Pictograph SDK — Productivity skill for Claude Code
Python SDK and CLI for Pictograph: real-time vision tools for agents and developers.
How to install Pictograph SDK
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open pictograph-io/pictograph-sdk and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Pictograph SDK does
Python SDK and CLI for Pictograph: real-time vision tools for agents and developers. SAM3 auto-annotation, RF-DETR and YOLOX training, TensorRT GPU endpoints, live WebRTC/RTSP video streams, tracking and counting workflows.
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README
Pictograph
Real-time vision tools for agents and developers.
Label images with SAM3, train small task-specific models, and run them in real time:
GPU endpoints, live video streams, and tracking workflows.
[](https://pypi.org/project/pictograph/) [](https://pypi.org/project/pictograph/) [](LICENSE) [](https://pictograph.io/docs)
Docs · Quick start · API reference · App
Four ways in. Same API underneath, so you can move between them.
| Python | pip install pictograph, this repo |
| CLI | pip install "pictograph[cli]" · reference |
| REST | Any language, X-API-Key header · reference |
| Claude Code | /plugin install pictograph --marketplace pictograph-io/pictograph-sdk · guide |
Quick start
pip install pictograph
Upload a directory, draft labels from a text prompt, review them, then export and train.
from pictograph import AnnotateReport, Client, TrainingRun, UploadReport
client = Client() # reads PICTOGRAPH_API_KEY
uploaded: UploadReport = client.images.upload_from_directory(
dataset_name="road-signs",
directory="./road_signs",
)
print(f"{uploaded.images_uploaded} images uploaded")
labelled: AnnotateReport =
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