slttblep
esp-who
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slttblep | esp-who | |
---|---|---|
7 | 15 | |
12 | 1,609 | |
- | 1.3% | |
0.0 | 6.2 | |
over 3 years ago | about 2 months ago | |
C++ | C | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
slttblep
- Can I use an arduino?
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I Over-Engineered a Fast Fourier Transform for Arduino
The oscillator bit is, but I don't appear to have uploaded the one with the filter which I will need to find.
https://github.com/ErroneousBosh/slttblep
The filter is just an SVF with, with a precomputed expo scale "bent over" at the top to correct for quantisation. From that the two SVF coefficients ω/Q and ω*Q are calculated every time there's a control update and of course because you can't divide on an Arduino it uses a lookup table of reciprocals. I could probably use a "wider" table of 16-bit values for better precision.
- Seeking Arduino Nano help - diy synth/noise/sound projects that are fairly straightforward compact and simple to take on. I'm just horrible at code. At least #mozzi code, I can't find the encyclopedia of Mozzi synth-centric commands
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Looking for some learning advice!
This code here will run on an Arduino and read an analogue input which sets the pitch of a bandlimited sawtooth waveform coming out one of the PWMs.
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Arduino synth, a smol start
Take a look at https://github.com/ErroneousBosh/slttblep for an example of an anti-aliased sawtooth on an Arduino. Since you're using an 8-bit Arduino you can't really multiply and can't divide at all, so you have to use the titular Stupid Lookup Table Tricks to "divide" by multiplying by a reciprocal, and use a precomputed table for the function that "smooths out" the step.
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Digital signal synthesis with fixed sampling rate
I've waffled long enough. Get an Arduino of some sort, and run this on it and read through the code until it makes more sense :-)
esp-who
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Does the facial recognition on the AI Thinker ESP32 Cam happen on board?
Yes, it's on device (see https://github.com/espressif/esp-who/)
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Powering up ESP32-EYE/ESP-32-CAM with USB wall adapter
Thanks, I needed some affirmation! The ESP32-EYE I believe still has IPEX connector as seen here or am I missing something?
- Can I run an I2S mic, I2S speaker, screen, and camera directly to GPIO all at the same time on ESP32-S3?
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I Over-Engineered a Fast Fourier Transform for Arduino
I guess, but it’s also pretty open code these days now that the S3’s LX7 has some nice vector extensions and other additions for ML applications :)
https://github.com/espressif/esp-who
It’s not out of reach for hobbyists, I think, though getting it to run very well might be. And I would certainly tell anyone interested to start with something more powerful first!
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Questions about OpenCV with ESP32-CAM
This is the unit I use for prototyping, then I figure out what parts I actually need and select the final hardware I want to use for the "production" unit. https://github.com/espressif/esp-who/blob/master/docs/en/get-started/ESP32-S3-EYE_Getting_Started_Guide.md
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Anyone know how those face tracking tripods/phone holders work?
You can even find smaller (and cheaper and less powerful) devices than RPi which are able to do that – e.g. https://github.com/espressif/esp-who for ESP32-CAM (~$10). Usage of that library is also very straightforward, there are many examples on the internet.
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How to add esp http client to ESP WHO example project?
I am using ESP-EYE, i have installed ESP-WHO on system as per instruction, i tried as is example project of ESP WHO to capture image.
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ESP32-S3-EYE v2.2 dev board -- pinouts, interrupts... I need numbers
The getting started guide and all of its references (links).
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want to start with esp who, getting build error
Run the following commands in your terminal to download ESP-WHO: git clone --recursive https://github.com/espressif/esp-who.git Remember to use git submodule update --recursive --init to pull and update submodules of ESP-WHO.
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Powering ESP32-S2-EYE v2.2 board (brownouts?)
From the GitHub specs it looks like there is an integrated charging circuit for the battery soldering points utilizing the usb input as the power supply. I would assume some modicum of protection with a charging circuit but if you’re looking for the best alternative to a battery then I’d wait for smarter people to answer.
What are some alternatives?
Helios-One-Synth-V4.6 - MIDI controlled Arduino synth using the Mozzi audio Library
esp-dl - Espressif deep-learning library for AIoT applications
Face-Detection-on-Microcontrollers
TeensyEyes - Based on adafruit/Uncanny_Eyes, M4_Eyes, and mjs513/GC9A01A_t3n
pico - A minimalistic framework for real-time object detection (with a pre-trained face detector)
pi-smart-cam
PlatformIO - Your Gateway to Embedded Software Development Excellence :alien:
Face-Detection-on-Microcontrolle
Arduino-VDCO - Voltage Controlled Digital Core Multimode Oscillator using Mozzi library on Arduino