title: Faster RCNN for TensorFlow
body: <p>Has anyone implement the FRCNN for TensorFlow version?
  I found some related repos as following:</p>
  
  <ol>
  <li><a href="https://github.com/yuxng/tensorflow">Implement roi pool layer</a></li>
  <li><a href="https://github.com/ExonRen/tf-fast-rcnn">Implement fast RCNN based on py-faster-rcnn repo</a></li>
  </ol>
  
  <p>but for 1: assume the roi pooling layer works (I haven't tried), and there are something need to be implemented as following:</p>
  
  <ul>
  <li>ROI data layer e.g. <a href="https://github.com/rbgirshick/py-faster-rcnn/blob/master/lib/roi_data_layer/roidb.py">roidb</a>.</li>
  <li>Linear Regression e.g. <a href="https://github.com/rbgirshick/caffe-fast-rcnn/blob/0dcd397b29507b8314e252e850518c5695efbb83/src/caffe/layers/smooth_L1_loss_layer.cu">SmoothL1Loss</a></li>
  <li>ROI pool layer post-processing for end-to-end training which should convert the ROI pooling layer's results to feed into CNN for classifier.</li>
  </ul>
  
  <p>For 2: em...., it seems based on py-faster-rcnn which based on Caffe to prepared pre-processing (e.g. roidb) and feed data into Tensorflow to train the model, it seems weird, so I may not tried it.</p>
  
  <p>So what I want to know is that, will <a href="https://github.com/tensorflow/tensorflow/issues/739">Tensorflow support Faster RCNN in the future</a>?. If not, do I have any mis-understand which mentioned above? or has any repo or someone support that?</p>