Update faster_rcnn_inception_v2_pets.config

Author: EdjeElectronics

training/faster_rcnn_inception_v2_pets.config

@@ -107,7 +107,7 @@ train_config: {
     use_moving_average: false
   }
   gradient_clipping_by_norm: 10.0
-  fine_tune_checkpoint: "C://tensorflow1/models/research/object_detection/faster_rcnn_inception_v2_coco_2018_01_28/model.ckpt"
+  fine_tune_checkpoint: "C:/tensorflow1/models/research/object_detection/faster_rcnn_inception_v2_coco_2018_01_28/model.ckpt"
   from_detection_checkpoint: true
   # Note: The below line limits the training process to 200K steps, which we
   # empirically found to be sufficient enough to train the pets dataset. This
@@ -123,9 +123,9 @@ train_config: {
 
 train_input_reader: {
   tf_record_input_reader {
-    input_path: "C://tensorflow1/models/research/object_detection/train.record"
+    input_path: "C:/tensorflow1/models/research/object_detection/train.record"
   }
-  label_map_path: "C://tensorflow1/models/research/object_detection/training/labelmap.pbtxt"
+  label_map_path: "C:/tensorflow1/models/research/object_detection/training/labelmap.pbtxt"
 }
 
 eval_config: {
@@ -137,9 +137,9 @@ eval_config: {
 
 eval_input_reader: {
   tf_record_input_reader {
-    input_path: "C://tensorflow1/models/research/object_detection/test.record"
+    input_path: "C:/tensorflow1/models/research/object_detection/test.record"
   }
-  label_map_path: "C://tensorflow1/models/research/object_detection/training/labelmap.pbtxt"
+  label_map_path: "C:/tensorflow1/models/research/object_detection/training/labelmap.pbtxt"
   shuffle: false
   num_readers: 1
 }