{"version": "1.0.0","io": {"oled_spi": {"type": "SPI","port": 1,"mode": "master","freq": 26000000},"oled_dc": {"type": "GPIO","port": 28,"dir": "output","pull": "pullup"},"oled_res": {"type": "GPIO","port": 30,"dir": "output","pull": "pullup"},},"debugLevel": "ERROR","repl": "disable"
}

SH1106.draw_XBM(x, y, w, h, bitmap)

#define haas_width 23#define haas_height 9static unsigned char haas_bits[] = {0xff,0xff,0xfe,0x80,0x00,0x02,0xa4,0xc6,0x7a,0xa5,0x29,0x42,0xbd,0xef,0x7a,0xa5,0x29,0x0a,0xa5,0x29,0x7a,0x80,0x00,0x02,0xff,0xff,0xfe };

from driver import SPI
from driver import GPIOimport sh1106
import utimeoled_spi = SPI()
oled_spi.open("oled_spi")oled_res = GPIO()
oled_res.open("oled_res")oled_dc = GPIO()
oled_dc.open("oled_dc")oled = sh1106.SH1106_SPI(132, 64, oled_spi, oled_dc, oled_res)oled.fill(0)HAAS_XBM_width=23
HAAS_XBM_height=9HAAS_XBM=[0xff,0xff,0xfe,0x80,0x00,0x02,0xa4,0xc6,0x7a,0xa5,0x29,0x42,0xbd,0xef,0x7a,0xa5,0x29,0x0a,0xa5,0x29,0x7a,0x80,0x00,0x02,0xff,0xff,0xfe]oled.draw_XBM(20,20,HAAS_XBM_width,HAAS_XBM_height,HAAS_XBM)oled.show()

import cv2                                    # open-cv库 用于处理视频和图片badapple_frame = []                  # 创建一个空的数组，用来接收每一帧的XBM数据
cap = cv2.VideoCapture('badapple.mp4') # 打开视频文件i = 0
# 由于原视频有30帧，太高的帧率会导致数据量过大，在oled上也看不出太大区别，因此这里做了抽帧
step = 10                            # 每隔10个视频帧抽取一张XBM图片
while(cap.isOpened()):ret, frame = cap.read() # 读出一张图片放在frame里if (ret == True):i = i+1if(i%step):continueif(i > 1000):                # 只取视频前1000帧图像breakxbm_wight, xbm_height, xbm_bit = cv_2_xbm(frame, (128, 64), 150) # 将图像转换为XBMbadapple_frame.append(xbm_bit)        # 存入badapple_frameelse:breakcap.release()

import cv2# cv2_img open-cv图片对象
# size 目标XBM大小 e.g.(128,64)
# thresh 图片二值化 阈值
def cv_2_xbm(cv2_img, size, thresh):if(len(cv2_img.shape) > 2):                                 # 如果是三通道（彩色）图片cv2_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # 转换为灰度图片img = cv2.resize(cv2_img, size, interpolation=cv2.INTER_LINEAR)               # 改变修改目标分辨率ret, threshimg = cv2.threshold(img, thresh, 255, cv2.THRESH_BINARY) # 二值化# cv2.imwrite('threshimg.bmp', threshimg) # 写入图片文件xbm_height = size[1]xbm_wight = size[0]//8 + (size[0]%8 != 0)xbm_bit = []mask = 0b10000000byte = 0# 开始映射像素for (pos_y, row) in enumerate(threshimg):for (pos_x, pixel) in enumerate(row):if(mask == 0):mask = 0b10000000xbm_bit.append(byte)byte = 0if pos_x == len(row) - 1:mask = 0if pixel > thresh:byte |= maskmask = mask >> 1xbm_bit.append(byte|mask|(1 if threshimg[-1][-1]>thresh else 0))return size[0],size[1],xbm_bit

import badapple
from driver import SPI
from driver import GPIO
import sh1106
import utimeoled_spi = SPI()
oled_spi.open("oled_spi")oled_res = GPIO()
oled_res.open("oled_res")oled_dc = GPIO()
oled_dc.open("oled_dc")oled = sh1106.SH1106_SPI(132, 64, oled_spi, oled_dc, oled_res)oled.fill(0)
oled.show()f = 0    # 帧索引while(1):if(f == (len(badapple.badapple_frame) - 1)):       # 如果播放到结尾，再从头播放f = 0oled.fill(0)  # 清除帧缓冲区oled.draw_XBM(2, 0,badapple.badapple_frame_width,badapple.badapple_frame_height,badapple.badapple_frame[f]) # 绘制XBMoled.show()            # 绘制到屏幕f = f + 1utime.sleep_ms(30)     # 睡30ms 否则看起来很快