gen_image_ops - LostTech.TensorFlow Documentation

Tensor adjust_contrast(IGraphNodeBase images, IGraphNodeBase contrast_factor, IGraphNodeBase min_value, IGraphNodeBase max_value, string name)

object adjust_contrast_dyn(object images, object contrast_factor, object min_value, object max_value, object name)

object adjust_contrast_eager_fallback(IGraphNodeBase images, IGraphNodeBase contrast_factor, IGraphNodeBase min_value, IGraphNodeBase max_value, string name, Context ctx)

object adjust_contrast_eager_fallback_dyn(object images, object contrast_factor, object min_value, object max_value, object name, object ctx)

Tensor adjust_contrastv2(IGraphNodeBase images, IGraphNodeBase contrast_factor, PythonFunctionContainer name)

Tensor adjust_contrastv2(IGraphNodeBase images, IGraphNodeBase contrast_factor, string name)

object adjust_contrastv2_dyn(object images, object contrast_factor, object name)

object adjust_contrastv2_eager_fallback(IGraphNodeBase images, IGraphNodeBase contrast_factor, string name, Context ctx)

object adjust_contrastv2_eager_fallback_dyn(object images, object contrast_factor, object name, object ctx)

Tensor adjust_hue(IGraphNodeBase images, IGraphNodeBase delta, string name)

Adjust hue of RGB images.

This is a convenience method that converts an RGB image to float representation, converts it to HSV, add an offset to the hue channel, converts back to RGB and then back to the original data type. If several adjustments are chained it is advisable to minimize the number of redundant conversions.

`image` is an RGB image. The image hue is adjusted by converting the image(s) to HSV and rotating the hue channel (H) by `delta`. The image is then converted back to RGB.

`delta` must be in the interval `[-1, 1]`.

Parameters

IGraphNodeBase images
IGraphNodeBase delta: float. How much to add to the hue channel.
string name: A name for this operation (optional).

Returns

Tensor: Adjusted image(s), same shape and DType as `image`.
Usage Example: ```python >> import tensorflow as tf >> x = tf.random.normal(shape=(256, 256, 3)) >> tf.image.adjust_hue(x, 0.2) ```

object adjust_hue_dyn(object images, object delta, object name)

Adjust hue of RGB images.

This is a convenience method that converts an RGB image to float representation, converts it to HSV, add an offset to the hue channel, converts back to RGB and then back to the original data type. If several adjustments are chained it is advisable to minimize the number of redundant conversions.

`image` is an RGB image. The image hue is adjusted by converting the image(s) to HSV and rotating the hue channel (H) by `delta`. The image is then converted back to RGB.

`delta` must be in the interval `[-1, 1]`.

Parameters

object images
object delta: float. How much to add to the hue channel.
object name: A name for this operation (optional).

Returns

object: Adjusted image(s), same shape and DType as `image`.
Usage Example: ```python >> import tensorflow as tf >> x = tf.random.normal(shape=(256, 256, 3)) >> tf.image.adjust_hue(x, 0.2) ```

object adjust_hue_eager_fallback(IGraphNodeBase images, IGraphNodeBase delta, string name, Context ctx)

object adjust_hue_eager_fallback_dyn(object images, object delta, object name, object ctx)

Tensor adjust_saturation(IGraphNodeBase images, IGraphNodeBase scale, string name)

Adjust saturation of RGB images.

This is a convenience method that converts RGB images to float representation, converts them to HSV, add an offset to the saturation channel, converts back to RGB and then back to the original data type. If several adjustments are chained it is advisable to minimize the number of redundant conversions.

`image` is an RGB image or images. The image saturation is adjusted by converting the images to HSV and multiplying the saturation (S) channel by `saturation_factor` and clipping. The images are then converted back to RGB.

Parameters

IGraphNodeBase images
IGraphNodeBase scale
string name: A name for this operation (optional).

Returns

Tensor

Adjusted image(s), same shape and DType as `image`.

Usage Example: ```python >> import tensorflow as tf >> x = tf.random.normal(shape=(256, 256, 3)) >> tf.image.adjust_saturation(x, 0.5) ```

object adjust_saturation_dyn(object images, object scale, object name)

Adjust saturation of RGB images.

This is a convenience method that converts RGB images to float representation, converts them to HSV, add an offset to the saturation channel, converts back to RGB and then back to the original data type. If several adjustments are chained it is advisable to minimize the number of redundant conversions.

`image` is an RGB image or images. The image saturation is adjusted by converting the images to HSV and multiplying the saturation (S) channel by `saturation_factor` and clipping. The images are then converted back to RGB.

Parameters

object images
object scale
object name: A name for this operation (optional).

Returns

object

Adjusted image(s), same shape and DType as `image`.

Usage Example: ```python >> import tensorflow as tf >> x = tf.random.normal(shape=(256, 256, 3)) >> tf.image.adjust_saturation(x, 0.5) ```

object adjust_saturation_eager_fallback(IGraphNodeBase images, IGraphNodeBase scale, string name, Context ctx)

object adjust_saturation_eager_fallback_dyn(object images, object scale, object name, object ctx)

object combined_non_max_suppression(IGraphNodeBase boxes, IGraphNodeBase scores, IGraphNodeBase max_output_size_per_class, IGraphNodeBase max_total_size, IGraphNodeBase iou_threshold, IGraphNodeBase score_threshold, bool pad_per_class, bool clip_boxes, string name)

object combined_non_max_suppression_dyn(object boxes, object scores, object max_output_size_per_class, object max_total_size, object iou_threshold, object score_threshold, ImplicitContainer<T> pad_per_class, ImplicitContainer<T> clip_boxes, object name)

object combined_non_max_suppression_eager_fallback(IGraphNodeBase boxes, IGraphNodeBase scores, IGraphNodeBase max_output_size_per_class, IGraphNodeBase max_total_size, IGraphNodeBase iou_threshold, IGraphNodeBase score_threshold, bool pad_per_class, bool clip_boxes, string name, Context ctx)

object combined_non_max_suppression_eager_fallback_dyn(object boxes, object scores, object max_output_size_per_class, object max_total_size, object iou_threshold, object score_threshold, ImplicitContainer<T> pad_per_class, ImplicitContainer<T> clip_boxes, object name, object ctx)

Tensor crop_and_resize(IGraphNodeBase image, IGraphNodeBase boxes, IGraphNodeBase box_ind, IGraphNodeBase crop_size, string method, int extrapolation_value, string name)

object crop_and_resize_eager_fallback(IGraphNodeBase image, IGraphNodeBase boxes, IGraphNodeBase box_ind, IGraphNodeBase crop_size, string method, double extrapolation_value, string name, Context ctx)

object crop_and_resize_eager_fallback(IGraphNodeBase image, IGraphNodeBase boxes, IGraphNodeBase box_ind, IGraphNodeBase crop_size, Byte[] method, int extrapolation_value, string name, Context ctx)

object crop_and_resize_eager_fallback(IGraphNodeBase image, IGraphNodeBase boxes, IGraphNodeBase box_ind, IGraphNodeBase crop_size, string method, int extrapolation_value, string name, Context ctx)

object crop_and_resize_eager_fallback(IGraphNodeBase image, IGraphNodeBase boxes, IGraphNodeBase box_ind, IGraphNodeBase crop_size, Byte[] method, double extrapolation_value, string name, Context ctx)

object crop_and_resize_eager_fallback_dyn(object image, object boxes, object box_ind, object crop_size, ImplicitContainer<T> method, ImplicitContainer<T> extrapolation_value, object name, object ctx)

Tensor crop_and_resize_grad_boxes(IGraphNodeBase grads, IGraphNodeBase image, IGraphNodeBase boxes, IGraphNodeBase box_ind, string method, string name)

object crop_and_resize_grad_boxes_dyn(object grads, object image, object boxes, object box_ind, ImplicitContainer<T> method, object name)

object crop_and_resize_grad_boxes_eager_fallback(IGraphNodeBase grads, IGraphNodeBase image, IGraphNodeBase boxes, IGraphNodeBase box_ind, Byte[] method, string name, Context ctx)

object crop_and_resize_grad_boxes_eager_fallback(IGraphNodeBase grads, IGraphNodeBase image, IGraphNodeBase boxes, IGraphNodeBase box_ind, string method, string name, Context ctx)

object crop_and_resize_grad_boxes_eager_fallback_dyn(object grads, object image, object boxes, object box_ind, ImplicitContainer<T> method, object name, object ctx)

Tensor crop_and_resize_grad_image(IGraphNodeBase grads, IGraphNodeBase boxes, IGraphNodeBase box_ind, IGraphNodeBase image_size, object T, string method, string name)

object crop_and_resize_grad_image_dyn(object grads, object boxes, object box_ind, object image_size, object T, ImplicitContainer<T> method, object name)

object crop_and_resize_grad_image_eager_fallback(IGraphNodeBase grads, IGraphNodeBase boxes, IGraphNodeBase box_ind, IGraphNodeBase image_size, int T, Byte[] method, string name, Context ctx)

object crop_and_resize_grad_image_eager_fallback(IGraphNodeBase grads, IGraphNodeBase boxes, IGraphNodeBase box_ind, IGraphNodeBase image_size, int T, string method, string name, Context ctx)

object crop_and_resize_grad_image_eager_fallback_dyn(object grads, object boxes, object box_ind, object image_size, object T, ImplicitContainer<T> method, object name, object ctx)

object decode_and_crop_jpeg_eager_fallback(IGraphNodeBase contents, IGraphNodeBase crop_window, int channels, int ratio, bool fancy_upscaling, bool try_recover_truncated, int acceptable_fraction, Byte[] dct_method, string name, Context ctx)

object decode_and_crop_jpeg_eager_fallback(IGraphNodeBase contents, IGraphNodeBase crop_window, int channels, int ratio, bool fancy_upscaling, bool try_recover_truncated, double acceptable_fraction, Byte[] dct_method, string name, Context ctx)

object decode_and_crop_jpeg_eager_fallback(IGraphNodeBase contents, IGraphNodeBase crop_window, int channels, int ratio, bool fancy_upscaling, bool try_recover_truncated, int acceptable_fraction, string dct_method, string name, Context ctx)

object decode_and_crop_jpeg_eager_fallback(IGraphNodeBase contents, IGraphNodeBase crop_window, int channels, int ratio, bool fancy_upscaling, bool try_recover_truncated, double acceptable_fraction, string dct_method, string name, Context ctx)

object decode_and_crop_jpeg_eager_fallback_dyn(object contents, object crop_window, ImplicitContainer<T> channels, ImplicitContainer<T> ratio, ImplicitContainer<T> fancy_upscaling, ImplicitContainer<T> try_recover_truncated, ImplicitContainer<T> acceptable_fraction, ImplicitContainer<T> dct_method, object name, object ctx)

object decode_bmp_eager_fallback(IGraphNodeBase contents, int channels, string name, Context ctx)

object decode_bmp_eager_fallback_dyn(object contents, ImplicitContainer<T> channels, object name, object ctx)

object decode_gif_eager_fallback(IGraphNodeBase contents, string name, Context ctx)

object decode_gif_eager_fallback_dyn(object contents, object name, object ctx)

object decode_jpeg_eager_fallback(IGraphNodeBase contents, Nullable<int> channels, int ratio, bool fancy_upscaling, bool try_recover_truncated, int acceptable_fraction, string dct_method, string name, Context ctx)

object decode_jpeg_eager_fallback(IGraphNodeBase contents, Nullable<int> channels, int ratio, bool fancy_upscaling, bool try_recover_truncated, int acceptable_fraction, Byte[] dct_method, string name, Context ctx)

object decode_jpeg_eager_fallback(IGraphNodeBase contents, Nullable<int> channels, int ratio, bool fancy_upscaling, bool try_recover_truncated, double acceptable_fraction, string dct_method, string name, Context ctx)

object decode_jpeg_eager_fallback(IGraphNodeBase contents, Nullable<int> channels, int ratio, bool fancy_upscaling, bool try_recover_truncated, double acceptable_fraction, Byte[] dct_method, string name, Context ctx)

object decode_jpeg_eager_fallback_dyn(object contents, ImplicitContainer<T> channels, ImplicitContainer<T> ratio, ImplicitContainer<T> fancy_upscaling, ImplicitContainer<T> try_recover_truncated, ImplicitContainer<T> acceptable_fraction, ImplicitContainer<T> dct_method, object name, object ctx)

object decode_png_eager_fallback(IGraphNodeBase contents, Nullable<int> channels, ImplicitContainer<T> dtype, string name, Context ctx)

object decode_png_eager_fallback_dyn(object contents, ImplicitContainer<T> channels, ImplicitContainer<T> dtype, object name, object ctx)

Tensor draw_bounding_boxes(IGraphNodeBase images, IGraphNodeBase boxes, string name)

object draw_bounding_boxes_dyn(object images, object boxes, object name)

object draw_bounding_boxes_eager_fallback(IGraphNodeBase images, IGraphNodeBase boxes, string name, Context ctx)

object draw_bounding_boxes_eager_fallback_dyn(object images, object boxes, object name, object ctx)

Tensor draw_bounding_boxes_v2(IGraphNodeBase images, IGraphNodeBase boxes, IGraphNodeBase colors, string name)

object draw_bounding_boxes_v2_dyn(object images, object boxes, object colors, object name)

object draw_bounding_boxes_v2_eager_fallback(IGraphNodeBase images, IGraphNodeBase boxes, IGraphNodeBase colors, string name, Context ctx)

object draw_bounding_boxes_v2_eager_fallback_dyn(object images, object boxes, object colors, object name, object ctx)

object encode_jpeg_eager_fallback(IGraphNodeBase image, string format, IGraphNodeBase quality, bool progressive, bool optimize_size, bool chroma_downsampling, string density_unit, int x_density, int y_density, Byte[] xmp_metadata, string name, Context ctx)

object encode_jpeg_eager_fallback(IGraphNodeBase image, string format, IGraphNodeBase quality, bool progressive, bool optimize_size, bool chroma_downsampling, Byte[] density_unit, int x_density, int y_density, string xmp_metadata, string name, Context ctx)

object encode_jpeg_eager_fallback(IGraphNodeBase image, string format, IGraphNodeBase quality, bool progressive, bool optimize_size, bool chroma_downsampling, Byte[] density_unit, int x_density, int y_density, Byte[] xmp_metadata, string name, Context ctx)

object encode_jpeg_eager_fallback(IGraphNodeBase image, Byte[] format, IGraphNodeBase quality, bool progressive, bool optimize_size, bool chroma_downsampling, string density_unit, int x_density, int y_density, string xmp_metadata, string name, Context ctx)

object encode_jpeg_eager_fallback(IGraphNodeBase image, string format, IGraphNodeBase quality, bool progressive, bool optimize_size, bool chroma_downsampling, string density_unit, int x_density, int y_density, string xmp_metadata, string name, Context ctx)

object encode_jpeg_eager_fallback(IGraphNodeBase image, Byte[] format, int quality, bool progressive, bool optimize_size, bool chroma_downsampling, Byte[] density_unit, int x_density, int y_density, Byte[] xmp_metadata, string name, Context ctx)

object encode_jpeg_eager_fallback(IGraphNodeBase image, string format, int quality, bool progressive, bool optimize_size, bool chroma_downsampling, string density_unit, int x_density, int y_density, string xmp_metadata, string name, Context ctx)

object encode_jpeg_eager_fallback(IGraphNodeBase image, Byte[] format, int quality, bool progressive, bool optimize_size, bool chroma_downsampling, Byte[] density_unit, int x_density, int y_density, string xmp_metadata, string name, Context ctx)

object encode_jpeg_eager_fallback(IGraphNodeBase image, string format, int quality, bool progressive, bool optimize_size, bool chroma_downsampling, string density_unit, int x_density, int y_density, Byte[] xmp_metadata, string name, Context ctx)

object encode_jpeg_eager_fallback(IGraphNodeBase image, string format, int quality, bool progressive, bool optimize_size, bool chroma_downsampling, Byte[] density_unit, int x_density, int y_density, string xmp_metadata, string name, Context ctx)

object encode_jpeg_eager_fallback(IGraphNodeBase image, Byte[] format, int quality, bool progressive, bool optimize_size, bool chroma_downsampling, string density_unit, int x_density, int y_density, string xmp_metadata, string name, Context ctx)

object encode_jpeg_eager_fallback(IGraphNodeBase image, Byte[] format, IGraphNodeBase quality, bool progressive, bool optimize_size, bool chroma_downsampling, Byte[] density_unit, int x_density, int y_density, Byte[] xmp_metadata, string name, Context ctx)

object encode_jpeg_eager_fallback(IGraphNodeBase image, Byte[] format, IGraphNodeBase quality, bool progressive, bool optimize_size, bool chroma_downsampling, Byte[] density_unit, int x_density, int y_density, string xmp_metadata, string name, Context ctx)

object encode_jpeg_eager_fallback(IGraphNodeBase image, Byte[] format, IGraphNodeBase quality, bool progressive, bool optimize_size, bool chroma_downsampling, string density_unit, int x_density, int y_density, Byte[] xmp_metadata, string name, Context ctx)

object encode_jpeg_eager_fallback(IGraphNodeBase image, string format, int quality, bool progressive, bool optimize_size, bool chroma_downsampling, Byte[] density_unit, int x_density, int y_density, Byte[] xmp_metadata, string name, Context ctx)

object encode_jpeg_eager_fallback(IGraphNodeBase image, Byte[] format, int quality, bool progressive, bool optimize_size, bool chroma_downsampling, string density_unit, int x_density, int y_density, Byte[] xmp_metadata, string name, Context ctx)

object encode_jpeg_eager_fallback_dyn(object image, ImplicitContainer<T> format, ImplicitContainer<T> quality, ImplicitContainer<T> progressive, ImplicitContainer<T> optimize_size, ImplicitContainer<T> chroma_downsampling, ImplicitContainer<T> density_unit, ImplicitContainer<T> x_density, ImplicitContainer<T> y_density, ImplicitContainer<T> xmp_metadata, object name, object ctx)

Tensor encode_jpeg_variable_quality(IGraphNodeBase images, IGraphNodeBase quality, string name)

object encode_jpeg_variable_quality_dyn(object images, object quality, object name)

object encode_jpeg_variable_quality_eager_fallback(IGraphNodeBase images, IGraphNodeBase quality, string name, Context ctx)

object encode_jpeg_variable_quality_eager_fallback_dyn(object images, object quality, object name, object ctx)

object encode_png_eager_fallback(IGraphNodeBase image, int compression, string name, Context ctx)

object encode_png_eager_fallback_dyn(object image, ImplicitContainer<T> compression, object name, object ctx)

Tensor extract_glimpse(IGraphNodeBase input, IGraphNodeBase size, IGraphNodeBase offsets, bool centered, bool normalized, bool uniform_noise, string noise, string name)

object extract_glimpse_dyn(object input, object size, object offsets, ImplicitContainer<T> centered, ImplicitContainer<T> normalized, ImplicitContainer<T> uniform_noise, ImplicitContainer<T> noise, object name)

object extract_glimpse_eager_fallback(IGraphNodeBase input, IGraphNodeBase size, IGraphNodeBase offsets, bool centered, bool normalized, bool uniform_noise, Byte[] noise, string name, Context ctx)

object extract_glimpse_eager_fallback(IGraphNodeBase input, IGraphNodeBase size, IGraphNodeBase offsets, bool centered, bool normalized, bool uniform_noise, string noise, string name, Context ctx)

object extract_glimpse_eager_fallback_dyn(object input, object size, object offsets, ImplicitContainer<T> centered, ImplicitContainer<T> normalized, ImplicitContainer<T> uniform_noise, ImplicitContainer<T> noise, object name, object ctx)

object extract_jpeg_shape_eager_fallback(IGraphNodeBase contents, ImplicitContainer<T> output_type, string name, Context ctx)

object extract_jpeg_shape_eager_fallback_dyn(object contents, ImplicitContainer<T> output_type, object name, object ctx)

object hsv_to_rgb_eager_fallback(IGraphNodeBase images, string name, Context ctx)

object hsv_to_rgb_eager_fallback_dyn(object images, object name, object ctx)

Tensor non_max_suppression(IGraphNodeBase boxes, IGraphNodeBase scores, IGraphNodeBase max_output_size, double iou_threshold, string name)

Tensor non_max_suppression(IGraphNodeBase boxes, IGraphNodeBase scores, IGraphNodeBase max_output_size, IEnumerable<object> iou_threshold, string name)

Tensor non_max_suppression(IGraphNodeBase boxes, IGraphNodeBase scores, IGraphNodeBase max_output_size, IGraphNodeBase iou_threshold, string name)

object non_max_suppression_dyn(object boxes, object scores, object max_output_size, ImplicitContainer<T> iou_threshold, object name)

object non_max_suppression_eager_fallback(IGraphNodeBase boxes, IGraphNodeBase scores, IGraphNodeBase max_output_size, IGraphNodeBase iou_threshold, string name, Context ctx)

object non_max_suppression_eager_fallback(IGraphNodeBase boxes, IGraphNodeBase scores, IGraphNodeBase max_output_size, double iou_threshold, string name, Context ctx)

object non_max_suppression_eager_fallback(IGraphNodeBase boxes, IGraphNodeBase scores, IGraphNodeBase max_output_size, IEnumerable<object> iou_threshold, string name, Context ctx)

object non_max_suppression_eager_fallback_dyn(object boxes, object scores, object max_output_size, ImplicitContainer<T> iou_threshold, object name, object ctx)

Tensor non_max_suppression_v2(IGraphNodeBase boxes, IGraphNodeBase scores, IGraphNodeBase max_output_size, IGraphNodeBase iou_threshold, string name)

object non_max_suppression_v2_dyn(object boxes, object scores, object max_output_size, object iou_threshold, object name)

object non_max_suppression_v2_eager_fallback(IGraphNodeBase boxes, IGraphNodeBase scores, IGraphNodeBase max_output_size, IGraphNodeBase iou_threshold, string name, Context ctx)

object non_max_suppression_v2_eager_fallback_dyn(object boxes, object scores, object max_output_size, object iou_threshold, object name, object ctx)

Tensor non_max_suppression_v3(IGraphNodeBase boxes, IGraphNodeBase scores, IGraphNodeBase max_output_size, IGraphNodeBase iou_threshold, IGraphNodeBase score_threshold, string name)

object non_max_suppression_v3_dyn(object boxes, object scores, object max_output_size, object iou_threshold, object score_threshold, object name)

object non_max_suppression_v3_eager_fallback(IGraphNodeBase boxes, IGraphNodeBase scores, IGraphNodeBase max_output_size, IGraphNodeBase iou_threshold, IGraphNodeBase score_threshold, string name, Context ctx)

object non_max_suppression_v3_eager_fallback_dyn(object boxes, object scores, object max_output_size, object iou_threshold, object score_threshold, object name, object ctx)

object non_max_suppression_v4(IGraphNodeBase boxes, IGraphNodeBase scores, IGraphNodeBase max_output_size, IGraphNodeBase iou_threshold, IGraphNodeBase score_threshold, bool pad_to_max_output_size, string name)

object non_max_suppression_v4_dyn(object boxes, object scores, object max_output_size, object iou_threshold, object score_threshold, ImplicitContainer<T> pad_to_max_output_size, object name)

object non_max_suppression_v4_eager_fallback(IGraphNodeBase boxes, IGraphNodeBase scores, IGraphNodeBase max_output_size, IGraphNodeBase iou_threshold, IGraphNodeBase score_threshold, bool pad_to_max_output_size, string name, Context ctx)

object non_max_suppression_v4_eager_fallback_dyn(object boxes, object scores, object max_output_size, object iou_threshold, object score_threshold, ImplicitContainer<T> pad_to_max_output_size, object name, object ctx)

object non_max_suppression_v5(IGraphNodeBase boxes, IGraphNodeBase scores, IGraphNodeBase max_output_size, IGraphNodeBase iou_threshold, IGraphNodeBase score_threshold, IGraphNodeBase soft_nms_sigma, bool pad_to_max_output_size, string name)

object non_max_suppression_v5_dyn(object boxes, object scores, object max_output_size, object iou_threshold, object score_threshold, object soft_nms_sigma, ImplicitContainer<T> pad_to_max_output_size, object name)

object non_max_suppression_v5_eager_fallback(IGraphNodeBase boxes, IGraphNodeBase scores, IGraphNodeBase max_output_size, IGraphNodeBase iou_threshold, IGraphNodeBase score_threshold, IGraphNodeBase soft_nms_sigma, bool pad_to_max_output_size, string name, Context ctx)

object non_max_suppression_v5_eager_fallback_dyn(object boxes, object scores, object max_output_size, object iou_threshold, object score_threshold, object soft_nms_sigma, ImplicitContainer<T> pad_to_max_output_size, object name, object ctx)

Tensor non_max_suppression_with_overlaps(IGraphNodeBase overlaps, IGraphNodeBase scores, IGraphNodeBase max_output_size, IGraphNodeBase overlap_threshold, IGraphNodeBase score_threshold, string name)

object non_max_suppression_with_overlaps_dyn(object overlaps, object scores, object max_output_size, object overlap_threshold, object score_threshold, object name)

object non_max_suppression_with_overlaps_eager_fallback(IGraphNodeBase overlaps, IGraphNodeBase scores, IGraphNodeBase max_output_size, IGraphNodeBase overlap_threshold, IGraphNodeBase score_threshold, string name, Context ctx)

object non_max_suppression_with_overlaps_eager_fallback_dyn(object overlaps, object scores, object max_output_size, object overlap_threshold, object score_threshold, object name, object ctx)

object quantized_resize_bilinear(IGraphNodeBase images, object size, IGraphNodeBase min, IGraphNodeBase max, bool align_corners, bool half_pixel_centers, string name)

object quantized_resize_bilinear_dyn(object images, object size, object min, object max, ImplicitContainer<T> align_corners, ImplicitContainer<T> half_pixel_centers, object name)

object quantized_resize_bilinear_eager_fallback(IGraphNodeBase images, object size, IGraphNodeBase min, IGraphNodeBase max, bool align_corners, bool half_pixel_centers, string name, Context ctx)

object quantized_resize_bilinear_eager_fallback_dyn(object images, object size, object min, object max, ImplicitContainer<T> align_corners, ImplicitContainer<T> half_pixel_centers, object name, object ctx)

Tensor random_crop(IGraphNodeBase image, IGraphNodeBase size, int seed, int seed2, string name)

object random_crop_dyn(object image, object size, ImplicitContainer<T> seed, ImplicitContainer<T> seed2, object name)

object random_crop_eager_fallback(IGraphNodeBase image, IGraphNodeBase size, int seed, int seed2, string name, Context ctx)

object random_crop_eager_fallback_dyn(object image, object size, ImplicitContainer<T> seed, ImplicitContainer<T> seed2, object name, object ctx)

object resize_area_eager_fallback(IGraphNodeBase images, IEnumerable<int> size, bool align_corners, string name, Context ctx)

object resize_area_eager_fallback_dyn(object images, object size, ImplicitContainer<T> align_corners, object name, object ctx)

Tensor resize_bicubic(IGraphNodeBase images, IEnumerable<int> size, bool align_corners, bool half_pixel_centers, string name)

Tensor resize_bicubic(IGraphNodeBase images, IGraphNodeBase size, bool align_corners, bool half_pixel_centers, string name)

object resize_bicubic_dyn(object images, object size, ImplicitContainer<T> align_corners, ImplicitContainer<T> half_pixel_centers, object name)

object resize_bicubic_eager_fallback(IGraphNodeBase images, IEnumerable<int> size, bool align_corners, bool half_pixel_centers, string name, Context ctx)

object resize_bicubic_eager_fallback_dyn(object images, object size, ImplicitContainer<T> align_corners, ImplicitContainer<T> half_pixel_centers, object name, object ctx)

Tensor resize_bicubic_grad(IGraphNodeBase grads, IGraphNodeBase original_image, bool align_corners, bool half_pixel_centers, string name)

object resize_bicubic_grad_dyn(object grads, object original_image, ImplicitContainer<T> align_corners, ImplicitContainer<T> half_pixel_centers, object name)

object resize_bicubic_grad_eager_fallback(IGraphNodeBase grads, IGraphNodeBase original_image, bool align_corners, bool half_pixel_centers, string name, Context ctx)

object resize_bicubic_grad_eager_fallback_dyn(object grads, object original_image, ImplicitContainer<T> align_corners, ImplicitContainer<T> half_pixel_centers, object name, object ctx)

Tensor resize_bilinear(IGraphNodeBase images, IGraphNodeBase size, bool align_corners, bool half_pixel_centers, string name)

Tensor resize_bilinear(IGraphNodeBase images, IEnumerable<object> size, bool align_corners, bool half_pixel_centers, string name)

object resize_bilinear_dyn(object images, object size, ImplicitContainer<T> align_corners, ImplicitContainer<T> half_pixel_centers, object name)

object resize_bilinear_eager_fallback(IGraphNodeBase images, IEnumerable<object> size, bool align_corners, bool half_pixel_centers, string name, Context ctx)

object resize_bilinear_eager_fallback_dyn(object images, object size, ImplicitContainer<T> align_corners, ImplicitContainer<T> half_pixel_centers, object name, object ctx)

Tensor resize_bilinear_grad(IGraphNodeBase grads, IGraphNodeBase original_image, bool align_corners, bool half_pixel_centers, string name)

object resize_bilinear_grad_dyn(object grads, object original_image, ImplicitContainer<T> align_corners, ImplicitContainer<T> half_pixel_centers, object name)

object resize_bilinear_grad_eager_fallback(IGraphNodeBase grads, IGraphNodeBase original_image, bool align_corners, bool half_pixel_centers, string name, Context ctx)

object resize_bilinear_grad_eager_fallback_dyn(object grads, object original_image, ImplicitContainer<T> align_corners, ImplicitContainer<T> half_pixel_centers, object name, object ctx)

Tensor resize_nearest_neighbor(IGraphNodeBase images, IGraphNodeBase size, bool align_corners, bool half_pixel_centers, string name)

Tensor resize_nearest_neighbor(IGraphNodeBase images, IEnumerable<int> size, bool align_corners, bool half_pixel_centers, string name)

object resize_nearest_neighbor_dyn(object images, object size, ImplicitContainer<T> align_corners, ImplicitContainer<T> half_pixel_centers, object name)

object resize_nearest_neighbor_eager_fallback(IGraphNodeBase images, IEnumerable<int> size, bool align_corners, bool half_pixel_centers, string name, Context ctx)

object resize_nearest_neighbor_eager_fallback_dyn(object images, object size, ImplicitContainer<T> align_corners, ImplicitContainer<T> half_pixel_centers, object name, object ctx)

Tensor resize_nearest_neighbor_grad(IGraphNodeBase grads, object size, bool align_corners, bool half_pixel_centers, string name)

object resize_nearest_neighbor_grad_dyn(object grads, object size, ImplicitContainer<T> align_corners, ImplicitContainer<T> half_pixel_centers, object name)

object resize_nearest_neighbor_grad_eager_fallback(IGraphNodeBase grads, object size, bool align_corners, bool half_pixel_centers, string name, Context ctx)

object resize_nearest_neighbor_grad_eager_fallback_dyn(object grads, object size, ImplicitContainer<T> align_corners, ImplicitContainer<T> half_pixel_centers, object name, object ctx)

object rgb_to_hsv_eager_fallback(IGraphNodeBase images, string name, Context ctx)

object rgb_to_hsv_eager_fallback_dyn(object images, object name, object ctx)

object sample_distorted_bounding_box(IGraphNodeBase image_size, IGraphNodeBase bounding_boxes, int seed, int seed2, IGraphNodeBase min_object_covered, ValueTuple<double, object> aspect_ratio_range, ValueTuple<double, object> area_range, int max_attempts, bool use_image_if_no_bounding_boxes, string name)

object sample_distorted_bounding_box(IGraphNodeBase image_size, IGraphNodeBase bounding_boxes, int seed, int seed2, double min_object_covered, ValueTuple<double, object> aspect_ratio_range, ImplicitContainer<T> area_range, int max_attempts, bool use_image_if_no_bounding_boxes, string name)

object sample_distorted_bounding_box(IGraphNodeBase image_size, IGraphNodeBase bounding_boxes, int seed, int seed2, double min_object_covered, ImplicitContainer<T> aspect_ratio_range, ValueTuple<double, object> area_range, int max_attempts, bool use_image_if_no_bounding_boxes, string name)

object sample_distorted_bounding_box(IGraphNodeBase image_size, IGraphNodeBase bounding_boxes, int seed, int seed2, double min_object_covered, ImplicitContainer<T> aspect_ratio_range, ImplicitContainer<T> area_range, int max_attempts, bool use_image_if_no_bounding_boxes, string name)

object sample_distorted_bounding_box(IGraphNodeBase image_size, IGraphNodeBase bounding_boxes, int seed, int seed2, IGraphNodeBase min_object_covered, ValueTuple<double, object> aspect_ratio_range, ImplicitContainer<T> area_range, int max_attempts, bool use_image_if_no_bounding_boxes, string name)

object sample_distorted_bounding_box(IGraphNodeBase image_size, IGraphNodeBase bounding_boxes, int seed, int seed2, IGraphNodeBase min_object_covered, ImplicitContainer<T> aspect_ratio_range, ValueTuple<double, object> area_range, int max_attempts, bool use_image_if_no_bounding_boxes, string name)

object sample_distorted_bounding_box(IGraphNodeBase image_size, IGraphNodeBase bounding_boxes, int seed, int seed2, IGraphNodeBase min_object_covered, ImplicitContainer<T> aspect_ratio_range, ImplicitContainer<T> area_range, int max_attempts, bool use_image_if_no_bounding_boxes, string name)

object sample_distorted_bounding_box(IGraphNodeBase image_size, IGraphNodeBase bounding_boxes, int seed, int seed2, double min_object_covered, ValueTuple<double, object> aspect_ratio_range, ValueTuple<double, object> area_range, int max_attempts, bool use_image_if_no_bounding_boxes, string name)

object sample_distorted_bounding_box_dyn(object image_size, object bounding_boxes, ImplicitContainer<T> seed, ImplicitContainer<T> seed2, ImplicitContainer<T> min_object_covered, ImplicitContainer<T> aspect_ratio_range, ImplicitContainer<T> area_range, ImplicitContainer<T> max_attempts, ImplicitContainer<T> use_image_if_no_bounding_boxes, object name)

object sample_distorted_bounding_box_eager_fallback(IGraphNodeBase image_size, IGraphNodeBase bounding_boxes, int seed, int seed2, IGraphNodeBase min_object_covered, ImplicitContainer<T> aspect_ratio_range, ImplicitContainer<T> area_range, int max_attempts, bool use_image_if_no_bounding_boxes, string name, Context ctx)

object sample_distorted_bounding_box_eager_fallback(IGraphNodeBase image_size, IGraphNodeBase bounding_boxes, int seed, int seed2, IGraphNodeBase min_object_covered, ImplicitContainer<T> aspect_ratio_range, ValueTuple<double, object> area_range, int max_attempts, bool use_image_if_no_bounding_boxes, string name, Context ctx)

object sample_distorted_bounding_box_eager_fallback(IGraphNodeBase image_size, IGraphNodeBase bounding_boxes, int seed, int seed2, IGraphNodeBase min_object_covered, ValueTuple<double, object> aspect_ratio_range, ImplicitContainer<T> area_range, int max_attempts, bool use_image_if_no_bounding_boxes, string name, Context ctx)

object sample_distorted_bounding_box_eager_fallback(IGraphNodeBase image_size, IGraphNodeBase bounding_boxes, int seed, int seed2, double min_object_covered, ValueTuple<double, object> aspect_ratio_range, ImplicitContainer<T> area_range, int max_attempts, bool use_image_if_no_bounding_boxes, string name, Context ctx)

object sample_distorted_bounding_box_eager_fallback(IGraphNodeBase image_size, IGraphNodeBase bounding_boxes, int seed, int seed2, double min_object_covered, ImplicitContainer<T> aspect_ratio_range, ImplicitContainer<T> area_range, int max_attempts, bool use_image_if_no_bounding_boxes, string name, Context ctx)

object sample_distorted_bounding_box_eager_fallback(IGraphNodeBase image_size, IGraphNodeBase bounding_boxes, int seed, int seed2, double min_object_covered, ImplicitContainer<T> aspect_ratio_range, ValueTuple<double, object> area_range, int max_attempts, bool use_image_if_no_bounding_boxes, string name, Context ctx)

object sample_distorted_bounding_box_eager_fallback(IGraphNodeBase image_size, IGraphNodeBase bounding_boxes, int seed, int seed2, double min_object_covered, ValueTuple<double, object> aspect_ratio_range, ValueTuple<double, object> area_range, int max_attempts, bool use_image_if_no_bounding_boxes, string name, Context ctx)

object sample_distorted_bounding_box_eager_fallback(IGraphNodeBase image_size, IGraphNodeBase bounding_boxes, int seed, int seed2, IGraphNodeBase min_object_covered, ValueTuple<double, object> aspect_ratio_range, ValueTuple<double, object> area_range, int max_attempts, bool use_image_if_no_bounding_boxes, string name, Context ctx)

object sample_distorted_bounding_box_eager_fallback_dyn(object image_size, object bounding_boxes, ImplicitContainer<T> seed, ImplicitContainer<T> seed2, ImplicitContainer<T> min_object_covered, ImplicitContainer<T> aspect_ratio_range, ImplicitContainer<T> area_range, ImplicitContainer<T> max_attempts, ImplicitContainer<T> use_image_if_no_bounding_boxes, object name, object ctx)

object sample_distorted_bounding_box_v2(IGraphNodeBase image_size, IGraphNodeBase bounding_boxes, IGraphNodeBase min_object_covered, Nullable<int> seed, Nullable<int> seed2, ImplicitContainer<T> aspect_ratio_range, ImplicitContainer<T> area_range, Nullable<int> max_attempts, Nullable<bool> use_image_if_no_bounding_boxes, string name)

object sample_distorted_bounding_box_v2(IGraphNodeBase image_size, IGraphNodeBase bounding_boxes, IGraphNodeBase min_object_covered, Nullable<int> seed, Nullable<int> seed2, ValueTuple<double, object> aspect_ratio_range, ValueTuple<double, object> area_range, Nullable<int> max_attempts, Nullable<bool> use_image_if_no_bounding_boxes, string name)

object sample_distorted_bounding_box_v2(IGraphNodeBase image_size, IGraphNodeBase bounding_boxes, IGraphNodeBase min_object_covered, Nullable<int> seed, Nullable<int> seed2, ValueTuple<double, object> aspect_ratio_range, ImplicitContainer<T> area_range, Nullable<int> max_attempts, Nullable<bool> use_image_if_no_bounding_boxes, string name)

object sample_distorted_bounding_box_v2(IGraphNodeBase image_size, IGraphNodeBase bounding_boxes, IGraphNodeBase min_object_covered, Nullable<int> seed, Nullable<int> seed2, ImplicitContainer<T> aspect_ratio_range, ValueTuple<double, object> area_range, Nullable<int> max_attempts, Nullable<bool> use_image_if_no_bounding_boxes, string name)

object sample_distorted_bounding_box_v2_dyn(object image_size, object bounding_boxes, object min_object_covered, ImplicitContainer<T> seed, ImplicitContainer<T> seed2, ImplicitContainer<T> aspect_ratio_range, ImplicitContainer<T> area_range, ImplicitContainer<T> max_attempts, ImplicitContainer<T> use_image_if_no_bounding_boxes, object name)

object sample_distorted_bounding_box_v2_eager_fallback(IGraphNodeBase image_size, IGraphNodeBase bounding_boxes, IGraphNodeBase min_object_covered, Nullable<int> seed, Nullable<int> seed2, ImplicitContainer<T> aspect_ratio_range, ImplicitContainer<T> area_range, Nullable<int> max_attempts, Nullable<bool> use_image_if_no_bounding_boxes, string name, Context ctx)

object sample_distorted_bounding_box_v2_eager_fallback_dyn(object image_size, object bounding_boxes, object min_object_covered, ImplicitContainer<T> seed, ImplicitContainer<T> seed2, ImplicitContainer<T> aspect_ratio_range, ImplicitContainer<T> area_range, ImplicitContainer<T> max_attempts, ImplicitContainer<T> use_image_if_no_bounding_boxes, object name, object ctx)

Tensor scale_and_translate(IGraphNodeBase images, IGraphNodeBase size, IGraphNodeBase scale, IGraphNodeBase translation, string kernel_type, bool antialias, string name)

object scale_and_translate_dyn(object images, object size, object scale, object translation, ImplicitContainer<T> kernel_type, ImplicitContainer<T> antialias, object name)

object scale_and_translate_eager_fallback(IGraphNodeBase images, IGraphNodeBase size, IGraphNodeBase scale, IGraphNodeBase translation, Byte[] kernel_type, bool antialias, string name, Context ctx)

object scale_and_translate_eager_fallback(IGraphNodeBase images, IGraphNodeBase size, IGraphNodeBase scale, IGraphNodeBase translation, string kernel_type, bool antialias, string name, Context ctx)

object scale_and_translate_eager_fallback_dyn(object images, object size, object scale, object translation, ImplicitContainer<T> kernel_type, ImplicitContainer<T> antialias, object name, object ctx)

Tensor scale_and_translate_grad(IGraphNodeBase grads, IGraphNodeBase original_image, IGraphNodeBase scale, IGraphNodeBase translation, string kernel_type, bool antialias, string name)

object scale_and_translate_grad_dyn(object grads, object original_image, object scale, object translation, ImplicitContainer<T> kernel_type, ImplicitContainer<T> antialias, object name)

object scale_and_translate_grad_eager_fallback(IGraphNodeBase grads, IGraphNodeBase original_image, IGraphNodeBase scale, IGraphNodeBase translation, string kernel_type, bool antialias, string name, Context ctx)

object scale_and_translate_grad_eager_fallback(IGraphNodeBase grads, IGraphNodeBase original_image, IGraphNodeBase scale, IGraphNodeBase translation, Byte[] kernel_type, bool antialias, string name, Context ctx)

object scale_and_translate_grad_eager_fallback_dyn(object grads, object original_image, object scale, object translation, ImplicitContainer<T> kernel_type, ImplicitContainer<T> antialias, object name, object ctx)

PythonFunctionContainer adjust_contrast_eager_fallback_fn get;

PythonFunctionContainer adjust_contrast_fn get;

PythonFunctionContainer adjust_contrastv2_eager_fallback_fn get;

PythonFunctionContainer adjust_contrastv2_fn get;

PythonFunctionContainer adjust_hue_eager_fallback_fn get;

PythonFunctionContainer adjust_hue_fn get;

PythonFunctionContainer adjust_saturation_eager_fallback_fn get;

PythonFunctionContainer adjust_saturation_fn get;

PythonFunctionContainer combined_non_max_suppression_eager_fallback_fn get;

PythonFunctionContainer combined_non_max_suppression_fn get;

PythonFunctionContainer crop_and_resize_eager_fallback_fn get;

PythonFunctionContainer crop_and_resize_fn get;

PythonFunctionContainer crop_and_resize_grad_boxes_eager_fallback_fn get;

PythonFunctionContainer crop_and_resize_grad_boxes_fn get;

PythonFunctionContainer crop_and_resize_grad_image_eager_fallback_fn get;

PythonFunctionContainer crop_and_resize_grad_image_fn get;

PythonFunctionContainer decode_and_crop_jpeg_eager_fallback_fn get;

PythonFunctionContainer decode_bmp_eager_fallback_fn get;

PythonFunctionContainer decode_gif_eager_fallback_fn get;

PythonFunctionContainer decode_jpeg_eager_fallback_fn get;

PythonFunctionContainer decode_png_eager_fallback_fn get;

PythonFunctionContainer draw_bounding_boxes_eager_fallback_fn get;

PythonFunctionContainer draw_bounding_boxes_fn get;

PythonFunctionContainer draw_bounding_boxes_v2_eager_fallback_fn get;

PythonFunctionContainer draw_bounding_boxes_v2_fn get;

PythonFunctionContainer encode_jpeg_eager_fallback_fn get;

PythonFunctionContainer encode_jpeg_variable_quality_eager_fallback_fn get;

PythonFunctionContainer encode_jpeg_variable_quality_fn get;

PythonFunctionContainer encode_png_eager_fallback_fn get;

PythonFunctionContainer extract_glimpse_eager_fallback_fn get;

PythonFunctionContainer extract_glimpse_fn get;

PythonFunctionContainer extract_jpeg_shape_eager_fallback_fn get;

PythonFunctionContainer hsv_to_rgb_eager_fallback_fn get;

PythonFunctionContainer non_max_suppression_eager_fallback_fn get;

PythonFunctionContainer non_max_suppression_fn get;

PythonFunctionContainer non_max_suppression_v2_eager_fallback_fn get;

PythonFunctionContainer non_max_suppression_v2_fn get;

PythonFunctionContainer non_max_suppression_v3_eager_fallback_fn get;

PythonFunctionContainer non_max_suppression_v3_fn get;

PythonFunctionContainer non_max_suppression_v4_eager_fallback_fn get;

PythonFunctionContainer non_max_suppression_v4_fn get;

PythonFunctionContainer non_max_suppression_v5_eager_fallback_fn get;

PythonFunctionContainer non_max_suppression_v5_fn get;

PythonFunctionContainer non_max_suppression_with_overlaps_eager_fallback_fn get;

Methods

Properties

Public static methods

Tensor adjust_contrast(IGraphNodeBase images, IGraphNodeBase contrast_factor, IGraphNodeBase min_value, IGraphNodeBase max_value, string name)

object adjust_contrast_dyn(object images, object contrast_factor, object min_value, object max_value, object name)

object adjust_contrast_eager_fallback(IGraphNodeBase images, IGraphNodeBase contrast_factor, IGraphNodeBase min_value, IGraphNodeBase max_value, string name, Context ctx)

object adjust_contrast_eager_fallback_dyn(object images, object contrast_factor, object min_value, object max_value, object name, object ctx)

Tensor adjust_contrastv2(IGraphNodeBase images, IGraphNodeBase contrast_factor, PythonFunctionContainer name)

Tensor adjust_contrastv2(IGraphNodeBase images, IGraphNodeBase contrast_factor, string name)

object adjust_contrastv2_dyn(object images, object contrast_factor, object name)

object adjust_contrastv2_eager_fallback(IGraphNodeBase images, IGraphNodeBase contrast_factor, string name, Context ctx)

object adjust_contrastv2_eager_fallback_dyn(object images, object contrast_factor, object name, object ctx)

Tensor adjust_hue(IGraphNodeBase images, IGraphNodeBase delta, string name)

Parameters

Returns

object adjust_hue_dyn(object images, object delta, object name)

Parameters

Returns

object adjust_hue_eager_fallback(IGraphNodeBase images, IGraphNodeBase delta, string name, Context ctx)

object adjust_hue_eager_fallback_dyn(object images, object delta, object name, object ctx)

Tensor adjust_saturation(IGraphNodeBase images, IGraphNodeBase scale, string name)

Parameters

Returns

object adjust_saturation_dyn(object images, object scale, object name)

Parameters

Returns

object adjust_saturation_eager_fallback(IGraphNodeBase images, IGraphNodeBase scale, string name, Context ctx)

object adjust_saturation_eager_fallback_dyn(object images, object scale, object name, object ctx)

object combined_non_max_suppression(IGraphNodeBase boxes, IGraphNodeBase scores, IGraphNodeBase max_output_size_per_class, IGraphNodeBase max_total_size, IGraphNodeBase iou_threshold, IGraphNodeBase score_threshold, bool pad_per_class, bool clip_boxes, string name)

object combined_non_max_suppression_dyn(object boxes, object scores, object max_output_size_per_class, object max_total_size, object iou_threshold, object score_threshold, ImplicitContainer<T> pad_per_class, ImplicitContainer<T> clip_boxes, object name)

object combined_non_max_suppression_eager_fallback(IGraphNodeBase boxes, IGraphNodeBase scores, IGraphNodeBase max_output_size_per_class, IGraphNodeBase max_total_size, IGraphNodeBase iou_threshold, IGraphNodeBase score_threshold, bool pad_per_class, bool clip_boxes, string name, Context ctx)

object combined_non_max_suppression_eager_fallback_dyn(object boxes, object scores, object max_output_size_per_class, object max_total_size, object iou_threshold, object score_threshold, ImplicitContainer<T> pad_per_class, ImplicitContainer<T> clip_boxes, object name, object ctx)

Tensor crop_and_resize(IGraphNodeBase image, IGraphNodeBase boxes, IGraphNodeBase box_ind, IGraphNodeBase crop_size, string method, int extrapolation_value, string name)

object crop_and_resize_eager_fallback(IGraphNodeBase image, IGraphNodeBase boxes, IGraphNodeBase box_ind, IGraphNodeBase crop_size, string method, double extrapolation_value, string name, Context ctx)

object crop_and_resize_eager_fallback(IGraphNodeBase image, IGraphNodeBase boxes, IGraphNodeBase box_ind, IGraphNodeBase crop_size, Byte[] method, int extrapolation_value, string name, Context ctx)

object crop_and_resize_eager_fallback(IGraphNodeBase image, IGraphNodeBase boxes, IGraphNodeBase box_ind, IGraphNodeBase crop_size, string method, int extrapolation_value, string name, Context ctx)

object crop_and_resize_eager_fallback(IGraphNodeBase image, IGraphNodeBase boxes, IGraphNodeBase box_ind, IGraphNodeBase crop_size, Byte[] method, double extrapolation_value, string name, Context ctx)

object crop_and_resize_eager_fallback_dyn(object image, object boxes, object box_ind, object crop_size, ImplicitContainer<T> method, ImplicitContainer<T> extrapolation_value, object name, object ctx)

Tensor crop_and_resize_grad_boxes(IGraphNodeBase grads, IGraphNodeBase image, IGraphNodeBase boxes, IGraphNodeBase box_ind, string method, string name)

object crop_and_resize_grad_boxes_dyn(object grads, object image, object boxes, object box_ind, ImplicitContainer<T> method, object name)

object crop_and_resize_grad_boxes_eager_fallback(IGraphNodeBase grads, IGraphNodeBase image, IGraphNodeBase boxes, IGraphNodeBase box_ind, Byte[] method, string name, Context ctx)

object crop_and_resize_grad_boxes_eager_fallback(IGraphNodeBase grads, IGraphNodeBase image, IGraphNodeBase boxes, IGraphNodeBase box_ind, string method, string name, Context ctx)

object crop_and_resize_grad_boxes_eager_fallback_dyn(object grads, object image, object boxes, object box_ind, ImplicitContainer<T> method, object name, object ctx)

Tensor crop_and_resize_grad_image(IGraphNodeBase grads, IGraphNodeBase boxes, IGraphNodeBase box_ind, IGraphNodeBase image_size, object T, string method, string name)

object crop_and_resize_grad_image_dyn(object grads, object boxes, object box_ind, object image_size, object T, ImplicitContainer<T> method, object name)

object crop_and_resize_grad_image_eager_fallback(IGraphNodeBase grads, IGraphNodeBase boxes, IGraphNodeBase box_ind, IGraphNodeBase image_size, int T, Byte[] method, string name, Context ctx)

object crop_and_resize_grad_image_eager_fallback(IGraphNodeBase grads, IGraphNodeBase boxes, IGraphNodeBase box_ind, IGraphNodeBase image_size, int T, string method, string name, Context ctx)

object crop_and_resize_grad_image_eager_fallback_dyn(object grads, object boxes, object box_ind, object image_size, object T, ImplicitContainer<T> method, object name, object ctx)

object decode_and_crop_jpeg_eager_fallback(IGraphNodeBase contents, IGraphNodeBase crop_window, int channels, int ratio, bool fancy_upscaling, bool try_recover_truncated, int acceptable_fraction, Byte[] dct_method, string name, Context ctx)

object decode_and_crop_jpeg_eager_fallback(IGraphNodeBase contents, IGraphNodeBase crop_window, int channels, int ratio, bool fancy_upscaling, bool try_recover_truncated, double acceptable_fraction, Byte[] dct_method, string name, Context ctx)

object decode_and_crop_jpeg_eager_fallback(IGraphNodeBase contents, IGraphNodeBase crop_window, int channels, int ratio, bool fancy_upscaling, bool try_recover_truncated, int acceptable_fraction, string dct_method, string name, Context ctx)

object decode_and_crop_jpeg_eager_fallback(IGraphNodeBase contents, IGraphNodeBase crop_window, int channels, int ratio, bool fancy_upscaling, bool try_recover_truncated, double acceptable_fraction, string dct_method, string name, Context ctx)

object decode_bmp_eager_fallback(IGraphNodeBase contents, int channels, string name, Context ctx)

object decode_bmp_eager_fallback_dyn(object contents, ImplicitContainer<T> channels, object name, object ctx)

object decode_gif_eager_fallback(IGraphNodeBase contents, string name, Context ctx)

object decode_gif_eager_fallback_dyn(object contents, object name, object ctx)

object decode_jpeg_eager_fallback(IGraphNodeBase contents, Nullable<int> channels, int ratio, bool fancy_upscaling, bool try_recover_truncated, int acceptable_fraction, string dct_method, string name, Context ctx)

object decode_jpeg_eager_fallback(IGraphNodeBase contents, Nullable<int> channels, int ratio, bool fancy_upscaling, bool try_recover_truncated, int acceptable_fraction, Byte[] dct_method, string name, Context ctx)

object decode_jpeg_eager_fallback(IGraphNodeBase contents, Nullable<int> channels, int ratio, bool fancy_upscaling, bool try_recover_truncated, double acceptable_fraction, string dct_method, string name, Context ctx)

object decode_jpeg_eager_fallback(IGraphNodeBase contents, Nullable<int> channels, int ratio, bool fancy_upscaling, bool try_recover_truncated, double acceptable_fraction, Byte[] dct_method, string name, Context ctx)

object decode_jpeg_eager_fallback_dyn(object contents, ImplicitContainer<T> channels, ImplicitContainer<T> ratio, ImplicitContainer<T> fancy_upscaling, ImplicitContainer<T> try_recover_truncated, ImplicitContainer<T> acceptable_fraction, ImplicitContainer<T> dct_method, object name, object ctx)

object decode_png_eager_fallback(IGraphNodeBase contents, Nullable<int> channels, ImplicitContainer<T> dtype, string name, Context ctx)

object decode_png_eager_fallback_dyn(object contents, ImplicitContainer<T> channels, ImplicitContainer<T> dtype, object name, object ctx)

Tensor draw_bounding_boxes(IGraphNodeBase images, IGraphNodeBase boxes, string name)

object draw_bounding_boxes_dyn(object images, object boxes, object name)

object draw_bounding_boxes_eager_fallback(IGraphNodeBase images, IGraphNodeBase boxes, string name, Context ctx)

object draw_bounding_boxes_eager_fallback_dyn(object images, object boxes, object name, object ctx)

Tensor draw_bounding_boxes_v2(IGraphNodeBase images, IGraphNodeBase boxes, IGraphNodeBase colors, string name)

object draw_bounding_boxes_v2_dyn(object images, object boxes, object colors, object name)

object draw_bounding_boxes_v2_eager_fallback(IGraphNodeBase images, IGraphNodeBase boxes, IGraphNodeBase colors, string name, Context ctx)

object draw_bounding_boxes_v2_eager_fallback_dyn(object images, object boxes, object colors, object name, object ctx)

object encode_jpeg_eager_fallback(IGraphNodeBase image, string format, IGraphNodeBase quality, bool progressive, bool optimize_size, bool chroma_downsampling, string density_unit, int x_density, int y_density, Byte[] xmp_metadata, string name, Context ctx)

object encode_jpeg_eager_fallback(IGraphNodeBase image, string format, IGraphNodeBase quality, bool progressive, bool optimize_size, bool chroma_downsampling, Byte[] density_unit, int x_density, int y_density, string xmp_metadata, string name, Context ctx)

object encode_jpeg_eager_fallback(IGraphNodeBase image, string format, IGraphNodeBase quality, bool progressive, bool optimize_size, bool chroma_downsampling, Byte[] density_unit, int x_density, int y_density, Byte[] xmp_metadata, string name, Context ctx)

object encode_jpeg_eager_fallback(IGraphNodeBase image, Byte[] format, IGraphNodeBase quality, bool progressive, bool optimize_size, bool chroma_downsampling, string density_unit, int x_density, int y_density, string xmp_metadata, string name, Context ctx)

object encode_jpeg_eager_fallback(IGraphNodeBase image, string format, IGraphNodeBase quality, bool progressive, bool optimize_size, bool chroma_downsampling, string density_unit, int x_density, int y_density, string xmp_metadata, string name, Context ctx)

object encode_jpeg_eager_fallback(IGraphNodeBase image, Byte[] format, int quality, bool progressive, bool optimize_size, bool chroma_downsampling, Byte[] density_unit, int x_density, int y_density, Byte[] xmp_metadata, string name, Context ctx)

object encode_jpeg_eager_fallback(IGraphNodeBase image, string format, int quality, bool progressive, bool optimize_size, bool chroma_downsampling, string density_unit, int x_density, int y_density, string xmp_metadata, string name, Context ctx)

object encode_jpeg_eager_fallback(IGraphNodeBase image, Byte[] format, int quality, bool progressive, bool optimize_size, bool chroma_downsampling, Byte[] density_unit, int x_density, int y_density, string xmp_metadata, string name, Context ctx)

object encode_jpeg_eager_fallback(IGraphNodeBase image, string format, int quality, bool progressive, bool optimize_size, bool chroma_downsampling, string density_unit, int x_density, int y_density, Byte[] xmp_metadata, string name, Context ctx)