| #!/usr/bin/env python3 | |
| # SPDX-License-Identifier: Apache-2.0 | |
| """Build (and optionally send) a ``POST /predict`` request for sceneseg-p150. Standard library only. | |
| # one camera image (PNG / JPEG / .npy uint8, any size; the camera name is free) | |
| python3 code/tt_sceneseg/server/client.py --image CAM_FRONT=code/tt_sceneseg/samples/highway_normal_1.png \ | |
| --out req.json | |
| curl -s localhost:20000/predict -H 'Content-Type: application/json' -d @req.json | |
| # send it directly, with request params, and print the response | |
| python3 code/tt_sceneseg/server/client.py --image CAM_FRONT=code/tt_sceneseg/samples/highway_normal_1.png \ | |
| --param score_threshold=0.5 --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_sceneseg.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__") | |