class_weighting": false,
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"max_samples_per_class":
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"scheduler": {
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"factor": 0.5,
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"patience": 8,
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}
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},
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"evaluation": {
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"test_macro_f1": 0.
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"test_loss": 0.
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"calibration_ece": 0.
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"per_class_recall": {
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"per_class_precision": {
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"class_labels": [
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"swiping_left",
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"swiping_right",
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"swiping_up",
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"zooming_in_full_hand",
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"zooming_out_full_hand"
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|
|
|
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|
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|
| 75 |
],
|
| 76 |
-
"created_at": "2026-05-
|
| 77 |
"gesture_command_mapping": {
|
| 78 |
"commands": {
|
| 79 |
"swiping_up": "start_presentation",
|
|
@@ -82,7 +94,11 @@
|
|
| 82 |
"swiping_left": "previous_slide",
|
| 83 |
"zooming_in_full_hand": "zoom_in_view",
|
| 84 |
"zooming_out_full_hand": "zoom_out_view",
|
| 85 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
| 86 |
"unknown": "no_action"
|
| 87 |
},
|
| 88 |
"modes": {
|
|
@@ -92,7 +108,11 @@
|
|
| 92 |
"swiping_left": "discrete",
|
| 93 |
"zooming_in_full_hand": "discrete",
|
| 94 |
"zooming_out_full_hand": "discrete",
|
| 95 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
| 96 |
"point_one": "continuous",
|
| 97 |
"point_two": "continuous"
|
| 98 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"model_version": "two_stream_attn_v1_finetune_20260513T160347Z",
|
| 3 |
"model_config": {
|
| 4 |
"model_name": "two_stream_attn_v1",
|
| 5 |
"input_size": 147,
|
| 6 |
"hidden_size": 96,
|
| 7 |
"num_layers": 4,
|
| 8 |
"dropout": 0.35,
|
| 9 |
+
"num_classes": 14
|
| 10 |
},
|
| 11 |
"feature_schema": {
|
| 12 |
+
"feature_schema_version": "feature-schema-v1",
|
| 13 |
"feature_dim": 147,
|
| 14 |
"orientation_normalization": false,
|
| 15 |
+
"window_length": 16,
|
| 16 |
+
"window_step": 3
|
| 17 |
},
|
| 18 |
"training_config": {
|
| 19 |
"epochs": 60,
|
|
|
|
| 24 |
"seed": 42,
|
| 25 |
"label_smoothing": 0.05,
|
| 26 |
"class_weighting": false,
|
| 27 |
+
"max_samples_per_class": 3000,
|
| 28 |
"scheduler": {
|
| 29 |
"factor": 0.5,
|
| 30 |
"patience": 8,
|
|
|
|
| 32 |
}
|
| 33 |
},
|
| 34 |
"evaluation": {
|
| 35 |
+
"test_accuracy": 0.9617670364500792,
|
| 36 |
+
"test_macro_f1": 0.9632447186344674,
|
| 37 |
+
"test_loss": 0.43081179908262757,
|
| 38 |
+
"calibration_ece": 0.032766067943935724,
|
| 39 |
"per_class_recall": {
|
| 40 |
+
"palm": 0.996415770609319,
|
| 41 |
+
"fist": 0.9912280701754386,
|
| 42 |
+
"thumb_up": 0.98989898989899,
|
| 43 |
+
"pinch": 0.9951923076923077,
|
| 44 |
+
"click": 0.972568578553616,
|
| 45 |
+
"swiping_right": 0.9546925566343042,
|
| 46 |
+
"swiping_left": 0.9748603351955307,
|
| 47 |
+
"swiping_down": 0.9840425531914894,
|
| 48 |
+
"swiping_up": 0.9682539682539683,
|
| 49 |
+
"zooming_in_full_hand": 0.958997722095672,
|
| 50 |
+
"zooming_out_full_hand": 0.9389978213507625,
|
| 51 |
+
"point_one": 0.9711286089238845,
|
| 52 |
+
"point_two": 0.9347826086956522,
|
| 53 |
+
"unknown": 0.8765432098765432
|
| 54 |
},
|
| 55 |
"per_class_precision": {
|
| 56 |
+
"palm": 0.996415770609319,
|
| 57 |
+
"fist": 0.9576271186440678,
|
| 58 |
+
"thumb_up": 1.0,
|
| 59 |
+
"pinch": 0.9495412844036697,
|
| 60 |
+
"click": 0.9948979591836735,
|
| 61 |
+
"swiping_right": 0.9546925566343042,
|
| 62 |
+
"swiping_left": 0.9721448467966574,
|
| 63 |
+
"swiping_down": 0.961038961038961,
|
| 64 |
+
"swiping_up": 0.977116704805492,
|
| 65 |
+
"zooming_in_full_hand": 0.9376391982182628,
|
| 66 |
+
"zooming_out_full_hand": 0.9620535714285714,
|
| 67 |
+
"point_one": 0.891566265060241,
|
| 68 |
+
"point_two": 0.9690140845070423,
|
| 69 |
+
"unknown": 0.9491978609625669
|
| 70 |
}
|
| 71 |
},
|
| 72 |
"class_labels": [
|
| 73 |
+
"palm",
|
| 74 |
+
"fist",
|
| 75 |
+
"thumb_up",
|
| 76 |
+
"pinch",
|
| 77 |
+
"click",
|
|
|
|
| 78 |
"swiping_right",
|
| 79 |
+
"swiping_left",
|
| 80 |
+
"swiping_down",
|
| 81 |
"swiping_up",
|
| 82 |
"zooming_in_full_hand",
|
| 83 |
+
"zooming_out_full_hand",
|
| 84 |
+
"point_one",
|
| 85 |
+
"point_two",
|
| 86 |
+
"unknown"
|
| 87 |
],
|
| 88 |
+
"created_at": "2026-05-14T00:26:14.536961+00:00",
|
| 89 |
"gesture_command_mapping": {
|
| 90 |
"commands": {
|
| 91 |
"swiping_up": "start_presentation",
|
|
|
|
| 94 |
"swiping_left": "previous_slide",
|
| 95 |
"zooming_in_full_hand": "zoom_in_view",
|
| 96 |
"zooming_out_full_hand": "zoom_out_view",
|
| 97 |
+
"palm": "erase_annotations",
|
| 98 |
+
"fist": "no_action",
|
| 99 |
+
"thumb_up": "no_action",
|
| 100 |
+
"pinch": "no_action",
|
| 101 |
+
"click": "no_action",
|
| 102 |
"unknown": "no_action"
|
| 103 |
},
|
| 104 |
"modes": {
|
|
|
|
| 108 |
"swiping_left": "discrete",
|
| 109 |
"zooming_in_full_hand": "discrete",
|
| 110 |
"zooming_out_full_hand": "discrete",
|
| 111 |
+
"palm": "discrete",
|
| 112 |
+
"fist": "discrete",
|
| 113 |
+
"thumb_up": "discrete",
|
| 114 |
+
"pinch": "discrete",
|
| 115 |
+
"click": "discrete",
|
| 116 |
"point_one": "continuous",
|
| 117 |
"point_two": "continuous"
|
| 118 |
}
|