Python从Manim中提取表格/坐标系并转GIF的四种高效方案

import ast
from ast import NodeTransformer

class ManimElementFilter(NodeTransformer):
    # 保留的元素类型
    PRESERVE = {"Axes", "Table", "BarChart"}
    # 移除的文字公式类型
    REMOVE = {"Text", "MathTex", "Tex"}

    def visit_Call(self, node):
        # 移除文字公式创建代码
        if isinstance(node.func, ast.Name) and node.func.id in self.REMOVE:
            return None
        
        # 过滤方法调用中的文字参数
        if (isinstance(node.func, ast.Attribute) and 
            node.func.value.id == "self" and 
            node.func.attr in ["add", "play"]):
            
            node.args = [arg for arg in node.args 
                        if not (isinstance(arg, ast.Call) and 
                                isinstance(arg.func, ast.Name) and 
                                arg.func.id in self.REMOVE)]
        
        return node

# 处理代码
tree = ast.parse(original_code)
filtered_tree = ManimElementFilter().visit(tree)
# 添加相机聚焦逻辑并导出GIF

from manimlib.scene.scene import Scene

class ElementExtractingScene(Scene):
    # 目标元素类型
    target_types = (Axes, Table, BarChart)
    
    def setup(self):
        super().setup()
        self.original_construct = self.construct
        self.construct = self.filtered_construct
    
    def filtered_construct(self):
        # 执行原始构造逻辑
        self.original_construct()
        # 筛选目标元素
        self.mobjects = [m for m in self.mobjects 
                        if isinstance(m, self.target_types)]
        # 调整相机
        if self.mobjects:
            self.camera.frame.move_to(self.mobjects[0].get_center())
            self.camera.frame.set_height(max(m.get_height() for m in self.mobjects) * 1.2)

# 修改原场景继承
class MyScene(ElementExtractingScene):
    # 原场景代码不变

import cv2
import numpy as np

def detect_table_region(frame):
    """检测表格区域"""
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    edges = cv2.Canny(gray, 50, 150)
    
    # 检测直线（表格线特征）
    lines = cv2.HoughLinesP(edges, 1, np.pi/180, 100, 
                           minLineLength=50, maxLineGap=10)
    
    if lines is None:
        return None
        
    # 计算边界框
    min_x = np.min(lines[:, :, 0])
    max_x = np.max(lines[:, :, 2])
    min_y = np.min(lines[:, :, 1])
    max_y = np.max(lines[:, :, 3])
    
    return (min_y, max_y, min_x, max_x)

def create_gif_from_roi(frames, roi, output_path):
    """从ROI区域创建GIF"""
    min_y, max_y, min_x, max_x = roi
    # 裁剪所有帧并合成GIF
    # ...

class ElementMarker:
    def __init__(self):
        self.marked = {}
    
    def mark(self, element, name=None, **kwargs):
        """标记元素并附加导出参数"""
        name = name or f"element_{len(self.marked)}"
        self.marked[name] = (element, kwargs)
        return element  # 不影响原有代码

# 使用示例
class MyScene(Scene):
    def construct(self):
        marker = ElementMarker()
        
        # 标记表格
        table = marker.mark(
            Table([["A", "B"], ["C", "D"]]),
            name="data_table", type="table"
        )
        
        # 标记坐标系
        axes = marker.mark(
            Axes(x_range=[0, 10], y_range=[0, 10]),
            name="main_axes", type="axes"
        )
        
        # 导出逻辑
        self.export_marked(marker)