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from libs import *
from utils_func import create_dir, main_processing
create_dir("tempDir")
def load_image(image_file):
img = Image.open(image_file)
return img
def streamlit_app():
detection_model_path = "weight_files/clothes_detection_model.pt"
background_model_path = "weight_files/model.h5"
save_path = ""
image_file = None
st.title("""WELCOME TO MY APP""")
st.subheader("""FOR BACKGROUND REMOVAL AND CHANGE!""")
col1 = None
col2 = None
final_img = None
with st.spinner("[UPLOAD] Image uploading"):
try:
image_file = st.file_uploader('[UPLOAD] Please upload your image:', type=["png", "jpg", "jpeg"])
time.sleep(1)
except:
print("[ERROR] Sorry, something went wrong!")
pass
# print(type(image_file))
if image_file is not None:
st.success("Load image successfully!...")
image = load_image(image_file)
# print(type(image))
col1, col2, col3 = st.columns(3)
with col1:
st.image(image, caption="Image before processing")
save_path = "tempDir/"+ image_file.name
image.save(save_path)
image_path, details = save_path, image_file
if details is not None:
with col2:
with st.spinner("[PROCESSING] Image processing"):
final_img_path = main_processing(col1, col2, col3, sport_bg_path=stadium_sport_bg_path, swim_bg_path=beach_swim_bg_path,
office_bg_path=office_bg_path, img_path=image_path, name=details.name,
detection_model_path=detection_model_path,
background_model_path=background_model_path)
time.sleep(1)
with col1:
if final_img_path is not None:
final_img = load_image(final_img_path)
st.image(final_img, caption="Image after processing")
st.balloons()
with col2:
with open(final_img_path, "rb") as file:
st.write('\n')
st.write('\n')
st.write('\n')
st.write('\n')
st.write('\n')
file_name = save_path.split("/")[-1].split(".")[-2] +"_from_abc" + ".png"
if st.download_button(
label="Download postprocessing image",
data=file,
file_name= file_name,
mime="image/png"
):
st.success('[DOWNLOAD] Download sucessfully!')
if __name__ == '__main__':
np.random.seed(42)
tf.random.set_seed(42)
bg_path = ""
background_model_path = "weight_files/model.h5"
detection_model_path = "weight_files/clothes_detection_model.pt"
stadium_sport_bg_path = "backgrounds/camnou_stadium.jpg"
beach_swim_bg_path = "backgrounds/beach.jpg"
office_bg_path = "backgrounds/office-bg.jpg"
image_path = None
streamlit_app()
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