title: Faster RCNN tensorflow object detection API : dealing with big images
body: <p>I have images of a big size (6000x4000). I want to train FasterRCNN to detect quite small object (tipycally between 50 150 pixels). So for memory purpose I crop the images to 1000x1000. The training is ok. When I test the model on the 1000x1000 the results are really good. When I test the model on images of 6000x4000 the result are really bad...</p>
  
  <p>I guess it is the region proposal step, but I don't know what I am doing wrong (the keep_aspect_ratio_resizer max_dimension is fix to 12000)...</p>
  
  <p>Thanks for your help !</p>