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feat: Added text extraction health care option in create model. #332

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feat: Added text extraction health care option in create model. #332

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119 changes: 119 additions & 0 deletions ...automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelExportOutputConfig.java
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Expand Up @@ -366,6 +366,23 @@ public com.google.cloud.automl.v1beta1.GcrDestinationOrBuilder getGcrDestination
* * For Image Classification mobile-core-ml-low-latency-1,
* mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
* "core_ml" (default).
* * For Image Object Detection mobile-low-latency-1, mobile-versatile-1,
* mobile-high-accuracy-1:
* "tflite", "tf_saved_model", "tf_js".
* * For Video Classification cloud,
* "tf_saved_model".
* * For Video Object Tracking cloud,
* "tf_saved_model".
* * For Video Object Tracking mobile-versatile-1:
* "tflite", "edgetpu_tflite", "tf_saved_model", "docker".
* * For Video Object Tracking mobile-coral-versatile-1:
* "tflite", "edgetpu_tflite", "docker".
* * For Video Object Tracking mobile-coral-low-latency-1:
* "tflite", "edgetpu_tflite", "docker".
* * For Video Object Tracking mobile-jetson-versatile-1:
* "tf_saved_model", "docker".
* * For Tables:
* "docker".
* Formats description:
* * tflite - Used for Android mobile devices.
* * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
Expand Down Expand Up @@ -413,6 +430,23 @@ public java.lang.String getModelFormat() {
* * For Image Classification mobile-core-ml-low-latency-1,
* mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
* "core_ml" (default).
* * For Image Object Detection mobile-low-latency-1, mobile-versatile-1,
* mobile-high-accuracy-1:
* "tflite", "tf_saved_model", "tf_js".
* * For Video Classification cloud,
* "tf_saved_model".
* * For Video Object Tracking cloud,
* "tf_saved_model".
* * For Video Object Tracking mobile-versatile-1:
* "tflite", "edgetpu_tflite", "tf_saved_model", "docker".
* * For Video Object Tracking mobile-coral-versatile-1:
* "tflite", "edgetpu_tflite", "docker".
* * For Video Object Tracking mobile-coral-low-latency-1:
* "tflite", "edgetpu_tflite", "docker".
* * For Video Object Tracking mobile-jetson-versatile-1:
* "tf_saved_model", "docker".
* * For Tables:
* "docker".
* Formats description:
* * tflite - Used for Android mobile devices.
* * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
Expand Down Expand Up @@ -1539,6 +1573,23 @@ public com.google.cloud.automl.v1beta1.GcrDestinationOrBuilder getGcrDestination
* * For Image Classification mobile-core-ml-low-latency-1,
* mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
* "core_ml" (default).
* * For Image Object Detection mobile-low-latency-1, mobile-versatile-1,
* mobile-high-accuracy-1:
* "tflite", "tf_saved_model", "tf_js".
* * For Video Classification cloud,
* "tf_saved_model".
* * For Video Object Tracking cloud,
* "tf_saved_model".
* * For Video Object Tracking mobile-versatile-1:
* "tflite", "edgetpu_tflite", "tf_saved_model", "docker".
* * For Video Object Tracking mobile-coral-versatile-1:
* "tflite", "edgetpu_tflite", "docker".
* * For Video Object Tracking mobile-coral-low-latency-1:
* "tflite", "edgetpu_tflite", "docker".
* * For Video Object Tracking mobile-jetson-versatile-1:
* "tf_saved_model", "docker".
* * For Tables:
* "docker".
* Formats description:
* * tflite - Used for Android mobile devices.
* * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
Expand Down Expand Up @@ -1585,6 +1636,23 @@ public java.lang.String getModelFormat() {
* * For Image Classification mobile-core-ml-low-latency-1,
* mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
* "core_ml" (default).
* * For Image Object Detection mobile-low-latency-1, mobile-versatile-1,
* mobile-high-accuracy-1:
* "tflite", "tf_saved_model", "tf_js".
* * For Video Classification cloud,
* "tf_saved_model".
* * For Video Object Tracking cloud,
* "tf_saved_model".
* * For Video Object Tracking mobile-versatile-1:
* "tflite", "edgetpu_tflite", "tf_saved_model", "docker".
* * For Video Object Tracking mobile-coral-versatile-1:
* "tflite", "edgetpu_tflite", "docker".
* * For Video Object Tracking mobile-coral-low-latency-1:
* "tflite", "edgetpu_tflite", "docker".
* * For Video Object Tracking mobile-jetson-versatile-1:
* "tf_saved_model", "docker".
* * For Tables:
* "docker".
* Formats description:
* * tflite - Used for Android mobile devices.
* * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
Expand Down Expand Up @@ -1631,6 +1699,23 @@ public com.google.protobuf.ByteString getModelFormatBytes() {
* * For Image Classification mobile-core-ml-low-latency-1,
* mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
* "core_ml" (default).
* * For Image Object Detection mobile-low-latency-1, mobile-versatile-1,
* mobile-high-accuracy-1:
* "tflite", "tf_saved_model", "tf_js".
* * For Video Classification cloud,
* "tf_saved_model".
* * For Video Object Tracking cloud,
* "tf_saved_model".
* * For Video Object Tracking mobile-versatile-1:
* "tflite", "edgetpu_tflite", "tf_saved_model", "docker".
* * For Video Object Tracking mobile-coral-versatile-1:
* "tflite", "edgetpu_tflite", "docker".
* * For Video Object Tracking mobile-coral-low-latency-1:
* "tflite", "edgetpu_tflite", "docker".
* * For Video Object Tracking mobile-jetson-versatile-1:
* "tf_saved_model", "docker".
* * For Tables:
* "docker".
* Formats description:
* * tflite - Used for Android mobile devices.
* * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
Expand Down Expand Up @@ -1676,6 +1761,23 @@ public Builder setModelFormat(java.lang.String value) {
* * For Image Classification mobile-core-ml-low-latency-1,
* mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
* "core_ml" (default).
* * For Image Object Detection mobile-low-latency-1, mobile-versatile-1,
* mobile-high-accuracy-1:
* "tflite", "tf_saved_model", "tf_js".
* * For Video Classification cloud,
* "tf_saved_model".
* * For Video Object Tracking cloud,
* "tf_saved_model".
* * For Video Object Tracking mobile-versatile-1:
* "tflite", "edgetpu_tflite", "tf_saved_model", "docker".
* * For Video Object Tracking mobile-coral-versatile-1:
* "tflite", "edgetpu_tflite", "docker".
* * For Video Object Tracking mobile-coral-low-latency-1:
* "tflite", "edgetpu_tflite", "docker".
* * For Video Object Tracking mobile-jetson-versatile-1:
* "tf_saved_model", "docker".
* * For Tables:
* "docker".
* Formats description:
* * tflite - Used for Android mobile devices.
* * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
Expand Down Expand Up @@ -1717,6 +1819,23 @@ public Builder clearModelFormat() {
* * For Image Classification mobile-core-ml-low-latency-1,
* mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
* "core_ml" (default).
* * For Image Object Detection mobile-low-latency-1, mobile-versatile-1,
* mobile-high-accuracy-1:
* "tflite", "tf_saved_model", "tf_js".
* * For Video Classification cloud,
* "tf_saved_model".
* * For Video Object Tracking cloud,
* "tf_saved_model".
* * For Video Object Tracking mobile-versatile-1:
* "tflite", "edgetpu_tflite", "tf_saved_model", "docker".
* * For Video Object Tracking mobile-coral-versatile-1:
* "tflite", "edgetpu_tflite", "docker".
* * For Video Object Tracking mobile-coral-low-latency-1:
* "tflite", "edgetpu_tflite", "docker".
* * For Video Object Tracking mobile-jetson-versatile-1:
* "tf_saved_model", "docker".
* * For Tables:
* "docker".
* Formats description:
* * tflite - Used for Android mobile devices.
* * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
Expand Down
34 changes: 34 additions & 0 deletions ...beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelExportOutputConfigOrBuilder.java
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Expand Up @@ -138,6 +138,23 @@ public interface ModelExportOutputConfigOrBuilder
* * For Image Classification mobile-core-ml-low-latency-1,
* mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
* "core_ml" (default).
* * For Image Object Detection mobile-low-latency-1, mobile-versatile-1,
* mobile-high-accuracy-1:
* "tflite", "tf_saved_model", "tf_js".
* * For Video Classification cloud,
* "tf_saved_model".
* * For Video Object Tracking cloud,
* "tf_saved_model".
* * For Video Object Tracking mobile-versatile-1:
* "tflite", "edgetpu_tflite", "tf_saved_model", "docker".
* * For Video Object Tracking mobile-coral-versatile-1:
* "tflite", "edgetpu_tflite", "docker".
* * For Video Object Tracking mobile-coral-low-latency-1:
* "tflite", "edgetpu_tflite", "docker".
* * For Video Object Tracking mobile-jetson-versatile-1:
* "tf_saved_model", "docker".
* * For Tables:
* "docker".
* Formats description:
* * tflite - Used for Android mobile devices.
* * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
Expand Down Expand Up @@ -174,6 +191,23 @@ public interface ModelExportOutputConfigOrBuilder
* * For Image Classification mobile-core-ml-low-latency-1,
* mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
* "core_ml" (default).
* * For Image Object Detection mobile-low-latency-1, mobile-versatile-1,
* mobile-high-accuracy-1:
* "tflite", "tf_saved_model", "tf_js".
* * For Video Classification cloud,
* "tf_saved_model".
* * For Video Object Tracking cloud,
* "tf_saved_model".
* * For Video Object Tracking mobile-versatile-1:
* "tflite", "edgetpu_tflite", "tf_saved_model", "docker".
* * For Video Object Tracking mobile-coral-versatile-1:
* "tflite", "edgetpu_tflite", "docker".
* * For Video Object Tracking mobile-coral-low-latency-1:
* "tflite", "edgetpu_tflite", "docker".
* * For Video Object Tracking mobile-jetson-versatile-1:
* "tf_saved_model", "docker".
* * For Tables:
* "docker".
* Formats description:
* * tflite - Used for Android mobile devices.
* * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
Expand Down