我有一张包含40张旋转图像的图像。
实际上图像索引从0到39开始。
这是将0-39转换为度
的代码int image_direction = 0; //Can be 0-39
int facing_degrees = (int)(360.0 * (-(image_direction- 10.0))/40.0);
while(facing_degrees < 0)
facing_degrees += 360;
while (facing_degrees > 360)
facing_degrees -= 360;
所以是的,它也可以给出负度以及度数超过360.所以这就是为什么有2个while循环。
现在我希望扭转这个过程说我指定90度我想回来0 ..
我在考虑做类似
的事情 if(degrees == 90 || degrees >= 80 && degrees <= 99)
image_direction = 0;
elseif(degrees == 100 || degrees >= 91 && degrees <= 109)
image_direction = 39;
//etc.......
嗯,我不擅长数学,我忘记了这种东西。
我想知道你怎么能扭转这个函数,它使image_direction的度数在一个简单的等式中向后运行,以避免if语句的大量情况。
以下是一些结果
Image Index = 0 Image Degree = 90
Image Index = 1 Image Degree = 81
Image Index = 2 Image Degree = 72
Image Index = 3 Image Degree = 63
Image Index = 4 Image Degree = 54
Image Index = 5 Image Degree = 45
Image Index = 6 Image Degree = 36
Image Index = 7 Image Degree = 27
Image Index = 8 Image Degree = 18
Image Index = 9 Image Degree = 9
Image Index = 10 Image Degree = 0
Image Index = 11 Image Degree = 351
Image Index = 12 Image Degree = 342
Image Index = 13 Image Degree = 333
Image Index = 14 Image Degree = 324
Image Index = 15 Image Degree = 315
Image Index = 16 Image Degree = 306
Image Index = 17 Image Degree = 297
Image Index = 18 Image Degree = 288
Image Index = 19 Image Degree = 279
Image Index = 20 Image Degree = 270
Image Index = 21 Image Degree = 261
Image Index = 22 Image Degree = 252
Image Index = 23 Image Degree = 243
Image Index = 24 Image Degree = 234
Image Index = 25 Image Degree = 225
Image Index = 26 Image Degree = 216
Image Index = 27 Image Degree = 207
Image Index = 28 Image Degree = 198
Image Index = 29 Image Degree = 189
Image Index = 30 Image Degree = 180
Image Index = 31 Image Degree = 171
Image Index = 32 Image Degree = 162
Image Index = 33 Image Degree = 153
Image Index = 34 Image Degree = 144
Image Index = 35 Image Degree = 135
Image Index = 36 Image Degree = 126
Image Index = 37 Image Degree = 117
Image Index = 38 Image Degree = 108
Image Index = 39 Image Degree = 99
Image Index = 0 Image Degree = 90
Image Index = 1 Image Degree = 81
Image Index = 2 Image Degree = 72
Image Index = 3 Image Degree = 63
Image Index = 4 Image Degree = 54
Image Index = 5 Image Degree = 45
Image Index = 6 Image Degree = 36
Image Index = 7 Image Degree = 27
Image Index = 8 Image Degree = 18
答案 0 :(得分:1)
嗯,为什么不通过一些调整来使用类似于“百分比公式”的东西:
image_direction = (int)(((float)(degrees-90) / 360) * 40) % 40;
if (image_direction < 0)
image_direction += 40; // for negative integers
打破公式;我们将度数除以360并乘以40以得到给定指定度数的正确图像,然后我们使用模运算符将image_direction保持在0-39范围内,对于度数&gt; +360或&lt; -360最后,如果度数是负数,则image_direction将变为负数,因此向其添加40将校正image_direction。
希望这会有所帮助。
编辑:哦对不起,我似乎错过了关于90 ==图像索引0的部分,这里很容易添加,只是从实际程度减去90(上面编辑的代码)
答案 1 :(得分:1)
从输入到输出的映射,我将它们粘贴到Excel中,并确定计算度数的公式如下:
RawDegrees = 90 - (index * 9)
然后将其剪裁为0 ... 360(使用while循环回绕),您将获得最终的度数输出。通过重新排列上述内容使索引成为主题
,可以找到反转它的公式RawDegrees - 90 = - (index * 9) --- 1 RawDegrees/9.0 - 10 = -index --- 2 Therefore index = 10 - Degrees/9.0
这将为您提供以下映射
Degree Discovered Index 90 0 81 1 72 2 63 3 54 4 45 5 36 6 27 7 18 8 9 9 0 10 351 -29 342 -28 333 -27 324 -26 315 -25 306 -24 297 -23 288 -22 279 -21 270 -20 261 -19 252 -18 243 -17 234 -16 225 -15 216 -14 207 -13 198 -12 189 -11 180 -10 171 -9 162 -8 153 -7 144 -6 135 -5 126 -4 117 -3 108 -2 99 -1 90 0 81 1 72 2 63 3 54 4 45 5 36 6 27 7 18 8
您需要做的就是执行环绕以将答案剪辑为0..39,例如
index = index < 0 ? index + 40 : index;
获得正确的输出。
顺便提一下,您的度数代码索引可以按如下因素分解,以获得相同的输出(对于输入0..39有效)
int facing_degrees = (int)(90.0 - (image_direction * 9.0));
facing_degrees = facing_degrees < 0 ? facing_degrees + 360 : facing_degrees;