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Keras implementation of a CNN network for age and gender estimation
...Because the face images in the UTKFace dataset is tightly cropped (there is no margin around the face region), faces should also be cropped in demo.py if weights trained by the UTKFace dataset is used. Please set the margin argument to 0 for tight cropping. You can evaluate a trained model on the APPA-REAL (validation) dataset. We pose the age regression problem as a deep classification problem followed by a softmax expected value refinement and show improvements over direct regression training of CNNs. Our proposed method, Deep EXpectation (DEX) of apparent age, first detects the face in the test image and then extracts the CNN predictions from an ensemble of 20 networks on the cropped face.
(retrieving data from Multimeter and sound measurement data)
This library (the DLL), to work with a multimeter APPA-109N through physical or virtual COM port over USB in OS NT/2000/2003/XP/Vista/7/8, designed for querying, reading and decoding data measurements APPA WinDMM100 protocol 95/98 and sound measurement data.
DLL provides universal access for other applications, regardless of the language in the environment Win OS. DLL for use in their projects comply with the agreement on stdcall-calls.