efficienttam-s-512_int8_embedl_tensorrt
- yunyangx/efficient-track-anything
- FP16
- AGX Thor
- Labels
- Video
- Segmentation
- Build
- Baseline
- Precision
- FP16
- Runtime
- TensorRT 10.16.2.10
- Input size
- 512×512
- Prompts
- Points or a box per object, up to 3 objects
Track anything in a video: click a point or draw a box on the first frame, and EfficientTAM follows the object through the clip. A photo works too, as promptable segmentation.
Upstream checkpoint efficienttam_s_512x512.pt at 9bdd8ab585b19ef95f9c9ed847ac9478301890b4 and code at abcd061ebd3cc6e7527d152d75b890126aaa53f6, Apache-2.0; full licence in LICENSE-EFFICIENTTAM. Modified by Embedl: static five-graph export with a fixed memory bank, TensorRT compilation, a C++ tracking loop and serving. DAVIS 2017 data is used for evaluation only and is not part of the model.