python程序代码：heart.py
from math import cos, piimport numpy as npimport cv2import os, globclass HeartSignal:def __init__(self, curve="heart", title="Love U", frame_num=20, seed_points_num=2000, seed_num=None, highlight_rate=0.3, background_img_dir="", set_bg_imgs=False, bg_img_scale=0.2, bg_weight=0.3, curve_weight=0.7, frame_width=1080, frame_height=960, scale=10.1, base_color=None, highlight_points_color_1=None, highlight_points_color_2=None, wait=100, n_star=5, m_star=2):super().__init__()self.curve = curveself.title = titleself.highlight_points_color_2 = highlight_points_color_2self.highlight_points_color_1 = highlight_points_color_1self.highlight_rate = highlight_rateself.base_color = base_colorself.n_star = n_starself.m_star = m_starself.curve_weight = curve_weightimg_paths = glob.glob(background_img_dir + "/*")self.bg_imgs = []self.set_bg_imgs = set_bg_imgsself.bg_weight = bg_weightif os.path.exists(background_img_dir) and len(img_paths) > 0 and set_bg_imgs:for img_path in img_paths:img = cv2.imread(img_path)self.bg_imgs.append(img)first_bg = self.bg_imgs[0]width = int(first_bg.shape[1] * bg_img_scale)height = int(first_bg.shape[0] * bg_img_scale)first_bg = cv2.resize(first_bg, (width, height), interpolation=cv2.INTER_AREA)# 对齐图片，自动裁切中间new_bg_imgs = [first_bg, ]for img in self.bg_imgs[1:]:width_close = abs(first_bg.shape[1] - img.shape[1]) first_bg.shape[0]:crop_num = img.shape[0] - first_bg.shape[0]crop_top = crop_num // 2crop_bottom = crop_num - crop_topimg = np.delete(img, range(crop_top), axis=0)img = np.delete(img, range(img.shape[0] - crop_bottom, img.shape[0]), axis=0)elif img.shape[0] first_bg.shape[1]:crop_num = img.shape[1] - first_bg.shape[1]crop_top = crop_num // 2crop_bottom = crop_num - crop_topimg = np.delete(img, range(crop_top), axis=1)img = np.delete(img, range(img.shape[1] - crop_bottom, img.shape[1]), axis=1)elif img.shape[1] < first_bg.shape[1]:fill_num = first_bg.shape[1] - img.shape[1]fill_top = fill_num // 2fill_bottom = fill_num - fill_topimg = np.concatenate([np.zeros([fill_top, width, 3]), img, np.zeros([fill_bottom, width, 3])], axis=1)new_bg_imgs.append(img)self.bg_imgs = new_bg_imgsassert all(img.shape[0] == first_bg.shape[0] and img.shape[1] == first_bg.shape[1] for img in self.bg_imgs), "背景图片宽和高不一致"self.frame_width = self.bg_imgs[0].shape[1]self.frame_height = self.bg_imgs[0].shape[0]else:self.frame_width = frame_width# 窗口宽度self.frame_height = frame_height# 窗口高度self.center_x = self.frame_width / 2self.center_y = self.frame_height / 2self.main_curve_width = -1self.main_curve_height = -1self.frame_points = []# 每帧动态点坐标self.frame_num = frame_num# 帧数self.seed_num = seed_num# 伪随机种子，设置以后除光晕外粒子相对位置不动（减少内部闪烁感）self.seed_points_num = seed_points_num# 主图粒子数self.scale = scale# 缩放比例self.wait = waitdef curve_function(self, curve):curve_dict = {"heart": self.heart_function,"butterfly": self.butterfly_function,"star": self.star_function,}return curve_dict[curve]def heart_function(self, t, frame_idx=0, scale=5.20):"""图形方程:param frame_idx: 帧的索引，根据帧数变换心形:param scale: 放大比例:param t: 参数:return: 坐标"""trans = 3 - (1 + self.periodic_func(frame_idx, self.frame_num)) * 0.5# 改变心形饱满度度的参数x = 15 * (np.sin(t) ** 3)t = np.where((pi < t) & (t 0部分的图形到3、4象限y = -(14 * np.cos(t) - 4 * np.cos(2 * t) - 2 * np.cos(3 * t) - np.cos(trans * t))ign_area = 0.15center_ids = np.where((x > -ign_area) & (x 0.32:x, y = np.delete(x, center_ids), np.delete(y, center_ids)# 删除稠密部分的扩散，为了美观# 放大x *= scaley *= scale# 移到画布中央x += self.center_xy += self.center_y# 原心形方程# x = 15 * (sin(t) ** 3)# y = -(14 * cos(t) - 4 * cos(2 * t) - 2 * cos(3 * t) - cos(3 * t))return x.astype(int), y.astype(int)def butterfly_function(self, t, frame_idx=0, scale=5.2):"""图形函数:param frame_idx::param scale: 放大比例:param t: 参数:return: 坐标"""# 基础函数# t = t * pip = np.exp(np.sin(t)) - 2.5 * np.cos(4 * t) + np.sin(t) ** 5x = 5 * p * np.cos(t)y = - 5 * p * np.sin(t)# 放大x *= scaley *= scale# 移到画布中央x += self.center_xy += self.center_yreturn x.astype(int), y.astype(int)def star_function(self, t, frame_idx=0, scale=5.2):n = self.n_star / self.m_starp = np.cos(pi / n) / np.cos(pi / n - (t % (2 * pi / n)))x = 15 * p * np.cos(t)y = 15 * p * np.sin(t)# 放大x *= scaley *= scale# 移到画布中央x += self.center_xy += self.center_yreturn x.astype(int), y.astype(int)def shrink(self, x, y, ratio, offset=1, p=0.5, dist_func="uniform"):"""带随机位移的抖动:param x: 原x:param y: 原y:param ratio: 缩放比例:param p::param offset::return: 转换后的x,y坐标"""x_ = (x - self.center_x)y_ = (y - self.center_y)force = 1 / ((x_ ** 2 + y_ ** 2) ** p + 1e-30)dx = ratio * force * x_dy = ratio * force * y_def d_offset(x):if dist_func == "uniform":return x + np.random.uniform(-offset, offset, size=x.shape)elif dist_func == "norm":return x + offset * np.random.normal(0, 1, size=x.shape)dx, dy = d_offset(dx), d_offset(dy)return x - dx, y - dydef scatter(self, x, y, alpha=0.75, beta=0.15):"""随机内部扩散的坐标变换:param alpha: 扩散因子 - 松散:param x: 原x:param y: 原y:param beta: 扩散因子 - 距离:return: x,y 新坐标"""ratio_x = - beta * np.log(np.random.random(x.shape) * alpha)ratio_y = - beta * np.log(np.random.random(y.shape) * alpha)dx = ratio_x * (x - self.center_x)dy = ratio_y * (y - self.center_y)return x - dx, y - dydef periodic_func(self, x, x_num):"""跳动周期曲线:param p: 参数:return: y"""# 可以尝试换其他的动态函数，达到更有力量的效果（贝塞尔？）def ori_func(t):return cos(t)func_period = 2 * pireturn ori_func(x / x_num * func_period)def gen_points(self, points_num, frame_idx, shape_func):# 用周期函数计算得到一个因子，用到所有组成部件上，使得各个部分的变化周期一致cy = self.periodic_func(frame_idx, self.frame_num)ratio = 10 * cy# 图形period = 2 * pi * self.m_star if self.curve == "star" else 2 * piseed_points = np.linspace(0, period, points_num)seed_x, seed_y = shape_func(seed_points, frame_idx, scale=self.scale)x, y = self.shrink(seed_x, seed_y, ratio, offset=2)curve_width, curve_height = int(x.max() - x.min()), int(y.max() - y.min())self.main_curve_width = max(self.main_curve_width, curve_width)self.main_curve_height = max(self.main_curve_height, curve_height)point_size = np.random.choice([1, 2], x.shape, replace=True, p=[0.5, 0.5])tag = np.ones_like(x)def delete_points(x_, y_, ign_area, ign_prop):ign_area = ign_areacenter_ids = np.where((x_ > self.center_x - ign_area) & (x_ < self.center_x + ign_area))center_ids = center_ids[0]np.random.shuffle(center_ids)del_num = round(len(center_ids) * ign_prop)del_ids = center_ids[:del_num]x_, y_ = np.delete(x_, del_ids), np.delete(y_, del_ids)# 删除稠密部分的扩散，为了美观return x_, y_# 多层次扩散for idx, beta in enumerate(np.linspace(0.05, 0.2, 6)):alpha = 1 - betax_, y_ = self.scatter(seed_x, seed_y, alpha, beta)x_, y_ = self.shrink(x_, y_, ratio, offset=round(beta * 15))x = np.concatenate((x, x_), 0)y = np.concatenate((y, y_), 0)p_size = np.random.choice([1, 2], x_.shape, replace=True, p=[0.55 + beta, 0.45 - beta])point_size = np.concatenate((point_size, p_size), 0)tag_ = np.ones_like(x_) * 2tag = np.concatenate((tag, tag_), 0)# 光晕halo_ratio = int(7 + 2 * abs(cy))# 收缩比例随周期变化# 基础光晕x_, y_ = shape_func(seed_points, frame_idx, scale=self.scale + 0.9)x_1, y_1 = self.shrink(x_, y_, halo_ratio, offset=18, dist_func="uniform")x_1, y_1 = delete_points(x_1, y_1, 20, 0.5)x = np.concatenate((x, x_1), 0)y = np.concatenate((y, y_1), 0)# 炸裂感光晕halo_number = int(points_num * 0.6 + points_num * abs(cy))# 光晕点数也周期变化seed_points = np.random.uniform(0, 2 * pi, halo_number)x_, y_ = shape_func(seed_points, frame_idx, scale=self.scale + 0.9)x_2, y_2 = self.shrink(x_, y_, halo_ratio, offset=int(6 + 15 * abs(cy)), dist_func="norm")x_2, y_2 = delete_points(x_2, y_2, 20, 0.5)x = np.concatenate((x, x_2), 0)y = np.concatenate((y, y_2), 0)# 膨胀光晕x_3, y_3 = shape_func(np.linspace(0, 2 * pi, int(points_num * .4)), frame_idx, scale=self.scale + 0.2)x_3, y_3 = self.shrink(x_3, y_3, ratio * 2, offset=6)x = np.concatenate((x, x_3), 0)y = np.concatenate((y, y_3), 0)halo_len = x_1.shape[0] + x_2.shape[0] + x_3.shape[0]p_size = np.random.choice([1, 2, 3], halo_len, replace=True, p=[0.7, 0.2, 0.1])point_size = np.concatenate((point_size, p_size), 0)tag_ = np.ones(halo_len) * 2 * 3tag = np.concatenate((tag, tag_), 0)x_y = np.around(np.stack([x, y], axis=1), 0)x, y = x_y[:, 0], x_y[:, 1]return x, y, point_size, tagdef get_frames(self, shape_func):for frame_idx in range(self.frame_num):np.random.seed(self.seed_num)self.frame_points.append(self.gen_points(self.seed_points_num, frame_idx, shape_func))frames = []def add_points(frame, x, y, size, tag):highlight1 = np.array(self.highlight_points_color_1, dtype='uint8')highlight2 = np.array(self.highlight_points_color_2, dtype='uint8')base_col = np.array(self.base_color, dtype='uint8')x, y = x.astype(int), y.astype(int)frame[y, x] = base_colsize_2 = np.int64(size == 2)frame[y, x + size_2] = base_colframe[y + size_2, x] = base_colsize_3 = np.int64(size == 3)frame[y + size_3, x] = base_colframe[y - size_3, x] = base_colframe[y, x + size_3] = base_colframe[y, x - size_3] = base_colframe[y + size_3, x + size_3] = base_colframe[y - size_3, x - size_3] = base_col# frame[y - size_3, x + size_3] = color# frame[y + size_3, x - size_3] = color# 高光random_sample = np.random.choice([1, 0], size=tag.shape, p=[self.highlight_rate, 1 - self.highlight_rate])# tag2_size1 = np.int64((tag <= 2) & (size == 1) & (random_sample == 1))# frame[y * tag2_size1, x * tag2_size1] = highlight2tag2_size2 = np.int64((tag 0 and self.set_bg_imgs:frame = cv2.addWeighted(self.bg_imgs[i % len(self.bg_imgs)], self.bg_weight, frame, self.curve_weight, 0)cv2.imshow(self.title, frame)cv2.waitKey(self.wait)if __name__ == '__main__':import yamlsettings = yaml.load(open("./settings.yaml", "r", encoding="utf-8"), Loader=yaml.FullLoader)if settings["wait"] == -1:settings["wait"] = int(settings["period_time"] / settings["frame_num"])del settings["period_time"]times = settings["times"]del settings["times"]heart = HeartSignal(seed_num=5201314, **settings)heart.draw(times)其中也要到这个py文件的相同的文件夹里引入settings.yaml文件：
# 颜色：RGB三原色数值 0~255# 设置高光时，尽量选择接近主色的颜色，看起来会和谐一点# 视频里的蓝色调#base_color: # 主色默认玫瑰粉#- 30#- 100#- 100#highlight_points_color_1: # 高光粒子色1 默认淡紫色#- 150#- 120#- 220#highlight_points_color_2: # 高光粒子色2 默认淡粉色#- 128#- 140#- 140base_color: # 主色默认玫瑰粉- 228- 100- 100highlight_points_color_1: # 高光粒子色1 默认淡紫色- 180- 87- 200highlight_points_color_2: # 高光粒子色2 默认淡粉色- 228- 140- 140period_time: 1000 * 2# 周期时间，默认1.5s一个周期times: 5 # 播放周期数，一个周期跳动1次frame_num: 24# 一个周期的生成帧数wait: 60# 每一帧停留时间, 设置太短可能造成闪屏，设置 -1 自动设置为 period_time / frame_numseed_points_num: 2000# 构成主图的种子粒子数，总粒子数是这个的8倍左右（包括散点和光晕）highlight_rate: 0.2 # 高光粒子的比例frame_width: 720# 窗口宽度，单位像素，设置背景图片后失效frame_height: 640# 窗口高度，单位像素，设置背景图片后失效scale: 9.1# 主图缩放比例curve: "butterfly"# 图案类型：heart, butterfly, starn_star: 7 # n-角型/星，如果curve设置成star才会生效，五角星：n-star:5, m-star:2m_star: 3 # curve设置成star才会生效，n-角形 m-star都是1，n-角星 m-star大于1，比如 七角星：n-star:7, m-star:2 或 3title: "Love Li Xun"# 仅支持字母，中文乱码background_img_dir: "src/center_imgs" # 这个目录放置背景图片，建议像素在400 X 400以上，否则可能报错，如果图片实在小，可以调整上面scale把爱心缩小set_bg_imgs: false # true或false，设置false用默认黑背景bg_img_scale: 0.6 # 0 - 1，背景图片缩放比例bg_weight: 0.4 # 0 - 1，背景图片权重，可看做透明度吧curve_weight: 1 # 同上# ======================== 推荐参数: 直接复制数值替换上面对应参数 ==================================# 蝴蝶，报错很可能是蝴蝶缩放大小超出窗口宽和高# curve: "butterfly"# frame_width: 800# frame_height: 720# scale: 60# base_color: [100, 100, 228]# highlight_points_color_1: [180, 87, 200]# highlight_points_color_2: [228, 140, 140]本代码是搬运github上的：
网址如下：
https://github.com/131250208/FunnyToys/blob/main/heart.py
演示：
