Inference v0.33.0
🚀 Added
Llama Vision 3.2 🤝 other VLMs supported in Workflows
We welcome new block bringing Llama Vision 3.2 to workflows ecosystem!
Llama 3.2 is a new generation of vision and lightweight models that fit on edge devices, tailored for use cases that require more private and personalized AI experiences.
Related changes:
Fix/onboarding llama 3.2 by @PawelPeczek-Roboflow in #927
Tests for LLama Vision 3.2 by @PawelPeczek-Roboflow in #928
MQTT Writer Enterprise Workflow Block (added in #930)
This block enables our enterprise users to publish messages to an MQTT broker through Workflows.
MQTT (Message Queuing Telemetry Transport) is a lightweight messaging protocol designed for low-bandwidth, high-latency, or unreliable networks. It's widely used in applications where devices need to communicate with minimal overhead, such as the Internet of Things (IoT).
With this change workflows can communicate with the world through MQTT!
Change introduced by @chandlersupple
Plc EthernetIP Enterprise Workflow Block (added in #905)
This block enables our enterprise users to interface with PLC.
A Programmable Logic Controller (PLC) is an industrial computer specifically designed to automate machinery and processes in manufacturing and other industries. It monitors inputs (e.g., sensors), processes data based on a programmed logic, and controls outputs (e.g., actuators) to perform tasks.
This block is utilizing pylogix
library over Ethernet/IP. Block supports three modes of operation:
read: Reads specified tags from the PLC.
write: Writes specified values to the PLC tags.
read_and_write: Performs both read and write operations in a single execution.
This change brings vision capabilities into real-world industrial plants!
Change introduced by @reedajohns
💪 Improved
Documentation improvements
@yeldarby transforms Inference docs with streamlined navigation, styling, and instant rendering!
More contributions enhancing Inference documentation:
Update README.md by @ThatOrJohn in #921
Improvements to CI by @alexnorell
Other changes
Add env-injectable headers to RF API requests by @PawelPeczek-Roboflow in #932
Pass roboflow workflow ID as usage_workflow_id if available by @grzegorz-roboflow in #926
Collect usage after execution of decorated methods by @grzegorz-roboflow in #931
Improved the SizeMeasurementBlock Docs by @chandlersupple in #916
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