import numpy as np
import cv2
import os


annotator_ckpts_path = os.path.join(os.path.dirname(__file__), 'ckpts')


def HWC3(x):
 assert x.dtype == np.uint8
 if x.ndim == 2:
 x = x[:, :, None]
 assert x.ndim == 3
 H, W, C = x.shape
 assert C == 1 or C == 3 or C == 4
 if C == 3:
 return x
 if C == 1:
 return np.concatenate([x, x, x], axis=2)
 if C == 4:
 color = x[:, :, 0:3].astype(np.float32)
 alpha = x[:, :, 3:4].astype(np.float32) / 255.0
 y = color * alpha + 255.0 * (1.0 - alpha)
 y = y.clip(0, 255).astype(np.uint8)
 return y


def resize_image(input_image, resolution):
 H, W, C = input_image.shape
 H = float(H)
 W = float(W)
 k = float(resolution) / min(H, W)
 H *= k
 W *= k
 H = int(np.round(H / 64.0)) * 64
 W = int(np.round(W / 64.0)) * 64
 img = cv2.resize(input_image, (W, H), interpolation=cv2.INTER_LANCZOS4 if k > 1 else cv2.INTER_AREA)
 return img