vanwatch 🌈 runs YOLO 🚀, OpenAI Vision, and other AI algo on traffic cameras to extract timeseries of urban activity at scale.
pip install vancouver-watchingToronto ![]() |
Vancouver ![]() |
time-series ![]() |
graph LR
discover["vanwatch<br>discover<br>target=<target><br><object-name>"]
object1["📁 object"]:::folder
ingest["vanwatch<br>ingest<br>target=<target><br><object-name>"]
detect["vanwatch<br>detect<br>gif,publish<br><object-name>"]
ingest_detect["vanwatch<br>ingest<br>target=<target><br><object-name><br>detect,gif,publish"]
object2["📁 object"]:::folder
discover --> object1
object1 -- "#tag" --> ingest
ingest --> object2
detect --> object2
object2 --> detect
object1 -- "#tag" --> ingest_detect
ingest_detect --> ingest
ingest_detect --> detect
classDef folder fill:#999,stroke:#333,stroke-width:2px;
🌈
vancouver-watching 3.x.xand below are compatible withabcli. Later versions,4.x.x, work withbluer_ai, for the Global South.
built by 🌀 bluer README, based on 🌈 vancouver_watching-4.36.1.


