def copy(all_metadata, wb, tone, source, destinations):
source_header = read_header(source)
ensure_minimal_software_version(source_header, source, 709)
for d in destinations:
dest_header = read_header(d)
ensure_minimal_software_version(dest_header, d, 709)
if wb or all_metadata:
click.echo(f"Temp: {source_header['setup'].fWBTemp}")
click.echo(f"CC: {source_header['setup'].fWBCc}")
dest_header["setup"].fWBTemp = source_header["setup"].fWBTemp
dest_header["setup"].fWBCc = source_header["setup"].fWBCc
dest_header["setup"].cmCalib = source_header["setup"].cmCalib
dest_header["setup"].WBGain = source_header["setup"].WBGain
if tone or all_metadata:
tone_label = source_header["setup"].ToneLabel.decode("ascii")
tone_points = list(source_header["setup"].fTone
)[:source_header["setup"].TonePoints * 2]
click.echo(
f"Tone points: {tone_label} {' '.join([str(p) for p in tone_points])}"
)
dest_header["setup"].ToneLabel = source_header["setup"].ToneLabel
dest_header["setup"].TonePoints = source_header["setup"].TonePoints
dest_header["setup"].fTone = source_header["setup"].fTone
click.secho(f"Writing metadata to {d}.", fg="green")
write_header(d, dest_header)
def main():
'''Convert cine file to frames and save them in a .npz file.'''
for dataset in DATASET:
if dataset == 'Globular':
video_name = '11-12-06_GMAW CV High V Globular - 175 ipm WFS, 33V, 85-15CO2, 20 ipm travel'
elif dataset == 'Spray':
video_name = '11-12-06_GMAW CV Spray - 400 ipm WFS, 35V, 85-15CO2, 20 ipm travel'
video_path = os.path.join('Data', 'Video', 'CINE',
video_name + '.cine')
total_frames = read_header(video_path)["cinefileheader"].ImageCount
save_folder = os.path.join('Data', 'Image', 'Input', dataset.lower())
n_frames = total_frames
data_rgb = []
data_gray = []
for i in progress(range(n_frames)):
# read each frame from .cine file as an ndarray
rgb_image, _ = display_frames(video_path, start_frame=i + 1)
rgb_image[np.isnan(rgb_image)] = 0
gray_image = rgb2gray(rgb_image)
# Convert from float to uint8
rgb_image = normalizeuint8(rgb_image)
gray_image = normalizeuint8(gray_image)
data_rgb.append(rgb_image)
data_gray.append(gray_image)
data_rgb = np.array(data_rgb)
data_gray = np.array(data_gray)
np.savez_compressed(save_folder + '_rgb', images=data_rgb)
np.savez_compressed(save_folder + '_gray', images=data_gray)
def show(clips):
for cine_file in clips:
try:
source_header = read_header(cine_file)
ensure_minimal_software_version(source_header, cine_file, 709)
show_metadata(source_header, cine_file)
except Exception as e:
click.echo(f"Could not read {cine_file}:")
click.echo(e)
click.echo()
def read_frames(cine_file, start_frame=1, count=None):
header = read_header(cine_file)
if header["bitmapinfoheader"].biCompression:
bpp = 12
else:
bpp = header["setup"].RealBPP
raw_images = frame_reader(cine_file,
header,
start_frame=start_frame,
count=count)
return raw_images, header["setup"], bpp
def image_generator(cine_file: Union[str, bytes, PathLike],
start_frame: int = None,
start_frame_cine: int = None,
count: int = None) -> Generator[np.ndarray, Any, None]:
"""
Get only a generator of raw images for specified cine file.
Parameters
----------
cine_file : str or file-like object
A string containing a path to a cine file
start_frame : int
First image in a pile of images in cine file.
If 0 is given, it means the first frame of the saved images would be read in this function.
Only start_frame or start_frame_cine should be specified.
If both are specified, raise ValueError.
start_frame_cine : int
First image in a pile of images in cine file.
This number corresponds to the frame number in Phantom Camera Control (PCC) application.
Only start_frame or start_frame_cine should be specified.
If both are specified, raise ValueError.
count : int
maximum number of frames to get.
Returns
-------
raw_image_generator : generator
A generator for raw image
"""
header = read_header(cine_file)
if start_frame and start_frame_cine:
raise ValueError(
"Do not specify both of start_frame and start_frame_cine")
elif not start_frame and not start_frame_cine:
fetch_head = 1
elif start_frame:
fetch_head = start_frame
elif start_frame_cine:
first_image_number = header["cinefileheader"].FirstImageNo
last_image_number = first_image_number + header[
"cinefileheader"].ImageCount - 1
fetch_head = start_frame_cine - first_image_number
if fetch_head < 0:
raise ValueError(
f"Cannot read frame {start_frame_cine:d}. This cine has only from {first_image_number:d} to {last_image_number:d}."
)
raw_image_generator = frame_reader(cine_file,
header,
start_frame=fetch_head,
count=count)
return raw_image_generator
def image_generator(cine_file,
start_frame=False,
start_frame_cine=False,
count=None):
"""
Get only a generator of raw images for specified cine file.
Parameters
----------
cine_file : str or file-like object
A string containing a path to a cine file
start_frame : int
First image in a pile of images in cine file.
If 0 is given, it means the first frame of the saved images would be readed in this function.
Only start_frame or start_frame_cine should be specified.
If both are specified, raise ValueError.
start_frame_cine : int
First image in a pile of images in cine file.
This number corresponds to the frame number in Phantom Camera Control (PCC) application.
Only start_frame or start_frame_cine should be specified.
If both are specified, raise ValueError.
count : int
maximum number of frames to get.
Returns
-------
raw_image_generator : generator
A generator for raw image
"""
header = read_header(cine_file)
if type(start_frame) == int and type(start_frame_cine) == int:
raise ValueError(
"Do not specify both of start_frame and start_frame_cine")
elif start_frame == False and start_frame_cine == False:
fetch_head = 1
elif type(start_frame) == int:
fetch_head = start_frame
elif type(start_frame_cine) == int:
numfirst = header["cinefileheader"].FirstImageNo
numlast = numfirst + header["cinefileheader"].ImageCount - 1
fetch_head = start_frame_cine - numfirst
if fetch_head < 0:
strerr = "Cannot read frame %d. This cine has only from %d to %d."
raise ValueError(strerr % (start_frame_cine, numfirst, numlast))
raw_image_generator = frame_reader(cine_file,
header,
start_frame=fetch_head,
count=count)
return raw_image_generator
def __init__(self,
cine_file,
header=None,
start_index=0,
count=None,
post_processing=None):
"""
Create an object for reading frames from a cine file. It can either be used to get specific frames with __getitem__ or as an iterator.
Parameters
----------
cine_file : str or file-like object
A string containing a path to a cine file
header : dict (optional)
A dictionary contains header information of the cine file
start_index : int
First image in a pile of images in cine file. Only used with the iterator in the object.
count : int
Maximum number of frames to get if this object is used as an iterator.
post_processing : function
Function that takes one image parameter and returns a new processed image
If provided this function will be applied to the raw image before returning.
Returns
-------
the created object
"""
self.cine_file = cine_file
self.cine_file_stream = open(cine_file, "rb")
self.post_processing = post_processing
if header is None:
header = read_header(cine_file)
self.header = header
self.start_index = start_index
self.i = self.start_index
self.full_size = self.header["cinefileheader"].ImageCount
if not count:
count = self.full_size - self.start_index
self.end_index = self.start_index + count
if self.end_index > self.full_size:
raise ValueError(
"end_index {} is larger than the maximum {}".format(
self.end_index, self.full_size))
self.size = count
def set_(destinations, temp, cc, record_fps, playback_fps, timecode_fps, tone,
first_frame_number):
for d in destinations:
dest_header = read_header(d)
ensure_minimal_software_version(dest_header, d, 709)
if temp:
click.secho(
"WARNING: This does not yet change the calibration matrix.",
fg="red")
dest_header["setup"].fWBTemp = temp
if cc:
click.secho(
"WARNING: This does not yet change the calibration matrix.",
fg="red")
dest_header["setup"].fWBCc = cc
if tone:
tone_label, tone_points, tone = parse_tone(tone)
dest_header["setup"].ToneLabel = bytes(tone_label, "ascii")
dest_header["setup"].TonePoints = tone_points
dest_header["setup"].fTone = tone
if record_fps:
dest_header["setup"].FrameRate = record_fps
if playback_fps:
dest_header["setup"].fPbRate = _parse_fps(playback_fps)
if timecode_fps:
dest_header["setup"].fTcRate = _parse_fps(timecode_fps)
if first_frame_number is not None:
dest_header["cinefileheader"].FirstImageNo = first_frame_number
if any([
temp, cc, record_fps, playback_fps, timecode_fps, tone,
first_frame_number is not None
]):
click.secho(f"Writing metadata to {d}.", fg="green")
write_header(d, dest_header)
def read_frames(
cine_file: Union[str, bytes, PathLike],
start_frame: int = None,
start_frame_cine: int = None,
count: int = None
) -> Tuple[Generator[np.ndarray, Any, None], SETUP, int]:
"""
Get a generator of raw images for specified cine file.
Parameters
----------
cine_file : str or file-like object
A string containing a path to a cine file
start_frame : int
First image in a pile of images in cine file.
If 0 is given, it means the first frame of the saved images would be read in this function.
Only start_frame or start_frame_cine should be specified.
If both are specified, raise ValueError.
start_frame_cine : int
First image in a pile of images in cine file.
This number corresponds to the frame number in Phantom Camera Control (PCC) application.
Only start_frame or start_frame_cine should be specified.
If both are specified, raise ValueError.
count : int
maximum number of frames to get.
Returns
-------
raw_image_generator : generator
A generator for raw image
setup : pycine.cine.tagSETUP class
A class contains setup data of the cine file
bpp : int
Bit depth of the raw images
"""
header = read_header(cine_file)
bpp = read_bpp(header)
setup = header["setup"]
raw_image_generator = image_generator(cine_file, start_frame,
start_frame_cine, count)
return raw_image_generator, setup, bpp