I am writing a .binp file in Pyton and am trying to read it in Matlab again.
The .binp file has an X-Header with 11 parameters and the Y-Header has 7 parameters
#Data
X[0,0] = 0
X[0,1] = -delta_width/2
X[0,2] = -delta_height/2
X[0,3] = 0.0
X[0,4] = delta_width/2
X[0,5] = 0.0
X[0,6] = 0.0
X[0,7] = 0.0
X[0,8] = delta_height/2
X[0,9] = 0.0
X[0,10] = n_nvector_facet
Y = np.zeros((n_facet*n_nvector_facet,7)) # only one normal vector per facet
Y[0,0] = -delta_width/2
Y[0,1] = -delta_height/2
Y[0,2] = 0.0
Y[0,3] = 0.0
Y[0,4] = 0.0
Y[0,5] = 1.0
Y[0,6] = delta_width*delta_height
#Writing to .binp
np.uint32(X[0,0]).tofile(f)
np.float32(X[0,1:9]).tofile(f)
np.uint32(X[0,10]).tofile(f)
np.float32(Y[0,0:6]).tofile(f)
Matlab Code - Read file
fid = fopen(filepath);
X1(1,1) = fread(fid, 1, 'int32');
X2(1,1:9) = fread(fid, 9, 'float32');
X3(1,1) = fread(fid, 1, 'uint32');
n = nfacetrays(1,1)*6;
Y{1} = fread(fid, n, 'float32');
In the read file a value is missing
So basicaly in the X-header 0 and 1 or/and in the Y-header -2.5 are read incorrectly or one of them is missing because in the read Y-Header it starts with -1.5 instead of -2.5.
Any ideas? Where this mistake is coming from?
Change
np.float32(X[0,1:9]).tofile(f)
to
np.float32(X[0,1:10]).tofile(f)
The upper limit of the : is not inclusive.