small updates

setup.cfg

@@ -5,7 +5,7 @@
 
 [metadata]
 name = face-projection
-description = Add a short description here!
+description = This projects main goal is to have a simple library to project information into faces while retaining the facial structure.
 author = Tim Büchner
 author_email = [email protected]
 license = MIT
@@ -15,21 +15,16 @@ long_description_content_type = text/markdown; charset=UTF-8; variant=GFM
 url = https://github.com/pyscaffold/pyscaffold/
 # Add here related links, for example:
 project_urls =
-    Documentation = https://pyscaffold.org/
-#    Source = https://github.com/pyscaffold/pyscaffold/
-#    Changelog = https://pyscaffold.org/en/latest/changelog.html
-#    Tracker = https://github.com/pyscaffold/pyscaffold/issues
-#    Conda-Forge = https://anaconda.org/conda-forge/pyscaffold
-#    Download = https://pypi.org/project/PyScaffold/#files
-#    Twitter = https://twitter.com/PyScaffold
+    Source = https://github.com/cvjena/face-projection
+    Tracker = https://github.com/cvjena/face-projection/issues
 
 # Change if running only on Windows, Mac or Linux (comma-separated)
 platforms = any
 
 # Add here all kinds of additional classifiers as defined under
 # https://pypi.org/classifiers/
 classifiers =
-    Development Status :: 4 - Beta
+    Development Status :: 5 - Production/Stable
     Programming Language :: Python
 
 
@@ -51,8 +46,8 @@ install_requires =
     numpy
     meshpy
     opencv-python-headless
-    mediapipe; platform_system != "Darwin" or platform.machine != "arm64"
-    mediapipe-silicon; platform_system == "Darwin" and platform.machine == "arm64"
+    mediapipe==0.9.3.0; platform_system != "Darwin" or platform.machine != "arm64"
+    mediapipe-silicon==0.9.2.1; platform_system == "Darwin" and platform.machine == "arm64"
 
 [options.packages.find]
 where = src
@@ -70,17 +65,6 @@ testing =
     pytest
     pytest-cov
 
-[options.entry_points]
-# Add here console scripts like:
-# console_scripts =
-#     script_name = face_projection.module:function
-# For example:
-# console_scripts =
-#     fibonacci = face_projection.skeleton:run
-# And any other entry points, for example:
-# pyscaffold.cli =
-#     awesome = pyscaffoldext.awesome.extension:AwesomeExtension
-
 [tool:pytest]
 # Specify command line options as you would do when invoking pytest directly.
 # e.g. --cov-report html (or xml) for html/xml output or --junitxml junit.xml

src/face_projection/core.py

@@ -136,7 +136,7 @@ def apply(
             raise TypeError("beta must be a float between 0 and 1")
 
         if not self.face_model.check_valid(img_data):
-            raise ValueError(f"img_dat is not valid for the face model, expected shape: [{self.face_model.height, self.face_model.width, 3}]")
+            raise ValueError(f"img_dat is not valid for the face model, expected shape: [{self.face_model.height, self.face_model.width, 3}], got: {img_data.shape}")
 
         if lms_face is None:
             self.get_landmarks(img_face)