背景需求

夏天块来了，想做把动物扇。

【教学类-36-08】20240612动物面具（通义万相）-A4大小2图扇子_通义万象公开课-CSDN博客文章浏览阅读845次，点赞23次，收藏7次。【教学类-36-08】20240612动物面具（通义万相）-A4大小2图扇子_通义万象公开课https://blog.csdn.net/reasonsummer/article/details/139682837?spm=1011.2415.3001.5331

从动物时钟里面选图（已经填充白色，并去白边）

【教学类-84-01】时钟动物——动物头像01（动物头像+钟表盘+活动扣+纸质指针）_动物钟表盘-CSDN博客文章浏览阅读2.1k次，点赞93次，收藏17次。【教学类-84-01】时钟动物——动物头像01（动物头像+钟表盘+活动扣+纸质指针）_动物钟表盘https://blog.csdn.net/reasonsummer/article/details/144636000?spm=1011.2415.3001.5331

描边费时，所以挑选了40张

素材内容

描边代码

'''
动物扇子2.0，头像描边 20，60，100
deepseek,阿夏
20250525
'''
from PIL import Image, ImageDraw
import os
import math# 放大和透明室共有
print('------0、基本信息-----')
# 主路径
path = r'C:\Users\jg2yXRZ\OneDrive\桌面\20250516动物面具2'
# path=r'D:\图片\20240614蛋筒彩蛋# 图片夹名称
a='00'
b='动物扇'
c='虚线描边'# 保存
all = path + fr'\{a}_10{b}合并图'# 参数设置# 1、内部花纹框
# 花纹边框颜色(（内部)
cchw = 0
# 调整蓝色区域边框宽度(像素)
blue_width = 0# 2、轮廓线
# 轮廓线黑线边框颜色（中间150,150,150）
ccn = 0
# 轮廓线的宽度
mb_border_width = 1  # 黑边宽度（像素）
w = int(mb_border_width / 2)  # 内5外5# 5、画布尺寸放大
target_width = 2000  # 统一宽度
target_height = target_width  # 统一高度
background_expand = 1000  # 白色背景放大尺寸# 6、添加中线虚线（折痕）# Parameters for center line# 中线参数
xxx = 0  # 颜色
total_line_width = 10  # 总宽度10磅
left_width = int(total_line_width) / 2  # 左边5磅
right_width = left_width  # 右边5磅
# line_width = 10  # 线条粗细
dash_length = 30  # 黑线段
gap_length = 30  # 白线段# 定义文件夹路径
in_folder = os.path.join(path, f'{a}_01{b}原图')  # 原始图片（白背景）
big_folder = os.path.join(path, f'{a}_02{b}{c}放大背景')  # 放大背景输出
transparent_folder = os.path.join(path, f'{a}_03{b}{c}透明背景')  # 透明背景输出
# output_folder = os.path.join(path, f'{a}_04{b}{c}黑边轮廓')  # 最终输出
dotput_folder = os.path.join(path, f'{a}_05{b}{c}黑边点虚线轮廓')  # 最终输出
# input_folder = output_folder  # 原始图片文件夹# 创建输出文件夹
os.makedirs(all, exist_ok=True)
# os.makedirs(output_folder,exist_ok=True)
os.makedirs(dotput_folder, exist_ok=True)
os.makedirs(big_folder, exist_ok=True)
os.makedirs(transparent_folder, exist_ok=True)rrh, ggh, bbh = cchw, cchw, cchw# print('------1、白色PNG背景放大一点-----')
# # 遍历输入文件夹中的所有PNG文件
# for filename in os.listdir(in_folder):
#     if filename.lower().endswith('.png'):
#         # 打开原始图片
#         input_path = os.path.join(in_folder, filename)
#         with Image.open(input_path) as img:
#             original_width, original_height = img.size#             # 创建新画布（长宽各+200，白色背景）
#             new_width = original_width + background_expand
#             new_height = original_height + background_expand
#             new_image = Image.new('RGB', (new_width, new_height), (255, 255, 255))#             # 计算粘贴位置（居中）
#             paste_x = (new_width - original_width) // 2
#             paste_y = (new_height - original_height) // 2#             # 将原始图片粘贴到新画布上
#             new_image.paste(img, (paste_x, paste_y), img if img.mode == 'RGBA' else None)#             # 保存结果
#             big_path = os.path.join(big_folder, filename)
#             new_image.save(big_path)# print('------2、白色PNG背景变成透明-----')
# def process_image_to_transparent(file_path):
#     img = Image.open(file_path)
#     img = img.convert("RGBA")
#     datas = img.getdata()#     new_data = []
#     for item in datas:
#         if item[0] == 255 and item[1] == 255 and item[2] == 255:
#             new_data.append((255, 255, 255, 0))
#         else:
#             new_data.append(item)#     img.putdata(new_data)
#     return img# print("正在转换白背景为透明背景...")
# for file_name in os.listdir(big_folder):
#     if file_name.lower().endswith((".png", ".jpg", ".jpeg")):
#         input_file_path = os.path.join(big_folder, file_name)
#         output_file_path = os.path.join(transparent_folder, file_name)
#         processed_image = process_image_to_transparent(input_file_path)
#         processed_image.save(output_file_path)
#         print(f"已处理: {file_name}")# 描边为20、50、80
for x in [60, 100]:cropped_folder = os.path.join(path, f'{a}_06{b}{c}切边{x}')  # 裁剪后的透明图片os.makedirs(cropped_folder, exist_ok=True)# 3、点状虚线裁剪边# 点状虚线边框颜色（外边）ccw = 150# 白色描边宽度（像素）轮廓线外层white_border_width = x# 黑点直径（像素）dot_size = 5# # 黑点间距（像素）增加间距确保均匀分布  dot_spacing = dot_size * 2# 4、裁剪时不保留额外透明边距transparent_edge = 0  # 裁剪时不保留额外透明边距# 灰线深浅测试# for cr3 in range(cchw,cchw+10,10):# 黑色边框颜色# 灰色# if x==1:#   中线（内）    rrw = ggw = bbw = ccwrrn = ggn = bbn = ccnrrh = ggh = bbh = cchwrrx = ggx = bbx = xxxprint('------3、添加点状虚线轮廓-----')def get_edge_pixels(image):"""获取图像中不透明像素与透明像素交界的边缘像素坐标"""edge_pixels = []pixels = image.load()width, height = image.sizefor y in range(height):for x in range(width):if pixels[x, y][3] > 0:  # 不透明像素# 检查4邻域for dx, dy in [(-1, 0), (1, 0), (0, -1), (0, 1)]:nx, ny = x + dx, y + dyif 0 <= nx < width and 0 <= ny < height:if pixels[nx, ny][3] == 0:  # 邻域透明edge_pixels.append((x, y))breakreturn edge_pixelsdef expand_edge_pixels(edge_pixels, distance, width, height):"""扩展边缘像素坐标到指定距离"""expanded_pixels = set()for x, y in edge_pixels:for dy in range(-distance, distance + 1):for dx in range(-distance, distance + 1):nx, ny = x + dx, y + dyif 0 <= nx < width and 0 <= ny < height:expanded_pixels.add((nx, ny))return expanded_pixelsdef get_contour_pixels(border_pixels, width, height):"""获取白边区域的外轮廓像素（使用边缘追踪算法）"""# 找到起始点（最左上角的边界像素）start_point = Nonefor y in range(height):for x in range(width):if (x, y) in border_pixels:start_point = (x, y)breakif start_point:breakif not start_point:return []# 使用Moore-Neighbor追踪算法获取轮廓contour = []current = start_pointprevious = (current[0] - 1, current[1])  # 假设从左侧开始directions = [(0, -1), (1, -1), (1, 0), (1, 1),(0, 1), (-1, 1), (-1, 0), (-1, -1)]while True:contour.append(current)# 找到下一个边界点found = Falsestart_dir = (directions.index((previous[0] - current[0], previous[1] - current[1])) + 1) % 8for i in range(8):dir_idx = (start_dir + i) % 8dx, dy = directions[dir_idx]neighbor = (current[0] + dx, current[1] + dy)if 0 <= neighbor[0] < width and 0 <= neighbor[1] < height:if neighbor in border_pixels:previous = currentcurrent = neighborfound = Truebreakif not found or current == start_point:breakreturn contourdef draw_uniform_dots(image, contour, dot_size, dot_spacing):"""在轮廓上均匀绘制黑点"""dot_layer = Image.new('RGBA', image.size, (0, 0, 0, 0))draw = ImageDraw.Draw(dot_layer)if not contour:return dot_layer# 计算轮廓总长度total_length = 0segments = []for i in range(len(contour)):p1 = contour[i]p2 = contour[(i + 1) % len(contour)]dx = p2[0] - p1[0]dy = p2[1] - p1[1]length = math.sqrt(dx * dx + dy * dy)segments.append((p1, p2, length))total_length += length# 计算需要绘制的点数num_dots = int(total_length / dot_spacing)if num_dots == 0:num_dots = 1# 均匀分布点step = total_length / num_dotscurrent_dist = 0segment_idx = 0remaining_seg = segments[0][2]for _ in range(num_dots):# 找到当前点所在线段while current_dist > remaining_seg and segment_idx < len(segments) - 1:current_dist -= remaining_segsegment_idx += 1remaining_seg = segments[segment_idx][2]p1, p2, seg_len = segments[segment_idx]ratio = current_dist / seg_lenx = p1[0] + ratio * (p2[0] - p1[0])y = p1[1] + ratio * (p2[1] - p1[1])# 绘制黑点和颜色 - 修正了ellipse坐标draw