Fix misspelling.

oylz · Nov 10, 2017 · 4f88103 · 4f88103
1 parent 181a0d3
commit 4f88103
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Showing 6 changed files with 7 additions and 7 deletions.
diff --git a/config.py b/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.

diff --git a/demo.ipynb b/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"

diff --git a/inspect_model.ipynb b/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"

diff --git a/model.py b/model.py
@@ -2068,7 +2068,7 @@ def train(self, train_dataset, val_dataset, learning_rate, epochs, layers):
             "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,

diff --git a/shapes.py b/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):

diff --git a/train_shapes.ipynb b/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()"