# DanBooru IMage Utility functions
# Taken from https://huggingface.co./spaces/SmilingWolf/wd-v1-4-tags

import cv2
import numpy as np
from PIL import Image
import PIL

def smart_imread(img, flag=cv2.IMREAD_UNCHANGED):
    if img.endswith(".gif"):
        img = Image.open(img)
        img = img.convert("RGB")
        img = cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR)
    else:
        img = cv2.imread(img, flag)
    return img


def smart_24bit(img):
    if img.dtype is np.dtype(np.uint16):
        img = (img / 257).astype(np.uint8)

    if len(img.shape) == 2:
        img = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
    elif img.shape[2] == 4:
        trans_mask = img[:, :, 3] == 0
        img[trans_mask] = [255, 255, 255, 255]
        img = cv2.cvtColor(img, cv2.COLOR_BGRA2BGR)
    return img


def make_square(img, target_size):
    old_size = img.shape[:2]
    desired_size = max(old_size)
    desired_size = max(desired_size, target_size)

    delta_w = desired_size - old_size[1]
    delta_h = desired_size - old_size[0]
    top, bottom = delta_h // 2, delta_h - (delta_h // 2)
    left, right = delta_w // 2, delta_w - (delta_w // 2)

    color = [255, 255, 255]
    new_im = cv2.copyMakeBorder(
        img, top, bottom, left, right, cv2.BORDER_CONSTANT, value=color
    )
    return new_im


def smart_resize(img, size):
    # Assumes the image has already gone through make_square
    if img.shape[0] > size:
        img = cv2.resize(img, (size, size), interpolation=cv2.INTER_AREA)
    elif img.shape[0] < size:
        img = cv2.resize(img, (size, size), interpolation=cv2.INTER_CUBIC)
    return img

def preprocess_image(img):
    image = img.convert('RGBA')
    new_image = PIL.Image.new('RGBA', image.size, 'WHITE')
    new_image.paste(image, mask=image)
    image = new_image.convert('RGB')
    image = np.asarray(image)

    image = make_square(image, 512)
    image = smart_resize(image, 512)
    image = image.astype(np.float32)

    return Image.fromarray(np.uint8(image))