added two rpc call to biopb.lacss

biopb/lacss/detection_settings.proto

@@ -5,6 +5,7 @@ package biopb.lacss;
 option java_package = "biopb.lacss";
 option java_multiple_files = true;
 
+import "google/protobuf/any.proto";
 
 message DetectionSettings {
 
@@ -44,4 +45,15 @@ message DetectionSettings {
 
     }
 
+    // Specify the model name for servers that support more than one model
+    // variants.
+    string model_name = 8;
+
+
+    // An opaque data structure that specify a server side model configuration.
+    // An important use case is to perform few-shot model adaptations. The model
+    // adaptation call returns a new model configuration. This stucture should
+    // be included in all new inference requests, so that the server understand
+    // that it should perform computation using the adapted model.
+    google.protobuf.Any model_configuration = 9;
 }

biopb/lacss/image_data.proto

@@ -49,14 +49,26 @@ message Pixels {
     // physical size unit, default "µm"
     string physical_size_unit = 17;
 
-    // TimeIncrement is used for time series that have a global timing
+    // time_increment is used for time series that have a global timing
     // specification instead of per-timepoint timing info. For example in a
     // video stream. Units are set by TimeIncrementUnit.
     optional float time_increment = 18;
 
     // time unit, default "s"
     string time_increment_unit = 21;
 
+    // for large image dataset, it is necessary to send a stream of image
+    // patches instead of one monolithic data structure of the whole dataset.
+    // The offset values allows one to specify the relative locations of each
+    // patch.
+    optional uint32 offset_x = 22;
+
+    optional uint32 offset_y = 23;
+
+    optional uint32 offset_z = 24;
+
+    optional uint32 offset_t = 25;
+
 }
 
 // Additional annotation of the image, which may be used for the analysis.

biopb/lacss/lacss.proto

@@ -6,14 +6,19 @@ option java_package = "biopb.lacss";
 option java_multiple_files = true;
 
 
+import "google/protobuf/any.proto";
+
 import "biopb/lacss/detection_request.proto";
 import "biopb/lacss/detection_response.proto";
 
 service Lacss {
 
-    // Unitary call for computing cell detection / segmentation
+    // Implementing the `RunDetection` call is mandatory. The rest are optional. 
+
+    // Unitary call for computing cell detection / segmentation. 
     rpc RunDetection(DetectionRequest) returns (DetectionResponse) ;
 
+
     // The streaming version allows dynamic updating of the DetectionRequest and
     // getting updated results. For example, a client may request analyses at
     // several different settings on the same image. After initial request, the
@@ -22,5 +27,22 @@ service Lacss {
     // bandwidth.
     rpc RunDetectionStream(stream DetectionRequest) returns (stream DetectionResponse) ;
 
+
+    // Send the image dataset as a stream of (partially overlapping) image
+    // patches, instead of one large chunk of binary data. There are two use
+    // cases for this call: (1) The image dataset is too large therefore sending
+    // all data in one message would exceed GRPC message size limit; (2) The
+    // original data were taken as a grid scan so it is convinent to read/write
+    // as patches.
+    rpc RunDetectionOnGrid(stream DetectionRequest) returns (DetectionResponse) ;
+
+
+    // Run model adaptation based on the submitted stream of DetectionReqeust,
+    // which may or may not contain ROI annotations. The all returns an opaque
+    // data strcuture representing the model configuration after model
+    // adaptation, which in turn should be included in future inference reuest
+    // as a DetectionSetting field.
+    rpc RunModelAdaptation(stream DetectionRequest) returns (google.protobuf.Any) ;
+
 }