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"""
@author: cuny
@fileName: utils.py
@create_time: 2021/12/29 下午1:29
@introduce:
焕影服务的一些工具函数,涉及两类:
1. 开发debug时候的工具函数
2. 初始化COS配置时的工具函数
"""
import cv2
from .error import WrongImageType
import numpy as np
class Debug(object):
color_dir:dict = {
"red":"31m",
"green":"32m",
"yellow":"33m",
"blue":"34m",
"common":"38m"
} # 颜色值
__DEBUG:bool = True
@property
def debug(self):
return self.__DEBUG
@debug.setter
def debug(self, value):
if not isinstance(value, bool):
raise TypeError("你必须设定debug的值为bool的True或者False")
print(f"设置debug为: {value}")
self.__DEBUG = value
def debug_print(self, text, **kwargs):
if self.debug is True:
key = self.color_dir["common"] if "font_color" not in kwargs else self.color_dir[kwargs["font_color"]]
print(f"\033[{key}{text}\033[0m")
@staticmethod
def resize_image_esp(input_image, esp=2000):
"""
输入：
input_path：numpy图片
esp：限制的最大边长
"""
# resize函数=>可以让原图压缩到最大边为esp的尺寸(不改变比例)
width = input_image.shape[0]
length = input_image.shape[1]
max_num = max(width, length)
if max_num > esp:
print("Image resizing...")
if width == max_num:
length = int((esp / width) * length)
width = esp
else:
width = int((esp / length) * width)
length = esp
print(length, width)
im_resize = cv2.resize(input_image, (length, width), interpolation=cv2.INTER_AREA)
return im_resize
else:
return input_image
def cv_show(self, *args, **kwargs):
def check_images(img):
# 判断是否是矩阵类型
if not isinstance(img, np.ndarray):
raise WrongImageType("输入的图像必须是 np.ndarray 类型!")
if self.debug is True:
size = 500 if "size" not in kwargs else kwargs["size"] # 默认缩放尺寸为最大边500像素点
if len(args) == 0:
raise ProcessError("你必须传入若干图像信息!")
flag = False
base = None
for image in args:
check_images(image)
if flag is False:
image = self.resize_image_esp(image, size)
h, w = image.shape[0], image.shape[1]
flag = (w, h)
base = image
else:
image = cv2.resize(image, flag)
base = np.hstack((base, image))
title = "cv_show" if "winname" not in kwargs else kwargs["winname"]
cv2.imshow(title, base)
cv2.waitKey(0)
else:
pass
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