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Read binary blob file from C3D (Python). Based on: https://github.com/facebook/C3D/blob/master/examples/c3d_feature_extraction/script/read_binary_blob_preserve_shape.m
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def read_binary_blob(filename): | |
# | |
# Read binary blob file from C3D | |
# INPUT | |
# filename : input filename. | |
# | |
# OUTPUT | |
# s : a 1x5 matrix indicates the size of the blob | |
# which is [num channel length height width]. | |
# blob : a 5-D tensor size num x channel x length x height x width | |
# containing the blob data. | |
# read_status : a scalar value = 1 if sucessfully read, 0 otherwise. | |
# precision is set to 'single', used by C3D | |
# open file and read size and data buffer | |
# [s, c] = fread(f, [1 5], 'int32'); | |
read_status = 1 | |
blob = collections.namedtuple('Blob', ['size', 'data']) | |
f = open(filename, 'rb') | |
s = array.array("i") # int32 | |
s.fromfile(f, 5) | |
if len(s) == 5 : | |
m = s[0]*s[1]*s[2]*s[3]*s[4] | |
# [data, c] = fread(f, [1 m], precision) | |
data_aux = array.array("f") | |
data_aux.fromfile(f, m) | |
data = np.array(data_aux.tolist()) | |
if len(data) != m: | |
read_status = 0; | |
else: | |
read_status = 0; | |
# If failed to read, set empty output and return | |
if not read_status: | |
s = [] | |
blob_data = [] | |
b = blob(s, blob_data) | |
return s, b, read_status | |
# reshape the data buffer to blob | |
# note that MATLAB use column order, while C3D uses row-order | |
# blob = zeros(s(1), s(2), s(3), s(4), s(5), Float); | |
blob_data = np.zeros((s[0], s[1], s[2], s[3], s[4]), np.float32) | |
off = 0 | |
image_size = s[3]*s[4] | |
for n in range(0, s[0]): | |
for c in range(0, s[1]): | |
for l in range(0, s[2]): | |
# print n, c, l, off, off+image_size | |
tmp = data[np.array(range(off, off+image_size))]; | |
blob_data[n][c][l][:][:] = tmp.reshape(s[3], -1); | |
off = off+image_size; | |
b = blob(s, blob_data) | |
f.close() | |
return s, b, read_status |
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