Release Notes (2022)
Last updated
Last updated
December 14, 2022
Renesas CK-RA6M5 Cloud Kit
View the Getting Started documentation!
December 12, 2022
Allow DSP blocks to output WAVs
December 5, 2022
December 1, 2022
December 1, 2022
November 22, 2022
View the Getting Started documentation!
November 20, 2022
View the Getting Started documentation!
November 9, 2022
Use with edgeimpulse/example-custom-ml-block-ti-yolox and edgeimpulse/yolov5/tree/v5 (push as custom blocks)
October 25, 2022
October 22, 2022
October 20, 2022
October 20, 2022
October 4, 2022
October 3, 2022
Performance calibration allows you to test, fine-tune, and simulate running event detection models using continuous real-world or synthetically generated streams of data
Currently only available for audio data projects
September 27, 2022
Added validation for custom EON Tuner search space JSON
Added support for using custom organization DSP blocks in EON tuner search space
When creating a public version of a project, the Apache 2.0 license is now applied
September 15, 2022
On the DSP block tab, select from a "Show labels" dropdown to quickly view the DSP processing results for a specific sample
September 14, 2022
Any built-in block in the Edge Impulse Studio can be edited locally, and then pushed back as a custom block
To download a block, go to any learning block in your project, click the three dots, select "Edit block locally", and follow the instructions in the README
September 13, 2022
View the announcement blog!
September 9, 2022
New library deployment (beta): BrainChip (for image-based projects)
A MetaTF converted saved model (.fbz) for use with the Akida runtime
September 5, 2022
Added ESP-NN into the Edge Impulse SDK for ESP32 deployment
August 31, 2022
View the announcement blog!
August 21, 2022
Added camera inference sketch in deployment
August 17, 2022
Watch the Getting Started video!
August 4, 2022
Easier to use, with less DSP parameters needed for good performance
Generalizes better (that is, performs well with data it wasn't trained on)
Generally uses less RAM than v1
Added continuous inference with FreeRTOS
Added mic support for RP2040 Connect
Bumped Arduino Nicla core version to 3.4.1
Add an option to copy metadata (as passed in from a transform job)
Renesas RZ/V2L Evaluation Board
Add Wavelet decomposition DSP block
Support for YOLOX / YOLOv5 v5 last layers, update TFLite for Linux to 2.6.5
Rename transferLearning to learning for CLI custom blocks instructions
Add GPU accelerated inference Object Detection for Jetson
Arduino nano_ble33_sense_accelerometer_continuous fix
ESP32 Update 3: Fixing ESP-NN Arduino library, minor bug fixes, update Arduino sketches
ESP32 Update 3: Fixed ESP-NN Arduino library, minor bug fixes, Arduino sketches
YOLOv5 inference version 3 update: inferencing available for full TFLite and DRP-AI
Show public project license
Add label filter to DSP view