| |
| |
| """Build (and optionally send) a ``POST /predict`` request for transfusion-p150. Standard library only. |
| |
| # point cloud (.bin needs --fields; .npy / .npz / .pcd carry their own layout) |
| python3 code/tt_transfusion/server/client.py --points code/tt_transfusion/samples/test_pcd.npz --out req.json |
| curl -s localhost:20000/predict -H 'Content-Type: application/json' -d @req.json |
| |
| # send it directly and print the response |
| python3 code/tt_transfusion/server/client.py --points code/tt_transfusion/samples/test_pcd.npz \ |
| --url http://127.0.0.1:20000 |
| |
| # cameras (+ a calibration file or a preset listed by /info), planner inputs |
| python3 code/tt_transfusion/server/client.py --image CAM_FRONT=f.jpg --calib-preset <rig> \ |
| --url http://127.0.0.1:20000 |
| python3 code/tt_transfusion/server/client.py --inputs scene.npz --url http://127.0.0.1:20000 |
| |
| The implementation is the vendored ``ttaw/server/client.py`` (C08); this file runs it from the model repository |
| with any Python 3.9+, without numpy and without installing the package. In Python, use |
| ``tt_transfusion.ttaw.server.client`` (``build_request``, ``post``, ``wait_ready``, ...). |
| """ |
| import runpy |
| from pathlib import Path |
|
|
| if __name__ == "__main__": |
| runpy.run_path(str(Path(__file__).resolve().parents[1] / "ttaw" / "server" / "client.py"), run_name="__main__") |
|
|
