Crate ssvm_tensorflow_interface

How to use this crate

Adding this as a dependency

[dependencies]
ssvm_tensorflow_interface = "^0.1.1"

Bringing this into scope

use ssvm_tensorflow_interface;

Structs

Tensors

The output tensor structure.

Functions

load_jpg_image_to_bgr8	Convert JPEG image in memory into bgr u8 vector.
load_jpg_image_to_bgr32f	Convert JPEG image in memory into bgr f32 vector.
load_jpg_image_to_rgb8	Convert JPEG image in memory into rgb u8 vector.
load_jpg_image_to_rgb32f	Convert JPEG image in memory into rgb f32 vector.
load_png_image_to_bgr8	Convert PNG image in memory into bgr u8 vector.
load_png_image_to_bgr32f	Convert PNG image in memory into bgr f32 vector.
load_png_image_to_rgb8	Convert PNG image in memory into rgb u8 vector.
load_png_image_to_rgb32f	Convert PNG image in memory into rgb f32 vector.
run_tensorflow_vision	Run tensorflow model with image input tensor.
ssvm_tensorflow_append_input⚠
ssvm_tensorflow_append_output⚠
ssvm_tensorflow_clear_input⚠
ssvm_tensorflow_clear_output⚠
ssvm_tensorflow_get_result⚠
ssvm_tensorflow_get_result_len⚠
ssvm_tensorflow_load_jpg_to_bgr8⚠
ssvm_tensorflow_load_jpg_to_bgr32f⚠
ssvm_tensorflow_load_jpg_to_rgb8⚠
ssvm_tensorflow_load_jpg_to_rgb32f⚠
ssvm_tensorflow_load_png_to_bgr8⚠
ssvm_tensorflow_load_png_to_bgr32f⚠
ssvm_tensorflow_load_png_to_rgb8⚠
ssvm_tensorflow_load_png_to_rgb32f⚠
ssvm_tensorflow_run_vision⚠