nut_recognizer final version v14

app.py

@@ -6,24 +6,24 @@ from pathlib import Path
 #temp = pathlib.PosixPath
 #pathlib.PosixPath = pathlib.WindowsPath
 
-nut_labels = (
-    "raw Almonds",
-    "raw Walnuts",
-    "raw Cashew nut",
-    "raw Pecans",
-    "raw Peanut",
-    "raw Pili nut",
-    "raw Pistachios nut",
-    "raw Hazelnuts",
-    "raw Brazil nut",
-    "raw Maccademia nut",
-    "raw Pine nut",
-    "raw Chestnut",
-    "raw Hickory nut",
-    "raw Ginkgo nut"
-)
+nut_labels = [
+    'raw Almonds', 
+    'raw Brazil nut', 
+    'raw Cashew nut', 
+    'raw Chestnut', 
+    'raw Ginkgo nut', 
+    'raw Hazelnuts', 
+    'raw Hickory nut', 
+    'raw Maccademia nut', 
+    'raw Peanut', 
+    'raw Pecans', 
+    'raw Pili nut', 
+    'raw Pine nut', 
+    'raw Pistachios nut', 
+    'raw Walnuts'
+    ]
 
-model = load_learner('nut-recognizer-v11 .pkl')
+model = load_learner('nut-recognizer-v14 .pkl')
 
 
 def recognize_image(image):
@@ -33,10 +33,14 @@ def recognize_image(image):
 image = gr.inputs.Image(shape=(192,192))
 label = gr.outputs.Label(num_top_classes=5)
 examples = [
-    'Pistachio.jpg',
+    'pistachios.jpeg',
     'cashew.jpg',
-    'macadamia-nut.jpg',
-    'peanuts.jpg'
+    'macadamia.jpg',
+    'peanuts.jpg',
+    'walnuts',
+    'chestnuts',
+    'pili nuts.jpg',
+    'ginkgo nuts'
     ]
 
 iface = gr.Interface(fn=recognize_image, inputs=image, outputs=label, examples=examples)

nut-recognizer-v11 .pkl → nut-recognizer-v14.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cebfae2df0cfd154989e43f73dc5ae55e4b328c05a5d6f1a7e0c203a277895d6
-size 87540560
+oid sha256:b758dec0e5d246dad099b08368874336308b4d19e6023c11746c590e0d0baa03
+size 87540304

nut-recognizer-v4 .pkl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:5b7faff519d6c3d08d4d59c5a8fc0acac1655a61f656b78e40cb8e6779a40b61
-size 87521093