parameters: (self, image_fnames)
return_statement: return self.detect_windows(zip(image_fnames, windows_list))
docstring: Do windowed detection over Selective Search proposals by extracting
          the crop and warping to the input dimensions of the net.
  
          Parameters
          ----------
          image_fnames: list
  
          Returns
          -------
          detections: list of {filename: image filename, window: crop coordinates,
              predictions: prediction vector} dicts.
docstring_summary: Do windowed detection over Selective Search proposals by extracting
          the crop and warping to the input dimensions of the net.
docstring_tokens: Do windowed detection over Selective Search proposals by extracting the crop and warping to the input dimensions of the net .
function: def detect_selective_search(self, image_fnames):
          """
          Do windowed detection over Selective Search proposals by extracting
          the crop and warping to the input dimensions of the net.
  
          Parameters
          ----------
          image_fnames: list
  
          Returns
          -------
          detections: list of {filename: image filename, window: crop coordinates,
              predictions: prediction vector} dicts.
          """
          import selective_search_ijcv_with_python as selective_search
          # Make absolute paths so MATLAB can find the files.
          image_fnames = [os.path.abspath(f) for f in image_fnames]
          windows_list = selective_search.get_windows(
              image_fnames,
              cmd='selective_search_rcnn'
          )
          # Run windowed detection on the selective search list.
          return self.detect_windows(zip(image_fnames, windows_list))
function_tokens: def detect_selective_search ( self , image_fnames ) : import selective_search_ijcv_with_python as selective_search # Make absolute paths so MATLAB can find the files. image_fnames = [ os . path . abspath ( f ) for f in image_fnames ] windows_list = selective_search . get_windows ( image_fnames , cmd = 'selective_search_rcnn' ) # Run windowed detection on the selective search list. return self . detect_windows ( zip ( image_fnames , windows_list ) )