Release deployment artifacts from CompressionKit
Browse files- README.md +98 -0
- codebook.h +0 -0
- codebook.npz +3 -0
- config.json +56 -0
- decoder.h +0 -0
- decoder_int8.tflite +3 -0
- encoder.h +0 -0
- encoder_int8.tflite +3 -0
- quality_scorecard.json +598 -0
- sample_stimulus.npz +3 -0
README.md
ADDED
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@@ -0,0 +1,98 @@
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| 1 |
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---
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| 2 |
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license: apache-2.0
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library_name: compressionkit
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pipeline_tag: other
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tags:
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- compressionkit
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| 7 |
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- signal-compression
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| 8 |
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- ppg
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| 9 |
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- rvq
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| 10 |
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- tflite
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| 11 |
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- edge-ai
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| 12 |
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---
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| 13 |
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| 14 |
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# compressionkit-ppg-16x
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A **PPG** signal compression codec using Residual Vector Quantization (RVQ), optimized for edge and wearable devices.
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## Model Details
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| 20 |
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- **Modality:** PPG
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| 21 |
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- **Sample Rate:** 64 Hz
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| 22 |
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- **Compression Ratio:** 16x
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| 23 |
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- **Quantization:** INT8
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| 24 |
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- **RVQ Levels:** 4
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| 25 |
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- **Codebook Size:** 256 entries × 16D
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| 26 |
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- **Encoder Input:** `[None, 1, 320, 1]`
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| 27 |
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- **Encoder Output:** `[None, 1, 20, 16]`
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## Quality Metrics
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| 30 |
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### Time Domain
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| 32 |
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| 33 |
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| Metric | Mean | Median | P90 |
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| 34 |
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|--------|------|--------|-----|
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| 35 |
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| PRD (%) | 12.4496 | 5.4119 | 25.0669 |
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| 36 |
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| RMSE | 0.0629 | 0.0476 | 0.0905 |
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| 37 |
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| Cosine Similarity | 0.9663 | 0.9986 | 0.9993 |
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| 38 |
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| 39 |
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### Spectral
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| 40 |
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- **Band Total Relative Error (median):** 0.0486
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| 42 |
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### Bitrate
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| 44 |
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- **Codec CR (uniform):** 16.0x
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- **Codec CR (learned prior):** 16.30x
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## Usage
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| 49 |
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### Python (compressionkit runtime)
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```python
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| 53 |
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from compressionkit.runtime import RVQCodec
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| 54 |
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codec = RVQCodec.from_pretrained("Ambiq/compressionkit-ppg-16x")
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| 56 |
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| 57 |
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# Encode: float32 signal → RVQ indices
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| 58 |
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indices = codec.encode(signal)
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| 59 |
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| 60 |
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# Decode: RVQ indices → reconstructed signal
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| 61 |
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recon = codec.decode(indices)
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| 62 |
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```
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| 63 |
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### Local deployment directory
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| 66 |
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```python
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| 67 |
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codec = RVQCodec("path/to/deploy/")
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| 68 |
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```
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| 70 |
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## Files
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| File | Description |
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| 73 |
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|------|-------------|
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| 74 |
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| `encoder_int8.tflite` | INT8 quantized encoder (on-device) |
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| 75 |
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| `encoder.h` | C header for encoder |
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| 76 |
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| `decoder_float32.tflite` | Float32 decoder (server-side evaluation) |
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| 77 |
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| `decoder_int8.tflite` | INT8 decoder (optional, on-device) |
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| 78 |
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| `codebook.npz` | RVQ codebook tables |
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| 79 |
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| `codebook.h` | C header for codebook |
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| 80 |
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| `config.json` | Deployment manifest |
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| 81 |
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| `sample_stimulus.npz` | Synthetic test data |
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| 82 |
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| `quality_scorecard.json` | Full evaluation metrics |
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| 83 |
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| 84 |
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## Dataset & License
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| 85 |
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| 86 |
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Training data: MESA (NSRR restricted). Sample data uses synthetic physiokit waveforms only — no patient data is redistributed.
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| 87 |
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| 88 |
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Model weights are released under the **APACHE-2.0** license.
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| 89 |
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| 90 |
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## Citation
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| 91 |
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|
| 92 |
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```bibtex
|
| 93 |
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@software{compressionkit,
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| 94 |
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author = {Ambiq AI},
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| 95 |
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title = {compressionKIT: Signal Compression for Edge AI},
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| 96 |
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url = {https://github.com/AmbiqAI/compressionkit}
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| 97 |
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}
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| 98 |
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```
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codebook.h
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codebook.npz
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:e5335e588041db376c454e5d5b57685a19d8fdbe7daa5cb2e5756a059aea08c5
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size 66542
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config.json
ADDED
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{
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"model_name": "ppg_rvq_64hz_16x_golden",
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"model_version": "1.0",
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| 4 |
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"quantization": "INT8",
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| 5 |
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"io_type": "int8",
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| 6 |
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"encoder": {
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| 7 |
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"tflite": "encoder.tflite",
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"header": "encoder.h",
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"input_shape": [
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null,
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1,
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320,
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1
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],
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"output_shape": [
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null,
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1,
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20,
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| 19 |
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16
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]
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},
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| 22 |
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"decoder": {
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| 23 |
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"keras": "decoder.keras",
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| 24 |
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"float32_tflite": null,
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| 25 |
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"int8_tflite": null,
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| 26 |
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"int8_header": null,
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| 27 |
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"input_shape": [
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| 28 |
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null,
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| 29 |
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1,
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| 30 |
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20,
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| 31 |
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16
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],
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"output_shape": [
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| 34 |
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null,
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| 35 |
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1,
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| 36 |
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320,
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| 37 |
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1
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| 38 |
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]
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| 39 |
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},
|
| 40 |
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"codebook": {
|
| 41 |
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"npz": "codebook.npz",
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| 42 |
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"header": "codebook.h",
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| 43 |
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"num_levels": 4,
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| 44 |
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"num_embeddings": 256,
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| 45 |
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"embedding_dim": 16
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| 46 |
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},
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| 47 |
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"sample_data": {
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| 48 |
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"npz": "sample_data.npz",
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| 49 |
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"num_samples": 50,
|
| 50 |
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"arrays": [
|
| 51 |
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"inputs",
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| 52 |
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"targets",
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| 53 |
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"reconstructions"
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| 54 |
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]
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| 55 |
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}
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| 56 |
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}
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decoder.h
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decoder_int8.tflite
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version https://git-lfs.github.com/spec/v1
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oid sha256:508982317a0404197c20032ce71dfbab5cc5678c872251891a186b27c36e3c42
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size 183608
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encoder.h
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encoder_int8.tflite
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version https://git-lfs.github.com/spec/v1
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oid sha256:ad38dc25f34f33002c73d1c4f0eee91e3d551069ee8b96ac85fd4e5f24e33ce4
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size 55792
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quality_scorecard.json
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| 1 |
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|
sample_stimulus.npz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2ffaf7951838023300453c564a525bd2ffc78f13905389c36398e9f69dc44950
|
| 3 |
+
size 192774
|