updte example for whash-haar

undouble/examples.py

@@ -4,6 +4,35 @@
 # print(undouble.__version__)
 
 # %% Check crop-resistant-hash
+
+# Import library
+from undouble import Undouble
+
+# Init with default settings
+model = Undouble()
+
+# Import example data
+targetdir = model.import_example(data='flowers')
+
+# Importing the files files from disk, cleaning and pre-processing
+model.import_data(targetdir)
+
+# Compute image-hash
+model.compute_hash(method='whash-haar', hash_size=31)
+
+results = model.group(threshold=5)
+
+# Plot the images
+model.plot()
+
+# Plot the hash
+model.plot_hash(filenames=model.results['filenames'][model.results['select_idx'][0]])
+
+import pandas as pd
+df = pd.DataFrame(index=[model.results['filenames']], data=model.results['img_hash_hex'], columns=['image_hash_hex'])
+
+# %% Check crop-resistant-hash
+
 # Import library
 from undouble import Undouble
 
@@ -20,7 +49,7 @@
 model.compute_hash(method='crop-resistant-hash')
 
 # Find images with image-hash <= threshold
-results = model.group(threshold=25)
+results = model.group(threshold=5)
 print(model.results.keys())
 model.results['select_pathnames'][0]
 model.results['select_idx'][0]