2021-07-30 21:21:51 +08:00
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from configs.path_config import IMAGE_PATH, TTF_PATH
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from PIL import Image, ImageFile, ImageDraw, ImageFont
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from imagehash import ImageHash
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from io import BytesIO
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from matplotlib import pyplot as plt
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from typing import Tuple, Optional
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from pathlib import Path
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import cv2
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import base64
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import imagehash
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def compare_image_with_hash(
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image_file1: str, image_file2: str, max_dif: int = 1.5
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) -> bool:
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"""
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说明:
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比较两张图片的hash值是否相同
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参数:
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:param image_file1: 图片文件路径
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:param image_file2: 图片文件路径
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:param max_dif: 允许最大hash差值, 越小越精确,最小为0
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"""
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ImageFile.LOAD_TRUNCATED_IMAGES = True
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hash_1 = get_img_hash(image_file1)
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hash_2 = get_img_hash(image_file2)
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dif = hash_1 - hash_2
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if dif < 0:
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dif = -dif
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if dif <= max_dif:
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return True
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else:
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return False
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def get_img_hash(image_file: str) -> ImageHash:
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"""
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说明:
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获取图片的hash值
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参数:
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:param image_file: 图片文件路径
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"""
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with open(image_file, "rb") as fp:
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hash_value = imagehash.average_hash(Image.open(fp))
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return hash_value
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def compressed_image(in_file: str, out_file: str = None, ratio: float = 0.9):
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"""
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说明:
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压缩图片
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参数:
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:param in_file: 被压缩的文件路径
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:param out_file: 压缩后输出的文件路径
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:param ratio: 压缩率,宽高 * 压缩率
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"""
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in_file = Path(IMAGE_PATH) / in_file
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out_file = Path(IMAGE_PATH) / out_file if out_file else in_file
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h, w, d = cv2.imread(str(in_file.absolute())).shape
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img = cv2.resize(cv2.imread(str(in_file.absolute())), (int(w * ratio), int(h * ratio)))
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cv2.imwrite(str(out_file.absolute()), img)
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def alpha2white_PIL(pic: Image) -> Image:
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"""
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说明:
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将图片透明背景转化为白色
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参数:
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:param pic: 通过PIL打开的图片文件
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"""
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img = pic.convert("RGBA")
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width, height = img.size
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for yh in range(height):
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for xw in range(width):
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dot = (xw, yh)
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color_d = img.getpixel(dot)
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if color_d[3] == 0:
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color_d = (255, 255, 255, 255)
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img.putpixel(dot, color_d)
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return img
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def pic2b64(pic: Image) -> str:
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"""
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说明:
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PIL图片转base64
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参数:
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:param pic: 通过PIL打开的图片文件
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"""
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buf = BytesIO()
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pic.save(buf, format="PNG")
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base64_str = base64.b64encode(buf.getvalue()).decode()
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return "base64://" + base64_str
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def fig2b64(plt_: plt) -> str:
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"""
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说明:
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matplotlib图片转base64
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参数:
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:param plt_: matplotlib生成的图片
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"""
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buf = BytesIO()
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plt_.savefig(buf, format="PNG", dpi=100)
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base64_str = base64.b64encode(buf.getvalue()).decode()
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return "base64://" + base64_str
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def is_valid(file: str) -> bool:
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"""
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说明:
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判断图片是否损坏
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参数:
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:param file: 图片文件路径
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"""
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valid = True
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try:
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Image.open(file).load()
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except OSError:
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valid = False
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return valid
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class CreateImg:
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"""
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快捷生成图片与操作图片的工具类
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"""
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def __init__(
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self,
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w,
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h,
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paste_image_width=0,
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paste_image_height=0,
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color="white",
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image_type="RGBA",
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font_size=10,
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background="",
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ttf="yz.ttf",
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ratio=1,
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):
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"""
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参数:
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:param w: 自定义图片的宽度,w=0时为图片原本宽度
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:param h: 自定义图片的高度,h=0时为图片原本高度
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:param paste_image_width: 当图片做为背景图时,设置贴图的宽度,用于贴图自动换行
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:param paste_image_height: 当图片做为背景图时,设置贴图的高度,用于贴图自动换行
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:param color: 生成图片的颜色
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:param image_type: 图片的类型
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:param font_size: 文字大小
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:param background: 打开图片的路径
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:param ttf: 字体,默认在 resource/ttf/ 路径下
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:param ratio: 倍率压缩
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"""
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self.w = int(w)
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self.h = int(h)
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self.paste_image_width = int(paste_image_width)
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self.paste_image_height = int(paste_image_height)
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self.current_w = 0
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self.current_h = 0
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self.ttfont = ImageFont.truetype(TTF_PATH + ttf, int(font_size))
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if not background:
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self.markImg = Image.new(image_type, (self.w, self.h), color)
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else:
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if not w and not h:
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self.markImg = Image.open(background)
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w, h = self.markImg.size
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if ratio and ratio > 0 and ratio != 1:
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self.w = int(ratio * w)
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self.h = int(ratio * h)
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self.markImg = self.markImg.resize(
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(self.w, self.h), Image.ANTIALIAS
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)
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else:
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self.w = w
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self.h = h
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else:
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self.markImg = Image.open(background).resize(
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(self.w, self.h), Image.ANTIALIAS
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)
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self.draw = ImageDraw.Draw(self.markImg)
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self.size = self.w, self.h
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def paste(
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self,
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img: "CreateImg" or Image,
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pos: Tuple[int, int] = None,
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alpha: bool = False,
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):
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"""
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说明:
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贴图
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参数:
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:param img: 已打开的图片文件,可以为 CreateImg 或 Image
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:param pos: 贴图位置(左上角)
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:param alpha: 图片背景是否为透明
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"""
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if isinstance(img, CreateImg):
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img = img.markImg
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if self.current_w == self.w:
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self.current_w = 0
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self.current_h += self.paste_image_height
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if not pos:
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pos = (self.current_w, self.current_h)
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if alpha:
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try:
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self.markImg.paste(img, pos, img)
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except ValueError:
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img = img.convert("RGBA")
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self.markImg.paste(img, pos, img)
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else:
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self.markImg.paste(img, pos)
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self.current_w += self.paste_image_width
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def getsize(self, msg: str) -> Tuple[int, int]:
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"""
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说明:
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获取文字在该图片 font_size 下所需要的空间
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参数:
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:param msg: 文字内容
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"""
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return self.ttfont.getsize(msg)
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def text(
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self, pos: Tuple[int, int], text: str, fill: Tuple[int, int, int] = (0, 0, 0)
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):
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"""
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说明:
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在图片上添加文字
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参数:
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:param pos: 文字位置
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:param text: 文字内容
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:param fill: 文字颜色
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"""
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self.draw.text(pos, text, fill=fill, font=self.ttfont)
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def save(self, path: str):
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"""
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说明:
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保存图片
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参数:
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:param path: 图片路径
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"""
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self.markImg.save(path)
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def show(self):
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"""
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说明:
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显示图片
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"""
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self.markImg.show(self.markImg)
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def resize(self, ratio: float = 0, w: int = 0, h: int = 0):
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"""
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说明:
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压缩图片
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参数:
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:param ratio: 压缩倍率
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:param w: 压缩图片宽度至 w
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:param h: 压缩图片高度至 h
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"""
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if not w and not h and not ratio:
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raise Exception("缺少参数...")
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if not w and not h and ratio:
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w = int(self.w * ratio)
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h = int(self.h * ratio)
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self.markImg = self.markImg.resize((w, h), Image.ANTIALIAS)
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self.w, self.h = self.markImg.size
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self.size = self.w, self.h
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self.draw = ImageDraw.Draw(self.markImg)
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def crop(self, box: Tuple[int, int, int, int]):
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"""
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说明:
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裁剪图片
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参数:
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:param box: 左上角坐标,右下角坐标 (left, upper, right, lower)
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"""
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self.markImg = self.markImg.crop(box)
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self.w, self.h = self.markImg.size
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self.size = self.w, self.h
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self.draw = ImageDraw.Draw(self.markImg)
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def check_font_size(self, word: str) -> bool:
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"""
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说明:
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检查文本所需宽度是否大于图片宽度
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2021-08-04 15:19:45 +08:00
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参数:
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:param word: 文本内容
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2021-07-30 21:21:51 +08:00
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"""
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return self.ttfont.getsize(word)[0] > self.w
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def transparent(self, n: int = 0):
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"""
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说明:
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图片透明化
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参数:
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:param n: 透明化大小内边距
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"""
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self.markImg = self.markImg.convert("RGBA")
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x, y = self.markImg.size
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for i in range(n, x - n):
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for k in range(n, y - n):
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color = self.markImg.getpixel((i, k))
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color = color[:-1] + (100,)
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self.markImg.putpixel((i, k), color)
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def pic2bs4(self) -> str:
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"""
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说明:
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CreateImg 转 base64
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"""
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buf = BytesIO()
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self.markImg.save(buf, format="PNG")
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base64_str = base64.b64encode(buf.getvalue()).decode()
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return base64_str
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def convert(self, type_: str):
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"""
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说明:
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修改图片类型
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参数:
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:param type_: 类型
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"""
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self.markImg = self.markImg.convert(type_)
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def rectangle(
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self,
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xy: Tuple[int, int, int, int],
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fill: Optional[Tuple[int, int, int]] = None,
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outline: str = None,
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width: int = 1,
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):
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"""
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说明:
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画框
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参数:
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:param xy: 坐标
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:param fill: 填充颜色
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:param outline: 轮廓颜色
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:param width: 线宽
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"""
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self.draw.rectangle(xy, fill, outline, width)
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def line(
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self,
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xy: Tuple[int, int, int, int],
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fill: Optional[Tuple[int, int, int]] = None,
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width: int = 1,
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):
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"""
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说明:
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画线
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参数:
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:param xy: 坐标
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:param fill: 填充
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:param width: 线宽
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"""
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self.draw.line(xy, fill, width)
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def circle(self):
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"""
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说明:
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将 CreateImg 图片变为圆形
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"""
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self.convert("RGBA")
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r2 = min(self.w, self.h)
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if self.w != self.h:
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self.resize(w=r2, h=r2)
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r3 = int(r2 / 2)
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imb = Image.new("RGBA", (r3 * 2, r3 * 2), (255, 255, 255, 0))
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pim_a = self.markImg.load() # 像素的访问对象
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pim_b = imb.load()
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r = float(r2 / 2)
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for i in range(r2):
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for j in range(r2):
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lx = abs(i - r) # 到圆心距离的横坐标
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ly = abs(j - r) # 到圆心距离的纵坐标
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l = (pow(lx, 2) + pow(ly, 2)) ** 0.5 # 三角函数 半径
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if l < r3:
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pim_b[i - (r - r3), j - (r - r3)] = pim_a[i, j]
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self.markImg = imb
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#
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def getchannel(self, itype):
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self.markImg = self.markImg.getchannel(itype)
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if __name__ == "__main__":
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pass
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