def open(self, image_filename, info_filename):
image = Image.open(image_filename)
# Read site info file
camera = {}
processing = {}
header = image.info
with open(info_filename, "r") as info_file:
for line in info_file: # read file line by line
if line.isspace():
continue # ignore blank lines
words = line.split("=") # split the line at the = sign
if len(words) != 2:
print("Error! allskyImagePlugins.DSLR_LYR.open(): Cannot read site info file, too many words per line")
sys.exit()
# store the values (minus white space) in a dictionary
camera[words[0].lstrip().rstrip()] = words[1].lstrip().rstrip()
# Read creation time from filename
filename = image.filename
creation_time = datetime.datetime.strptime(
filename.rstrip(".PPM"), "LYR-SLR-%Y%m%d_%H%M%S")
creation_time = creation_time.strftime("%d %b %Y %H:%M:%S %Z")
header = {'Wavelength': "Visible", 'Creation Time': creation_time}
info = {'header': header, 'camera': camera, 'processing': processing}
# return new allskyImage object
return allskyImage.allskyImage(image, image.filename, info)
def open(self,image_filename, info_filename):
image = Image.open(image_filename)
#read image header data
info=image.info
#Read site info file
camera={}
processing={}
header=image.info.copy() #copy header data stored in image
with open(info_filename,"r") as info_file:
for line in info_file: #read file line by line
if line.isspace():
continue #ignore blank lines
words=line.split("=") #split the line at the = sign
if len(words) != 2:
print("Error! allskyImagePlugins.UiO_Allsky_LYR.open(): Cannot read site info file, too many words per line")
sys.exit()
camera[words[0].lstrip().rstrip()] = words[1].lstrip().rstrip() #store the values (minus white space) in a dictionary
#create a dictionary containing all the metadata
info={'header':header,'camera':camera,'processing':processing}
#return new allskyImage object
return allskyImage.allskyImage(image,image.filename,info)
def open(self, image_filename, info_filename):
from PASKIL import allskyImage
"""
Returns an allskyImage object containing the image data and image metadata contained in 'image_filename'.
"""
image = Image.open(image_filename)
# read image header data
info = image.info
# load the metadata from the image header data
camera = eval(info["camera"])
processing = eval(info["processing"])
header = eval(info["header"])
try:
exif = eval(info["exif"])
del info["exif"]
except KeyError:
exif = {}
del info["camera"]
del info["processing"]
del info["header"]
# create a dictionary containing all the metadata
info = {"header": header, "camera": camera, "processing": processing, "exif": exif}
# return new allskyImage object
return allskyImage.allskyImage(image, image.filename, info)
def open(self, image_filename, info_filename):
image = Image.open(image_filename)
with open(info_filename, "r") as info_file:
camera = {}
processing = {}
header = image.info.copy()
# check that a site info file was specified
if info_file == None:
raise ValueError("You must specify a site information file for this type of image")
# check that the wavelength in the header matches the wavelength in
# the file extension
if image.filename.endswith(("r", "s", "t", "u", "v")) and header["Wavelength"] != "630.0nm":
raise ValueError("Wavelength in header does not match wavelength denoted by file extension")
if image.filename.endswith(("g", "h", "i", "j", "k")) and header["Wavelength"] != "557.7nm":
raise ValueError("Wavelength in header does not match wavelength denoted by file extension")
if image.filename.endswith(("b", "c", "d", "e", "f")) and header["Wavelength"] != "427.8nm":
raise ValueError("Wavelength in header does not match wavelength denoted by file extension")
# Read site info file
with open(info_filename, "r") as info_file:
for line in info_file: # read file line by line
if line.isspace():
continue # ignore blank lines
words = line.split("=") # split the line at the = sign
if len(words) != 2:
raise ValueError(
"Error! allskyImagePlugins.UiO_Allsky_PMIS.open(): Cannot read site info file, too many words per line"
)
# store the values (minus white space) in a dictionary
camera[words[0].lstrip().rstrip()] = words[1].lstrip().rstrip()
# convert the creation time data stored in the PMIS header into the
# PASKIL format
try:
creation_time = datetime.datetime.strptime(header["Creation Time"], "%Y-%m-%d_%H:%M:%S")
except:
# different date format for 1997
creation_time = datetime.datetime.strptime(header["Creation Time"], "%Y-%m-%d_%H.%M.%S")
header["Creation Time"] = creation_time.strftime("%d %b %Y %H:%M:%S %Z")
info = {"header": header, "camera": camera, "processing": processing}
# return new allskyImage object
return allskyImage(image.convert("I"), image.filename, info)
def open(self, image_filename, info_filename):
from PASKIL import allskyImage
"""
Returns an allskyImage object containing the image data and image metadata contained in 'image_filename'.
"""
image = Image.open(image_filename)
exif_data = misc.readExifData(image_filename)
info_str = exif_data.pop("Exif.Photo.UserComment")
info = eval(info_str)
info["exif"] = exif_data
# return new allskyImage object
return allskyImage.allskyImage(image, image.filename, info)
def open(self, image_filename, info_filename):
"""
Returns a PASKIL allskyImage object containing the image data and its
associated meta-data.
"""
image = Image.open(image_filename)
with open(info_filename, "rb") as fp:
info = pickle.load(fp)
# attempt to load the exif data
try:
info['exif'] = misc.readExifData(image_filename)
except:
print("Couldn't read the exif")
pass
# return new allskyImage object
return allskyImage.allskyImage(image, image.filename, info)
def open(self, image_filename, info_filename):
from PASKIL import allskyImage
"""
Returns an allskyImage object containing the image data and image metadata contained in 'image'.
"""
header = {}
camera = {}
processing = {}
exif = {}
# open fits file using pyfits
hdulist = pyfits.open(image_filename)
# read header data locations from header
header_hdu = hdulist[hdulist[0].header["PSKHEAD"]]
camera_hdu = hdulist[hdulist[0].header["PSKCAM"]]
processing_hdu = hdulist[hdulist[0].header["PSKPRO"]]
exif_hdu = hdulist[hdulist[0].header["PSKEXIF"]]
# write image info dictionary
for i in range(header_hdu.data.size):
try:
header[header_hdu.data[i][0]] = eval(header_hdu.data[i][1])
except:
header[header_hdu.data[i][0]] = header_hdu.data[i][1]
for i in range(camera_hdu.data.size):
try:
camera[camera_hdu.data[i][0]] = eval(camera_hdu.data[i][1])
except:
camera[camera_hdu.data[i][0]] = camera_hdu.data[i][1]
for i in range(processing_hdu.data.size):
try:
processing[processing_hdu.data[i][0]] = eval(processing_hdu.data[i][1])
except:
processing[processing_hdu.data[i][0]] = processing_hdu.data[i][1]
for i in range(exif_hdu.data.size):
try:
exif[exif_hdu.data[i][0]] = eval(exif_hdu.data[i][1])
except:
exif[exif_hdu.data[i][0]] = exif_hdu.data[i][1]
info = {"header": header, "camera": camera, "processing": processing, "exif": exif}
mode = hdulist[0].header["PSKMODE"]
# load image data
image_data = hdulist[0].data
if mode != "RGB":
# need to flip image as it is read in upside down
new_image = ImageOps.flip(Image.fromarray(image_data))
else:
# read in separate RGB channels and then combine them into one
# image
red_image = Image.fromarray(image_data[0])
green_image = Image.fromarray(image_data[1])
blue_image = Image.fromarray(image_data[2])
new_image = ImageOps.flip(Image.merge("RGB", [red_image, green_image, blue_image]))
return allskyImage.allskyImage(new_image, image_filename, info)