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Changed structure to check/remove method pair

feature/load_slices
Gabriele Girelli 4 years ago
committed by GitHub
parent
commit
1dd4827a6b
1 changed files with 14 additions and 12 deletions
  1. +14
    -12
      nd2reader/parser.py

+ 14
- 12
nd2reader/parser.py View File

@ -247,27 +247,28 @@ class Parser(object):
"""
return {channel: n for n, channel in enumerate(self.metadata["channels"])}
def _find_unwanted_bytes(self, image_group_data, image_data_start, height, width):
def _check_unwanted_bytes(self, image_group_data, image_data_start, height, width):
number_of_true_channels = int(len(image_group_data[4:]) / (height * width))
n_unwanted_bytes = (len(image_group_data[image_data_start:]))%(height*width)
if not n_unwanted_bytes:
return n_unwanted_bytes
return False
assert 0 == n_unwanted_bytes % height, "Unexpected unwanted bytes distribution."
return n_unwanted_bytes
byte_ids = range(image_data_start+height*number_of_true_channels, len(image_group_data)-n_unwanted_bytes+1, height*number_of_true_channels)
all_zero_bytes = all([0 == image_group_data[byte_ids[i]+i] for i in range(len(byte_ids))])
if not all_zero_bytes:
warnings.warn(f'Identified {n_unwanted_bytes} unwanted non-zero bytes in the ND2 file.')
return all_zero_bytes
def _remove_unwanted_bytes(self, image_group_data, image_data_start, height, width):
# Remove unwanted 0-bytes that can appear in stitched images
n_unwanted_bytes = self._find_unwanted_bytes(image_group_data, image_data_start, height, width)
number_of_true_channels = int(len(image_group_data[4:]) / (height * width))
n_unwanted_bytes = (len(image_group_data[image_data_start:]))%(height*width)
unwanted_byte_per_step = n_unwanted_bytes // height
byte_ids = range(image_data_start+height*number_of_true_channels, len(image_group_data)-n_unwanted_bytes+1, height*number_of_true_channels)
if all([0 == image_group_data[byte_ids[i]+i] for i in range(len(byte_ids))]):
warnings.warn(f'Identified {n_unwanted_bytes} ({unwanted_byte_per_step}*{height}) unwanted zero-bytes in the ND2 file, removed.')
for i in range(len(byte_ids)):
del image_group_data[byte_ids[i]:(byte_ids[i]+unwanted_byte_per_step)]
else:
warnings.warn(f'Identified {n_unwanted_bytes} unwanted non-zero bytes in the ND2 file.')
warnings.warn(f'Identified {n_unwanted_bytes} ({unwanted_byte_per_step}*{height}) unwanted zero-bytes in the ND2 file, removed.')
for i in range(len(byte_ids)):
del image_group_data[byte_ids[i]:(byte_ids[i]+unwanted_byte_per_step)]
def _get_raw_image_data(self, image_group_number, channel_offset, height, width):
"""Reads the raw bytes and the timestamp of an image.
@ -294,7 +295,8 @@ class Parser(object):
# of a four image group will be composed of bytes 2, 6, 10, etc. If you understand why someone would design
# a data structure that way, please send the author of this library a message.
number_of_true_channels = int(len(image_group_data[4:]) / (height * width))
self._remove_unwanted_bytes(image_group_data, image_data_start, height, width)
if self._check_unwanted_bytes(image_group_data, image_data_start, height, width):
self._remove_unwanted_bytes(image_group_data, image_data_start, height, width)
try:
image_data = np.reshape(image_group_data[image_data_start::number_of_true_channels], (height, width))
except ValueError:


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