added ConfigUtil empty file.

src/TensorFlowNET.Core/Contrib/Train/HParams.cs

@@ -0,0 +1,19 @@
+using System;
+using System.Collections.Generic;
+using System.Text;
+
+namespace Tensorflow.Contrib.Train
+{
+    /// <summary>
+    /// Class to hold a set of hyperparameters as name-value pairs.
+    /// </summary>
+    public class HParams
+    {
+        public bool load_pretrained { get; set; }
+
+        public HParams(bool load_pretrained)
+        {
+            this.load_pretrained = load_pretrained;
+        }
+    }
+}

src/TensorFlowNET.Core/Train/SessionRunContext.cs

@@ -0,0 +1,14 @@
+using System;
+using System.Collections.Generic;
+using System.Text;
+
+namespace Tensorflow.Train
+{
+    public class SessionRunContext
+    {
+        public SessionRunContext(Session session)
+        {
+
+        }
+    }
+}

src/TensorFlowNET.Core/Train/_MonitoredSession.cs

@@ -0,0 +1,10 @@
+using System;
+using System.Collections.Generic;
+using System.Text;
+
+namespace Tensorflow.Train
+{
+    internal class _MonitoredSession
+    {
+    }
+}

src/TensorFlowNET.Models/ObjectDetection/ModelLib.cs

@@ -4,13 +4,18 @@ using System.Text;
 using static Tensorflow.Binding;
 using Tensorflow.Estimators;
 using System.Linq;
+using Tensorflow.Contrib.Train;
 
 namespace Tensorflow.Models.ObjectDetection
 {
     public class ModelLib
     {
         public TrainAndEvalDict create_estimator_and_inputs(RunConfig run_config,
-            int train_steps = 1)
+            HParams hparams = null,
+            string pipeline_config_path = null,
+            int train_steps = 0,
+            int sample_1_of_n_eval_examples = 0,
+            int sample_1_of_n_eval_on_train_examples = 1)
         {
             var estimator = tf.estimator.Estimator(config: run_config);
 

src/TensorFlowNET.Models/ObjectDetection/Utils/ConfigUtil.cs

@@ -0,0 +1,14 @@
+using System;
+using System.Collections.Generic;
+using System.Text;
+
+namespace Tensorflow.Models.ObjectDetection.Utils
+{
+    public class ConfigUtil
+    {
+        public object get_configs_from_pipeline_file(string pipeline_config_path)
+        {
+            throw new NotImplementedException("");
+        }
+    }
+}

test/TensorFlowNET.Examples/ImageProcessing/ObjectDetection/Main.cs

@@ -3,6 +3,7 @@ using System.Collections.Generic;
 using System.IO;
 using System.Text;
 using Tensorflow;
+using Tensorflow.Contrib.Train;
 using Tensorflow.Estimators;
 using Tensorflow.Models.ObjectDetection;
 using static Tensorflow.Binding;
@@ -18,12 +19,23 @@ namespace TensorFlowNET.Examples.ImageProcessing.ObjectDetection
 
         ModelLib model_lib = new ModelLib();
 
+        string model_dir = "D:/Projects/PythonLab/tf-models/research/object_detection/models/model";
+        string pipeline_config_path = "D:/Projects/PythonLab/tf-models/research/object_detection/models/model/faster_rcnn_resnet101_voc07.config";
+        int num_train_steps = 1;
+        int sample_1_of_n_eval_examples = 1;
+        int sample_1_of_n_eval_on_train_examples = 5;
+
         public bool Run()
         {
-            string model_dir = "D:/Projects/PythonLab/tf-models/research/object_detection/models/model";
-
             var config = tf.estimator.RunConfig(model_dir: model_dir);
-            var train_and_eval_dict = model_lib.create_estimator_and_inputs(run_config: config);
+
+            var train_and_eval_dict = model_lib.create_estimator_and_inputs(run_config: config,
+                hparams: new HParams(true),
+                pipeline_config_path: pipeline_config_path,
+                train_steps: num_train_steps,
+                sample_1_of_n_eval_examples: sample_1_of_n_eval_examples,
+                sample_1_of_n_eval_on_train_examples: sample_1_of_n_eval_on_train_examples);
+
             var estimator = train_and_eval_dict.estimator;
             var train_input_fn = train_and_eval_dict.train_input_fn;
             var eval_input_fns = train_and_eval_dict.eval_input_fns;