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| from shiny import App, Inputs, Outputs, Session, reactive, render, ui | |
| from shiny.types import FileInfo, ImgData | |
| import asyncio | |
| import concurrent.futures | |
| import backend | |
| import numpy as np | |
| from PIL import Image, ImageDraw | |
| from pathlib import Path | |
| import tempfile | |
| def draw_layer_on_image(im: Image) -> Image: | |
| """Draws something on top of an image.""" | |
| # Attempting to use thresholds. | |
| threshold: int = 1 | |
| output_im = np.array(im) | |
| # return Image.fromarray(output_im) | |
| # The image drawing code. | |
| draw = ImageDraw.Draw(im) | |
| draw.line((0, 0) + im.size, fill=128, width=5) | |
| draw.line((0, im.size[1], im.size[0], 0), fill=128) | |
| return im | |
| # UI: | |
| # TITLE ELEMENT, centered | |
| # input, centered. | |
| # table in middle. Upload, displays image on the left. | |
| # arrow in the middle, mask on the right. | |
| card_height = '700px' | |
| app_ui = ui.page_fixed( | |
| ui.input_file("file1", "Upload a sidewalk.", accept=[".jpg", ".png", ".jpeg"], multiple=False), | |
| ui.layout_columns( | |
| ui.card( | |
| ui.card_header("Uploaded Image"), | |
| ui.output_image("show_image"), | |
| height=card_height | |
| ), | |
| ui.card( | |
| ui.card_header("Image Mask"), | |
| # ui.input_task_button("mask_btn", "Process mask"), | |
| ui.output_image("samwalk"), | |
| height=card_height | |
| ), | |
| ) | |
| ) | |
| def strip_alpha(image: Image) -> Image: | |
| # Create a white background | |
| background = Image.new('RGBA', image.size, (255, 255, 255, 255)) | |
| composite = Image.alpha_composite(background, image) | |
| rgb_image = composite.convert('RGB') | |
| return rgb_image | |
| def server(input: Inputs, output: Outputs, session: Session): | |
| uploaded_img = None | |
| def parsed_file(): | |
| file: list[FileInfo] | None = input.file1() | |
| if file is None: | |
| return | |
| return file[0] | |
| def show_image(): | |
| uploaded_img = parsed_file() | |
| if uploaded_img is None: | |
| return | |
| uploaded_src = uploaded_img['datapath'] | |
| img: ImgData = {"src": str(uploaded_src), "width": "500px"} | |
| return img | |
| # @reactive.event(input.mask_btn) | |
| def samwalk(): | |
| uploaded_file = parsed_file() | |
| if uploaded_file is None: | |
| return | |
| uploaded_src = uploaded_file['datapath'] | |
| uploaded_img = Image.open(uploaded_src) | |
| if uploaded_img.mode == 'RGBA': | |
| uploaded_img = strip_alpha(uploaded_img) | |
| dirpath = tempfile.mkdtemp() | |
| # output_img = async_process_image(uploaded_img) | |
| # while output_img is None: | |
| # pass | |
| # output_img = output_img.result() | |
| # # return {"src": str("waiting.gif"), "width": "500px"} | |
| output_img = backend.process_image(uploaded_img) | |
| output_path = dirpath / Path(uploaded_src) | |
| output_img.save(output_path) | |
| return {"src": str(output_path), "width": "500px"} | |
| app = App(app_ui, server) | |