Fix misspelling.

config.py

@@ -46,7 +46,7 @@ class Config(object):
     # Number of validation steps to run at the end of every training epoch.
     # A bigger number improves accuracy of validation stats, but slows
     # down the training.
-    VALIDATION_STPES = 50
+    VALIDATION_STEPS = 50
 
     # The strides of each layer of the FPN Pyramid. These values
     # are based on a Resnet101 backbone.

demo.ipynb

@@ -115,7 +115,7 @@
       "TRAIN_ROIS_PER_IMAGE           128\n",
       "USE_MINI_MASK                  True\n",
       "USE_RPN_ROIS                   True\n",
-      "VALIDATION_STPES               50\n",
+      "VALIDATION_STEPS               50\n",
       "WEIGHT_DECAY                   0.0001\n",
       "\n",
       "\n"

inspect_model.ipynb

@@ -135,7 +135,7 @@
       "TRAIN_ROIS_PER_IMAGE           128\n",
       "USE_MINI_MASK                  True\n",
       "USE_RPN_ROIS                   True\n",
-      "VALIDATION_STPES               50\n",
+      "VALIDATION_STEPS               50\n",
       "WEIGHT_DECAY                   0.0001\n",
       "\n",
       "\n"

model.py

@@ -2068,7 +2068,7 @@ class MaskRCNN():
             "steps_per_epoch": self.config.STEPS_PER_EPOCH,
             "callbacks": callbacks,
             "validation_data": next(val_generator),
-            "validation_steps": self.config.VALIDATION_STPES,
+            "validation_steps": self.config.VALIDATION_STEPS,
             "max_queue_size": 100,
             "workers": max(self.config.BATCH_SIZE // 2, 2),
             "use_multiprocessing": True,

shapes.py

@@ -50,7 +50,7 @@ class ShapesConfig(Config):
     STEPS_PER_EPOCH = 100
 
     # use small validation steps since the epoch is small
-    VALIDATION_STPES = 5
+    VALIDATION_STEPS = 5
 
 
 class ShapesDataset(utils.Dataset):

train_shapes.ipynb

@@ -112,7 +112,7 @@
       "TRAIN_ROIS_PER_IMAGE           32\n",
       "USE_MINI_MASK                  True\n",
       "USE_RPN_ROIS                   True\n",
-      "VALIDATION_STPES               50\n",
+      "VALIDATION_STEPS               50\n",
       "WEIGHT_DECAY                   0.0001\n",
       "\n",
       "\n"
@@ -152,7 +152,7 @@
     "    STEPS_PER_EPOCH = 100\n",
     "\n",
     "    # use small validation steps since the epoch is small\n",
-    "    VALIDATION_STPES = 5\n",
+    "    VALIDATION_STEPS = 5\n",
     "    \n",
     "config = ShapesConfig()\n",
     "config.display()"