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hub / github.com/oarriaga/face_classification

github.com/oarriaga/face_classification @v1.0 sqlite

repository ↗ · DeepWiki ↗ · release v1.0 ↗
28 symbols 113 edges 9 files 4 documented · 14%
README

Face classification and detection

Real-time face detection and emotion/gender classification using fer2013/IMDB datasets with a keras CNN model and openCV. * IMDB gender classification test accuracy: 96%. * fer2013 emotion classification test accuracy: 66%.

Emotion/gender classification of the B-IT-BOTS robotics team :) alt tag

Emotion examples alt tag

Core symbols most depended-on inside this repo

preprocess_input
called by 6
src/utils.py
get_labels
called by 4
src/utils.py
simple_CNN
called by 2
src/models.py
_gray_scale
called by 2
src/image_generator.py
transform
called by 2
src/image_generator.py
flow
called by 2
src/image_generator.py
_wrap_in_dictionary
called by 2
src/image_generator.py
get_data
called by 2
src/data_loader.py

Shape

Method 18
Function 8
Class 2

Languages

Python100%

Modules by API surface

src/image_generator.py15 symbols
src/utils.py7 symbols
src/data_loader.py5 symbols
src/models.py1 symbols

Dependencies from manifests, versioned

h5py2.7.0 · 1×
keras2.0.3 · 1×
numpy1.12.1 · 1×
opencv2-python3.2.0 · 1×
pandas0.19.1 · 1×
tensorflow1.1.0 · 1×

For agents

$ claude mcp add face_classification \
  -- python -m otcore.mcp_server <graph>

⬇ download graph artifact