ChildVE is a human-in-the-loop intelligence agent for evaluating the visual acuity of children.

Please feel free to contact us for any questions or comments: Kai Zhang, E-mail: Hugo88315@163.com.

All codes for deep-learning convolutional neural networks were executed in the Caffe (Convolutional Architecture for Fast Feature Embedding) framework with Ubuntu 16.04 64bit + CUDA (Compute Unified Device Architecture).

The codes for Faster-RCNN were executed in the Caffe (Convolutional Architecture for Fast Feature Embedding) framework with Ubuntu 16.04 64bit + CUDA (Compute Unified Device Architecture). Please refer to https://github.com/rbgirshick/py-faster-rcnn to obtain Faster-RCNN and the specification of it.