---
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`.