Inference v0.33.0
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We welcome new block bringing 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.
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Related changes:
Fix/onboarding llama 3.2 by in
Tests for LLama Vision 3.2 by in
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
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!
More contributions enhancing Inference documentation:
Change introduced by
transforms Inference docs with streamlined navigation, styling, and instant rendering!
better version handling in generated block pages by in
Update README.md by in
Add env-injectable headers to RF API requests by in
Pass roboflow workflow ID as usage_workflow_id if available by in
Collect usage after execution of decorated methods by in
Improved the SizeMeasurementBlock Docs by in