I write a code in Tensorflow by using convolution neural network to detect the text from images. The images size is (128128).I used three conv layers with zero padding and three max_pool layer with window size of (22) and stride of 2.The last conv layer has '256' kernels, so the last layer before FC layer has (batch_size,16,16,256)shape.I did not complete my code because I do not know what should I do too. I am new in machine learning. so my question is:I know there is something call non maximum suppression (NMS), should I use it to determine the text in an images?? if the answer is no, how can I do that?? in other words (does the (1616) shape that I explained above enough for detection or localization)??
How can I detect the text from natural images using tensorflow?
deep learning;tensorflow