Update model

.gitattributes

@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text

app.py

@@ -7,7 +7,7 @@ from scipy.spatial.distance import euclidean
 
 st.title("Surrey 2023 - Image Retrieval")
 # # Load your TensorFlow model
-# model = tf.keras.models.load_model("model/adcv_model")
+model = tf.keras.models.load_model("model/adcv_model")
 
 
 def preprocess_image(image, target_size=(128, 128)):
@@ -58,7 +58,12 @@ else:
 
 image_pr = []
 if st.button("Classify"):
-    image_pr = image_process_list + image_query_process
+    image_pr = image_query_process + image_process_list
     image_pr = np.stack(image_pr)
+    result = model.predict(image_pr)
+    distance_list = []
+    for i in range(1, len(result)):
+        distance = euclidean(result[0], result[i])
+        distance_list.append(1 / (1 + distance))
 
-    col2.write(f"len image: {type(image_pr[0])}, {len(image_pr)}")
+    col2.write(f"len image: {distance_list")

model/adcv_model/fingerprint.pb

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:372ceefd610b9ae442f4e97bc46f6409bde77c591d8d32b4902f5db1e526299d
+size 57

model/adcv_model/keras_metadata.pb

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:60ab6da3e235bab6b4a59fb699591529d6d0d563c5c371199f1962024ee7a051
+size 361694

model/adcv_model/saved_model.pb

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:86e4c55daaf8845e1634d3b38fbad815168bd8e3ccbed59d64dd4667b3656800
+size 2955648