diff --git a/AMG8833/README.md b/AMG8833/README.md index 139975a26aaf31ac5ee77267dd37881fe9d7feee..80a8ef44bc099006023835e1ccae6f9adbd58d5a 100644 --- a/AMG8833/README.md +++ b/AMG8833/README.md @@ -4,9 +4,9 @@   一个8*8像素的红外热成像相机，探测外界热量数据矩阵，并将其以图像的方式呈现出来。 -![](/AMG8833/img/Snipaste_2021-07-14_22-47-03.jpg) +![](/img/Snipaste_2021-07-15_19-06-39.jpg) -  后续将加入双线性插值算法，让成像有更高的分辨率。 +  图为加入双线性插值算法后让成像有更高的分辨率的效果。 ## 物理连接 @@ -14,7 +14,7 @@    传感器选择如下图所示的型号为AMG8833的8*8像素红外热像仪传感器模组。 -![](/AMG8833/img/Snipaste_2021-07-14_21-51-11.jpg) +![](/img/Snipaste_2021-07-14_21-51-11.jpg) ### 传感器接线 @@ -30,7 +30,7 @@ ## 传感器库使用 -  可以获取[amg8833.py](/AMG8833/code/amg8833.py),将此库通过[Waffle Maker](https://wafflenano.blackwalnut.tech/ide/index.html#/editor) 的文件上传功能将此库上传到`Waffle Nano`上。 +  可以获取[amg8833.py](/code/amg8833.py),将此库通过[Waffle Maker](https://wafflenano.blackwalnut.tech/ide/index.html#/editor) 的文件上传功能将此库上传到`Waffle Nano`上。   我们在可以在主函数中使用以下代码导入此库。 @@ -54,6 +54,11 @@ IRdata=ircamera.read() #从红外照相机中获取数据 ## 案例代码复现 -  可以获取[main.py](/AMG8833/code/main.py)函数，将其内容复制到[Waffle Maker](https://wafflenano.blackwalnut.tech/ide/index.html#/editor) 编辑器上传输给`Waffle Nano`，以复现此案例。 +  可以获取[main.py](/code/main.py)代码，将其内容复制到[Waffle Maker](https://wafflenano.blackwalnut.tech/ide/index.html#/editor) 编辑器上传输给`Waffle Nano`，以复现此案例，基础效果如下所示： -  案例相关细节说明详见代码注释 \ No newline at end of file +![](/img/Snipaste_2021-07-14_22-47-03.jpg) + + +  案例相关细节说明详见代码注释 + +  我们也可以获取[bilinear.py](/code/bilinear.py)代码，其中采用双线性插值算法，将其内容复制到[Waffle Maker](https://wafflenano.blackwalnut.tech/ide/index.html#/editor) 编辑器上传输给`Waffle Nano`，可复现出如案例展示图所示的效果。 \ No newline at end of file diff --git a/AMG8833/code/bilinear.py b/AMG8833/code/bilinear.py new file mode 100644 index 0000000000000000000000000000000000000000..23d326c8757e688b495433a1e0b7b008f9726b34 --- /dev/null +++ b/AMG8833/code/bilinear.py @@ -0,0 +1,91 @@ +from machine import I2C,SPI, Pin #导入通信以及引脚相关的库 +import st7789 #导入屏幕驱动库 +import utime +import math +i2c= I2C(1, scl=Pin(1), sda=Pin(0), freq=400000) #构造IIC对象 + +st=21 #成像时行列像素 +spi = SPI(0, baudrate=40000000, polarity=1, phase=0, bits=8, endia=0, sck=Pin(6), mosi=Pin(8)) #构造spi对象 +display = st7789.ST7789(spi, 240, 240, reset=Pin(11,func=Pin.GPIO, dir=Pin.OUT), dc=Pin(7,func=Pin.GPIO, dir=Pin.OUT)) #构造屏幕控制对象 +display.init() #屏幕初始化 + +backgroud_clr = st7789.color565(255, 255, 255) #设置背景颜色为白色 +obj_clr = st7789.color565(0, 0, 0) #温度显示用颜色 +display.fill(backgroud_clr) #屏幕背景颜色填充 + +obj_len = 12 #每个像素的屏幕显示尺寸 +user_rows = st #每列16像素 +user_columns = st #每行16像素 +MAXTEMP=27 #最高温度 +MINTEMP=25 #最低温度 +start_x = 0 +start_y = 0 + +camColors=[0x480F, +0x400F,0x400F,0x400F,0x4010,0x3810,0x3810,0x3810,0x3810,0x3010,0x3010, +0x3010,0x2810,0x2810,0x2810,0x2810,0x2010,0x2010,0x2010,0x1810,0x1810, +0x1811,0x1811,0x1011,0x1011,0x1011,0x0811,0x0811,0x0811,0x0011,0x0011, +0x0011,0x0011,0x0011,0x0031,0x0031,0x0051,0x0072,0x0072,0x0092,0x00B2, +0x00B2,0x00D2,0x00F2,0x00F2,0x0112,0x0132,0x0152,0x0152,0x0172,0x0192, +0x0192,0x01B2,0x01D2,0x01F3,0x01F3,0x0213,0x0233,0x0253,0x0253,0x0273, +0x0293,0x02B3,0x02D3,0x02D3,0x02F3,0x0313,0x0333,0x0333,0x0353,0x0373, +0x0394,0x03B4,0x03D4,0x03D4,0x03F4,0x0414,0x0434,0x0454,0x0474,0x0474, +0x0494,0x04B4,0x04D4,0x04F4,0x0514,0x0534,0x0534,0x0554,0x0554,0x0574, +0x0574,0x0573,0x0573,0x0573,0x0572,0x0572,0x0572,0x0571,0x0591,0x0591, +0x0590,0x0590,0x058F,0x058F,0x058F,0x058E,0x05AE,0x05AE,0x05AD,0x05AD, +0x05AD,0x05AC,0x05AC,0x05AB,0x05CB,0x05CB,0x05CA,0x05CA,0x05CA,0x05C9, +0x05C9,0x05C8,0x05E8,0x05E8,0x05E7,0x05E7,0x05E6,0x05E6,0x05E6,0x05E5, +0x05E5,0x0604,0x0604,0x0604,0x0603,0x0603,0x0602,0x0602,0x0601,0x0621, +0x0621,0x0620,0x0620,0x0620,0x0620,0x0E20,0x0E20,0x0E40,0x1640,0x1640, +0x1E40,0x1E40,0x2640,0x2640,0x2E40,0x2E60,0x3660,0x3660,0x3E60,0x3E60, +0x3E60,0x4660,0x4660,0x4E60,0x4E80,0x5680,0x5680,0x5E80,0x5E80,0x6680, +0x6680,0x6E80,0x6EA0,0x76A0,0x76A0,0x7EA0,0x7EA0,0x86A0,0x86A0,0x8EA0, +0x8EC0,0x96C0,0x96C0,0x9EC0,0x9EC0,0xA6C0,0xAEC0,0xAEC0,0xB6E0,0xB6E0, +0xBEE0,0xBEE0,0xC6E0,0xC6E0,0xCEE0,0xCEE0,0xD6E0,0xD700,0xDF00,0xDEE0, +0xDEC0,0xDEA0,0xDE80,0xDE80,0xE660,0xE640,0xE620,0xE600,0xE5E0,0xE5C0, +0xE5A0,0xE580,0xE560,0xE540,0xE520,0xE500,0xE4E0,0xE4C0,0xE4A0,0xE480, +0xE460,0xEC40,0xEC20,0xEC00,0xEBE0,0xEBC0,0xEBA0,0xEB80,0xEB60,0xEB40, +0xEB20,0xEB00,0xEAE0,0xEAC0,0xEAA0,0xEA80,0xEA60,0xEA40,0xF220,0xF200, +0xF1E0,0xF1C0,0xF1A0,0xF180,0xF160,0xF140,0xF100,0xF0E0,0xF0C0,0xF0A0, +0xF080,0xF060,0xF040,0xF020,0xF800] + +dest=[0]*(st*st) +IRdata=[0]*(8*8) +addr=105 +bin_data = [0]*128 +src_w=8 +src_h=8 +des_h=st +des_w=st +while True: + bin_data=list(i2c.readfrom_mem(addr,0x80,128)) + for i in range (64): + IRdata[i]=int((bin_data[i*2+1]*256+bin_data[i*2])*0.25*1000) + + srcX=0 + srcY=0 + x=start_x + y=start_y + + for dstY in range(des_h): + for dstX in range(des_w): + srcX=(dstX+0.5)* (src_w/des_w)-0.5 + srcY=(dstY+0.5)*(src_h/des_h)-0.5 + src_x_0 = int(math.floor(srcX)) + src_y_0 = int(math.floor(srcY)) + src_x_1 = min(src_x_0 + 1, src_w - 1) + src_y_1 = min(src_y_0 + 1, src_h - 1) + value0 = (src_x_1 - srcX) * IRdata[src_y_0*src_w+src_x_0] + (srcX - src_x_0) * IRdata[src_y_0*src_w+src_x_1] + value1 = (src_x_1 - srcX) * IRdata[src_y_1*src_w+src_x_0] + (srcX - src_x_0) * IRdata[src_y_1*src_w+src_x_1] + if(dstX!=(des_w-1)and dstY!=(des_h-1)): + dest[dstY*des_w+dstX] = int((src_y_1 - srcY) * value0 + (srcY - src_y_0) * value1) + obj_clr=camColors[int((max(min(dest[dstY*des_w+dstX],MAXTEMP*1000),MINTEMP*1000)-MINTEMP*1000)*(255/(MAXTEMP*1000-MINTEMP*1000)))] + + display.fill_rect(x,y,obj_len,obj_len, obj_clr) + x += obj_len + x = start_x + y += obj_len + + + + diff --git a/AMG8833/img/Snipaste_2021-07-15_19-06-39.jpg b/AMG8833/img/Snipaste_2021-07-15_19-06-39.jpg new file mode 100644 index 0000000000000000000000000000000000000000..42cb8c1c32f86212e14be820f8be33769a84d460 Binary files /dev/null and b/AMG8833/img/Snipaste_2021-07-15_19-06-39.jpg differ