DOC: more notebooks

README.md

@@ -25,59 +25,7 @@ pip install ./torch-interpol
 
 ## Usage
 
-The most useful function is `grid_pull`, which samples an image at a given 
-set of coordinates according to some spline order. Here's a small example 
-that show how to reslice an image to a different image space:
-```python
-# we are going to rotate and resample a 32x32 pixels square
-import torch, math
-import matplotlib.pyplot as plt
-from interpol import grid_pull, affine_grid
-
-# generate a "square" phantom image
-x = torch.zeros([64, 64])
-x[16:48, 16:48] = 1
-
-# build rotation matrix
-rot = [[math.cos(math.pi/4), -math.sin(math.pi/4), 0],
-       [math.sin(math.pi/4), math.cos(math.pi/4), 0],
-       [0, 0, 1]]
-center = [[1, 0, -32],
-          [0, 1, -32],
-          [0, 0, 1]]
-rot = torch.as_tensor(rot, dtype=torch.float)
-center = torch.as_tensor(center, dtype=torch.float)
-full_affine = center.inverse() @ rot @ center 
-
-# build dense field of sampling coordinates
-grid = affine_grid(full_affine, [64, 64])
-
-# resample
-y1 = grid_pull(x, grid, bound='mirror', interpolation=1)
-y3 = grid_pull(x, grid, bound='mirror', interpolation=3, prefilter=True)
-y5 = grid_pull(x, grid, bound='mirror', interpolation=5, prefilter=True)
-
-# plot
-plt.subplot(1, 4, 1)
-plt.imshow(x, vmin=0, vmax=1)
-plt.axis('off')
-plt.title('original')
-plt.subplot(1, 4, 2)
-plt.imshow(y1, vmin=0, vmax=1)
-plt.axis('off')
-plt.title('1st order')
-plt.subplot(1, 4, 3)
-plt.imshow(y3, vmin=0, vmax=1)
-plt.axis('off')
-plt.title('3rd order')
-plt.subplot(1, 4, 4)
-plt.imshow(y5, vmin=0, vmax=1)
-plt.axis('off')
-plt.title('5th order')
-plt.show()
-```
-
-**See also our [example notebooks](examples/)**
+**See our [example notebooks](examples/)**
 
 ## Quick doc