Track Anything: Segment Anything Meets Videos
Paper • 2304.11968 • Published
YAML Metadata Warning:The pipeline tag "video-object-tracking" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
Track-Anything: Optimized for Qualcomm Devices
Track-Anything is a video based machine learning model to track an object in a video.
This is based on the implementation of Track-Anything found here. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here.
Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up to run these models on a hosted Qualcomm® device.
Getting Started
There are two ways to deploy this model on your device:
Option 1: Download Pre-Exported Models
Below are pre-exported model assets ready for deployment.
| Runtime | Precision | Chipset | SDK Versions | Download |
|---|---|---|---|---|
| ONNX | float | Universal | QAIRT 2.42, ONNX Runtime 1.24.3 | Download |
| TFLITE | float | Universal | QAIRT 2.43, TFLite 2.19.1 | Download |
For more device-specific assets and performance metrics, visit Track-Anything on Qualcomm® AI Hub.
Option 2: Export with Custom Configurations
Use the Qualcomm® AI Hub Models Python library to compile and export the model with your own:
- Custom weights (e.g., fine-tuned checkpoints)
- Custom input shapes
- Target device and runtime configurations
This option is ideal if you need to customize the model beyond the default configuration provided here.
See our repository for Track-Anything on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.video_object_tracking
Model Stats:
- Model checkpoint: xmem
- Input resolution: 320x568
- Number of parameters (encode_key_with_shrinkage): 9.72M
- Model size (encode_key_with_shrinkage) (float): 37.1 MB
- Number of parameters (encode_value): 23.3M
- Model size (encode_value) (float): 88.8 MB
- Number of parameters (encode_key_without_shrinkage): 9.71M
- Model size (encode_key_without_shrinkage) (float): 37.1 MB
- Number of parameters (segment): 30.1M
- Model size (segment) (float): 115 MB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| encode_key_with_shrinkage | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.38 ms | 0 - 176 MB | NPU |
| encode_key_with_shrinkage | ONNX | float | Snapdragon® X2 Elite | 2.821 ms | 18 - 18 MB | NPU |
| encode_key_with_shrinkage | ONNX | float | Snapdragon® X Elite | 5.593 ms | 19 - 19 MB | NPU |
| encode_key_with_shrinkage | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 3.673 ms | 0 - 202 MB | NPU |
| encode_key_with_shrinkage | ONNX | float | Qualcomm® QCS8550 (Proxy) | 5.163 ms | 0 - 22 MB | NPU |
| encode_key_with_shrinkage | ONNX | float | Qualcomm® QCS9075 | 9.48 ms | 10 - 13 MB | NPU |
| encode_key_with_shrinkage | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.95 ms | 0 - 165 MB | NPU |
| encode_key_with_shrinkage | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.441 ms | 0 - 190 MB | NPU |
| encode_key_with_shrinkage | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 4.078 ms | 3 - 216 MB | NPU |
| encode_key_with_shrinkage | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 31.185 ms | 3 - 181 MB | NPU |
| encode_key_with_shrinkage | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 5.934 ms | 0 - 152 MB | NPU |
| encode_key_with_shrinkage | TFLITE | float | Qualcomm® SA8775P | 9.551 ms | 3 - 182 MB | NPU |
| encode_key_with_shrinkage | TFLITE | float | Qualcomm® QCS9075 | 11.381 ms | 2 - 29 MB | NPU |
| encode_key_with_shrinkage | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 11.725 ms | 3 - 200 MB | NPU |
| encode_key_with_shrinkage | TFLITE | float | Qualcomm® SA7255P | 31.185 ms | 3 - 181 MB | NPU |
| encode_key_with_shrinkage | TFLITE | float | Qualcomm® SA8295P | 10.381 ms | 3 - 165 MB | NPU |
| encode_key_with_shrinkage | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 3.281 ms | 0 - 180 MB | NPU |
| encode_key_without_shrinkage | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.494 ms | 0 - 216 MB | NPU |
| encode_key_without_shrinkage | ONNX | float | Snapdragon® X2 Elite | 3.944 ms | 64 - 64 MB | NPU |
| encode_key_without_shrinkage | ONNX | float | Snapdragon® X Elite | 6.919 ms | 66 - 66 MB | NPU |
| encode_key_without_shrinkage | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 5.031 ms | 61 - 272 MB | NPU |
| encode_key_without_shrinkage | ONNX | float | Qualcomm® QCS8550 (Proxy) | 6.785 ms | 25 - 60 MB | NPU |
| encode_key_without_shrinkage | ONNX | float | Qualcomm® QCS9075 | 11.513 ms | 62 - 65 MB | NPU |
| encode_key_without_shrinkage | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 4.365 ms | 62 - 254 MB | NPU |
| encode_key_without_shrinkage | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.567 ms | 0 - 227 MB | NPU |
| encode_key_without_shrinkage | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 5.315 ms | 18 - 242 MB | NPU |
| encode_key_without_shrinkage | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 33.109 ms | 20 - 205 MB | NPU |
| encode_key_without_shrinkage | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 7.54 ms | 8 - 16 MB | NPU |
| encode_key_without_shrinkage | TFLITE | float | Qualcomm® SA8775P | 11.419 ms | 0 - 186 MB | NPU |
| encode_key_without_shrinkage | TFLITE | float | Qualcomm® QCS9075 | 12.925 ms | 20 - 63 MB | NPU |
| encode_key_without_shrinkage | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 14.096 ms | 20 - 223 MB | NPU |
| encode_key_without_shrinkage | TFLITE | float | Qualcomm® SA7255P | 33.109 ms | 20 - 205 MB | NPU |
| encode_key_without_shrinkage | TFLITE | float | Qualcomm® SA8295P | 12.764 ms | 20 - 186 MB | NPU |
| encode_key_without_shrinkage | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 4.39 ms | 18 - 205 MB | NPU |
| encode_value | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 6.611 ms | 13 - 179 MB | NPU |
| encode_value | ONNX | float | Snapdragon® X2 Elite | 6.029 ms | 39 - 39 MB | NPU |
| encode_value | ONNX | float | Snapdragon® X Elite | 12.469 ms | 38 - 38 MB | NPU |
| encode_value | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 9.887 ms | 14 - 222 MB | NPU |
| encode_value | ONNX | float | Qualcomm® QCS8550 (Proxy) | 15.782 ms | 0 - 45 MB | NPU |
| encode_value | ONNX | float | Qualcomm® QCS9075 | 18.37 ms | 6 - 14 MB | NPU |
| encode_value | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 8.416 ms | 7 - 176 MB | NPU |
| encode_value | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 6.288 ms | 0 - 206 MB | NPU |
| encode_value | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 8.258 ms | 3 - 285 MB | NPU |
| encode_value | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 51.415 ms | 3 - 218 MB | NPU |
| encode_value | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 11.784 ms | 3 - 5 MB | NPU |
| encode_value | TFLITE | float | Qualcomm® SA8775P | 16.955 ms | 3 - 223 MB | NPU |
| encode_value | TFLITE | float | Qualcomm® QCS9075 | 18.88 ms | 0 - 54 MB | NPU |
| encode_value | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 22.685 ms | 3 - 282 MB | NPU |
| encode_value | TFLITE | float | Qualcomm® SA7255P | 51.415 ms | 3 - 218 MB | NPU |
| encode_value | TFLITE | float | Qualcomm® SA8295P | 19.58 ms | 0 - 219 MB | NPU |
| encode_value | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 7.166 ms | 3 - 203 MB | NPU |
| segment | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 10.467 ms | 25 - 244 MB | NPU |
| segment | ONNX | float | Snapdragon® X2 Elite | 11.785 ms | 38 - 38 MB | NPU |
| segment | ONNX | float | Snapdragon® X Elite | 23.511 ms | 37 - 37 MB | NPU |
| segment | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 17.397 ms | 25 - 268 MB | NPU |
| segment | ONNX | float | Qualcomm® QCS8550 (Proxy) | 23.232 ms | 0 - 45 MB | NPU |
| segment | ONNX | float | Qualcomm® QCS9075 | 39.003 ms | 21 - 45 MB | NPU |
| segment | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 13.581 ms | 5 - 216 MB | NPU |
| segment | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 10.8 ms | 2 - 226 MB | NPU |
| segment | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 17.419 ms | 0 - 285 MB | NPU |
| segment | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 104.113 ms | 0 - 196 MB | NPU |
| segment | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 23.293 ms | 2 - 4 MB | NPU |
| segment | TFLITE | float | Qualcomm® SA8775P | 33.621 ms | 2 - 195 MB | NPU |
| segment | TFLITE | float | Qualcomm® QCS9075 | 38.161 ms | 0 - 83 MB | NPU |
| segment | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 53.173 ms | 2 - 280 MB | NPU |
| segment | TFLITE | float | Qualcomm® SA7255P | 104.113 ms | 0 - 196 MB | NPU |
| segment | TFLITE | float | Qualcomm® SA8295P | 38.918 ms | 2 - 204 MB | NPU |
| segment | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 13.174 ms | 0 - 208 MB | NPU |
License
- The license for the original implementation of Track-Anything can be found here.
References
Community
- Join our AI Hub Slack community to collaborate, post questions and learn more about on-device AI.
- For questions or feedback please reach out to us.
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