| import PIL | |
| import numpy as np | |
| from PIL import Image, ImageColor, ImageDraw | |
| from PIL.Image import Image as PILImage | |
| from pymatting.alpha.estimate_alpha_cf import estimate_alpha_cf | |
| from pymatting.foreground.estimate_foreground_ml import estimate_foreground_ml | |
| from pymatting.util.util import stack_images | |
| from rembg.bg import post_process, naive_cutout, apply_background_color | |
| from scipy.ndimage import binary_erosion | |
| def alpha_matting_cutout(img: PILImage, trimap: np.ndarray) -> PILImage: | |
| if img.mode == "RGBA" or img.mode == "CMYK": | |
| img = img.convert("RGB") | |
| img = np.asarray(img) | |
| img_normalized = img / 255.0 | |
| trimap_normalized = trimap / 255.0 | |
| alpha = estimate_alpha_cf(img_normalized, trimap_normalized) | |
| foreground = estimate_foreground_ml(img_normalized, alpha) | |
| cutout = stack_images(foreground, alpha) | |
| cutout = np.clip(cutout * 255, 0, 255).astype(np.uint8) | |
| return Image.fromarray(cutout) | |
| def generate_trimap( | |
| mask: PILImage, | |
| foreground_threshold: int, | |
| background_threshold: int, | |
| erode_structure_size: int, | |
| ) -> np.ndarray: | |
| mask = np.asarray(mask) | |
| is_foreground = mask > foreground_threshold | |
| is_background = mask < background_threshold | |
| structure = None | |
| if erode_structure_size > 0: | |
| structure = np.ones( | |
| (erode_structure_size, erode_structure_size), dtype=np.uint8 | |
| ) | |
| is_foreground = binary_erosion(is_foreground, structure=structure) | |
| is_background = binary_erosion(is_background, structure=structure, border_value=1) | |
| trimap = np.full(mask.shape, dtype=np.uint8, fill_value=128) | |
| trimap[is_foreground] = 255 | |
| trimap[is_background] = 0 | |
| return trimap | |
| def get_background_dominant_color(img: PILImage, mask: PILImage) -> tuple: | |
| negative_img = img.copy() | |
| negative_mask = PIL.ImageOps.invert(mask) | |
| negative_img.putalpha(negative_mask) | |
| negative_img = negative_img.resize((1, 1)) | |
| r, g, b, a = negative_img.getpixel((0, 0)) | |
| return r, g, b, 255 | |
| def remove(session, img: PILImage, smoot: bool, matting: tuple, color) -> (PILImage, PILImage): | |
| mask = session.predict(img)[0] | |
| if smoot: | |
| mask = PIL.Image.fromarray(post_process(np.array(mask))) | |
| fg_t, bg_t, erode = matting | |
| if fg_t > 0 or bg_t > 0 or erode > 0: | |
| mask = generate_trimap(mask, *matting) | |
| try: | |
| cutout = alpha_matting_cutout(img, mask) | |
| mask = PIL.Image.fromarray(mask) | |
| except ValueError as err: | |
| raise err | |
| else: | |
| cutout = naive_cutout(img, mask) | |
| if color is True: | |
| color = get_background_dominant_color(img, mask) | |
| cutout = apply_background_color(cutout, color) | |
| elif isinstance(color, str): | |
| r, g, b = ImageColor.getcolor(color, "RGB") | |
| cutout = apply_background_color(cutout, (r, g, b, 255)) | |
| return cutout, mask | |
| def make_label(text, width=600, height=200, color="black") -> PILImage: | |
| image = Image.new("RGB", (width, height), color) | |
| draw = ImageDraw.Draw(image) | |
| text_width, text_height = draw.textsize(text) | |
| draw.text(((width-text_width)/2, height/2), text) | |
| return image | |