| --- |
| library_name: none |
| license: other |
| tags: |
| - jetson-nano |
| - object-tracking |
| - tensorrt |
| - opencv |
| - yolo |
| - eco-tracker |
| --- |
| |
| # JetsonNanoTracking |
|
|
| Runtime model artifacts used by the Jetson Nano person-tracking tests in the `MyECOTracker` / `JetsonNanoTracking` project. |
|
|
| ## Included files |
|
|
| - `runtime_test_models/tracker/resnet18_vggmconv1_otb_dual_large_fp16.engine` |
| - TensorRT FP16 engine used by the real-video tracking profile. |
| - Runtime parameter chain: |
| `verified_otb936_run_update -> jetson_fast_trt_rgb_run_update -> jetson_fast_trt_dual_acc` |
| - `runtime_test_models/detector/yolo_person_only.torchscript` |
| - TorchScript person detector used by the `dualacc_yolo_ts` video runs. |
| |
| ## What this repo is for |
|
|
| This repo stores the exact runtime artifacts used on Jetson Nano for three real person-tracking test videos: |
|
|
| - `jetson/video_inputs/test1/1.mp4` |
| - `jetson/video_inputs/test2/2.mp4` |
| - `jetson/video_inputs/test3/3.mp4` |
|
|
| The tracker used in those runs is logged as `verified_otb936_run_update`, which resolves to the `dual_acc` runtime configuration backed by: |
|
|
| - `resnet18_vggmconv1_otb_dual_large_fp16.engine` |
|
|
| For runs with detector-assisted correction (`dualacc_yolo_ts`), the detector artifact is: |
|
|
| - `yolo_person_only.torchscript` |
|
|
| ## Notes |
|
|
| - This is an artifact repository, not a standalone Hugging Face Transformers model. |
| - The TensorRT engine is hardware/runtime specific and intended for Jetson deployment. |
| - To reproduce the original runs, use the matching project code and parameter aliases from `JetsonNanoTracking`. |
|
|
