Python filter_label_saveToFile Beispiele

Beispiel #1

Datei: parallel_pipeline_pleiades.py Projekt: AlexanderPhysics/NASA

def process_image(file_name):
    new_feat_objects = extract_features_script.extract_features_from_images(image_path,trans_image_path,feature_results_path, file_name)
    noaa_data = extract_features_script.load_noaa_data(noaa_home)
    extract_features_script.filter_label_saveToFile(new_feat_objects, db_path,  noaa_data)

Beispiel #2

Datei: series_run.py Projekt: AlexanderPhysics/NASA

import sunspot_feature_extraction
import extract_features_script
import Centroid_Labeling
import extract_image_features

# navagate to image location
#image_path = "/Users/Alexander/NASA/NASA_Sample_Data/Images/"
image_path = "/Users/Alexander/NASA/NASA_Sample_Data/HMI_Alexander/"
# load file names
file_names = []
for filename in os.listdir(image_path):
    if "ds_store" not in filename.lower():
        file_names.append(filename) 

file_name = "HMI.m2011.01.17_00_00_00.fits"

start = time()
new_feat_objects = extract_features_script.extract_features_from_images(image_path, file_name)
end = time()
print "Time Elapsed = {}".format(end - start)

print "new_feat_object ", new_feat_objects

print "\n load noaa data..."
noaa_home = "/Users/Alexander/NASA/noaa_data/"
noaa_data = extract_features_script.load_noaa_data(noaa_home)

print "running filter_label_saveToFile..."
db_path = "/Users/Alexander/NASA/Database/"
extract_features_script.filter_label_saveToFile(new_feat_objects, db_path, noaa_data)