I can’t run app with opencv-python or opencv-python-headless in streamlit cloud.
Even if I try to do something like this
import os
os.system(‘pip install opencv-python-headless’)
I got always this error:
ModuleNotFoundError: This app has encountered an error. The original error message is redacted to prevent data leaks. Full error details have been recorded in the logs (if you’re on Streamlit Cloud, click on ‘Manage app’ in the lower right of your app).
Traceback:
File "/home/adminuser/venv/lib/python3.9/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 534, in _run_script
exec(code, module.__dict__)File "/mount/src/c_convert/c_convert.py", line 7, in <module>
import cv2
No is private and error is still the same ModuleNotFoundError: This app has encountered an error. The original error message is redacted to prevent data leaks. Full error details have been recorded in the logs (if you’re on Streamlit Cloud, click on ‘Manage app’ in the lower right of your app).
Traceback:
File "/home/adminuser/venv/lib/python3.9/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 534, in _run_script
exec(code, module.__dict__)File "/mount/src/c_convert/c_convert.py", line 7, in <module>
import cv2
Without seeing the actual code in the repo i cannot help. Most of the time this error is pretty trivial and you waste a lot of time guessing if you don’t see the code…
import streamlit as st
import cv2
import numpy as np
import os
st.header(‘Konwerter niebieskich stron zeskanowanych w formie pliku jpg’)
up_file = st.file_uploader(“Wybierz plik jpg”)
if up_file is not None:
file_name = os.path.splitext(up_file.name)[0]
# Read the images
file_bytes = np.asarray(bytearray(up_file.read()), dtype=np.uint8)
img = cv2.imdecode(file_bytes, cv2.IMREAD_COLOR)
# Resizing the image
image = cv2.resize(img, (1700, 2600))
hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
# Defining lower and upper bound HSV values
lower = np.array([0, 50, 50]) #[0, 50, 50]
upper = np.array([204, 255, 255]) #[204, 255, 255]
# Defining mask for detecting color
mask = cv2.inRange(hsv, lower, upper)
# Convert color on the image to black where we found blue
image[mask>0]=(192,192,192) #(51,0,0) is black (192,192,192) light grey
file_name_input = st.text_input('Tutaj możesz wprowadzić dowolną nazwę pliku po konwersji', file_name+'_B.jpg')
st.write('Nazwa pliku po konwersji to', file_name_input)
#cv2.imwrite(file_name_input,image)
#st.subheader('To jest wynik konwersji')
#st.image(file_name_input)
#st.download_button('Download gotowej wersji', file_name_input)
# Convert the processed image back to bytes
is_success, im_buf_arr = cv2.imencode(".jpg", image)
byte_im = im_buf_arr.tobytes()
# Display the processed image
st.subheader('To jest wynik konwersji')
st.image(byte_im, use_column_width=True)
# Provide a download button for the processed image
st.download_button('Download gotowej wersji', byte_im, file_name=file_name_input, mime='image/jpeg')
This is not my first app in streamlit cloud. The problem is, that I have to use another library: cv2 . And there is a problem with this library in streamlit cloud.
