251 lines
8.1 KiB
Python
251 lines
8.1 KiB
Python
# -*- coding: utf-8 -*-
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"""
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生成图片模块
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"""
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# 列举导入模块
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import cv2
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import numpy
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from pathlib import Path
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import random
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from typing import List, Dict, Optional, Union, Literal, Tuple
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from uuid import uuid4
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class Canvas:
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"""
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画布，用于绘制图片
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"""
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def __init__(
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self,
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materials_folder_path: str = r"E:\jianying\materials\纯图",
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canvas_height: int = 1920,
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canvas_width: int = 1080,
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):
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"""
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初始化
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:param materials_folder_path: 所有素材文件夹的根目录路径
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:param canvas_height: 画布高度
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:param canvas_width: 画布宽度
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"""
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# 构建所有素材文件夹的根目录路径
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# self.materials_folder_path = Path(materials_folder_path)
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self.materials_folder_path = Path(
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"/Users/liubiren/Python/短视频合成自动化/纯图"
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)
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self.canvas_height, self.canvas_width = canvas_height, canvas_width
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# 创建画布（默认尺寸为 1920x1080，底色为白色）
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self.canvas = (
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numpy.ones((self.canvas_height, self.canvas_width, 4), dtype=numpy.uint8)
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* 255
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)
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def _get_materials_paths(self, folder_name: str) -> List[Path]:
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"""
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根据素材文件夹名称获取该文件夹内所有素材路径列表
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:return: 该文件夹内所有素材路径列表
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"""
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# 构建指定素材文件路径
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folder_path = self.materials_folder_path / folder_name
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if not (folder_path.exists() and folder_path.is_dir()):
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raise RuntimeError(f"{folder_name} 素材文件夹不存在")
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# 获取该文件夹内所有素材路径列表
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material_paths = list(folder_path.rglob(pattern="*.png"))
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if not material_paths:
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raise RuntimeError(f"{folder_name} 素材文件夹为空")
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return material_paths
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def _read_material(
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self,
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material_path: Path,
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) -> numpy.ndarray:
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"""
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读取素材
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:param material_path: 素素材文件路径
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:return: 素材 OpenCV 数据
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"""
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with open(file=material_path, mode="rb") as file:
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material_buf = numpy.frombuffer(
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buffer=file.read(), dtype=numpy.uint8
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) # 二进制数据
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# 解码为图像 OpenCV 数据
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material = cv2.imdecode(buf=material_buf, flags=cv2.IMREAD_UNCHANGED)
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if material is None:
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raise RuntimeError(f"读取素材失败")
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return material
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def _resize_material(
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self,
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material: numpy.ndarray,
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scale: Union[Literal["fixed_width"], float] = 1.0,
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) -> numpy.ndarray:
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"""
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缩放素材
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:param material: 素材 OpenCV 数据
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:param scale: 缩放比例
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:return: 缩放后素材 OpenCV 数据
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"""
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# 获取素材高度和宽度
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material_height, material_width = material.shape[:2]
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match scale:
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case "fixed_width":
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material_height, material_width = (
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int(material_height * self.canvas_width / material_width),
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self.canvas_width,
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)
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case _:
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material_height, material_width = int(material_height * scale), int(
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material_width * scale
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)
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return cv2.resize(
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src=material,
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dsize=(material_width, material_height),
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interpolation=cv2.INTER_LINEAR,
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)
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def _paste_material(
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self,
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material: numpy.ndarray,
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position: Union[str, Tuple[Optional[int], Optional[int]]] = "center",
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) -> None:
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"""
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粘贴素材
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:param material: 素材 OpenCV 数据
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:param position: 粘贴位置
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:return: None
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"""
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# 获取素材高度和宽度
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material_height, material_width = material.shape[:2]
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# 计算素材在画布原点坐标
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x = (self.canvas_width - material_width) // 2 # 水平方向坐标
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y = (self.canvas_height - material_height) // 2 # 垂直方向坐标
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match position:
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case "center": # 居中
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pass
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case _:
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if position[0] is not None:
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x = position[0] - material_width // 2
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if position[1] is not None:
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y = position[1] - material_height // 2
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# 计算素材左上角坐标
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x1, y1 = max(x, 0), max(y, 0)
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# 计算素材右下角坐标
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x2, y2 = min(x + material_width, self.canvas_width), min(
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y + material_height, self.canvas_height
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)
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# 截取素材有效区域
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material = material[y1 - y : y2 - y, x1 - x : x2 - x]
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# 取出画布对应区域
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area = self.canvas[y1:y2, x1:x2]
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# 透明度计算
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alpha_fg = material[..., 3] / 255.0
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alpha_bg = area[..., 3] / 255.0
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# 颜色混合
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for c in range(3):
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area[..., c] = (
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material[..., c] * alpha_fg + area[..., c] * alpha_bg * (1 - alpha_fg)
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).astype(numpy.uint8)
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# 新透明度
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area[..., 3] = ((alpha_fg + alpha_bg * (1 - alpha_fg)) * 255).astype(
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numpy.uint8
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)
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# 写回画布
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self.canvas[y1:y2, x1:x2] = area
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def _save(self) -> None:
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"""
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保存图片
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:return: None
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"""
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# 构建图片路径
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image_path = self.materials_folder_path / "成品" / f"{uuid4().hex.upper()}.jpg"
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# 编码为二进制数据
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success, image_encoded = cv2.imencode(
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".jpg", img=self.canvas, params=[cv2.IMWRITE_JPEG_QUALITY, 95]
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)
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if success:
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with open(file=(Path(__file__).parent / image_path), mode="wb") as file:
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file.write(image_encoded.tobytes())
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print("✅ 图片保存成功！")
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else:
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print("❌ 图片编码失败！")
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def draw(self, folder_names: List[str], counts: int) -> None:
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"""
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绘制图片
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:param folder_names: 绘制所用素材文件夹名称列表
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:param counts: 绘制图片数量
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:return: None
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"""
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materials_paths = {} # 绘制所用素材文件夹名称和其素材路径列表
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for folder_name in folder_names:
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materials_paths.update(
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{folder_name: self._get_materials_paths(folder_name)}
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)
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current_count = 0 # 当前绘制图片数量计数
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while current_count < counts:
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self.canvas = (
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numpy.ones(
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(self.canvas_height, self.canvas_width, 4), dtype=numpy.uint8
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)
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* 255
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)
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# 竖纹素材
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vertical_strip = self._read_material(
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material_path=random.choice(materials_paths["竖纹"])
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)
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# 等宽缩放竖纹素材
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vertical_strip = self._resize_material(
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material=vertical_strip, scale="fixed_width"
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)
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# 粘贴竖纹素材到画布
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self._paste_material(material=vertical_strip)
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# 按钮素材
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button = self._read_material(
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material_path=random.choice(materials_paths["按钮"])
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)
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# 粘贴按钮素材到画布
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self._paste_material(material=button)
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# 箭头素材
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arrow = self._read_material(
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material_path=random.choice(materials_paths["箭头"])
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)
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# 粘贴箭头素材到画布
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self._paste_material(material=arrow, position=(None, 1280))
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# 声明素材
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declaration = self._read_material(
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material_path=random.choice(materials_paths["声明"])
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)
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# 粘贴声明素材到画布
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self._paste_material(material=declaration, position=(None, 1640))
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# 保存图片
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self._save()
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current_count += 1
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canvas = Canvas()
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canvas.draw(
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folder_names=["竖纹", "按钮", "箭头", "声明"],
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counts=500,
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)
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