ksasao’s gists

ksasao / adctest.ino

Last active February 24, 2019 16:29

M5Stack analog read and noise suppression

	#include <driver/adc.h>
	#include <M5Stack.h>

	void setup() {
	Serial.begin(115200);
	M5.begin();
	M5.Speaker.setVolume(0);
	M5.Lcd.setBrightness(200);

	adc1_config_width(ADC_WIDTH_12Bit);

ksasao / analog_mic_draw.ino

Last active May 17, 2018 04:11

[M5Stack] mic input test (speaker noise suppressed) refer to https://gist.github.com/ksasao/485ffbccbf3c47ea9cb814d3484e85e0

	#include <driver/adc.h>
	#include <M5Stack.h>

	const int _bufSize = 128;
	int _buf[_bufSize]; // adc buffer for suppress speaker noise

	int _pos = 0;
	int _old = 0;
	int _count = 0;
	int _offset = 0;

ksasao / camera.ino

Last active August 21, 2018 07:54

Grove Serial Camera Kit demo for M5Stack

	//
	// Grove Serial Camera Kit demo for M5Stack
	//
	// !! CAUTION !!
	// This code uses M5Stack Grove I2C as Grove UART (serial port).
	// REMOVE all I2C devices.
	//
	// original code:
	// https://github.com/Seeed-Studio/Grove_Serial_Camera_Kit/blob/master/SerialCameral_DemoCode_CJ_OV528_SoftSer/SerialCameral_DemoCode_CJ_OV528_SoftSer.ino
	// File SerialCamera_DemoCode_CJ-OV528.ino

ksasao / M5StackTTS.ino

Created March 24, 2018 13:49

	// M5Stack Text-to-Speech demo using AquesTalk pico for ESP32
	// see: http://blog-yama.a-quest.com/?eid=970188
	#include <M5Stack.h>
	#include "driver/i2s.h"
	#include "aquestalk.h"

	#define LEN_FRAME 32
	uint32_t workbuf[AQ_SIZE_WORKBUF];

	void setup() {

ksasao / drawNumber.ino

Last active April 1, 2018 00:24

Drawing test for M5Stack. see https://twitter.com/ksasao/status/970196248836755456 To see the whole source code, click RAW or Download ZIP button. License: public domain.

This file has been truncated, but you can view the full file.

	#include <M5Stack.h>
	#include "M5StackUpdater.h"

	const unsigned char _buf[] ={
	255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,
	255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,
	255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,
	255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,
	255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,
	255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,

ksasao / 0_talking_watch.ino

Last active July 18, 2019 11:13

Talking wrist watch for M5Stack

	// Talking wrist watch for M5Stack
	// 2018/4/8 @ksasao
	//
	// see:
	// https://twitter.com/meganetaaan/status/982258576361078784
	// http://blog-yama.a-quest.com/?eid=970191
	// prerequisite: AquesTalk pico for ESP32
	// https://www.a-quest.com/download.html#a-etc
	#include <M5Stack.h>
	#include "avator.h"

ksasao / echo_server.py

Created April 15, 2018 06:13

Python3 asynchronous UDP Server for Windows (asyncio does not support 'create_datagram_endpoint()')

	import socket
	import threading

	HOST = '0.0.0.0'
	PORT = 24081
	BUFFER_SIZE = 1024

	def udpServer():
	s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
	s.bind((HOST, PORT))

ksasao / findmarker.py

Last active February 20, 2022 09:12

某スーツの水玉をみつけるやつ

	import numpy as np
	import random
	import math
	import cv2
	from PIL import Image

	def recognize(im):
	# 輪郭線抽出のための二値化
	im_gray = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY)
	im_blur = cv2.GaussianBlur(im_gray, (3, 3), 0)

ksasao / detect_marker.py

Last active December 10, 2023 02:38

ZOZOSUITのマーカーのIDを読み取るコードです。公開されている画像を元に独自に解析しているので、公式ではこのように処理しているかどうかは不明です。仕様等については https://twitter.com/ksasao/status/990779583682170881 のスレッドも参照してください。全身を読み取るコード https://twitter.com/ksasao/status/989842844243279872 ライセンスは Apache License 2.0 です。

	import numpy as np
	import random
	import math
	import cv2
	from PIL import Image
	import sys

	def detect_markers(im):
	markers = []
	# 輪郭線抽出のための二値化

ksasao / acc.py

Last active September 12, 2018 14:08

iPhoneで心拍を取るテスト。Pythonista 用。実行すると5秒後から５秒間測定を行います。仰向けになってiPhoneを胸の上に置き、息を止めてじっとしていてください。


	'''This script records your device's orientation (accelerometer data) for 5 seconds, and then renders a simple plot of the gravity vector, using matplotlib.'''

	import motion
	import matplotlib.pyplot as plt
	from time import sleep
	import console


	def main():

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