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


def read_image_bgr(path):
    """ Read an image in BGR format.
    Args
        path: Path to the image.
    """
    if isinstance(path, str):
        image = np.ascontiguousarray(Image.open(path).convert("RGB"))
    else:
        path = cv2.cvtColor(path, cv2.COLOR_BGR2RGB)
        image = np.ascontiguousarray(Image.fromarray(path))

    return image[:, :, ::-1]


def _preprocess_image(x, mode="caffe"):
    x = x.astype(np.float32)

    if mode == "tf":
        x /= 127.5
        x -= 1.0
    elif mode == "caffe":
        x -= [103.939, 116.779, 123.68]

    return x


def compute_resize_scale(image_shape, min_side=800, max_side=1333):
    (rows, cols, _) = image_shape

    smallest_side = min(rows, cols)

    scale = min_side / smallest_side

    largest_side = max(rows, cols)
    if largest_side * scale > max_side:
        scale = max_side / largest_side

    return scale


def resize_image(img, min_side=800, max_side=1333):
    scale = compute_resize_scale(img.shape, min_side=min_side, max_side=max_side)

    img = cv2.resize(img, None, fx=scale, fy=scale)

    return img, scale


def preprocess_image(
    image_path, min_side=800, max_side=1333,
):
    image = read_image_bgr(image_path)
    image = _preprocess_image(image)
    image, scale = resize_image(image, min_side=min_side, max_side=max_side)
    return image, scale