From 2301f534164e301388d511b44699db015d0034e4 Mon Sep 17 00:00:00 2001 From: subratamondal1 Date: Thu, 8 Aug 2024 11:34:51 +0000 Subject: [PATCH] the app created successfully --- main.py | 38 ++++---- poetry.lock | 205 ++++++++++++++++++-------------------------- preprocess_image.py | 32 +++++++ pyproject.toml | 2 + replit.nix | 6 ++ 5 files changed, 141 insertions(+), 142 deletions(-) create mode 100644 preprocess_image.py create mode 100644 replit.nix diff --git a/main.py b/main.py index 1e3f45f..14bc7b8 100644 --- a/main.py +++ b/main.py @@ -1,33 +1,31 @@ import streamlit as st from PIL import Image +from preprocess_image import grayscale_contrast -# Title of the app st.title("Document Extraction") # Image uploader in the sidebar uploaded_image = st.sidebar.file_uploader("**Upload Image**", type=["jpg", "jpeg", "png"]) -# Main content area -st.write("### Image Preview") - -if uploaded_image is not None: - # Open the uploaded image using PIL - image = Image.open(uploaded_image) +if uploaded_image: + st.write("### Image Preview") # Display the original image - st.image(image, caption="Uploaded Image", use_column_width=True) - - # Placeholder for processed image (for demonstration, we'll just display the same image) - processed_image = image # Replace this with your image processing function - - # Display the processed image - st.write("### Processed Image") - st.image(processed_image, caption="Processed Image", use_column_width=True) + # original_image = Image.open(uploaded_image) + st.image(uploaded_image, caption="Uploaded Image", use_column_width=True) # Optionally, you can add a button to trigger processing - if st.sidebar.button("Process Image"): - # Add your image processing logic here - st.success("Image processed successfully!") -else: - st.info("Please upload an image to see the results.") + if st.button("Process Image"): + # Process the uploaded image + preprocessed_image = grayscale_contrast(uploaded_image) + + if preprocessed_image: + # Display the processed image + st.write("### Processed Image") + st.image(preprocessed_image, + caption="Processed Image", + use_column_width=True) + st.success("Image processed successfully!") + else: + st.info("Please upload an image to see the results.") diff --git a/poetry.lock b/poetry.lock index 7e746cb..63c6f20 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.5.4 and should not be changed by hand. [[package]] name = "altair" @@ -241,25 +241,6 @@ files = [ {file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"}, ] -[[package]] -name = "importlib-metadata" -version = "6.8.0" -description = "Read metadata from Python packages" -optional = false -python-versions = ">=3.8" -files = [ - {file = "importlib_metadata-6.8.0-py3-none-any.whl", hash = "sha256:3ebb78df84a805d7698245025b975d9d67053cd94c79245ba4b3eb694abe68bb"}, - {file = "importlib_metadata-6.8.0.tar.gz", hash = "sha256:dbace7892d8c0c4ac1ad096662232f831d4e64f4c4545bd53016a3e9d4654743"}, -] - -[package.dependencies] -zipp = ">=0.5" - -[package.extras] -docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] -perf = ["ipython"] -testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"] - [[package]] name = "jinja2" version = "3.1.2" @@ -418,43 +399,81 @@ files = [ [[package]] name = "numpy" -version = "1.26.0" +version = "2.0.1" description = "Fundamental package for array computing in Python" optional = false -python-versions = "<3.13,>=3.9" +python-versions = ">=3.9" files = [ - {file = "numpy-1.26.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f8db2f125746e44dce707dd44d4f4efeea8d7e2b43aace3f8d1f235cfa2733dd"}, - {file = "numpy-1.26.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0621f7daf973d34d18b4e4bafb210bbaf1ef5e0100b5fa750bd9cde84c7ac292"}, - {file = "numpy-1.26.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:51be5f8c349fdd1a5568e72713a21f518e7d6707bcf8503b528b88d33b57dc68"}, - {file = "numpy-1.26.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:767254ad364991ccfc4d81b8152912e53e103ec192d1bb4ea6b1f5a7117040be"}, - {file = "numpy-1.26.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:436c8e9a4bdeeee84e3e59614d38c3dbd3235838a877af8c211cfcac8a80b8d3"}, - {file = "numpy-1.26.0-cp310-cp310-win32.whl", hash = "sha256:c2e698cb0c6dda9372ea98a0344245ee65bdc1c9dd939cceed6bb91256837896"}, - {file = "numpy-1.26.0-cp310-cp310-win_amd64.whl", hash = "sha256:09aaee96c2cbdea95de76ecb8a586cb687d281c881f5f17bfc0fb7f5890f6b91"}, - {file = "numpy-1.26.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:637c58b468a69869258b8ae26f4a4c6ff8abffd4a8334c830ffb63e0feefe99a"}, - {file = "numpy-1.26.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:306545e234503a24fe9ae95ebf84d25cba1fdc27db971aa2d9f1ab6bba19a9dd"}, - {file = "numpy-1.26.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8c6adc33561bd1d46f81131d5352348350fc23df4d742bb246cdfca606ea1208"}, - {file = "numpy-1.26.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e062aa24638bb5018b7841977c360d2f5917268d125c833a686b7cbabbec496c"}, - {file = "numpy-1.26.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:546b7dd7e22f3c6861463bebb000646fa730e55df5ee4a0224408b5694cc6148"}, - {file = "numpy-1.26.0-cp311-cp311-win32.whl", hash = "sha256:c0b45c8b65b79337dee5134d038346d30e109e9e2e9d43464a2970e5c0e93229"}, - {file = "numpy-1.26.0-cp311-cp311-win_amd64.whl", hash = "sha256:eae430ecf5794cb7ae7fa3808740b015aa80747e5266153128ef055975a72b99"}, - {file = "numpy-1.26.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:166b36197e9debc4e384e9c652ba60c0bacc216d0fc89e78f973a9760b503388"}, - {file = "numpy-1.26.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f042f66d0b4ae6d48e70e28d487376204d3cbf43b84c03bac57e28dac6151581"}, - {file = "numpy-1.26.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e5e18e5b14a7560d8acf1c596688f4dfd19b4f2945b245a71e5af4ddb7422feb"}, - {file = "numpy-1.26.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7f6bad22a791226d0a5c7c27a80a20e11cfe09ad5ef9084d4d3fc4a299cca505"}, - {file = "numpy-1.26.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:4acc65dd65da28060e206c8f27a573455ed724e6179941edb19f97e58161bb69"}, - {file = "numpy-1.26.0-cp312-cp312-win32.whl", hash = "sha256:bb0d9a1aaf5f1cb7967320e80690a1d7ff69f1d47ebc5a9bea013e3a21faec95"}, - {file = "numpy-1.26.0-cp312-cp312-win_amd64.whl", hash = "sha256:ee84ca3c58fe48b8ddafdeb1db87388dce2c3c3f701bf447b05e4cfcc3679112"}, - {file = "numpy-1.26.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:4a873a8180479bc829313e8d9798d5234dfacfc2e8a7ac188418189bb8eafbd2"}, - {file = "numpy-1.26.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:914b28d3215e0c721dc75db3ad6d62f51f630cb0c277e6b3bcb39519bed10bd8"}, - {file = "numpy-1.26.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c78a22e95182fb2e7874712433eaa610478a3caf86f28c621708d35fa4fd6e7f"}, - {file = "numpy-1.26.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:86f737708b366c36b76e953c46ba5827d8c27b7a8c9d0f471810728e5a2fe57c"}, - {file = "numpy-1.26.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:b44e6a09afc12952a7d2a58ca0a2429ee0d49a4f89d83a0a11052da696440e49"}, - {file = "numpy-1.26.0-cp39-cp39-win32.whl", hash = "sha256:5671338034b820c8d58c81ad1dafc0ed5a00771a82fccc71d6438df00302094b"}, - {file = "numpy-1.26.0-cp39-cp39-win_amd64.whl", hash = "sha256:020cdbee66ed46b671429c7265cf00d8ac91c046901c55684954c3958525dab2"}, - {file = "numpy-1.26.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:0792824ce2f7ea0c82ed2e4fecc29bb86bee0567a080dacaf2e0a01fe7654369"}, - {file = "numpy-1.26.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7d484292eaeb3e84a51432a94f53578689ffdea3f90e10c8b203a99be5af57d8"}, - {file = "numpy-1.26.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:186ba67fad3c60dbe8a3abff3b67a91351100f2661c8e2a80364ae6279720299"}, - {file = "numpy-1.26.0.tar.gz", hash = "sha256:f93fc78fe8bf15afe2b8d6b6499f1c73953169fad1e9a8dd086cdff3190e7fdf"}, + {file = "numpy-2.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0fbb536eac80e27a2793ffd787895242b7f18ef792563d742c2d673bfcb75134"}, + {file = "numpy-2.0.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:69ff563d43c69b1baba77af455dd0a839df8d25e8590e79c90fcbe1499ebde42"}, + {file = "numpy-2.0.1-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:1b902ce0e0a5bb7704556a217c4f63a7974f8f43e090aff03fcf262e0b135e02"}, + {file = "numpy-2.0.1-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:f1659887361a7151f89e79b276ed8dff3d75877df906328f14d8bb40bb4f5101"}, + {file = "numpy-2.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4658c398d65d1b25e1760de3157011a80375da861709abd7cef3bad65d6543f9"}, + {file = "numpy-2.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4127d4303b9ac9f94ca0441138acead39928938660ca58329fe156f84b9f3015"}, + {file = "numpy-2.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:e5eeca8067ad04bc8a2a8731183d51d7cbaac66d86085d5f4766ee6bf19c7f87"}, + {file = "numpy-2.0.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:9adbd9bb520c866e1bfd7e10e1880a1f7749f1f6e5017686a5fbb9b72cf69f82"}, + {file = "numpy-2.0.1-cp310-cp310-win32.whl", hash = "sha256:7b9853803278db3bdcc6cd5beca37815b133e9e77ff3d4733c247414e78eb8d1"}, + {file = "numpy-2.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:81b0893a39bc5b865b8bf89e9ad7807e16717f19868e9d234bdaf9b1f1393868"}, + {file = "numpy-2.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:75b4e316c5902d8163ef9d423b1c3f2f6252226d1aa5cd8a0a03a7d01ffc6268"}, + {file = "numpy-2.0.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6e4eeb6eb2fced786e32e6d8df9e755ce5be920d17f7ce00bc38fcde8ccdbf9e"}, + {file = "numpy-2.0.1-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:a1e01dcaab205fbece13c1410253a9eea1b1c9b61d237b6fa59bcc46e8e89343"}, + {file = "numpy-2.0.1-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:a8fc2de81ad835d999113ddf87d1ea2b0f4704cbd947c948d2f5513deafe5a7b"}, + {file = "numpy-2.0.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5a3d94942c331dd4e0e1147f7a8699a4aa47dffc11bf8a1523c12af8b2e91bbe"}, + {file = "numpy-2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:15eb4eca47d36ec3f78cde0a3a2ee24cf05ca7396ef808dda2c0ddad7c2bde67"}, + {file = "numpy-2.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:b83e16a5511d1b1f8a88cbabb1a6f6a499f82c062a4251892d9ad5d609863fb7"}, + {file = "numpy-2.0.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1f87fec1f9bc1efd23f4227becff04bd0e979e23ca50cc92ec88b38489db3b55"}, + {file = "numpy-2.0.1-cp311-cp311-win32.whl", hash = "sha256:36d3a9405fd7c511804dc56fc32974fa5533bdeb3cd1604d6b8ff1d292b819c4"}, + {file = "numpy-2.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:08458fbf403bff5e2b45f08eda195d4b0c9b35682311da5a5a0a0925b11b9bd8"}, + {file = "numpy-2.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:6bf4e6f4a2a2e26655717a1983ef6324f2664d7011f6ef7482e8c0b3d51e82ac"}, + {file = "numpy-2.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7d6fddc5fe258d3328cd8e3d7d3e02234c5d70e01ebe377a6ab92adb14039cb4"}, + {file = "numpy-2.0.1-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:5daab361be6ddeb299a918a7c0864fa8618af66019138263247af405018b04e1"}, + {file = "numpy-2.0.1-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:ea2326a4dca88e4a274ba3a4405eb6c6467d3ffbd8c7d38632502eaae3820587"}, + {file = "numpy-2.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:529af13c5f4b7a932fb0e1911d3a75da204eff023ee5e0e79c1751564221a5c8"}, + {file = "numpy-2.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6790654cb13eab303d8402354fabd47472b24635700f631f041bd0b65e37298a"}, + {file = "numpy-2.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:cbab9fc9c391700e3e1287666dfd82d8666d10e69a6c4a09ab97574c0b7ee0a7"}, + {file = "numpy-2.0.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:99d0d92a5e3613c33a5f01db206a33f8fdf3d71f2912b0de1739894668b7a93b"}, + {file = "numpy-2.0.1-cp312-cp312-win32.whl", hash = "sha256:173a00b9995f73b79eb0191129f2455f1e34c203f559dd118636858cc452a1bf"}, + {file = "numpy-2.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:bb2124fdc6e62baae159ebcfa368708867eb56806804d005860b6007388df171"}, + {file = "numpy-2.0.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:bfc085b28d62ff4009364e7ca34b80a9a080cbd97c2c0630bb5f7f770dae9414"}, + {file = "numpy-2.0.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:8fae4ebbf95a179c1156fab0b142b74e4ba4204c87bde8d3d8b6f9c34c5825ef"}, + {file = "numpy-2.0.1-cp39-cp39-macosx_14_0_arm64.whl", hash = "sha256:72dc22e9ec8f6eaa206deb1b1355eb2e253899d7347f5e2fae5f0af613741d06"}, + {file = "numpy-2.0.1-cp39-cp39-macosx_14_0_x86_64.whl", hash = "sha256:ec87f5f8aca726117a1c9b7083e7656a9d0d606eec7299cc067bb83d26f16e0c"}, + {file = "numpy-2.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f682ea61a88479d9498bf2091fdcd722b090724b08b31d63e022adc063bad59"}, + {file = "numpy-2.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8efc84f01c1cd7e34b3fb310183e72fcdf55293ee736d679b6d35b35d80bba26"}, + {file = "numpy-2.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:3fdabe3e2a52bc4eff8dc7a5044342f8bd9f11ef0934fcd3289a788c0eb10018"}, + {file = "numpy-2.0.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:24a0e1befbfa14615b49ba9659d3d8818a0f4d8a1c5822af8696706fbda7310c"}, + {file = "numpy-2.0.1-cp39-cp39-win32.whl", hash = "sha256:f9cf5ea551aec449206954b075db819f52adc1638d46a6738253a712d553c7b4"}, + {file = "numpy-2.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:e9e81fa9017eaa416c056e5d9e71be93d05e2c3c2ab308d23307a8bc4443c368"}, + {file = "numpy-2.0.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:61728fba1e464f789b11deb78a57805c70b2ed02343560456190d0501ba37b0f"}, + {file = "numpy-2.0.1-pp39-pypy39_pp73-macosx_14_0_x86_64.whl", hash = "sha256:12f5d865d60fb9734e60a60f1d5afa6d962d8d4467c120a1c0cda6eb2964437d"}, + {file = "numpy-2.0.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eacf3291e263d5a67d8c1a581a8ebbcfd6447204ef58828caf69a5e3e8c75990"}, + {file = "numpy-2.0.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:2c3a346ae20cfd80b6cfd3e60dc179963ef2ea58da5ec074fd3d9e7a1e7ba97f"}, + {file = "numpy-2.0.1.tar.gz", hash = "sha256:485b87235796410c3519a699cfe1faab097e509e90ebb05dcd098db2ae87e7b3"}, +] + +[[package]] +name = "opencv-python" +version = "4.10.0.84" +description = "Wrapper package for OpenCV python bindings." +optional = false +python-versions = ">=3.6" +files = [ + {file = "opencv-python-4.10.0.84.tar.gz", hash = "sha256:72d234e4582e9658ffea8e9cae5b63d488ad06994ef12d81dc303b17472f3526"}, + {file = "opencv_python-4.10.0.84-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:fc182f8f4cda51b45f01c64e4cbedfc2f00aff799debebc305d8d0210c43f251"}, + {file = "opencv_python-4.10.0.84-cp37-abi3-macosx_12_0_x86_64.whl", hash = "sha256:71e575744f1d23f79741450254660442785f45a0797212852ee5199ef12eed98"}, + {file = "opencv_python-4.10.0.84-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:09a332b50488e2dda866a6c5573ee192fe3583239fb26ff2f7f9ceb0bc119ea6"}, + {file = "opencv_python-4.10.0.84-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9ace140fc6d647fbe1c692bcb2abce768973491222c067c131d80957c595b71f"}, + {file = "opencv_python-4.10.0.84-cp37-abi3-win32.whl", hash = "sha256:2db02bb7e50b703f0a2d50c50ced72e95c574e1e5a0bb35a8a86d0b35c98c236"}, + {file = "opencv_python-4.10.0.84-cp37-abi3-win_amd64.whl", hash = "sha256:32dbbd94c26f611dc5cc6979e6b7aa1f55a64d6b463cc1dcd3c95505a63e48fe"}, +] + +[package.dependencies] +numpy = [ + {version = ">=1.21.2", markers = "python_version >= \"3.10\""}, + {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\""}, + {version = ">=1.19.3", markers = "python_version >= \"3.6\" and platform_system == \"Linux\" and platform_machine == \"aarch64\" or python_version >= \"3.9\""}, + {version = ">=1.17.0", markers = "python_version >= \"3.7\""}, + {version = ">=1.17.3", markers = "python_version >= \"3.8\""}, ] [[package]] @@ -906,13 +925,13 @@ files = [ [[package]] name = "streamlit" -version = "1.27.2" +version = "1.37.1" description = "A faster way to build and share data apps" optional = false -python-versions = ">=3.8, !=3.9.7" +python-versions = "!=3.9.7,>=3.8" files = [ - {file = "streamlit-1.27.2-py2.py3-none-any.whl", hash = "sha256:726dd2bee638e0976aa72552900648d4ead4be28e30235355f10c25062669369"}, - {file = "streamlit-1.27.2.tar.gz", hash = "sha256:33f9ae0de5b7d59cd7daba87754c54ec837a76c24acfc41d1f8e5148f20903ee"}, + {file = "streamlit-1.37.1-py2.py3-none-any.whl", hash = "sha256:0651240fccc569900cc9450390b0a67473fda55be65f317e46285f99e2bddf04"}, + {file = "streamlit-1.37.1.tar.gz", hash = "sha256:bc7e3813d94a39dda56f15678437eb37830973c601e8e574f2225a7bf188ea5a"}, ] [package.dependencies] @@ -921,24 +940,20 @@ blinker = ">=1.0.0,<2" cachetools = ">=4.0,<6" click = ">=7.0,<9" gitpython = ">=3.0.7,<3.1.19 || >3.1.19,<4" -importlib-metadata = ">=1.4,<7" -numpy = ">=1.19.3,<2" -packaging = ">=16.8,<24" +numpy = ">=1.20,<3" +packaging = ">=20,<25" pandas = ">=1.3.0,<3" pillow = ">=7.1.0,<11" -protobuf = ">=3.20,<5" -pyarrow = ">=6.0" +protobuf = ">=3.20,<6" +pyarrow = ">=7.0" pydeck = ">=0.8.0b4,<1" -python-dateutil = ">=2.7.3,<3" requests = ">=2.27,<3" rich = ">=10.14.0,<14" tenacity = ">=8.1.0,<9" toml = ">=0.10.1,<2" tornado = ">=6.0.3,<7" typing-extensions = ">=4.3.0,<5" -tzlocal = ">=1.1,<6" -validators = ">=0.2,<1" -watchdog = {version = ">=2.1.5", markers = "platform_system != \"Darwin\""} +watchdog = {version = ">=2.1.5,<5", markers = "platform_system != \"Darwin\""} [package.extras] snowflake = ["snowflake-connector-python (>=2.8.0)", "snowflake-snowpark-python (>=0.9.0)"] @@ -1021,23 +1036,6 @@ files = [ {file = "tzdata-2023.3.tar.gz", hash = "sha256:11ef1e08e54acb0d4f95bdb1be05da659673de4acbd21bf9c69e94cc5e907a3a"}, ] -[[package]] -name = "tzlocal" -version = "5.1" -description = "tzinfo object for the local timezone" -optional = false -python-versions = ">=3.7" -files = [ - {file = "tzlocal-5.1-py3-none-any.whl", hash = "sha256:2938498395d5f6a898ab8009555cb37a4d360913ad375d4747ef16826b03ef23"}, - {file = "tzlocal-5.1.tar.gz", hash = "sha256:a5ccb2365b295ed964e0a98ad076fe10c495591e75505d34f154d60a7f1ed722"}, -] - -[package.dependencies] -tzdata = {version = "*", markers = "platform_system == \"Windows\""} - -[package.extras] -devenv = ["black", "check-manifest", "flake8", "pyroma", "pytest (>=4.3)", "pytest-cov", "pytest-mock (>=3.3)", "zest.releaser"] - [[package]] name = "urllib3" version = "2.0.6" @@ -1055,28 +1053,6 @@ secure = ["certifi", "cryptography (>=1.9)", "idna (>=2.0.0)", "pyopenssl (>=17. socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] zstd = ["zstandard (>=0.18.0)"] -[[package]] -name = "validators" -version = "0.22.0" -description = "Python Data Validation for Humans™" -optional = false -python-versions = ">=3.8" -files = [ - {file = "validators-0.22.0-py3-none-any.whl", hash = "sha256:61cf7d4a62bbae559f2e54aed3b000cea9ff3e2fdbe463f51179b92c58c9585a"}, - {file = "validators-0.22.0.tar.gz", hash = "sha256:77b2689b172eeeb600d9605ab86194641670cdb73b60afd577142a9397873370"}, -] - -[package.extras] -docs-offline = ["myst-parser (>=2.0.0)", "pypandoc-binary (>=1.11)", "sphinx (>=7.1.1)"] -docs-online = ["mkdocs (>=1.5.2)", "mkdocs-git-revision-date-localized-plugin (>=1.2.0)", "mkdocs-material (>=9.2.6)", "mkdocstrings[python] (>=0.22.0)", "pyaml (>=23.7.0)"] -hooks = ["pre-commit (>=3.3.3)"] -package = ["build (>=1.0.0)", "twine (>=4.0.2)"] -runner = ["tox (>=4.11.1)"] -sast = ["bandit[toml] (>=1.7.5)"] -testing = ["pytest (>=7.4.0)"] -tooling = ["black (>=23.7.0)", "pyright (>=1.1.325)", "ruff (>=0.0.287)"] -tooling-extras = ["pyaml (>=23.7.0)", "pypandoc-binary (>=1.11)", "pytest (>=7.4.0)"] - [[package]] name = "watchdog" version = "3.0.0" @@ -1116,22 +1092,7 @@ files = [ [package.extras] watchmedo = ["PyYAML (>=3.10)"] -[[package]] -name = "zipp" -version = "3.17.0" -description = "Backport of pathlib-compatible object wrapper for zip files" -optional = false -python-versions = ">=3.8" -files = [ - {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"}, - {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"}, -] - -[package.extras] -docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"] -testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"] - [metadata] lock-version = "2.0" python-versions = ">=3.10.0,<3.11" -content-hash = "c5a2abaabdbcc633114e4a895c25726e42ae9c37cec9aff227a3cc5594c5481c" +content-hash = "1308e23eab533db83fab22c58262cfc2d912cf0a82283b840e22abde31d0ac69" diff --git a/preprocess_image.py b/preprocess_image.py new file mode 100644 index 0000000..3ca806d --- /dev/null +++ b/preprocess_image.py @@ -0,0 +1,32 @@ +import cv2 +import numpy as np +from PIL import Image +import io + + +def grayscale_contrast(uploaded_image): + """Returns a PIL Image object of the preprocessed image""" + # Read the image from the uploaded file-like object + file_bytes = np.asarray(bytearray(uploaded_image.read()), dtype=np.uint8) + image = cv2.imdecode(file_bytes, cv2.IMREAD_COLOR) + + # Check if the image was loaded successfully + if image is None: + raise ValueError( + "Error: Unable to read the image. Please upload a valid image file." + ) + + # Convert to grayscale + gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) + + # Apply histogram equalization to increase contrast + equalized = cv2.equalizeHist(gray) + + # Apply sharpening filter + kernel = np.array([[-1, -1, -1], [-1, 9, -1], [-1, -1, -1]]) + sharpened = cv2.filter2D(equalized, -1, kernel) + + # Convert the preprocessed image to a PIL Image object + pil_image = Image.fromarray(sharpened) + + return pil_image diff --git a/pyproject.toml b/pyproject.toml index 65ae9d1..aa673cc 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,6 +7,8 @@ authors = ["Your Name "] [tool.poetry.dependencies] python = ">=3.10.0,<3.11" streamlit = "^1.27.2" +opencv-python = "^4.10.0.84" +numpy = "^2.0.1" [tool.pyright] # https://github.com/microsoft/pyright/blob/main/docs/configuration.md diff --git a/replit.nix b/replit.nix new file mode 100644 index 0000000..51253cf --- /dev/null +++ b/replit.nix @@ -0,0 +1,6 @@ +{pkgs}: { + deps = [ + pkgs.libGLU + pkgs.libGL + ]; +}