Unlinted changes

.vscode/settings.json

@@ -9,5 +9,7 @@
   "python.formatting.provider": "black",
   "python.formatting.blackArgs": ["--line-length=100"],
   "editor.fontWeight": "normal",
-  "python.analysis.extraPaths": ["./deepface"]
+  "python.analysis.extraPaths": ["./deepface"],
+  "stylelint.autoFixOnSave": false,
+  "standard.autoFixOnSave": false
 }

deepface/DeepFace.py

@@ -41,7 +41,6 @@ if tf_version == 2:
 
 
 def build_model(model_name):
-
     """
     This function builds a deepface model
     Parameters:
@@ -96,7 +95,6 @@ def verify(
     align=True,
     normalization="base",
 ):
-
     """
     This function verifies an image pair is same person or different persons. In the background,
     verification function represents facial images as vectors and then calculates the similarity
@@ -235,9 +233,8 @@ def analyze(
     align=True,
     silent=False,
 ):
-
     """
-    This function analyzes facial attributes including age, gender, emotion and race.
+    This function analyze facial attributes including age, gender, emotion and race.
     In the background, analysis function builds convolutional neural network models to
     classify age, gender, emotion and race of the input image.
 
@@ -300,6 +297,16 @@ def analyze(
         actions = (actions,)
 
     actions = list(actions)
+
+    if not actions:
+        raise ValueError("`actions` must be a list of strings.")
+
+    for action in actions:
+        if action not in ("emotion", "age", "gender", "race"):
+            raise ValueError(
+                f"Invalid action passed ({action})). "
+                "Valid actions are `emotion`, `age`, `gender`, `race`."
+            )
     # ---------------------------------
     # build models
     models = {}
@@ -398,7 +405,6 @@ def find(
     normalization="base",
     silent=False,
 ):
-
     """
     This function applies verification several times and find the identities in a database
 
@@ -448,7 +454,6 @@ def find(
     file_name = file_name.replace("-", "_").lower()
 
     if path.exists(db_path + "/" + file_name):
-
         if not silent:
             print(
                 f"WARNING: Representations for images in {db_path} folder were previously stored"
@@ -616,7 +621,6 @@ def represent(
     align=True,
     normalization="base",
 ):
-
     """
     This function represents facial images as vectors. The function uses convolutional neural
     networks models to generate vector embeddings.
@@ -710,7 +714,6 @@ def stream(
     time_threshold=5,
     frame_threshold=5,
 ):
-
     """
     This function applies real time face recognition and facial attribute analysis
 
@@ -765,7 +768,6 @@ def extract_faces(
     align=True,
     grayscale=False,
 ):
-
     """
     This function applies pre-processing stages of a face recognition pipeline
     including detection and alignment