#[allow(unused_imports)]
use super::*;
#[doc(hidden)]
impl serde::ser::Serialize for super::ImageClassificationPredictionParams {
fn serialize<S>(&self, serializer: S) -> std::result::Result<S::Ok, S::Error>
where
S: serde::ser::Serializer,
{
use serde::ser::SerializeMap;
#[allow(unused_imports)]
use std::option::Option::Some;
let mut state = serializer.serialize_map(std::option::Option::None)?;
if !wkt::internal::is_default(&self.confidence_threshold) {
struct __With<'a>(&'a f32);
impl<'a> serde::ser::Serialize for __With<'a> {
fn serialize<S>(&self, serializer: S) -> std::result::Result<S::Ok, S::Error>
where
S: serde::ser::Serializer,
{
serde_with::As::<wkt::internal::F32>::serialize(self.0, serializer)
}
}
state.serialize_entry("confidenceThreshold", &__With(&self.confidence_threshold))?;
}
if !wkt::internal::is_default(&self.max_predictions) {
struct __With<'a>(&'a i32);
impl<'a> serde::ser::Serialize for __With<'a> {
fn serialize<S>(&self, serializer: S) -> std::result::Result<S::Ok, S::Error>
where
S: serde::ser::Serializer,
{
serde_with::As::<wkt::internal::I32>::serialize(self.0, serializer)
}
}
state.serialize_entry("maxPredictions", &__With(&self.max_predictions))?;
}
if !self._unknown_fields.is_empty() {
for (key, value) in self._unknown_fields.iter() {
state.serialize_entry(key, &value)?;
}
}
state.end()
}
}
#[doc(hidden)]
impl serde::ser::Serialize for super::ImageObjectDetectionPredictionParams {
fn serialize<S>(&self, serializer: S) -> std::result::Result<S::Ok, S::Error>
where
S: serde::ser::Serializer,
{
use serde::ser::SerializeMap;
#[allow(unused_imports)]
use std::option::Option::Some;
let mut state = serializer.serialize_map(std::option::Option::None)?;
if !wkt::internal::is_default(&self.confidence_threshold) {
struct __With<'a>(&'a f32);
impl<'a> serde::ser::Serialize for __With<'a> {
fn serialize<S>(&self, serializer: S) -> std::result::Result<S::Ok, S::Error>
where
S: serde::ser::Serializer,
{
serde_with::As::<wkt::internal::F32>::serialize(self.0, serializer)
}
}
state.serialize_entry("confidenceThreshold", &__With(&self.confidence_threshold))?;
}
if !wkt::internal::is_default(&self.max_predictions) {
struct __With<'a>(&'a i32);
impl<'a> serde::ser::Serialize for __With<'a> {
fn serialize<S>(&self, serializer: S) -> std::result::Result<S::Ok, S::Error>
where
S: serde::ser::Serializer,
{
serde_with::As::<wkt::internal::I32>::serialize(self.0, serializer)
}
}
state.serialize_entry("maxPredictions", &__With(&self.max_predictions))?;
}
if !self._unknown_fields.is_empty() {
for (key, value) in self._unknown_fields.iter() {
state.serialize_entry(key, &value)?;
}
}
state.end()
}
}
#[doc(hidden)]
impl serde::ser::Serialize for super::ImageSegmentationPredictionParams {
fn serialize<S>(&self, serializer: S) -> std::result::Result<S::Ok, S::Error>
where
S: serde::ser::Serializer,
{
use serde::ser::SerializeMap;
#[allow(unused_imports)]
use std::option::Option::Some;
let mut state = serializer.serialize_map(std::option::Option::None)?;
if !wkt::internal::is_default(&self.confidence_threshold) {
struct __With<'a>(&'a f32);
impl<'a> serde::ser::Serialize for __With<'a> {
fn serialize<S>(&self, serializer: S) -> std::result::Result<S::Ok, S::Error>
where
S: serde::ser::Serializer,
{
serde_with::As::<wkt::internal::F32>::serialize(self.0, serializer)
}
}
state.serialize_entry("confidenceThreshold", &__With(&self.confidence_threshold))?;
}
if !self._unknown_fields.is_empty() {
for (key, value) in self._unknown_fields.iter() {
state.serialize_entry(key, &value)?;
}
}
state.end()
}
}
#[doc(hidden)]
impl serde::ser::Serialize for super::VideoActionRecognitionPredictionParams {
fn serialize<S>(&self, serializer: S) -> std::result::Result<S::Ok, S::Error>
where
S: serde::ser::Serializer,
{
use serde::ser::SerializeMap;
#[allow(unused_imports)]
use std::option::Option::Some;
let mut state = serializer.serialize_map(std::option::Option::None)?;
if !wkt::internal::is_default(&self.confidence_threshold) {
struct __With<'a>(&'a f32);
impl<'a> serde::ser::Serialize for __With<'a> {
fn serialize<S>(&self, serializer: S) -> std::result::Result<S::Ok, S::Error>
where
S: serde::ser::Serializer,
{
serde_with::As::<wkt::internal::F32>::serialize(self.0, serializer)
}
}
state.serialize_entry("confidenceThreshold", &__With(&self.confidence_threshold))?;
}
if !wkt::internal::is_default(&self.max_predictions) {
struct __With<'a>(&'a i32);
impl<'a> serde::ser::Serialize for __With<'a> {
fn serialize<S>(&self, serializer: S) -> std::result::Result<S::Ok, S::Error>
where
S: serde::ser::Serializer,
{
serde_with::As::<wkt::internal::I32>::serialize(self.0, serializer)
}
}
state.serialize_entry("maxPredictions", &__With(&self.max_predictions))?;
}
if !self._unknown_fields.is_empty() {
for (key, value) in self._unknown_fields.iter() {
state.serialize_entry(key, &value)?;
}
}
state.end()
}
}
#[doc(hidden)]
impl serde::ser::Serialize for super::VideoClassificationPredictionParams {
fn serialize<S>(&self, serializer: S) -> std::result::Result<S::Ok, S::Error>
where
S: serde::ser::Serializer,
{
use serde::ser::SerializeMap;
#[allow(unused_imports)]
use std::option::Option::Some;
let mut state = serializer.serialize_map(std::option::Option::None)?;
if !wkt::internal::is_default(&self.confidence_threshold) {
struct __With<'a>(&'a f32);
impl<'a> serde::ser::Serialize for __With<'a> {
fn serialize<S>(&self, serializer: S) -> std::result::Result<S::Ok, S::Error>
where
S: serde::ser::Serializer,
{
serde_with::As::<wkt::internal::F32>::serialize(self.0, serializer)
}
}
state.serialize_entry("confidenceThreshold", &__With(&self.confidence_threshold))?;
}
if !wkt::internal::is_default(&self.max_predictions) {
struct __With<'a>(&'a i32);
impl<'a> serde::ser::Serialize for __With<'a> {
fn serialize<S>(&self, serializer: S) -> std::result::Result<S::Ok, S::Error>
where
S: serde::ser::Serializer,
{
serde_with::As::<wkt::internal::I32>::serialize(self.0, serializer)
}
}
state.serialize_entry("maxPredictions", &__With(&self.max_predictions))?;
}
if !wkt::internal::is_default(&self.segment_classification) {
state.serialize_entry("segmentClassification", &self.segment_classification)?;
}
if !wkt::internal::is_default(&self.shot_classification) {
state.serialize_entry("shotClassification", &self.shot_classification)?;
}
if !wkt::internal::is_default(&self.one_sec_interval_classification) {
state.serialize_entry(
"oneSecIntervalClassification",
&self.one_sec_interval_classification,
)?;
}
if !self._unknown_fields.is_empty() {
for (key, value) in self._unknown_fields.iter() {
state.serialize_entry(key, &value)?;
}
}
state.end()
}
}
#[doc(hidden)]
impl serde::ser::Serialize for super::VideoObjectTrackingPredictionParams {
fn serialize<S>(&self, serializer: S) -> std::result::Result<S::Ok, S::Error>
where
S: serde::ser::Serializer,
{
use serde::ser::SerializeMap;
#[allow(unused_imports)]
use std::option::Option::Some;
let mut state = serializer.serialize_map(std::option::Option::None)?;
if !wkt::internal::is_default(&self.confidence_threshold) {
struct __With<'a>(&'a f32);
impl<'a> serde::ser::Serialize for __With<'a> {
fn serialize<S>(&self, serializer: S) -> std::result::Result<S::Ok, S::Error>
where
S: serde::ser::Serializer,
{
serde_with::As::<wkt::internal::F32>::serialize(self.0, serializer)
}
}
state.serialize_entry("confidenceThreshold", &__With(&self.confidence_threshold))?;
}
if !wkt::internal::is_default(&self.max_predictions) {
struct __With<'a>(&'a i32);
impl<'a> serde::ser::Serialize for __With<'a> {
fn serialize<S>(&self, serializer: S) -> std::result::Result<S::Ok, S::Error>
where
S: serde::ser::Serializer,
{
serde_with::As::<wkt::internal::I32>::serialize(self.0, serializer)
}
}
state.serialize_entry("maxPredictions", &__With(&self.max_predictions))?;
}
if !wkt::internal::is_default(&self.min_bounding_box_size) {
struct __With<'a>(&'a f32);
impl<'a> serde::ser::Serialize for __With<'a> {
fn serialize<S>(&self, serializer: S) -> std::result::Result<S::Ok, S::Error>
where
S: serde::ser::Serializer,
{
serde_with::As::<wkt::internal::F32>::serialize(self.0, serializer)
}
}
state.serialize_entry("minBoundingBoxSize", &__With(&self.min_bounding_box_size))?;
}
if !self._unknown_fields.is_empty() {
for (key, value) in self._unknown_fields.iter() {
state.serialize_entry(key, &value)?;
}
}
state.end()
}
}