First-party Python SDK for calling deployed TensorPlate detection and vision serving models.
Project description
sdk/python/
tensorplate-python — the first-party Python SDK for calling deployed
TensorPlate detection and vision serving models over the v0.1 /infer
HTTP envelope.
The import package is tensorplate:
import tensorplate
Install
pip install tensorplate-python # core client
pip install "tensorplate-python[vision]" # + numpy & Pillow for VisionClient.detect
The wheel + sdist are also attached to each signed GitHub Release for
checksum-verified or air-gapped installs. See the
SDK quickstart for that flow and the
[numpy] / [vision] extras.
Ownership
- Layer: client / user space (no runtime or serving-worker code)
- Language: Python (3.10+)
- Distribution:
tensorplate-python(PEP 621pyproject.toml) - Import package:
tensorplate
Documentation
- Quickstart and API reference —
ServingClient,VisionClient,Detection, tensors, and errors. - Detection workflow — preprocessing, the
yolo_v8_single_outputcontract, and postprocessing. - Endpoint resolution — CLI-parity precedence and URL canonicalization.
- Examples — single-image and user-space camera samples.
Scope
The SDK is a client-side library: it calls already-deployed models and does not change runtime serving. In-runtime camera/video ingest, a DeepStream sink, and a streaming session API are out of scope and are not provided here.
License
Apache-2.0. See LICENSE.
Project details
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