TimeSFormer / capture_picture.py
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import streamlit as st
import cv2
import numpy as np
img_file_buffer = st.camera_input("Take a picture")
if img_file_buffer is not None:
# To read image file buffer with OpenCV:
bytes_data = img_file_buffer.getvalue()
cv2_img: np.ndarray = cv2.imdecode(
np.frombuffer(bytes_data, np.uint8), cv2.IMREAD_COLOR
)
# Check the type of cv2_img:
# Should output: <class 'numpy.ndarray'>
st.write(type(cv2_img))
# Check the shape of cv2_img:
# Should output shape: (height, width, channels)
st.write(cv2_img.shape)