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Detect human time spend infront of camera. Predict his/her emotion based on facial expression, eye movement, hand gesture infront of camera. Show the behavioural result in graphical format.

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adkharat/Human-Behaviour-analysis-using-OpenCV

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Human-Behaviour-analysis-using-OpenCV

Detect human time spend infront of camera. Predict his/her emotion based on facial expression, eye movement, hand gesture infront of camera. Show the behavioural result in graphical format.

Error Resolve

  1. CUDA Error

UnknownError: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above. [[node conv2d_1_1/convolution (defined at C:\Users\Ajay\Anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py:3009) ]] [Op:__inference_keras_scratch_graph_749]

Function call stack: keras_scratch_graph:

Solution: -

import tensorflow as tf config = tf.compat.v1.ConfigProto() config.gpu_options.allow_growth = True sess = tf.compat.v1.Session(config=config)


  1. OpneCL error OpenCL error CL_MEM_OBJECT_ALLOCATION_FAILURE (-4)

solution : - Disable OpenCL

cv2.ocl.setUseOpenCL(False) #export OPENCV_OPENCL_DEVICE=disabled

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Detect human time spend infront of camera. Predict his/her emotion based on facial expression, eye movement, hand gesture infront of camera. Show the behavioural result in graphical format.

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