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import streamlit as st
from PIL import Image
import io
import sys, os
import torch
import torchvision.transforms as T
import torchvision.utils as vutils
import base64
import torch
import torchvision.transforms as T
from PIL import Image
from huggingface_hub import hf_hub_download
from model.MIRNet.model import MIRNet
from model.MIRNet.model import MIRNet
def run_model(input_image):
device = (
torch.device("cuda")
if torch.cuda.is_available()
else torch.device("mps")
if torch.backends.mps.is_available()
else torch.device("cpu")
)
model = MIRNet(num_features=64).to(device)
model_path = hf_hub_download(
repo_id="dblasko/mirnet-low-light-img-enhancement",
filename="mirnet_finetuned.pth",
)
model.load_state_dict(
torch.load(model_path, map_location=device)["model_state_dict"]
)
model.eval()
with torch.no_grad():
img = input_image
img_tensor = T.Compose(
[
T.Resize(400),
T.ToTensor(),
T.Normalize([0.0, 0.0, 0.0], [1.0, 1.0, 1.0]),
]
)(img).unsqueeze(0)
img_tensor = img_tensor.to(device)
if img_tensor.shape[2] % 8 != 0:
img_tensor = img_tensor[:, :, : -(img_tensor.shape[2] % 8), :]
if img_tensor.shape[3] % 8 != 0:
img_tensor = img_tensor[:, :, :, : -(img_tensor.shape[3] % 8)]
output = model(img_tensor)
vutils.save_image(output, open(f"temp.png", "wb"))
output_image = Image.open("temp.png")
os.remove("temp.png")
return output_image
def get_base64_font(font_path):
with open(font_path, "rb") as font_file:
return base64.b64encode(font_file.read()).decode()
st.set_page_config(layout="wide")
font_name = "Gloock"
gloock_b64 = get_base64_font("utils/assets/Gloock-Regular.ttf")
font_name_text = "Merriweather sans"
merri_b64 = get_base64_font("utils/assets/MerriweatherSans-Regular.ttf")
hide_streamlit_style = f"""
<style>
#MainMenu {'{visibility: hidden;}'}
footer {'{visibility: hidden;}'}
@font-face {{
font-family: '{font_name}';
src: url(data:font/ttf;base64,{gloock_b64}) format('truetype');
}}
@font-face {{
font-family: '{font_name_text}';
src: url(data:font/ttf;base64,{merri_b64}) format('truetype');
}}
span {{
font-family: '{font_name_text}';
}}
.e1nzilvr1, .st-emotion-cache-10trblm {{
font-family: '{font_name}';
font-size: 65px;
}}
</style>
"""
st.markdown(hide_streamlit_style, unsafe_allow_html=True)
st.title("Low-light event-image enhancement with MIRNet.")
# File uploader widget
uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])
if uploaded_file is not None:
# To read file as bytes:
bytes_data = uploaded_file.getvalue()
image = Image.open(io.BytesIO(bytes_data)).convert("RGB")
# Create two columns for images
col1, col2 = st.columns(2)
with col1:
st.image(image, caption="Original Image", use_column_width="always")
# Button to enhance image
if st.button("Enhance Image"):
with col2:
# Assume your model has a function 'enhance' to enhance the image
enhanced_image = run_model(image)
st.image(
enhanced_image, caption="Enhanced Image", use_column_width="always"
)
# Download button
buf = io.BytesIO()
enhanced_image.save(buf, format="JPEG")
byte_im = buf.getvalue()
st.download_button(
label="Download image",
data=byte_im,
file_name="enhanced_image.jpg",
mime="image/jpeg",
)
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