Use ==/!= to compare constant literals (str, bytes, int, float, tuple)

Avoid `SyntaxWarning` on Python >= 3.8
```
>>> "convolutional" == "convolutional"
True
>>> "convolutional" is "convolutional"
<stdin>:1: SyntaxWarning: "is" with a literal. Did you mean "=="?
True
```
Related to #21121

diff --git a/samples/dnn/tf_text_graph_ssd.py b/samples/dnn/tf_text_graph_ssd.py
index dbdee6e..d27fd0d 100644 (file)
--- a/samples/dnn/tf_text_graph_ssd.py
+++ b/samples/dnn/tf_text_graph_ssd.py
@@ -270,12 +270,12 @@ def createSSDGraph(modelPath, configPath, outputPath):
     addConstNode('concat/axis_flatten', [-1], graph_def)
     addConstNode('PriorBox/concat/axis', [-2], graph_def)
 
-    for label in ['ClassPredictor', 'BoxEncodingPredictor' if box_predictor is 'convolutional' else 'BoxPredictor']:
+    for label in ['ClassPredictor', 'BoxEncodingPredictor' if box_predictor == 'convolutional' else 'BoxPredictor']:
         concatInputs = []
         for i in range(num_layers):
             # Flatten predictions
             flatten = NodeDef()
-            if box_predictor is 'convolutional':
+            if box_predictor == 'convolutional':
                 inpName = 'BoxPredictor_%d/%s/BiasAdd' % (i, label)
             else:
                 if i == 0:
@@ -308,7 +308,7 @@ def createSSDGraph(modelPath, configPath, outputPath):
         priorBox = NodeDef()
         priorBox.name = 'PriorBox_%d' % i
         priorBox.op = 'PriorBox'
-        if box_predictor is 'convolutional':
+        if box_predictor == 'convolutional':
             priorBox.input.append('BoxPredictor_%d/BoxEncodingPredictor/BiasAdd' % i)
         else:
             if i == 0: