def get_target_filename_portion(red_lbl_file, green_lbl_file, blue_lbl_file):
target_red = info.get_target(red_lbl_file)
target_green = info.get_target(green_lbl_file)
target_blue = info.get_target(blue_lbl_file)
targets = np.unique([target_red, target_green, target_blue])
return "_".join(targets)
def output_filename(file_name):
dirname = os.path.dirname(file_name)
if len(dirname) > 0:
dirname += "/"
target = info.get_target(file_name)
filter1, filter2 = info.get_filters(file_name)
image_time = info.get_image_time(file_name)
spacecraft = info.get_spacecraft_name(file_name)
image_id = file_name[:file_name.index(".")]
camera = info.get_instrument_id(file_name)
if camera is not None and len(camera) > 0:
camera = "NAC" if camera == "NARROW_ANGLE_CAMERA" else "WAC"
else:
camera = "UNK"
sc = "Vg1" if spacecraft == "VOYAGER_1" else "Vg2"
out_file = "{dirname}{image_id}_{spacecraft}_{camera}_{target}_{filter1}_{image_date}".format(
dirname=dirname,
image_id=image_id,
spacecraft=sc,
camera=camera,
target=target,
filter1=filter1,
image_date=image_time.strftime('%Y-%m-%d_%H.%M.%S'))
return out_file
def match(files, targets, filters, require_width, require_height, band=-1):
matching_files = []
for f in files:
if f[-3:].upper() != "CUB":
print("File %s is not supported, skipping" % f)
continue
target = None
try:
target = info.get_target(f)
except:
pass
filter1, filter2 = None, None
try:
filter1, filter2 = info.get_filters(f)
except:
pass
width = info.get_num_line_samples(f)
height = info.get_num_lines(f)
if len(targets) > 0 and target.upper() not in targets:
continue
elif len(filters) > 0 and (filter1.upper() not in filters and filter2.upper() not in filters):
continue
elif len(require_width) > 0 and str(width) not in require_width:
continue
elif len(require_height) > 0 and str(height) not in require_height:
continue
else:
matching_files.append(f)
values = []
for f in matching_files:
_min, _max = mathandstats.get_data_min_max(f, band)
values.append(_min)
values.append(_max)
print(_min, _max)
minimum = np.min(values)
maximum = np.max(values)
print("Minimun:", minimum, "Maximum:", maximum)
# maximum -= ((maximum - minimum) * 0.45)
# minimum += ((maximum - minimum) * 0.35)
for f in matching_files:
totiff = f[:-4] + ".tif"
print(totiff)
importexport.isis2std_grayscale(f, totiff, minimum=minimum, maximum=maximum, band=band)
def output_filename(file_name):
dirname = os.path.dirname(file_name)
if len(dirname) > 0:
dirname += "/"
product_id = str(info.get_product_id(file_name)).replace("+", "_")
target = info.get_target(file_name)
filter1, filter2 = info.get_filters(file_name)
image_time = info.get_image_time(file_name)
image_id = file_name[:file_name.index(".")]
out_file = "{dirname}{image_id}_{product_id}_{target}_{filter1}_{image_date}".format(dirname=dirname,
image_id=image_id,
product_id=product_id,
target=target,
filter1=filter1,
image_date=image_time.strftime('%Y-%m-%d_%H.%M.%S'))
return out_file
def output_filename(file_name):
dirname = os.path.dirname(file_name)
if len(dirname) > 0:
dirname += "/"
product_id = info.get_product_id(file_name)
target = info.get_target(file_name)
filter1, filter2 = info.get_filters(file_name)
image_time = info.get_image_time(file_name)
out_file = "{dirname}{product_id}_{target}_{filter1}_{filter2}_{image_date}".format(
dirname=dirname,
product_id=product_id[2:-4],
target=target,
filter1=filter1,
filter2=filter2,
image_date=image_time.strftime('%Y-%m-%d_%H.%M.%S'))
return out_file
def printInfo(lbl_file_name):
target = info.get_target(lbl_file_name)
filter1, filter2 = info.get_filters(lbl_file_name)
image_time = info.get_image_time(lbl_file_name)
num_lines = info.get_num_lines(lbl_file_name)
num_line_samples = info.get_num_line_samples(lbl_file_name)
sample_bits = info.get_sample_bits(lbl_file_name)
instrument = info.get_instrument_id(lbl_file_name)
if instrument in ("ISSNA", "NARROW_ANGLE_CAMERA"):
camera = "Narrow"
elif instrument in ("ISSWA", "WIDE_ANGLE_CAMERA"):
camera = "Wide"
else:
camera = "NA"
print "%25s|%10s|%10s|%22s|%5s|%5s|%4s|%8s| %s" % (
target, filter1, filter2, image_time.strftime('%Y-%m-%d %H:%M:%S'),
num_lines, num_line_samples, sample_bits, camera, lbl_file_name)
use_fov = True
args = parser.parse_args()
source = args.data
fov = args.fov
pct = args.pct
if not os.path.exists(source):
print "Specified dataset %s not found" % source
sys.exit(1)
output_path = "%s_Simulated.jpg" % utils.output_filename(source)
image_time = info.get_image_time(source)
target = info.get_target(source).upper()
default_fov = 1
camera = info.get_instrument_id(source)
if camera == "ISSNA":
default_fov = 0.35
elif camera == "ISSWA":
default_fov = 3.5
if fov is None or fov < 1 or fov > 90:
fov = default_fov
if pct is not None:
use_fov = False
if pct is None or pct < 1 or pct > 100: