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Browse files- .gitattributes +1 -0
- 101_food_class_100_percent_saved_big_model/keras_metadata.pb +3 -0
- 101_food_class_100_percent_saved_big_model/saved_model.pb +3 -0
- 101_food_class_100_percent_saved_big_model/variables/variables.data-00000-of-00001 +3 -0
- 101_food_class_100_percent_saved_big_model/variables/variables.index +0 -0
- app.py +104 -0
- requirements.txt +4 -0
- test_images/Cardamom-Saffron-Cupcakes-1.jpg +0 -0
- test_images/Punjabi-Samosa-2.jpg +0 -0
- test_images/doughnut_1.jpg +0 -0
- test_images/dumpling.jpg +0 -0
- test_images/frenchfries.jpg +0 -0
- test_images/pancake.jpg +0 -0
- test_images/pizza_1.jpg +0 -0
- test_images/waffle.jpg +0 -0
.gitattributes
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@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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101_food_class_100_percent_saved_big_model/variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
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101_food_class_100_percent_saved_big_model/keras_metadata.pb
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version https://git-lfs.github.com/spec/v1
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oid sha256:6fa4004d0d4bbdfd447f39866ffc135b60a6753d5feeed9cdec612ff6b7f2125
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size 772844
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101_food_class_100_percent_saved_big_model/saved_model.pb
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version https://git-lfs.github.com/spec/v1
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oid sha256:8f56a7ef6c9e44334287d49fc6659778101a3251e30a7aa867f740fabf3c65e9
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size 5951086
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101_food_class_100_percent_saved_big_model/variables/variables.data-00000-of-00001
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version https://git-lfs.github.com/spec/v1
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oid sha256:4e297ea1a0347b28c514af39144a31d64c1abb4f40e2a6f3447702573f1c912b
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size 16922493
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101_food_class_100_percent_saved_big_model/variables/variables.index
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Binary file (18.6 kB). View file
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app.py
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import tensorflow as tf
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import streamlit as st
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# import cv2
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from PIL import Image
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from streamlit_image_select import image_select
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# import os
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def load_and_prep_image(filename, img_shape=224, scale=True):
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"""
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Reads in an image from filename, turns it into a tensor and reshapes into
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(224, 224, 3).
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Parameters
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----------
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filename (str): string filename of target image
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img_shape (int): size to resize target image to, default 224
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scale (bool): whether to scale pixel values to range(0, 1), default True
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"""
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# # Read in the image
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# img = tf.io.read_file(filename)
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# # Decode it into a tensor
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# img = tf.io.decode_image(img)
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img = tf.convert_to_tensor(filename)
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# Resize the image
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img = tf.image.resize(img, [img_shape, img_shape])
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if scale:
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# Rescale the image (get all values between 0 and 1)
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return img/255.
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else:
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return img
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class_names = ['apple_pie', 'baby_back_ribs', 'baklava', 'beef_carpaccio', 'beef_tartare', 'beet_salad', 'beignets',
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'bibimbap', 'bread_pudding', 'breakfast_burrito', 'bruschetta', 'caesar_salad', 'cannoli', 'caprese_salad', 'carrot_cake',
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'ceviche', 'cheese_plate', 'cheesecake', 'chicken_curry', 'chicken_quesadilla', 'chicken_wings', 'chocolate_cake',
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'chocolate_mousse', 'churros', 'clam_chowder', 'club_sandwich', 'crab_cakes', 'creme_brulee', 'croque_madame',
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'cup_cakes', 'deviled_eggs', 'donuts', 'dumplings', 'edamame', 'eggs_benedict', 'escargots', 'falafel', 'filet_mignon',
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'fish_and_chips', 'foie_gras', 'french_fries', 'french_onion_soup', 'french_toast', 'fried_calamari', 'fried_rice',
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'frozen_yogurt', 'garlic_bread', 'gnocchi', 'greek_salad', 'grilled_cheese_sandwich', 'grilled_salmon', 'guacamole',
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'gyoza', 'hamburger', 'hot_and_sour_soup', 'hot_dog', 'huevos_rancheros', 'hummus', 'ice_cream', 'lasagna', 'lobster_bisque',
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'lobster_roll_sandwich', 'macaroni_and_cheese', 'macarons', 'miso_soup', 'mussels', 'nachos', 'omelette', 'onion_rings',
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'oysters', 'pad_thai', 'paella', 'pancakes', 'panna_cotta', 'peking_duck', 'pho', 'pizza', 'pork_chop', 'poutine', 'prime_rib',
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'pulled_pork_sandwich', 'ramen', 'ravioli', 'red_velvet_cake', 'risotto', 'samosa', 'sashimi', 'scallops', 'seaweed_salad',
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'shrimp_and_grits', 'spaghetti_bolognese', 'spaghetti_carbonara', 'spring_rolls', 'steak', 'strawberry_shortcake', 'sushi',
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'tacos', 'takoyaki', 'tiramisu', 'tuna_tartare', 'waffles']
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#load model
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@st.cache(allow_output_mutation = True)
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def cache_model(model_name):
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model = tf.keras.models.load_model(model_name)
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return (model)
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model = cache_model("101_food_class_100_percent_saved_big_model")
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# model = tf.keras.models.load_model("101_food_class_100_percent_saved_big_model")
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st.write("""
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# Food Classification App
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"""
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)
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st.write("""#### ***Upload food image and this app will classify the uploaded image from one of the mentioned categories.***""")
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st.write("""
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**Some major food categories**
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```
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pizza, cup_cakes, donuts, samosa, ice_cream, french_fries, waffles etc.
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```
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for full categories list please visit the [link](https://github.com/gourav300/food_app)
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""")
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### load file
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uploaded_file = st.file_uploader("Upload an image file for above mentioned Food Categories or select a food image", type=["jpg", "png", "jpeg"])
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test_img = image_select(
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label="Select a sample food image",
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images=[
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"test_images/Cardamom-Saffron-Cupcakes-1.jpg",
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"test_images/doughnut_1.jpg",
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"test_images/frenchfries.jpg",
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"test_images/Punjabi-Samosa-2.jpg",
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"test_images/dumpling.jpg",
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"test_images/pizza_1.jpg",
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"test_images/waffle.jpg",
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"test_images/pancake.jpg"
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],
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captions=["Cupcake", "Doughnut", "French fries", "Samosa", "Dumpling", "Pizza", "Waffle", "Pancake"],
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)
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# st.set_option('deprecation.showfileUploaderEncoding', False)
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if uploaded_file is not None:
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image = Image.open(uploaded_file)
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st.image(image,width = 500)#, use_column_width=True)
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else:
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image = Image.open(test_img)
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st.image(image, width = 500)#,use_column_width=True)
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# Load the image and make predictions
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img = load_and_prep_image(image, scale=False) # don't scale images for EfficientNet predictions
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pred_prob = model.predict(tf.expand_dims(img, axis=0)) # model accepts tensors of shape [None, 224, 224, 3]
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pred_class = class_names[pred_prob.argmax()] # find the predicted class
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st.write(f"## Predicted food: {pred_class}, with Probability: {pred_prob.max():.2f}")
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requirements.txt
ADDED
@@ -0,0 +1,4 @@
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tensorflow == 2.11.0
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streamlit == 1.15.2
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Pillow == 9.3.0
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streamlit-image-select == 0.5.1
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test_images/Cardamom-Saffron-Cupcakes-1.jpg
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![]() |
test_images/Punjabi-Samosa-2.jpg
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test_images/doughnut_1.jpg
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test_images/dumpling.jpg
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test_images/frenchfries.jpg
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test_images/pancake.jpg
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test_images/pizza_1.jpg
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test_images/waffle.jpg
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![]() |