google_cloud_aiplatform_v1_schema_predict_instance/
model.rs

1// Copyright 2025 Google LLC
2//
3// Licensed under the Apache License, Version 2.0 (the "License");
4// you may not use this file except in compliance with the License.
5// You may obtain a copy of the License at
6//
7//     https://www.apache.org/licenses/LICENSE-2.0
8//
9// Unless required by applicable law or agreed to in writing, software
10// distributed under the License is distributed on an "AS IS" BASIS,
11// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12// See the License for the specific language governing permissions and
13// limitations under the License.
14//
15// Code generated by sidekick. DO NOT EDIT.
16
17#![allow(rustdoc::bare_urls)]
18#![allow(rustdoc::broken_intra_doc_links)]
19#![allow(rustdoc::invalid_html_tags)]
20#![allow(rustdoc::redundant_explicit_links)]
21#![no_implicit_prelude]
22extern crate bytes;
23extern crate serde;
24extern crate serde_json;
25extern crate serde_with;
26extern crate std;
27extern crate wkt;
28
29mod debug;
30mod deserialize;
31mod serialize;
32
33/// Prediction input format for Image Classification.
34#[derive(Clone, Default, PartialEq)]
35#[non_exhaustive]
36pub struct ImageClassificationPredictionInstance {
37    /// The image bytes or Cloud Storage URI to make the prediction on.
38    pub content: std::string::String,
39
40    /// The MIME type of the content of the image. Only the images in below listed
41    /// MIME types are supported.
42    ///
43    /// - image/jpeg
44    /// - image/gif
45    /// - image/png
46    /// - image/webp
47    /// - image/bmp
48    /// - image/tiff
49    /// - image/vnd.microsoft.icon
50    pub mime_type: std::string::String,
51
52    pub(crate) _unknown_fields: serde_json::Map<std::string::String, serde_json::Value>,
53}
54
55impl ImageClassificationPredictionInstance {
56    /// Creates a new default instance.
57    pub fn new() -> Self {
58        std::default::Default::default()
59    }
60
61    /// Sets the value of [content][crate::model::ImageClassificationPredictionInstance::content].
62    ///
63    /// # Example
64    /// ```ignore,no_run
65    /// # use google_cloud_aiplatform_v1_schema_predict_instance::model::ImageClassificationPredictionInstance;
66    /// let x = ImageClassificationPredictionInstance::new().set_content("example");
67    /// ```
68    pub fn set_content<T: std::convert::Into<std::string::String>>(mut self, v: T) -> Self {
69        self.content = v.into();
70        self
71    }
72
73    /// Sets the value of [mime_type][crate::model::ImageClassificationPredictionInstance::mime_type].
74    ///
75    /// # Example
76    /// ```ignore,no_run
77    /// # use google_cloud_aiplatform_v1_schema_predict_instance::model::ImageClassificationPredictionInstance;
78    /// let x = ImageClassificationPredictionInstance::new().set_mime_type("example");
79    /// ```
80    pub fn set_mime_type<T: std::convert::Into<std::string::String>>(mut self, v: T) -> Self {
81        self.mime_type = v.into();
82        self
83    }
84}
85
86impl wkt::message::Message for ImageClassificationPredictionInstance {
87    fn typename() -> &'static str {
88        "type.googleapis.com/google.cloud.aiplatform.v1.schema.predict.instance.ImageClassificationPredictionInstance"
89    }
90}
91
92/// Prediction input format for Image Object Detection.
93#[derive(Clone, Default, PartialEq)]
94#[non_exhaustive]
95pub struct ImageObjectDetectionPredictionInstance {
96    /// The image bytes or Cloud Storage URI to make the prediction on.
97    pub content: std::string::String,
98
99    /// The MIME type of the content of the image. Only the images in below listed
100    /// MIME types are supported.
101    ///
102    /// - image/jpeg
103    /// - image/gif
104    /// - image/png
105    /// - image/webp
106    /// - image/bmp
107    /// - image/tiff
108    /// - image/vnd.microsoft.icon
109    pub mime_type: std::string::String,
110
111    pub(crate) _unknown_fields: serde_json::Map<std::string::String, serde_json::Value>,
112}
113
114impl ImageObjectDetectionPredictionInstance {
115    /// Creates a new default instance.
116    pub fn new() -> Self {
117        std::default::Default::default()
118    }
119
120    /// Sets the value of [content][crate::model::ImageObjectDetectionPredictionInstance::content].
121    ///
122    /// # Example
123    /// ```ignore,no_run
124    /// # use google_cloud_aiplatform_v1_schema_predict_instance::model::ImageObjectDetectionPredictionInstance;
125    /// let x = ImageObjectDetectionPredictionInstance::new().set_content("example");
126    /// ```
127    pub fn set_content<T: std::convert::Into<std::string::String>>(mut self, v: T) -> Self {
128        self.content = v.into();
129        self
130    }
131
132    /// Sets the value of [mime_type][crate::model::ImageObjectDetectionPredictionInstance::mime_type].
133    ///
134    /// # Example
135    /// ```ignore,no_run
136    /// # use google_cloud_aiplatform_v1_schema_predict_instance::model::ImageObjectDetectionPredictionInstance;
137    /// let x = ImageObjectDetectionPredictionInstance::new().set_mime_type("example");
138    /// ```
139    pub fn set_mime_type<T: std::convert::Into<std::string::String>>(mut self, v: T) -> Self {
140        self.mime_type = v.into();
141        self
142    }
143}
144
145impl wkt::message::Message for ImageObjectDetectionPredictionInstance {
146    fn typename() -> &'static str {
147        "type.googleapis.com/google.cloud.aiplatform.v1.schema.predict.instance.ImageObjectDetectionPredictionInstance"
148    }
149}
150
151/// Prediction input format for Image Segmentation.
152#[derive(Clone, Default, PartialEq)]
153#[non_exhaustive]
154pub struct ImageSegmentationPredictionInstance {
155    /// The image bytes to make the predictions on.
156    pub content: std::string::String,
157
158    /// The MIME type of the content of the image. Only the images in below listed
159    /// MIME types are supported.
160    ///
161    /// - image/jpeg
162    /// - image/png
163    pub mime_type: std::string::String,
164
165    pub(crate) _unknown_fields: serde_json::Map<std::string::String, serde_json::Value>,
166}
167
168impl ImageSegmentationPredictionInstance {
169    /// Creates a new default instance.
170    pub fn new() -> Self {
171        std::default::Default::default()
172    }
173
174    /// Sets the value of [content][crate::model::ImageSegmentationPredictionInstance::content].
175    ///
176    /// # Example
177    /// ```ignore,no_run
178    /// # use google_cloud_aiplatform_v1_schema_predict_instance::model::ImageSegmentationPredictionInstance;
179    /// let x = ImageSegmentationPredictionInstance::new().set_content("example");
180    /// ```
181    pub fn set_content<T: std::convert::Into<std::string::String>>(mut self, v: T) -> Self {
182        self.content = v.into();
183        self
184    }
185
186    /// Sets the value of [mime_type][crate::model::ImageSegmentationPredictionInstance::mime_type].
187    ///
188    /// # Example
189    /// ```ignore,no_run
190    /// # use google_cloud_aiplatform_v1_schema_predict_instance::model::ImageSegmentationPredictionInstance;
191    /// let x = ImageSegmentationPredictionInstance::new().set_mime_type("example");
192    /// ```
193    pub fn set_mime_type<T: std::convert::Into<std::string::String>>(mut self, v: T) -> Self {
194        self.mime_type = v.into();
195        self
196    }
197}
198
199impl wkt::message::Message for ImageSegmentationPredictionInstance {
200    fn typename() -> &'static str {
201        "type.googleapis.com/google.cloud.aiplatform.v1.schema.predict.instance.ImageSegmentationPredictionInstance"
202    }
203}
204
205/// Prediction input format for Text Classification.
206#[derive(Clone, Default, PartialEq)]
207#[non_exhaustive]
208pub struct TextClassificationPredictionInstance {
209    /// The text snippet to make the predictions on.
210    pub content: std::string::String,
211
212    /// The MIME type of the text snippet. The supported MIME types are listed
213    /// below.
214    ///
215    /// - text/plain
216    pub mime_type: std::string::String,
217
218    pub(crate) _unknown_fields: serde_json::Map<std::string::String, serde_json::Value>,
219}
220
221impl TextClassificationPredictionInstance {
222    /// Creates a new default instance.
223    pub fn new() -> Self {
224        std::default::Default::default()
225    }
226
227    /// Sets the value of [content][crate::model::TextClassificationPredictionInstance::content].
228    ///
229    /// # Example
230    /// ```ignore,no_run
231    /// # use google_cloud_aiplatform_v1_schema_predict_instance::model::TextClassificationPredictionInstance;
232    /// let x = TextClassificationPredictionInstance::new().set_content("example");
233    /// ```
234    pub fn set_content<T: std::convert::Into<std::string::String>>(mut self, v: T) -> Self {
235        self.content = v.into();
236        self
237    }
238
239    /// Sets the value of [mime_type][crate::model::TextClassificationPredictionInstance::mime_type].
240    ///
241    /// # Example
242    /// ```ignore,no_run
243    /// # use google_cloud_aiplatform_v1_schema_predict_instance::model::TextClassificationPredictionInstance;
244    /// let x = TextClassificationPredictionInstance::new().set_mime_type("example");
245    /// ```
246    pub fn set_mime_type<T: std::convert::Into<std::string::String>>(mut self, v: T) -> Self {
247        self.mime_type = v.into();
248        self
249    }
250}
251
252impl wkt::message::Message for TextClassificationPredictionInstance {
253    fn typename() -> &'static str {
254        "type.googleapis.com/google.cloud.aiplatform.v1.schema.predict.instance.TextClassificationPredictionInstance"
255    }
256}
257
258/// Prediction input format for Text Extraction.
259#[derive(Clone, Default, PartialEq)]
260#[non_exhaustive]
261pub struct TextExtractionPredictionInstance {
262    /// The text snippet to make the predictions on.
263    pub content: std::string::String,
264
265    /// The MIME type of the text snippet. The supported MIME types are listed
266    /// below.
267    ///
268    /// - text/plain
269    pub mime_type: std::string::String,
270
271    /// This field is only used for batch prediction. If a key is provided, the
272    /// batch prediction result will by mapped to this key. If omitted, then the
273    /// batch prediction result will contain the entire input instance. Vertex AI
274    /// will not check if keys in the request are duplicates, so it is up to the
275    /// caller to ensure the keys are unique.
276    pub key: std::string::String,
277
278    pub(crate) _unknown_fields: serde_json::Map<std::string::String, serde_json::Value>,
279}
280
281impl TextExtractionPredictionInstance {
282    /// Creates a new default instance.
283    pub fn new() -> Self {
284        std::default::Default::default()
285    }
286
287    /// Sets the value of [content][crate::model::TextExtractionPredictionInstance::content].
288    ///
289    /// # Example
290    /// ```ignore,no_run
291    /// # use google_cloud_aiplatform_v1_schema_predict_instance::model::TextExtractionPredictionInstance;
292    /// let x = TextExtractionPredictionInstance::new().set_content("example");
293    /// ```
294    pub fn set_content<T: std::convert::Into<std::string::String>>(mut self, v: T) -> Self {
295        self.content = v.into();
296        self
297    }
298
299    /// Sets the value of [mime_type][crate::model::TextExtractionPredictionInstance::mime_type].
300    ///
301    /// # Example
302    /// ```ignore,no_run
303    /// # use google_cloud_aiplatform_v1_schema_predict_instance::model::TextExtractionPredictionInstance;
304    /// let x = TextExtractionPredictionInstance::new().set_mime_type("example");
305    /// ```
306    pub fn set_mime_type<T: std::convert::Into<std::string::String>>(mut self, v: T) -> Self {
307        self.mime_type = v.into();
308        self
309    }
310
311    /// Sets the value of [key][crate::model::TextExtractionPredictionInstance::key].
312    ///
313    /// # Example
314    /// ```ignore,no_run
315    /// # use google_cloud_aiplatform_v1_schema_predict_instance::model::TextExtractionPredictionInstance;
316    /// let x = TextExtractionPredictionInstance::new().set_key("example");
317    /// ```
318    pub fn set_key<T: std::convert::Into<std::string::String>>(mut self, v: T) -> Self {
319        self.key = v.into();
320        self
321    }
322}
323
324impl wkt::message::Message for TextExtractionPredictionInstance {
325    fn typename() -> &'static str {
326        "type.googleapis.com/google.cloud.aiplatform.v1.schema.predict.instance.TextExtractionPredictionInstance"
327    }
328}
329
330/// Prediction input format for Text Sentiment.
331#[derive(Clone, Default, PartialEq)]
332#[non_exhaustive]
333pub struct TextSentimentPredictionInstance {
334    /// The text snippet to make the predictions on.
335    pub content: std::string::String,
336
337    /// The MIME type of the text snippet. The supported MIME types are listed
338    /// below.
339    ///
340    /// - text/plain
341    pub mime_type: std::string::String,
342
343    pub(crate) _unknown_fields: serde_json::Map<std::string::String, serde_json::Value>,
344}
345
346impl TextSentimentPredictionInstance {
347    /// Creates a new default instance.
348    pub fn new() -> Self {
349        std::default::Default::default()
350    }
351
352    /// Sets the value of [content][crate::model::TextSentimentPredictionInstance::content].
353    ///
354    /// # Example
355    /// ```ignore,no_run
356    /// # use google_cloud_aiplatform_v1_schema_predict_instance::model::TextSentimentPredictionInstance;
357    /// let x = TextSentimentPredictionInstance::new().set_content("example");
358    /// ```
359    pub fn set_content<T: std::convert::Into<std::string::String>>(mut self, v: T) -> Self {
360        self.content = v.into();
361        self
362    }
363
364    /// Sets the value of [mime_type][crate::model::TextSentimentPredictionInstance::mime_type].
365    ///
366    /// # Example
367    /// ```ignore,no_run
368    /// # use google_cloud_aiplatform_v1_schema_predict_instance::model::TextSentimentPredictionInstance;
369    /// let x = TextSentimentPredictionInstance::new().set_mime_type("example");
370    /// ```
371    pub fn set_mime_type<T: std::convert::Into<std::string::String>>(mut self, v: T) -> Self {
372        self.mime_type = v.into();
373        self
374    }
375}
376
377impl wkt::message::Message for TextSentimentPredictionInstance {
378    fn typename() -> &'static str {
379        "type.googleapis.com/google.cloud.aiplatform.v1.schema.predict.instance.TextSentimentPredictionInstance"
380    }
381}
382
383/// Prediction input format for Video Action Recognition.
384#[derive(Clone, Default, PartialEq)]
385#[non_exhaustive]
386pub struct VideoActionRecognitionPredictionInstance {
387    /// The Google Cloud Storage location of the video on which to perform the
388    /// prediction.
389    pub content: std::string::String,
390
391    /// The MIME type of the content of the video. Only the following are
392    /// supported: video/mp4 video/avi video/quicktime
393    pub mime_type: std::string::String,
394
395    /// The beginning, inclusive, of the video's time segment on which to perform
396    /// the prediction. Expressed as a number of seconds as measured from the
397    /// start of the video, with "s" appended at the end. Fractions are allowed,
398    /// up to a microsecond precision.
399    pub time_segment_start: std::string::String,
400
401    /// The end, exclusive, of the video's time segment on which to perform
402    /// the prediction. Expressed as a number of seconds as measured from the
403    /// start of the video, with "s" appended at the end. Fractions are allowed,
404    /// up to a microsecond precision, and "inf" or "Infinity" is allowed, which
405    /// means the end of the video.
406    pub time_segment_end: std::string::String,
407
408    pub(crate) _unknown_fields: serde_json::Map<std::string::String, serde_json::Value>,
409}
410
411impl VideoActionRecognitionPredictionInstance {
412    /// Creates a new default instance.
413    pub fn new() -> Self {
414        std::default::Default::default()
415    }
416
417    /// Sets the value of [content][crate::model::VideoActionRecognitionPredictionInstance::content].
418    ///
419    /// # Example
420    /// ```ignore,no_run
421    /// # use google_cloud_aiplatform_v1_schema_predict_instance::model::VideoActionRecognitionPredictionInstance;
422    /// let x = VideoActionRecognitionPredictionInstance::new().set_content("example");
423    /// ```
424    pub fn set_content<T: std::convert::Into<std::string::String>>(mut self, v: T) -> Self {
425        self.content = v.into();
426        self
427    }
428
429    /// Sets the value of [mime_type][crate::model::VideoActionRecognitionPredictionInstance::mime_type].
430    ///
431    /// # Example
432    /// ```ignore,no_run
433    /// # use google_cloud_aiplatform_v1_schema_predict_instance::model::VideoActionRecognitionPredictionInstance;
434    /// let x = VideoActionRecognitionPredictionInstance::new().set_mime_type("example");
435    /// ```
436    pub fn set_mime_type<T: std::convert::Into<std::string::String>>(mut self, v: T) -> Self {
437        self.mime_type = v.into();
438        self
439    }
440
441    /// Sets the value of [time_segment_start][crate::model::VideoActionRecognitionPredictionInstance::time_segment_start].
442    ///
443    /// # Example
444    /// ```ignore,no_run
445    /// # use google_cloud_aiplatform_v1_schema_predict_instance::model::VideoActionRecognitionPredictionInstance;
446    /// let x = VideoActionRecognitionPredictionInstance::new().set_time_segment_start("example");
447    /// ```
448    pub fn set_time_segment_start<T: std::convert::Into<std::string::String>>(
449        mut self,
450        v: T,
451    ) -> Self {
452        self.time_segment_start = v.into();
453        self
454    }
455
456    /// Sets the value of [time_segment_end][crate::model::VideoActionRecognitionPredictionInstance::time_segment_end].
457    ///
458    /// # Example
459    /// ```ignore,no_run
460    /// # use google_cloud_aiplatform_v1_schema_predict_instance::model::VideoActionRecognitionPredictionInstance;
461    /// let x = VideoActionRecognitionPredictionInstance::new().set_time_segment_end("example");
462    /// ```
463    pub fn set_time_segment_end<T: std::convert::Into<std::string::String>>(
464        mut self,
465        v: T,
466    ) -> Self {
467        self.time_segment_end = v.into();
468        self
469    }
470}
471
472impl wkt::message::Message for VideoActionRecognitionPredictionInstance {
473    fn typename() -> &'static str {
474        "type.googleapis.com/google.cloud.aiplatform.v1.schema.predict.instance.VideoActionRecognitionPredictionInstance"
475    }
476}
477
478/// Prediction input format for Video Classification.
479#[derive(Clone, Default, PartialEq)]
480#[non_exhaustive]
481pub struct VideoClassificationPredictionInstance {
482    /// The Google Cloud Storage location of the video on which to perform the
483    /// prediction.
484    pub content: std::string::String,
485
486    /// The MIME type of the content of the video. Only the following are
487    /// supported: video/mp4 video/avi video/quicktime
488    pub mime_type: std::string::String,
489
490    /// The beginning, inclusive, of the video's time segment on which to perform
491    /// the prediction. Expressed as a number of seconds as measured from the
492    /// start of the video, with "s" appended at the end. Fractions are allowed,
493    /// up to a microsecond precision.
494    pub time_segment_start: std::string::String,
495
496    /// The end, exclusive, of the video's time segment on which to perform
497    /// the prediction. Expressed as a number of seconds as measured from the
498    /// start of the video, with "s" appended at the end. Fractions are allowed,
499    /// up to a microsecond precision, and "inf" or "Infinity" is allowed, which
500    /// means the end of the video.
501    pub time_segment_end: std::string::String,
502
503    pub(crate) _unknown_fields: serde_json::Map<std::string::String, serde_json::Value>,
504}
505
506impl VideoClassificationPredictionInstance {
507    /// Creates a new default instance.
508    pub fn new() -> Self {
509        std::default::Default::default()
510    }
511
512    /// Sets the value of [content][crate::model::VideoClassificationPredictionInstance::content].
513    ///
514    /// # Example
515    /// ```ignore,no_run
516    /// # use google_cloud_aiplatform_v1_schema_predict_instance::model::VideoClassificationPredictionInstance;
517    /// let x = VideoClassificationPredictionInstance::new().set_content("example");
518    /// ```
519    pub fn set_content<T: std::convert::Into<std::string::String>>(mut self, v: T) -> Self {
520        self.content = v.into();
521        self
522    }
523
524    /// Sets the value of [mime_type][crate::model::VideoClassificationPredictionInstance::mime_type].
525    ///
526    /// # Example
527    /// ```ignore,no_run
528    /// # use google_cloud_aiplatform_v1_schema_predict_instance::model::VideoClassificationPredictionInstance;
529    /// let x = VideoClassificationPredictionInstance::new().set_mime_type("example");
530    /// ```
531    pub fn set_mime_type<T: std::convert::Into<std::string::String>>(mut self, v: T) -> Self {
532        self.mime_type = v.into();
533        self
534    }
535
536    /// Sets the value of [time_segment_start][crate::model::VideoClassificationPredictionInstance::time_segment_start].
537    ///
538    /// # Example
539    /// ```ignore,no_run
540    /// # use google_cloud_aiplatform_v1_schema_predict_instance::model::VideoClassificationPredictionInstance;
541    /// let x = VideoClassificationPredictionInstance::new().set_time_segment_start("example");
542    /// ```
543    pub fn set_time_segment_start<T: std::convert::Into<std::string::String>>(
544        mut self,
545        v: T,
546    ) -> Self {
547        self.time_segment_start = v.into();
548        self
549    }
550
551    /// Sets the value of [time_segment_end][crate::model::VideoClassificationPredictionInstance::time_segment_end].
552    ///
553    /// # Example
554    /// ```ignore,no_run
555    /// # use google_cloud_aiplatform_v1_schema_predict_instance::model::VideoClassificationPredictionInstance;
556    /// let x = VideoClassificationPredictionInstance::new().set_time_segment_end("example");
557    /// ```
558    pub fn set_time_segment_end<T: std::convert::Into<std::string::String>>(
559        mut self,
560        v: T,
561    ) -> Self {
562        self.time_segment_end = v.into();
563        self
564    }
565}
566
567impl wkt::message::Message for VideoClassificationPredictionInstance {
568    fn typename() -> &'static str {
569        "type.googleapis.com/google.cloud.aiplatform.v1.schema.predict.instance.VideoClassificationPredictionInstance"
570    }
571}
572
573/// Prediction input format for Video Object Tracking.
574#[derive(Clone, Default, PartialEq)]
575#[non_exhaustive]
576pub struct VideoObjectTrackingPredictionInstance {
577    /// The Google Cloud Storage location of the video on which to perform the
578    /// prediction.
579    pub content: std::string::String,
580
581    /// The MIME type of the content of the video. Only the following are
582    /// supported: video/mp4 video/avi video/quicktime
583    pub mime_type: std::string::String,
584
585    /// The beginning, inclusive, of the video's time segment on which to perform
586    /// the prediction. Expressed as a number of seconds as measured from the
587    /// start of the video, with "s" appended at the end. Fractions are allowed,
588    /// up to a microsecond precision.
589    pub time_segment_start: std::string::String,
590
591    /// The end, exclusive, of the video's time segment on which to perform
592    /// the prediction. Expressed as a number of seconds as measured from the
593    /// start of the video, with "s" appended at the end. Fractions are allowed,
594    /// up to a microsecond precision, and "inf" or "Infinity" is allowed, which
595    /// means the end of the video.
596    pub time_segment_end: std::string::String,
597
598    pub(crate) _unknown_fields: serde_json::Map<std::string::String, serde_json::Value>,
599}
600
601impl VideoObjectTrackingPredictionInstance {
602    /// Creates a new default instance.
603    pub fn new() -> Self {
604        std::default::Default::default()
605    }
606
607    /// Sets the value of [content][crate::model::VideoObjectTrackingPredictionInstance::content].
608    ///
609    /// # Example
610    /// ```ignore,no_run
611    /// # use google_cloud_aiplatform_v1_schema_predict_instance::model::VideoObjectTrackingPredictionInstance;
612    /// let x = VideoObjectTrackingPredictionInstance::new().set_content("example");
613    /// ```
614    pub fn set_content<T: std::convert::Into<std::string::String>>(mut self, v: T) -> Self {
615        self.content = v.into();
616        self
617    }
618
619    /// Sets the value of [mime_type][crate::model::VideoObjectTrackingPredictionInstance::mime_type].
620    ///
621    /// # Example
622    /// ```ignore,no_run
623    /// # use google_cloud_aiplatform_v1_schema_predict_instance::model::VideoObjectTrackingPredictionInstance;
624    /// let x = VideoObjectTrackingPredictionInstance::new().set_mime_type("example");
625    /// ```
626    pub fn set_mime_type<T: std::convert::Into<std::string::String>>(mut self, v: T) -> Self {
627        self.mime_type = v.into();
628        self
629    }
630
631    /// Sets the value of [time_segment_start][crate::model::VideoObjectTrackingPredictionInstance::time_segment_start].
632    ///
633    /// # Example
634    /// ```ignore,no_run
635    /// # use google_cloud_aiplatform_v1_schema_predict_instance::model::VideoObjectTrackingPredictionInstance;
636    /// let x = VideoObjectTrackingPredictionInstance::new().set_time_segment_start("example");
637    /// ```
638    pub fn set_time_segment_start<T: std::convert::Into<std::string::String>>(
639        mut self,
640        v: T,
641    ) -> Self {
642        self.time_segment_start = v.into();
643        self
644    }
645
646    /// Sets the value of [time_segment_end][crate::model::VideoObjectTrackingPredictionInstance::time_segment_end].
647    ///
648    /// # Example
649    /// ```ignore,no_run
650    /// # use google_cloud_aiplatform_v1_schema_predict_instance::model::VideoObjectTrackingPredictionInstance;
651    /// let x = VideoObjectTrackingPredictionInstance::new().set_time_segment_end("example");
652    /// ```
653    pub fn set_time_segment_end<T: std::convert::Into<std::string::String>>(
654        mut self,
655        v: T,
656    ) -> Self {
657        self.time_segment_end = v.into();
658        self
659    }
660}
661
662impl wkt::message::Message for VideoObjectTrackingPredictionInstance {
663    fn typename() -> &'static str {
664        "type.googleapis.com/google.cloud.aiplatform.v1.schema.predict.instance.VideoObjectTrackingPredictionInstance"
665    }
666}
google_cloud_aiplatform_v1_schema_predict_instance/model.rs

google_cloud_aiplatform_v1_schema_predict_instance/
model.rs
