Example #1
0
def apply_preprocessing_bcb(X, real_dim):
    X[0] = X[0][..., 0:12]  # CO
    X[1] = X[1][..., 4:16]  # Xe
    X = pp.interpolate_and_crop(X, real_dim)
    X_ = []
    for z in range(X[0].shape[-1] - 10 + 1):
        X_.append([x[..., z:z + 10] for x in X])
    X = [np.concatenate([x[i] for x in X_], axis=0) for i in range(len(X))]
    pp.add_norm(X)
    return X
Example #2
0
def apply_preprocessing_exp(X, real_dim):

    # Pick slices
    X[0] = X[0][..., 0:10] # CO
    X[1] = X[1][..., 4:14] # Xe

    X = pp.interpolate_and_crop(X, real_dim)
    pp.add_norm(X)
    
    return X
Example #3
0
def apply_preprocessing_exp(X, real_dim):

    # Pick slices
    X[0] = X[0][..., :10]  # CO
    X[1] = X[1][..., :10]  # Xe

    X = pp.interpolate_and_crop(X, real_dim)
    pp.add_norm(X)
    X = [x[:, :80, 8:80] for x in X]

    return X
Example #4
0
def apply_preprocessing_exp(X, real_dim):

    # Pick slices
    X[0] = X[0][..., 0:10]  # CO
    X[1] = X[1][..., 4:14]  # Xe

    X = pp.interpolate_and_crop(X, real_dim)
    pp.add_norm(X)

    # Flip, rotate and shift Xe data
    X[1] = X[1][:, ::-1]
    X[1] = rotate(X[1], angle=-12, axes=(2, 1), reshape=False, mode='reflect')
    X[1] = shift(X[1], shift=(0, -5, 1, 0), mode='reflect')
    X = [x[:, 2:90] for x in X]

    return X
Example #5
0
def apply_preprocessing_bcb(X, real_dim):
    X[0] = X[0][..., :10]  # Pick slices
    X = pp.interpolate_and_crop(X, real_dim)
    pp.add_norm(X)
    return X