forked from Rowland/EG
160 lines
5.7 KiB
Python
160 lines
5.7 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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def test_coordinate_conversion():
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"""测试坐标转换"""
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print("=== 坐标转换测试 ===\n")
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# 假设窗口大小
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window_width = 800
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window_height = 600
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print(f"窗口大小: {window_width} x {window_height}")
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print("\n测试不同位置的坐标转换:")
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test_points = [
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# (屏幕坐标, 描述)
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((0, 0), "左上角"),
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((window_width/2, window_height/2), "中心点"),
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((window_width, window_height), "右下角"),
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((window_width/4, window_height/4), "左上象限"),
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((3*window_width/4, 3*window_height/4), "右下象限"),
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((419, 96), "用户点击的位置"), # 来自之前的日志
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]
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for (screen_x, screen_y), description in test_points:
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# 方法1：标准转换（我们当前使用的）
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normalized_x1 = (2.0 * screen_x / window_width) - 1.0
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normalized_y1 = 1.0 - (2.0 * screen_y / window_height)
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# 方法2：简单转换
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normalized_x2 = (screen_x / window_width) * 2 - 1
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normalized_y2 = 1 - (screen_y / window_height) * 2
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# 方法3：不反转Y轴
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normalized_x3 = (2.0 * screen_x / window_width) - 1.0
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normalized_y3 = (2.0 * screen_y / window_height) - 1.0
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print(f"\n{description}: 屏幕坐标({screen_x:.0f}, {screen_y:.0f})")
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print(f" 方法1 (当前): ({normalized_x1:.3f}, {normalized_y1:.3f})")
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print(f" 方法2 (等价): ({normalized_x2:.3f}, {normalized_y2:.3f})")
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print(f" 方法3 (不反转Y): ({normalized_x3:.3f}, {normalized_y3:.3f})")
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# 验证是否在有效范围内
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in_range1 = -1 <= normalized_x1 <= 1 and -1 <= normalized_y1 <= 1
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in_range3 = -1 <= normalized_x3 <= 1 and -1 <= normalized_y3 <= 1
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print(f" 方法1 在范围内: {in_range1}")
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print(f" 方法3 在范围内: {in_range3}")
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def test_qt_coordinate_precision():
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"""测试Qt坐标精度问题"""
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print("\n=== Qt坐标精度测试 ===")
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# 模拟真实的Qt widget大小（来自日志）
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qt_width = 1238.0
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qt_height = 725.0
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# 模拟真实的点击位置（来自日志）
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click_x = 615
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click_y = 237
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print(f"Qt Widget大小: {qt_width} x {qt_height}")
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print(f"点击位置: ({click_x}, {click_y})")
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# 当前的转换方法
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normalized_x = (2.0 * click_x / qt_width) - 1.0
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normalized_y = 1.0 - (2.0 * click_y / qt_height)
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print(f"归一化坐标: ({normalized_x:.6f}, {normalized_y:.6f})")
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# 验证屏幕中心
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center_x = qt_width / 2
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center_y = qt_height / 2
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center_norm_x = (2.0 * center_x / qt_width) - 1.0
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center_norm_y = 1.0 - (2.0 * center_y / qt_height)
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print(f"屏幕中心: ({center_x}, {center_y}) -> ({center_norm_x:.6f}, {center_norm_y:.6f})")
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# 分析点击位置相对于中心的偏移
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offset_from_center_x = click_x - center_x
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offset_from_center_y = click_y - center_y
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print(f"相对于中心的偏移: ({offset_from_center_x:.1f}, {offset_from_center_y:.1f})")
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# 计算归一化偏移
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norm_offset_x = offset_from_center_x / (qt_width / 2)
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norm_offset_y = -offset_from_center_y / (qt_height / 2) # Y轴反转
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print(f"归一化偏移: ({norm_offset_x:.6f}, {norm_offset_y:.6f})")
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# 预期的归一化坐标（从中心偏移）
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expected_norm_x = norm_offset_x
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expected_norm_y = norm_offset_y
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print(f"预期归一化坐标: ({expected_norm_x:.6f}, {expected_norm_y:.6f})")
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# 比较
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diff_x = abs(normalized_x - expected_norm_x)
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diff_y = abs(normalized_y - expected_norm_y)
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print(f"坐标差异: X={diff_x:.6f}, Y={diff_y:.6f}")
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def test_panda3d_coordinate_systems():
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"""测试Panda3D的坐标系统"""
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print("\n=== Panda3D坐标系统 ===")
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print("屏幕坐标系统:")
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print(" Qt: 左上角(0,0), 右下角(w,h), Y轴向下")
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print(" Panda3D: 左下角(-1,-1), 右上角(1,1), Y轴向上")
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print()
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print("3D世界坐标系统:")
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print(" X轴: 向右为正")
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print(" Y轴: 向前为正（远离相机）")
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print(" Z轴: 向上为正")
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print()
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print("相机坐标系统:")
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print(" X轴: 向右为正")
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print(" Y轴: 向前为正（相机朝向）")
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print(" Z轴: 向上为正")
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def test_coordinate_alignment_issue():
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"""测试坐标对齐问题"""
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print("\n=== 坐标对齐问题分析 ===")
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qt_width = 1238.0
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qt_height = 725.0
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print("测试不同位置的归一化坐标:")
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test_positions = [
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("左边缘", 50, qt_height/2),
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("右边缘", qt_width-50, qt_height/2),
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("上边缘", qt_width/2, 50),
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("下边缘", qt_width/2, qt_height-50),
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("左上角", 100, 100),
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("右下角", qt_width-100, qt_height-100),
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("中心", qt_width/2, qt_height/2),
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("用户点击", 615, 237)
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]
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for name, x, y in test_positions:
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# 当前方法
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norm_x = (2.0 * x / qt_width) - 1.0
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norm_y = 1.0 - (2.0 * y / qt_height)
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# 期望：点击边缘应该接近±1，点击中心应该接近0
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# 左边缘应该接近-1，右边缘应该接近+1
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# 上边缘应该接近+1，下边缘应该接近-1
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expected_x = (x - qt_width/2) / (qt_width/2)
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expected_y = (qt_height/2 - y) / (qt_height/2)
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print(f"{name:8s}: 实际({norm_x:6.3f}, {norm_y:6.3f}) 期望({expected_x:6.3f}, {expected_y:6.3f})")
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if __name__ == "__main__":
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test_coordinate_conversion()
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test_qt_coordinate_precision()
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test_panda3d_coordinate_systems()
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test_coordinate_alignment_issue() |