If you are using computer vision techniques like image classification and object detection, here are some resources from Arm and partners that can help. Advancements in deep learning, neural networks and embedded compute capabilities enables machine vision on low-power Cortex-M processors, as well as even more efficiency for Cortex-A based devices. Go to section:

Computer vision on Cortex-M | Computer vision on Cortex-A | Get Support

Computer vision on Cortex-M

Image recognition on Cortex-M

Using an STM32F7 development board, learn how to use the CMSIS-NN library to improve the performance and energy efficiency of your Cortex-M based real-time image recognition application.

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Deploy a Caffe model using CMSIS-NN

Run a smile detection program on the Cortex-M7 based OpenMV Cam, using a Caffe model.

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Image recognition with TensorFlow

Learn how to use Tensorflow Lite for Microcontrollers to run a neural network to recognize people in images.

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Add intelligent vision

Understand the concepts of adding intelligent vision to your next embedded device.

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Computer vision on Cortex-A

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Train your Raspberry Pi to detect what gesture you are performing, through transfer learning.

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More robust models

Build and train a more robust model, to have your Raspberry Pi detect multiple gestures.

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Image analysis on Raspberry Pi

Build an Arm NN-based application for an IoT device that performs automatic trash sorting using image analysis.

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ML solutions on embedded devices

Use the Au-Zone DeepView ML toolkit for on-target runtime performance on vision applications.

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Profile AlexNet on Raspberry Pi and HiKey 960

Use Streamline to profile the AlexNet example application from the Arm Compute Library for Raspberry Pi and the HiKey 960 board.

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Run AlexNet on Raspberry Pi

Develop a Convolutional Neural Network (CNN) called AlexNet using the Arm Compute Library and a Raspberry Pi.

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Accelerate ML using Compute Library on HiKey 960

Run ML applications on a high development platform using the HiKey 960, a mobile development platform built on Arm Cortex processors and Mali GPUs.

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Community Forums

Suggested answer Cortex-M3 Registers 0 votes 641 views 9 replies Latest 16 hours ago by Andy Neil Answer this
Answered FPB BreakPoint(without Debugger)
  • Armv7-M
  • Debugging
  • Cortex-M4
0 votes 131 views 3 replies Latest yesterday by 42Bastian Schick Answer this
Answered Make MPU be uniprocessor system 0 votes 409 views 3 replies Latest yesterday by 42Bastian Schick Answer this
Answered Trouble configuring MMU for 2MB block mapping
  • Memory Management Unit (MMU)
0 votes 892 views 1 replies Latest yesterday by jcal93 Answer this
Suggested answer Cortex-M3 Registers Latest 16 hours ago by Andy Neil 9 replies 641 views
Answered FPB BreakPoint(without Debugger) Latest yesterday by 42Bastian Schick 3 replies 131 views
Answered Make MPU be uniprocessor system Latest yesterday by 42Bastian Schick 3 replies 409 views
Answered Trouble configuring MMU for 2MB block mapping Latest yesterday by jcal93 1 replies 892 views