1、如下为.dat文件中文件头的基本格式:
MagicNumber Format StartingAddress PageNum Length [NewFormat]
下面是分别的解释:
MagicNumber:1651.
Format:a number from 1 to 4, indicating the format of the samples in the file. This number represents a data format:
(1) - hexadecimal,
(2) - integer
(3) - long
(4) - float
(9) - Use new scheme
StartingAddress:starting address of the block that was saved.
PageNum:page number the block was taken from.
Length:number of samples in the block.
NewFormat:Format (9); the new scheme. This is optional when usign the legacy formats 1 - 4
如下例子中的数据:
1 1651 2 8cc0 0 1a70c2 793 744 745 676 ...7 ...
第一行的数据为:1651 2 8cc0 0 1a70c
1651标志着这是TI的.dat文件的格式。
2表示了这个文件中的数据是整数格式的,比如第二行的数据79是interger的格式。
8cc0表示这段数据Load Memory到CCS软件的过程中,是加载到0x8cc0对应的地址上的。
0表示这段数据将加载到page0的位置上。
1a70c表示这段数据的总长度为0x1a70c(Hex) = 108300(Decimal)
2、创建图像对应的.dat文件:
如下的图片,转换为190*190大小的图片,并生成对应的.dat文件.
Code(文件名称:_dat_create.py):
1 importcv22 importglob3 Path = glob.glob('*.jpg')4 count =05 for Pic inPath:6 I =cv2.imread(Pic)7 res = cv2.resize(I,(190,190),interpolation=cv2.INTER_CUBIC)8 Name = "Test" +str(count)9 cv2.imwrite(Name + ".png",res)10 fid = open(Name + ".dat",'w')11 fid.write('1651 2 8cc0 0 1a70c'+'\n')12 width,height = res.shape[:2]13 for channel in range(3):14 for row inrange(height):15 for col inrange(width):16 fid.write(str(res[row][col][channel])+'\n')17 count += 1
将上述代码以及要处理的图片拷贝到同一个目录下,双击运行python脚本文件即可生成:
我们可以通过修改代码中的190*190的图像尺寸来生成不同的图像数据,并生成对应的.dat文件。
3、创建音频对应的.dat文件:
如下链接中的单音音源sin.wav,生成对应的.dat文件.
Code(文件名Audio2Dat.py):
1 from scipy.io.wavfile importwrite, read2 importnumpy as np3 importmath4 importglob5 importsys6 importos7
8 INT16_FAC = (2**15)-1
9 INT32_FAC = (2**31)-1
10 INT64_FAC = (2**63)-1
11 norm_fact = {'int16':INT16_FAC, 'int32':INT32_FAC, 'int64':INT64_FAC,'float32':1.0,'float64':1.0}12
13 defwavread(filename):14 """
15 Read a sound file and convert it to a normalized floating point array16 filename: name of file to read17 returns fs: sampling rate of file, x: floating point array18 """
19 if (os.path.isfile(filename) == False): #raise error if wrong input file
20 print("Input file does not exist. Make sure you computed the analysis/synthesis")21
22 fs, x =read(filename)23
24 if (len(x.shape) !=1): #raise error if more than one channel
25 raise ValueError("Audio file should be mono")26
27 if (fs !=44100): #raise error if more than one channel
28 raise ValueError("Sampling rate of input sound should be 44100")29
30 #scale down and convert audio into floating point number in range of -1 to 1
31 x = np.float32(x)/norm_fact[x.dtype.name]32 returnfs, x33
34 path = glob.glob('*.wav')35 count = 1
36 for p inpath:37 fs, dat =wavread(str(p))38
39 fid = open(str(count)+'.dat','w')40 #flie·Magic=1651 X=9 data·StartAddress=0x80000000 X=0 data·Number(Hex)=0x7a120 X=5
41 fid.write('1651 9 80000000 0 7a120 5'+'\n')42 for i indat:43 fid.write(str(i)+'\n')44 fid.close()45 count += 1
将上述代码以及要处理的图片拷贝到同一个目录下,双击运行python脚本文件即可生成.dat文件:
结果如下:
1 1651 9 80000000 0 7a120 5
2 0.0
3 0.05011866
4 0.10004042
5 0.14956915
6 0.19851027
7 ...8 ...
参考内容: