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September 6, 2020 16:06
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Streamlit color namer
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import numpy as np | |
from PIL import Image | |
from colornamer import get_color_from_rgb | |
import streamlit as st | |
from streamlit_cropper import st_cropper | |
st.set_option('deprecation.showfileUploaderEncoding', False) | |
st.title("Color namer demo") | |
img_file = st.sidebar.file_uploader(label='Upload a file', type=['png', 'jpg']) | |
box_color = st.sidebar.beta_color_picker(label="Box Color", value='#ffff00') | |
if not img_file: | |
st.info("Upload file in sidebar") | |
if img_file: | |
st.markdown("Select the zone of the image you want to get the name color of") | |
img = Image.open(img_file) | |
cropped_img = st_cropper(img, realtime_update=True, box_color=box_color, aspect_ratio=None) | |
np_img = np.asarray((cropped_img)) | |
avg_color_per_row = np.average(np_img, axis=0) | |
avg_color = np.average(avg_color_per_row, axis=0) | |
color_names = get_color_from_rgb(avg_color) | |
st.markdown(f"The Common Color in selected zone is: {color_names['common_color']}") | |
st.sidebar.markdown("_Credits to [Stitchfix colornamer](https://github.com/stitchfix/colornamer/) and [streamlit-cropper](https://github.com/turner-anderson/streamlit-cropper)_") |
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