Output log

app.py

@@ -19,14 +19,20 @@ def preprocess(image):
     return image / 255.
 
 def postprocess(prediction):
-    return {labels[i]: prediction[i] for i in range(len(labels))}
+    # return {labels[i]: prediction[i] for i in range(len(labels))}
+    return {labels[i]: 0 for i in range(len(labels))}
 
 def predict_fn(image):
     image = preprocess(image)
-    prediction = model(image)[0].numpy()
-    print(model(image))
-    print(model(image).numpy())
+    prediction = model(image)
+    print('****************')
     print(prediction)
+    print('****************')
+    print(prediction[0])
+    print('****************')
+    print(prediction[0].numpy())
+    print('****************')
+    print(prediction.numpy())
     scores = postprocess(prediction)
     return scores