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import os | |
import streamlit as st | |
import tensorflow as tf | |
from ..image_utils import load_img, imshow, transform_img | |
def upload_image_url(ImageSelectionPrompt, ImageType, image_upload_method): | |
st.write(f"{ImageSelectionPrompt}: {image_upload_method}") | |
url = st.text_input(f"{ImageType} Image URL") | |
try: | |
image_path = tf.keras.utils.get_file( | |
os.path.join(os.getcwd(), f"{ImageType.lower()}.jpg"), url | |
) | |
except: | |
pass | |
try: | |
return load_img(image_path) | |
except: | |
pass | |
def upload_image_file(ImageSelectionPrompt, ImageType, image_upload_method): | |
st.write(f"{ImageSelectionPrompt}: {image_upload_method}") | |
image_file = st.file_uploader( | |
f"Upload {ImageType} Image File (png or jpg)", type=("png", "jpg") | |
) | |
try: | |
image_file = image_file.read() | |
return transform_img(image_file) | |
except: | |
pass | |
def upload_image_capture(ImageSelectionPrompt, ImageType, image_upload_method): | |
st.write(f"{ImageSelectionPrompt}: {image_upload_method}") | |
image_file = st.camera_input(f"Capture {ImageType} Image") | |
try: | |
image_file = image_file.read() | |
return transform_img(image_file) | |
except: | |
pass | |
def upload_image(ColumnTitle, ImageSelectionPrompt, ImageType, KeyString): | |
st.write(ColumnTitle) | |
image_upload_method = st.radio( | |
label="", options=["π URL", "π File Upload", "πΈ Capture"], key=KeyString | |
) | |
if image_upload_method == "π URL": | |
image_file = upload_image_url( | |
ImageSelectionPrompt, ImageType, image_upload_method | |
) | |
if image_upload_method == "π File Upload": | |
image_file = upload_image_file( | |
ImageSelectionPrompt, ImageType, image_upload_method | |
) | |
if image_upload_method == "πΈ Capture": | |
image_file = upload_image_capture( | |
ImageSelectionPrompt, ImageType, image_upload_method | |
) | |
try: | |
st.write(f"{ImageType} Image") | |
st.image(imshow(image_file)) | |
return image_file | |
except: | |
pass | |