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Streamlit example for computer vision. To run, just execute python streamlit_for_computer_vision.py
import streamlit as st
import numpy as np
from PIL import Image
import cv2
from io import BytesIO
import base64
import uuid
import re
@st.cache
def download_button(object_to_download, download_filename, button_text, isPNG):
"""
Generates a link to download the given object_to_download.
Params:
------
object_to_download: The object to be downloaded.
download_filename (str): filename and extension of file. e.g. mydata.csv,
some_txt_output.txt download_link_text (str): Text to display for download
link.
button_text (str): Text to display on download button (e.g. 'click here to download file')
pickle_it (bool): If True, pickle file.
Returns:
-------
(str): the anchor tag to download object_to_download
Examples:
--------
download_link(Pillow_image_from_cv_matrix, 'your_image.jpg', 'Click to me to download!')
"""
buffered = BytesIO()
if isPNG:
object_to_download.save(buffered, format="PNG")
else:
object_to_download.save(buffered, format="JPEG")
b64 = base64.b64encode(buffered.getvalue()).decode()
button_uuid = str(uuid.uuid4()).replace('-', '')
button_id = re.sub('\d+', '', button_uuid)
custom_css = f"""
<style>
#{button_id} {{
display: inline-flex;
align-items: center;
justify-content: center;
background-color: rgb(255, 255, 255);
color: rgb(38, 39, 48);
padding: .25rem .75rem;
position: relative;
text-decoration: none;
border-radius: 4px;
border-width: 1px;
border-style: solid;
border-color: rgb(230, 234, 241);
border-image: initial;
}}
#{button_id}:hover {{
border-color: rgb(246, 51, 102);
color: rgb(246, 51, 102);
}}
#{button_id}:active {{
box-shadow: none;
background-color: rgb(246, 51, 102);
color: white;
}}
</style> """
dl_link = custom_css + f'<a download="{download_filename}" id="{button_id}" href="data:file/txt;base64,{b64}">{button_text}</a><br></br>'
return dl_link
st.title("Upload and Download!")
image_file_buffer = st.file_uploader("Upload your image", type=["jpg", "jpeg", 'png'])
if image_file_buffer is not None:
image = np.array(Image.open(image_file_buffer))
st.image(
image, caption=f"Original Image", use_column_width=True
)
if image.shape[2] > 3:
isPNG = True
output_extension = ".png"
else:
isPNG = False
output_extension = ".jpg"
result = Image.fromarray(image)
st.markdown(download_button(result,f"your_output_file{output_extension}", "Click me to download!!!", isPNG), unsafe_allow_html=True)
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