Loading bin/socet2isis +1 −5 Original line number Diff line number Diff line Loading @@ -34,10 +34,6 @@ def main(args): else: outpath = os.path.split(at_file)[0] # with open(args.cub_ipf_map) as cub_ipf_map: # reader = csv.reader(cub_ipf_map, delimiter = ',') # image_dict = dict([(row[0], row[1]) for row in reader]) # Read in and setup the atf dict of information atf_dict = read_atf(at_file) Loading plio/spatial/transformations.py +53 −5 Original line number Diff line number Diff line Loading @@ -317,12 +317,24 @@ def apply_isis_transformations(df, eRadius, pRadius, serial_dict, extension, cub Parameters ---------- atf_dict : dict Dictionary containing information from an atf file df : object Pandas dataframe object eRadius : float Equitorial radius pRadius : float Polar radius serial_dict : dict Dictionary mapping serials as keys to images as the values extension : str String extension of all cubes being used cub_path : str Path to all cubes being used """ # Convert from geocentered coords (x, y, z), to lat lon coords (latitude, longitude, alltitude) ecef = np.array([[df['long_X_East']], [df['lat_Y_North']], [df['ht']]]) Loading Loading @@ -521,16 +533,52 @@ def reverse_known(record): return 3 def fix_sample_line(record, serial_dict, extension, cub_path): """ Extracts the sample, line data from a cube and computes deviation from the center of the image Parameters ---------- record : dict Dict containing the key serialnumber, l., and s. serial_dict : dict Maps serial numbers to images extension : str Extension for cube being looked at cub_path : str Path to a given cube being looked at Returns ------- new_line : int new line deviation from the center new_sample : int new sample deviation from the center """ # Cube location to load cube = pvl.load(os.path.join(cub_path, serial_dict[record['serialnumber']] + extension)) line_size = find_in_dict(cube, 'Lines') sample_size = find_in_dict(cube, 'Samples') new_line = record['l.'] - (int(line_size)/2.0) - 1 new_sample = record['s.'] - (int(sample_size)/2.0) - 1 new_line = record['l.'] - (int(line_size/2.0)) - 1 new_sample = record['s.'] - (int(sample_size/2.0)) - 1 return new_line, new_sample def ignore_toggle(record): """ Maps the stat column in a record to 0 or 1 based on True or False Parameters ---------- record : dict Dict containing the key stat """ if record['stat'] == True: return 0 else: Loading Loading
bin/socet2isis +1 −5 Original line number Diff line number Diff line Loading @@ -34,10 +34,6 @@ def main(args): else: outpath = os.path.split(at_file)[0] # with open(args.cub_ipf_map) as cub_ipf_map: # reader = csv.reader(cub_ipf_map, delimiter = ',') # image_dict = dict([(row[0], row[1]) for row in reader]) # Read in and setup the atf dict of information atf_dict = read_atf(at_file) Loading
plio/spatial/transformations.py +53 −5 Original line number Diff line number Diff line Loading @@ -317,12 +317,24 @@ def apply_isis_transformations(df, eRadius, pRadius, serial_dict, extension, cub Parameters ---------- atf_dict : dict Dictionary containing information from an atf file df : object Pandas dataframe object eRadius : float Equitorial radius pRadius : float Polar radius serial_dict : dict Dictionary mapping serials as keys to images as the values extension : str String extension of all cubes being used cub_path : str Path to all cubes being used """ # Convert from geocentered coords (x, y, z), to lat lon coords (latitude, longitude, alltitude) ecef = np.array([[df['long_X_East']], [df['lat_Y_North']], [df['ht']]]) Loading Loading @@ -521,16 +533,52 @@ def reverse_known(record): return 3 def fix_sample_line(record, serial_dict, extension, cub_path): """ Extracts the sample, line data from a cube and computes deviation from the center of the image Parameters ---------- record : dict Dict containing the key serialnumber, l., and s. serial_dict : dict Maps serial numbers to images extension : str Extension for cube being looked at cub_path : str Path to a given cube being looked at Returns ------- new_line : int new line deviation from the center new_sample : int new sample deviation from the center """ # Cube location to load cube = pvl.load(os.path.join(cub_path, serial_dict[record['serialnumber']] + extension)) line_size = find_in_dict(cube, 'Lines') sample_size = find_in_dict(cube, 'Samples') new_line = record['l.'] - (int(line_size)/2.0) - 1 new_sample = record['s.'] - (int(sample_size)/2.0) - 1 new_line = record['l.'] - (int(line_size/2.0)) - 1 new_sample = record['s.'] - (int(sample_size/2.0)) - 1 return new_line, new_sample def ignore_toggle(record): """ Maps the stat column in a record to 0 or 1 based on True or False Parameters ---------- record : dict Dict containing the key stat """ if record['stat'] == True: return 0 else: Loading
