[英]How to display image from a folder using button with Streamlit?
我想使用按鈕在我的流光 web 應用程序中顯示圖像。
因此,每當用戶單擊按鈕時,圖像必須顯示在流線型 web 應用程序上。
下面給出的代碼:
feature_choice2 = st.sidebar.multiselect("Plot Size", task2)
if st.button('Find Blueprint'):
if feature_choice2 == '3-marla':
imagee = cv2.imread('Floor_plans/3-marla.png')
cv2.imshow('Image', imagee)
st.image(imagee, caption='3 marla plot')
Streamlit 不會以自然形式上傳圖像,因此必須將其轉換為數組然后使用它。 希望這可以幫助:
import cv2
import numpy as np
import streamlit as st
uploaded_file = st.file_uploader("Choose a image file", type="jpg")
if uploaded_file is not None:
# Convert the file to an opencv image.
file_bytes = np.asarray(bytearray(uploaded_file.read()), dtype=np.uint8)
opencv_image = cv2.imdecode(file_bytes, 1)
# Now do something with the image! For example, let's display it:
st.image(opencv_image, channels="BGR")
cv2.imshow
在流光顯示圖像時不起作用,因為它會打開另一個單獨的 window。
除非您打算對圖像本身執行任何操作,
from PIL import Image
import streamlit as st
feature_choice2 = st.sidebar.multiselect("Plot Size", task2)
if st.button('Find Blueprint'):
if feature_choice2 == '3-marla':
image = Image.open('./Floor_plans/3-marla.png')
st.image(image, caption='3 marla plot',use_column_width=True)
注意:為此,您的目錄結構應該是
|- app.py # Your Streamlit Script
|- Floor_plans
|- 3-marla.png
也許這可以像我的一個 instafilter open-cv 應用程序一樣更有效地工作。
from PIL import Image
import numpy as np
import streamlit as st
# Function to Read and Manupilate Images
def load_image(img):
im = Image.open(img)
image = np.array(im)
return image
# Uploading the File to the Page
uploadFile = st.file_uploader(label="Upload image", type=['jpg', 'png'])
# Checking the Format of the page
if uploadFile is not None:
# Perform your Manupilations (In my Case applying Filters)
img = load_image(uploadFile)
st.image(img)
st.write("Image Uploaded Successfully")
else:
st.write("Make sure you image is in JPG/PNG Format.")
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