alienl / reception_field_visualization

A tool for visual pixel's reception-field in Convolutional Neural Network.

reception_field_visualization

A visual tool for CNN feature map pixel reception field: Constructing the net by operators just like in deep-learning framewok. Then use Visualizer to generate the reception-field image of layer you wanted. A simple example can be find in main function.

Prerequisites

• opencv

Operator Supported

• conv(input_, kernel_size=3) : Standred Convolution Layer.
• dilated_conv(input_, rate=1) : Dilated Convolution Layer.

Visualizer

• rect_size: The Pixel num of Rect in Image.
• line_width: The Width of Separator Lines.
• visual(input_): Generate Visible Images and Show.
• save(path): Save Visible Images in 'path'.
• show(): Show Visible Images.

TODO

• User-defined conv stride.
• User-defined dilated_conv kernel size.