EdgeTAM
Real‑time on‑device track‑anything video segmentation and tracking.
EdgeTAM is a lightweight and efficient version of SAM 2, optimized for on‑device tracking and segmenting any object in videos and low memory usage by using a novel 2D Spatial Perceiver and RepViT backbone.
Technical Details
Model checkpoint:edgetam.pt
Input resolution (Encoder):1024x1024
Number of parameters (EdgeTAMEncoder):8.3M
Model size (EdgeTAMEncoder) (float):33 MB
Number of parameters (EdgeTAMDecoder):6.22M
Model size (EdgeTAMDecoder) (float):23.7 MB
Applicable Scenarios
- Video Editing
- Camera
- Robotic Navigation
- Interactive Video Content
License
Model:APACHE-2.0
Tags
- foundation
Supported IoT Devices
- Dragonwing IQ-9075 EVK
- Dragonwing Q-6690 MTP
- Dragonwing RB3 Gen 2 Vision Kit
- QCS8275 (Proxy)
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCM6690
- Qualcomm® QCS6490
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075
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