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  • v1.14.29
  • v1.14.27
  • v1.14.19
  • v1.14.16
  • v1.14.15
  • v1.14.7
  • v1.14.5
  • v1.13.29
  • v1.13.23
  • v1.13.22
  • v1.13.21
  • v1.13.21
  • v1.13.12
  • v1.13.8
  • v1.13.3
  • v1.9.8
  • v1.9.6
  • v1.9.1
  • v1.9.0
  • v1.7.5
  • v1.7.0
  • v1.5.2
  • v1.5.0
  • v1.4.23

Release Notes (2022)

PreviousRelease Notes (2023)

Last updated 1 year ago

v1.14.29

December 14, 2022

  • Renesas CK-RA6M5 Cloud Kit

    • View the !

v1.14.27

December 12, 2022

  • Allow DSP blocks to output WAVs

v1.14.19

December 5, 2022

    • View the !

v1.14.16

December 1, 2022

v1.14.15

December 1, 2022

v1.14.7

November 22, 2022

v1.14.5

November 20, 2022

v1.13.29

November 9, 2022

v1.13.23

October 25, 2022

v1.13.22

October 22, 2022

v1.13.21

October 20, 2022

v1.13.21

October 20, 2022

v1.13.12

October 4, 2022

v1.13.8

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

v1.13.3

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

v1.9.8

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

v1.9.6

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

v1.9.1

September 13, 2022

v1.9.0

September 9, 2022

  • New library deployment (beta): BrainChip (for image-based projects)

    • A MetaTF converted saved model (.fbz) for use with the Akida runtime

v1.7.5

September 5, 2022

    • Added ESP-NN into the Edge Impulse SDK for ESP32 deployment

v1.7.0

August 31, 2022

v1.5.2

August 21, 2022

    • Added camera inference sketch in deployment

v1.5.0

August 17, 2022

v1.4.23

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

View the !

Add Wavelet decomposition DSP block

View the !

Support for YOLOX / YOLOv5 v5 last layers, update TFLite for Linux to 2.6.5

Use with and (push as custom blocks)

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

When creating a public version of a project, the is now applied

Add label filter to DSP view

View the !

View the !

Watch the !

Getting Started documentation
Getting Started documentation
edgeimpulse/example-custom-ml-block-ti-yolox
edgeimpulse/yolov5/tree/v5
Apache 2.0 license
announcement blog
announcement blog
Getting Started video
Getting Started documentation
Texas Instruments TDA4VM
Getting Started documentation
Bring Your Own Model Into Edge Impulse with ONNX
Performance Calibration
EON Tuner Search Space
Edit Block Locally
Infineon CY8CKIT-062S2 Pioneer Kit
Espressif ESP32
Synaptics Katana EVK KA10000
Arduino Nicla Vision
Arduino Nicla Vision
Spectral Analysis v2
Raspberry Pi RP2040