Internal change.

PiperOrigin-RevId: 325797820

research/object_detection/protos/center_net.proto

@@ -245,40 +245,6 @@ message CenterNet {
   }
   optional TrackEstimation track_estimation_task = 10;
 
-  // BEGIN GOOGLE-INTERNAL
-  // Experimental Occupancy network head, use with caution.
-  message OccupancyNetMaskPrediction {
-    // The loss used for penalizing mask predictions.
-    optional ClassificationLoss classification_loss = 1;
-
-    // Number of points to sample within a box while training occupancy net.
-    optional int32 num_samples = 2 [default = 1000];
-
-    // The dimension of the occupancy embedding.
-    optional int32 dim = 3 [default = 256];
-
-    // Weight of occupancy embedding loss.
-    optional float task_loss_weight = 4 [default = 1.0];
-
-    // The stride in pixels at test time when computing the mask. THis is
-    // useful is computing the full mask is too expensive.
-    optional int32 mask_stride = 5 [default = 1];
-
-    // If set, concatenate the occupancy embedding features to (x, y)
-    // coordinates before feeding it to the occupancy network head.
-    optional bool concat_features = 6 [default = true];
-
-    // If set to a positive value, defines the length to which the embedding
-    // is clipped before concatenating to the (x, y) coordinates when
-    // concat_features=true.
-    optional int32 concat_clip = 7 [default = -1];
-
-    // The probability threshold to apply for masks to output a binary mask.
-    optional float mask_prob_threshold = 8 [default = 0.5];
-  }
-
-  optional OccupancyNetMaskPrediction occupancy_net_mask_prediction = 11;
-  // EBD GOOGLE-INTERNAL
 
 }