Update version number and fix formatting in calculations.py and logge…

…r.py

setup.py

@@ -2,7 +2,7 @@
 
 setup(
     name="tasnif",
-    version="0.1.9",
+    version="0.1.10",
     install_requires=[
         "numpy",
         "scikit-learn",

tasnif/calculations.py

@@ -2,6 +2,7 @@
 from img2vec_pytorch import Img2Vec
 from scipy.cluster.vq import kmeans2
 from sklearn.decomposition import PCA
+
 from .logger import info
 
 
@@ -67,7 +68,9 @@ def calculate_kmeans(pca_embeddings, num_classes, iter=10):
         )
 
     try:
-        centroid, labels = kmeans2(data=pca_embeddings, k=num_classes, minit="points", iter=iter)
+        centroid, labels = kmeans2(
+            data=pca_embeddings, k=num_classes, minit="points", iter=iter
+        )
         counts = np.bincount(labels)
         info("KMeans calculated.")
         return centroid, labels, counts

tasnif/logger.py

@@ -1,9 +1,13 @@
 import logging
+
 from rich.logging import RichHandler
 
 log_format = "%(asctime)s - %(levelname)s - %(message)s"
 logging.basicConfig(
-    level="INFO", format=log_format, datefmt="[%X]", handlers=[RichHandler(show_time=False, show_level=False)]
+    level="INFO",
+    format=log_format,
+    datefmt="[%X]",
+    handlers=[RichHandler(show_time=False, show_level=False)],
 )
 
 
@@ -15,6 +19,6 @@ def error(msg):
     logging.error(msg)
 
 
-if __name__ == '__main__':
+if __name__ == "__main__":
     info("info message")
     error("error message")

tasnif/tasnif.py

@@ -2,16 +2,18 @@
 import shutil
 import warnings
 from itertools import compress
+
 import numpy as np
 from tqdm import tqdm
+
 from .calculations import calculate_kmeans, calculate_pca, get_embeddings
+from .logger import error, info
 from .utils import (
     create_dir,
     create_image_grid,
     read_images_from_directory,
     read_with_pil,
 )
-from .logger import info, error
 
 warnings.filterwarnings("ignore")
 
@@ -52,15 +54,19 @@ def calculate(self, pca=True, iter=10):
         """
 
         if not self.images:
-            raise ValueError("The images list can not be empty. Please call the read method before calculating.")
+            raise ValueError(
+                "The images list can not be empty. Please call the read method before calculating."
+            )
 
         self.embeddings = get_embeddings(use_gpu=self.use_gpu, images=self.images)
         if pca:
             self.pca_embeddings = calculate_pca(self.embeddings, self.pca_dim)
-            self.centroid, self.labels, self.counts = calculate_kmeans(self.pca_embeddings, self.num_classes, iter = iter)
+            self.centroid, self.labels, self.counts = calculate_kmeans(
+                self.pca_embeddings, self.num_classes, iter=iter
+            )
         else:
             self.centroid, self.labels, self.counts = calculate_kmeans(
-                self.embeddings, self.num_classes, iter = iter
+                self.embeddings, self.num_classes, iter=iter
             )
 
     def export(self, output_folder="./"):
@@ -76,7 +82,6 @@ def export(self, output_folder="./"):
         create_dir(project_path)
 
         for label_number in tqdm(range(self.num_classes)):
-
             label_mask = self.labels == label_number
             path_images = list(compress(self.image_paths, label_mask))
             target_directory = os.path.join(project_path, f"cluster_{label_number}")
@@ -106,8 +111,12 @@ def export_embeddings(self, output_folder="./"):
         """
 
         if self.embeddings is None:
-            raise ValueError("Embeddings can not be empty. Please call the calculate method first.")
+            raise ValueError(
+                "Embeddings can not be empty. Please call the calculate method first."
+            )
 
-        embeddings_path = os.path.join(output_folder, f"{self.project_name}_embeddings.npy")
+        embeddings_path = os.path.join(
+            output_folder, f"{self.project_name}_embeddings.npy"
+        )
         np.save(embeddings_path, self.embeddings)
         info(f"Embeddings have been saved to {embeddings_path}")

tasnif/utils.py

@@ -1,9 +1,11 @@
 import glob
 import os
 from pathlib import Path
+
 import matplotlib.pyplot as plt
 from PIL import Image
 from tqdm import tqdm
+
 from .logger import info