import random

import numpy as np
import torch
from PIL import Image


def cvtColor(image):
    if len(np.shape(image)) == 3 and np.shape(image)[2] == 3:
        return image
    else:
        image = image.convert('RGB')
        return image



def resize_image(image, size, letterbox_image):
    iw, ih = image.size
    w, h = size
    if letterbox_image:
        scale = min(w / iw, h / ih)
        nw = int(iw * scale)
        nh = int(ih * scale)

        image = image.resize((nw, nh), Image.BICUBIC)
        new_image = Image.new('RGB', size, (128, 128, 128))
        new_image.paste(image, ((w - nw) // 2, (h - nh) // 2))
    else:
        new_image = image.resize((w, h), Image.BICUBIC)
    return new_image


def get_classes(classes_path):
    with open(classes_path, encoding='utf-8') as f:
        class_names = f.readlines()
    class_names = [c.strip() for c in class_names]
    return class_names, len(class_names)


def get_anchors(anchors_path):
    '''loads the anchors from a file'''
    with open(anchors_path, encoding='utf-8') as f:
        anchors = f.readline()
    anchors = [float(x) for x in anchors.split(',')]
    anchors = np.array(anchors).reshape(-1, 2)
    return anchors, len(anchors)


def get_lr(optimizer):
    for param_group in optimizer.param_groups:
        return param_group['lr']


def seed_everything(seed=11):
    random.seed(seed)
    np.random.seed(seed)
    torch.manual_seed(seed)
    torch.cuda.manual_seed(seed)
    torch.cuda.manual_seed_all(seed)
    torch.backends.cudnn.deterministic = True
    torch.backends.cudnn.benchmark = False


def worker_init_fn(worker_id, rank, seed):
    worker_seed = rank + seed
    random.seed(worker_seed)
    np.random.seed(worker_seed)
    torch.manual_seed(worker_seed)


def preprocess_input(image):
    image /= 255.0
    return image


def show_config(**kwargs):
    print('Configurations:')
    print('-' * 70)
    print('|%25s | %40s|' % ('keys', 'values'))
    print('-' * 70)
    for key, value in kwargs.items():
        print('|%25s | %40s|' % (str(key), str(value)))
    print('-' * 70)