Init

.idea/.gitignore

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+# Default ignored files
+/shelf/
+/workspace.xml
+# Editor-based HTTP Client requests
+/httpRequests/
+# Datasource local storage ignored files
+/dataSources/
+/dataSources.local.xml

.idea/hungle_image_retrieval_surrey2023.iml

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+<?xml version="1.0" encoding="UTF-8"?>
+<module type="PYTHON_MODULE" version="4">
+  <component name="NewModuleRootManager">
+    <content url="file://$MODULE_DIR$" />
+    <orderEntry type="jdk" jdkName="Python 3.10 (diabetes_grading_surreyaml_2023) (2)" jdkType="Python SDK" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+</module>

.idea/inspectionProfiles/profiles_settings.xml

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+<component name="InspectionProjectProfileManager">
+  <settings>
+    <option name="USE_PROJECT_PROFILE" value="false" />
+    <version value="1.0" />
+  </settings>
+</component>

.idea/misc.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.10 (diabetes_grading_surreyaml_2023) (2)" project-jdk-type="Python SDK" />
+</project>

.idea/modules.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/hungle_image_retrieval_surrey2023.iml" filepath="$PROJECT_DIR$/.idea/hungle_image_retrieval_surrey2023.iml" />
+    </modules>
+  </component>
+</project>

.idea/vcs.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="$PROJECT_DIR$" vcs="Git" />
+  </component>
+</project>

app.py

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+import numpy as np
+import streamlit as st
+import tensorflow as tf
+
+from PIL import Image
+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")
+
+
+def preprocess_image(image, target_size=(128, 128)):
+    image = image.resize(target_size)
+    image_array = np.array(image)  # / 255.0
+    return np.expand_dims(image_array, axis=0)
+
+
+def distance_quadruplet(result):
+    distance_list = []
+    for i in range(1, len(result)):
+        distance = euclidean(result[0], result[i])
+        distance_list.append(1 / (1 + distance))
+    return distance_list
+
+
+col1, col2 = st.columns(2)
+
+image_list = st.file_uploader("Choose List Image You Want To Search - No More Than 10 Images", type=["jpg", "jpeg", "png"], accept_multiple_files=True)
+image_query = st.file_uploader("Choose Images For Querying", type=["jpg", "jpeg", "png"], accept_multiple_files=False)
+
+
+image_process_list = []
+image_query_process = []
+if image_list is not None:
+    if len(image_list) >= 10:
+        col1.write("Your list image have problem - Try to refresh and upload again")
+    else:
+        count = 0
+        columns = st.columns(10)
+        for i, uploaded_file in enumerate(image_list):
+            img = Image.open(uploaded_file).convert('RGB')
+            img = img.resize((128, 128))
+            image_process_list.append(img)
+            if count <= 10:
+                count += 1
+                columns[i].image(img, caption=f"Uploaded image: {uploaded_file.name}", width=64)
+else:
+    col1.write("Upload Image")
+
+if image_query is not None:
+    img_qr = Image.open(uploaded_file).convert('RGB')
+    img_qr = img_qr.resize((128, 128))
+    image_query_process.append(img_qr)
+    col1.image(img_qr, caption="Query Image", use_column_width=True, width=98)
+else:
+    col1.write("Upload Image")
+
+image_pr = []
+if st.button("Classify"):
+    image_pr = image_process_list + image_query_process
+    image_pr = np.stack(image_pr)
+
+    col2.write(f"len image: {type(image_pr[0])}, {len(image_pr)}")

requirements.txt

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+absl-py==1.3.0
+aiohttp==3.8.3
+aiosignal==1.2.0
+altair
+appdirs==1.4.4
+appnope==0.1.2
+asttokens==2.0.5
+astunparse==1.6.3
+async-timeout==4.0.2
+attrs==22.1.0
+backcall==0.2.0
+blinker==1.4
+Bottleneck
+brotlipy==0.7.0
+cachetools==4.2.2
+certifi==2022.12.7
+cffi==1.15.1
+charset-normalizer==2.0.4
+click==8.0.4
+comm==0.1.2
+commonmark==0.9.1
+cryptography==39.0.1
+debugpy==1.5.1
+decorator==5.1.1
+entrypoints==0.4
+executing==0.8.3
+flatbuffers==2.0
+frozenlist==1.3.3
+future==0.18.3
+gast==0.4.0
+gitdb==4.0.7
+GitPython==3.1.30
+google-auth==2.6.0
+google-auth-oauthlib==0.4.4
+google-pasta==0.2.0
+grpcio==1.42.0
+h5py
+idna==3.4
+importlib-metadata==6.0.0
+ipykernel==6.19.2
+ipython==8.12.0
+ipywidgets==8.0.4
+jedi==0.18.1
+Jinja2==3.1.2
+jsonschema==4.17.3
+jupyter_client==8.1.0
+jupyter_core==5.3.0
+jupyterlab-widgets==3.0.5
+keras==2.10.0
+Keras-Preprocessing
+Markdown==3.4.1
+MarkupSafe==2.1.1
+matplotlib-inline==0.1.6
+mkl-fft
+mkl-random==1.2.2
+mkl-service==2.4.0
+multidict==6.0.2
+nest-asyncio==1.5.6
+numexpr==2.8.4
+numpy
+oauthlib==3.2.2
+opt-einsum==3.3.0
+packaging==23.0
+pandas==1.5.3
+parso==0.8.3
+pexpect==4.8.0
+pickleshare==0.7.5
+Pillow==9.4.0
+pip==23.0.1
+platformdirs==2.5.2
+pooch==1.4.0
+prompt-toolkit==3.0.36
+protobuf
+psutil==5.9.0
+ptyprocess==0.7.0
+pure-eval==0.2.2
+pyarrow==11.0.0
+pyasn1==0.4.8
+pyasn1-modules==0.2.8
+pycparser==2.21
+pydeck==0.7.1
+Pygments==2.11.2
+PyJWT==2.4.0
+Pympler==0.9
+pyOpenSSL==23.0.0
+pyrsistent==0.18.0
+PySocks==1.7.1
+python-dateutil==2.8.2
+pytz==2022.7
+pyzmq==23.2.0
+requests==2.28.1
+requests-oauthlib==1.3.0
+rich==12.5.1
+rsa==4.7.2
+scipy==1.10.0
+semver==2.13.0
+setuptools==66.0.0
+six==1.16.0
+smmap==4.0.0
+stack-data==0.2.0
+streamlit==1.16.0
+tensorboard==2.10.0
+tensorboard-data-server==0.6.1
+tensorboard-plugin-wit==1.7.0
+tensorflow==2.10.0
+tensorflow-estimator==2.10.0
+termcolor==2.1.0
+toml==0.10.2
+toolz==0.12.0
+tornado==6.2
+traitlets==5.7.1
+typing_extensions==4.5.0
+tzlocal==2.1
+urllib3==1.26.15
+validators==0.18.2
+wcwidth==0.2.5
+Werkzeug==2.2.3
+wheel==0.35.1
+widgetsnbextension==4.0.5
+wrapt==1.14.1
+yarl==1.8.1
+zipp==3.11.0