google-cloud-aiplatform-v1-schema-predict-params 1.4.0

Google Cloud Client Libraries for Rust - Vertex AI API
Documentation
// Copyright 2025 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     https://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
// Code generated by sidekick. DO NOT EDIT.

#[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()
    }
}