Pick公式 POJ2954Triangle

题意:给出3个点的坐标(都是整数),求有多少个整点在三角形里面。

Pick公式:平面上以格子点为顶点的简单多边形,如果边上的点数为on,内部的点数为in,则它的面积为area=on/2+in-1。

利用gcd求每个边上的点数on。

(多边形的做法类似)

#include <iostream>
#include <cstring>
#include <cstdio>
#include <cstdlib>
using namespace std;

int gcd(int a,int b){
	if (b==0)return a;
	gcd(b,a%b);
}

int main(){
	int x1,x2,x3,y1,y2,y3;
	while (~scanf("%d%d%d%d%d%d",&x1,&y1,&x2,&y2,&x3,&y3)){
		if (x1==0&&y1==0&&x2==0&&y2==0&&x3==0&&y3==0) break;
		int Area2=abs((x2-x1)*(y3-y1)-(y2-y1)*(x3-x1));
		int on= gcd(abs(x2-x1),abs(y2-y1))+
				gcd(abs(x3-x2),abs(y3-y2))+
				gcd(abs(x1-x3),abs(y1-y3));
		int in=(Area2-on+2)/2;
		printf("%d\n",in);
	}
	return 0;
}


optimizer: AdamW(lr=0.0001, momentum=0.937) with parameter groups 113 weight(decay=0.0), 138 weight(decay=0.05468750000000001), 134 bias(decay=0.0) Image sizes 640 train, 640 val Using 8 dataloader workers Logging results to runs\detect\train10 Starting training for 600 epochs... Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size 0%| | 0/82 [00:00<?, ?it/s]CARA_Block input shape: torch.Size([14, 64, 80, 80]) CARA_Block output shape: torch.Size([14, 64, 80, 80]) CARA_Block input shape: torch.Size([14, 128, 40, 40]) CARA_Block output shape: torch.Size([14, 128, 40, 40]) CARA_Block input shape: torch.Size([14, 256, 20, 20]) CARA_Block output shape: torch.Size([14, 256, 20, 20]) 0%| | 0/82 [00:01<?, ?it/s] Traceback (most recent call last): File "E:\WanHua Industria Parkl\code\YOLOv11\newmodels\traincus.py", line 8, in <module> model.train( File "D:\Anaconda\lib\site-packages\ultralytics\engine\model.py", line 810, in train self.trainer.train() File "D:\Anaconda\lib\site-packages\ultralytics\engine\trainer.py", line 208, in train self._do_train(world_size) File "D:\Anaconda\lib\site-packages\ultralytics\engine\trainer.py", line 393, in _do_train self.optimizer_step() File "D:\Anaconda\lib\site-packages\ultralytics\engine\trainer.py", line 599, in optimizer_step self.ema.update(self.model) File "D:\Anaconda\lib\site-packages\ultralytics\utils\torch_utils.py", line 544, in update v += (1 - d) * msd[k].detach() RuntimeError: The size of tensor a (32) must match the size of tensor b (80) at non-singleton dimension 3
03-15
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