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Title: 19-MLhandwriting Download
 Description: After quantization, the model is transplanted to Arduino uno to realize digit recognition from 0 to 9. The function of realizing edge AI on 8-bit MCU is demonstrated (main frequency of MCU is 16mhz, memory of 2K bytes ram, 32K bytes flash memory), algorithm response speed and recognition effect are very good, the attachment with hardware in the loop's test video
 Downloaders recently: [More information of uploader iResponse2020]
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文件名大小更新时间
19-MLhandwriting 0 2020-10-18
19-MLhandwriting\03_iRHandwriting_recognition 0 2020-10-18
19-MLhandwriting\03_iRHandwriting_recognition\03_iRHandwriting_recognition.ino 14220 2020-10-11
19-MLhandwriting\03_iRHandwriting_recognition\font_16x16.h 1852 2020-10-11
19-MLhandwriting\03_iRHandwriting_recognition\font_8x16.h 8749 2020-07-09
19-MLhandwriting\03_iRHandwriting_recognition\graph.h 5430 2020-07-11
19-MLhandwriting\03_iRHandwriting_recognition\iR_logo.h 5470 2020-08-02
19-MLhandwriting\03_iRHandwriting_recognition\mp3player.h 2706 2020-10-02
19-MLhandwriting\03_iRHandwriting_recognition\oled1306_iic.c 34036 2020-10-13
19-MLhandwriting\03_iRHandwriting_recognition\oled_buffer.h 35380 2020-10-13
19-MLhandwriting\03_iRHandwriting_recognition\touch.h 20952 2020-10-11
19-MLhandwriting\11-touchButton使用教程.pdf 1235043 2020-10-16
19-MLhandwriting\19-MLHA_03_iRHandwriting_recognition使用教程.pdf 938394 2020-10-18
19-MLhandwriting\iRtouch_Lib 0 2020-10-18
19-MLhandwriting\iRtouch_Lib\README.md 4286 2020-01-12
19-MLhandwriting\iRtouch_Lib\examples 0 2020-10-18
19-MLhandwriting\iRtouch_Lib\examples\iRtouch 0 2020-10-18
19-MLhandwriting\iRtouch_Lib\examples\iRtouch\iRtouch.ino 12501 2020-08-14
19-MLhandwriting\iRtouch_Lib\keywords.txt 542 2018-05-09
19-MLhandwriting\iRtouch_Lib\library.properties 204 2020-08-14
19-MLhandwriting\iRtouch_Lib\src 0 2020-10-18
19-MLhandwriting\iRtouch_Lib\src\atmega328p 0 2020-10-18
19-MLhandwriting\iRtouch_Lib\src\atmega328p\iRcapsensor.a 20190 2020-08-14
19-MLhandwriting\iRtouch_Lib\src\iRcapsensor.h 1809 2020-08-01
19-MLhandwriting\手写识别模型效果测试.mp4 3116682 2020-10-16

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