AWR1443, AWR1243 Evaluation Module
(AWR1443BOOST, AWR1243BOOST) mmWave
Sensing Solution User’s Guide:

A closed jumper refers to a 1 and
an open jumper refers to a 0 state
of the SOP signal going to the AWR device.
Jumper
101 (Short/Open/Short) = Flash programming
001 (Open/Open/Short) = Functional mode
安裝3.6版會沒有
xwr14xx_mmw_demo.bin可以燒錄
AWR1443需要燒錄xwr14xx
mmwave_sdk 3.6最低從
xwr16xx_mmw_demo.bin
無正確的bin檔可以燒錄
AWR1443BOOST
Jumper = 101 (Flash programming)
After changing the SOP mode, power off/on the EVM
For flashing you will need to use in Uniflash the User Port: – COM3
(裝置管理員中User UART結尾的那一個COM)

Settings: COM3

Meta image1: xwr14xx_mmw_demo.bin => Load Image
(依個人硬體選擇正確的bin檔)

成功的話,Uniflash最底下應該出現
綠色的Program Load completed successfully
未選擇正確bin檔的話,
燒錄會出現Error
就算Program Load completed successfully也無效

xwr14xx_mmw_demo.bin

After flashing,
change the SOP mode to Functional Mode
(SOP mode 4: 001)
SOP 0 has a jumper,
SOP 1,2 are not connected
After changing the SOP mode,
power off/on the EVM
mmWave Demo Visualizer
Platform: xWR14xx
SDK version: 2.1

按”SEND CONFIG TO MMWAVE DEVICE”
(左下角: Hardware Connected)

console messages會跑出一堆資訊
點Plots也會有圖:

![Python: 如何將pandas.DataFrame從寬資料轉為長資料? df_melt = pd.melt(df, id_vars=[‘name’, ‘gender’], var_name=’time’, value_name=’score’) ; seaborn繪圖 Python: 如何將pandas.DataFrame從寬資料轉為長資料? df_melt = pd.melt(df, id_vars=[‘name’, ‘gender’], var_name=’time’, value_name=’score’) ; seaborn繪圖](https://i1.wp.com/savingking.com.tw/wp-content/uploads/2023/03/20230302152215_95.png?quality=90&zoom=2&ssl=1&resize=350%2C233)




![Python: 如何在pandas.read_csv() or pandas.read_excel() 中使用keep_default_na =False , na_values =[] 保留文件中的原始“NA”? Python: 如何在pandas.read_csv() or pandas.read_excel() 中使用keep_default_na =False , na_values =[] 保留文件中的原始“NA”?](https://i1.wp.com/savingking.com.tw/wp-content/uploads/2024/05/20240530215737_0.png?quality=90&zoom=2&ssl=1&resize=350%2C233)


![Python: pandas.DataFrame()處理雙維度資料,dict跟2D list轉為DataFrame有何差別?如何用index及columns屬性客製化index跟欄位名稱?df.index = [“一”,”二”,”三”,”四”] ; df.columns = 使用.head(n) ; .tail(m) ;取首n列,尾m列; .at[index,欄位名稱] 取單一資料 ; .iat[index,欄位順序] 取單一資料 ; .loc[index,欄位名稱] 取資料 ; .iloc[index,欄位順序];df.iloc[ [0,1],[0,2]])取資料 ; df.iloc[ 0:3,0:2]切片 Python: pandas.DataFrame()處理雙維度資料,dict跟2D list轉為DataFrame有何差別?如何用index及columns屬性客製化index跟欄位名稱?df.index = [“一”,”二”,”三”,”四”] ; df.columns = 使用.head(n) ; .tail(m) ;取首n列,尾m列; .at[index,欄位名稱] 取單一資料 ; .iat[index,欄位順序] 取單一資料 ; .loc[index,欄位名稱] 取資料 ; .iloc[index,欄位順序];df.iloc[ [0,1],[0,2]])取資料 ; df.iloc[ 0:3,0:2]切片](https://i0.wp.com/savingking.com.tw/wp-content/uploads/2022/11/20221111093547_79.png?quality=90&zoom=2&ssl=1&resize=350%2C233)

近期留言