Applies a perspective transformation to the image(s).

Usage

op_image_perspective_transform(
  images,
  start_points,
  end_points,
  interpolation = "bilinear",
  fill_value = 0L,
  data_format = NULL
)

Arguments

images: Input image or batch of images. Must be 3D or 4D.
start_points: A tensor of shape (N, 4, 2) or (4, 2), representing the source points in the original image that define the transformation.
end_points: A tensor of shape (N, 4, 2) or (4, 2), representing the target points in the output image after transformation.
interpolation: Interpolation method. Available methods are "nearest", and "bilinear". Defaults to "bilinear".
fill_value: Value used for points outside the boundaries of the input if extrapolation is needed. Defaults to 0.
data_format: A string specifying the data format of the input tensor. It can be either "channels_last" or "channels_first". "channels_last" corresponds to inputs with shape (batch, height, width, channels), while "channels_first" corresponds to inputs with shape (batch, channels, height, width). If not specified, the value will default to keras.config.image_data_format.

Value

Applied perspective transform image or batch of images.

Examples

# Batch of 2 RGB images (channels_last)
x <- op_ones(c(2, 64, 80, 3))
start_points <- op_stack(list(
  rbind(c(0, 0), c(0, 64), c(80, 0), c(80, 64)),
  rbind(c(0, 0), c(0, 64), c(80, 0), c(80, 64))
))
end_points <- op_stack(list(
  rbind(c(3, 5), c(7, 64), c(76, -10), c(84, 61)),
  rbind(c(8, 10), c(10, 61), c(65, 3), c(88, 43))
))
y <- op_image_perspective_transform(x, start_points, end_points)
op_shape(y)

## shape(2, 64, 80, 3)

# Single RGB image (channels_last)
x <- op_ones(c(64, 80, 3))
start_points <- rbind(c(0, 0), c(0, 64), c(80, 0), c(80, 64))
end_points <- rbind(c(3, 5), c(7, 64), c(76, -10), c(84, 61))
y <- op_image_perspective_transform(x, start_points, end_points)
op_shape(y)

## shape(64, 80, 3)

# Batch of 2 RGB images (channels_first)
x <- op_ones(c(2, 3, 64, 80))
start_points <- op_stack(list(
  rbind(c(0, 0), c(0, 64), c(80, 0), c(80, 64)),
  rbind(c(0, 0), c(0, 64), c(80, 0), c(80, 64))
))
end_points <- op_stack(list(
  rbind(c(3, 5), c(7, 64), c(76, -10), c(84, 61)),
  rbind(c(8, 10), c(10, 61), c(65, 3), c(88, 43))
))
y <- op_image_perspective_transform(
  x, start_points, end_points,
  data_format = "channels_first"
)
op_shape(y)

## shape(2, 3, 64, 80)

Other image utils:
image_array_save()
image_from_array()
image_load()
image_smart_resize()
image_to_array()
op_image_affine_transform()
op_image_crop()
op_image_extract_patches()
op_image_gaussian_blur()
op_image_hsv_to_rgb()
op_image_map_coordinates()
op_image_pad()
op_image_resize()
op_image_rgb_to_grayscale()
op_image_rgb_to_hsv()

Other ops:
op_abs()
op_add()
op_all()
op_any()
op_append()
op_arange()
op_arccos()
op_arccosh()
op_arcsin()
op_arcsinh()
op_arctan()
op_arctan2()
op_arctanh()
op_argmax()
op_argmin()
op_argpartition()
op_argsort()
op_array()
op_associative_scan()
op_average()
op_average_pool()
op_batch_normalization()
op_binary_crossentropy()
op_bincount()
op_bitwise_and()
op_bitwise_invert()
op_bitwise_left_shift()
op_bitwise_not()
op_bitwise_or()
op_bitwise_right_shift()
op_bitwise_xor()
op_broadcast_to()
op_cast()
op_categorical_crossentropy()
op_ceil()
op_celu()
op_cholesky()
op_clip()
op_concatenate()
op_cond()
op_conj()
op_conv()
op_conv_transpose()
op_convert_to_numpy()
op_convert_to_tensor()
op_copy()
op_correlate()
op_cos()
op_cosh()
op_count_nonzero()
op_cross()
op_ctc_decode()
op_ctc_loss()
op_cumprod()
op_cumsum()
op_custom_gradient()
op_depthwise_conv()
op_det()
op_diag()
op_diagflat()
op_diagonal()
op_diff()
op_digitize()
op_divide()
op_divide_no_nan()
op_dot()
op_dot_product_attention()
op_dtype()
op_eig()
op_eigh()
op_einsum()
op_elu()
op_empty()
op_equal()
op_erf()
op_erfinv()
op_exp()
op_exp2()
op_expand_dims()
op_expm1()
op_extract_sequences()
op_eye()
op_fft()
op_fft2()
op_flip()
op_floor()
op_floor_divide()
op_fori_loop()
op_full()
op_full_like()
op_gelu()
op_get_item()
op_glu()
op_greater()
op_greater_equal()
op_hard_shrink()
op_hard_sigmoid()
op_hard_silu()
op_hard_tanh()
op_histogram()
op_hstack()
op_identity()
op_ifft2()
op_imag()
op_image_affine_transform()
op_image_crop()
op_image_extract_patches()
op_image_gaussian_blur()
op_image_hsv_to_rgb()
op_image_map_coordinates()
op_image_pad()
op_image_resize()
op_image_rgb_to_grayscale()
op_image_rgb_to_hsv()
op_in_top_k()
op_inner()
op_inv()
op_irfft()
op_is_tensor()
op_isclose()
op_isfinite()
op_isinf()
op_isnan()
op_istft()
op_leaky_relu()
op_left_shift()
op_less()
op_less_equal()
op_linspace()
op_log()
op_log10()
op_log1p()
op_log2()
op_log_sigmoid()
op_log_softmax()
op_logaddexp()
op_logdet()
op_logical_and()
op_logical_not()
op_logical_or()
op_logical_xor()
op_logspace()
op_logsumexp()
op_lstsq()
op_lu_factor()
op_map()
op_matmul()
op_max()
op_max_pool()
op_maximum()
op_mean()
op_median()
op_meshgrid()
op_min()
op_minimum()
op_mod()
op_moments()
op_moveaxis()
op_multi_hot()
op_multiply()
op_nan_to_num()
op_ndim()
op_negative()
op_nonzero()
op_norm()
op_normalize()
op_not_equal()
op_one_hot()
op_ones()
op_ones_like()
op_outer()
op_pad()
op_polar()
op_power()
op_prod()
op_psnr()
op_qr()
op_quantile()
op_ravel()
op_real()
op_rearrange()
op_reciprocal()
op_relu()
op_relu6()
op_repeat()
op_reshape()
op_rfft()
op_right_shift()
op_rms_normalization()
op_roll()
op_rot90()
op_round()
op_rsqrt()
op_saturate_cast()
op_scan()
op_scatter()
op_scatter_update()
op_searchsorted()
op_segment_max()
op_segment_sum()
op_select()
op_selu()
op_separable_conv()
op_shape()
op_sigmoid()
op_sign()
op_signbit()
op_silu()
op_sin()
op_sinh()
op_size()
op_slice()
op_slice_update()
op_slogdet()
op_soft_shrink()
op_softmax()
op_softplus()
op_softsign()
op_solve()
op_solve_triangular()
op_sort()
op_sparse_categorical_crossentropy()
op_sparse_plus()
op_sparsemax()
op_split()
op_sqrt()
op_square()
op_squareplus()
op_squeeze()
op_stack()
op_std()
op_stft()
op_stop_gradient()
op_subset()
op_subtract()
op_sum()
op_svd()
op_swapaxes()
op_switch()
op_take()
op_take_along_axis()
op_tan()
op_tanh()
op_tanh_shrink()
op_tensordot()
op_threshold()
op_tile()
op_top_k()
op_trace()
op_transpose()
op_tri()
op_tril()
op_triu()
op_trunc()
op_unravel_index()
op_unstack()
op_var()
op_vdot()
op_vectorize()
op_vectorized_map()
op_vstack()
op_where()
op_while_loop()
op_zeros()
op_zeros_like()

Applies a perspective transformation to the image(s).

Usage

Arguments

Value

Examples

See also