niftynet.engine.sampler_grid module¶
sampling image by a sliding window
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class
niftynet.engine.sampler_grid.GridSampler(reader, data_param, batch_size, spatial_window_size=(), window_border=(), queue_length=10)¶ Bases:
niftynet.layer.base_layer.Layer,niftynet.engine.image_window_buffer.InputBatchQueueRunnerThis class generators ND image samples with a sliding window
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layer_op()¶
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niftynet.engine.sampler_grid.grid_spatial_coordinates(subject_id, img_sizes, win_sizes, border_size)¶ This function generates all coordinates of feasible windows, with step sizes specified in grid_size parameter
The border size changes the sampling locations but not the corresponding window sizes of the coordinates.
Parameters: subject_id – integer value indicates the position of of this image in image_reader.file_list
Parameters: - img_sizes – a dictionary of image shapes, {input_name: shape}
- win_sizes – a dictionary of window shapes, {input_name: shape}
- border_size – size of padding on both sides of each dim
Returns:
