', function(index) { - layer.close(index); - fly.json('/api/jieda-delete/', { - id: li.data('id') - }, function(res) { - if(res.status === 0) { - var count = dom.jiedaCount.text() | 0; - dom.jiedaCount.html(--count); - li.remove(); - //如果删除了最佳答案...
Modbus的CRC校验实验 表述 Name :"CRC-16/MODBUS"Width :16Poly :8005Init :FFFFRefIn :TrueRefOut :TrueXorOut :0000Check :? 先参考一些厂家给的MODBUS校验程序 const unsigned char auchCRCHi[] = {0x00,0xC1,0x81,0x40,0x01,0xC0,0x80,0x41,0x01,0xC0,0x80,0x41,0x00,0xC1,0x81,0x40,0x0...
开始时调用HAL_UART_Receive_DMA(&huart1, uartDeviceRxBuf, UART_BUF_LEN); 在接收到的相应长度的数据之后DMA会产生一个完成的中断,其回调函数与中断模式相同,虽然两者发生中断地方不一致,但是操作是同一个 voidHAL_UART_RxCpltCallback(UART_HandleTypeDef *uartHandle) {if(uartHandle->Instance == USART1) ...
if (lua_count == 0) { dirp = opendir(parameter); if(dirp != NULL) { while(1) { direntp = readdir(dirp); if(direntp == NULL) break; else if(direntp->d_name[0] != '.') { int namelen = strlen(direntp->d_name); if (namelen > 3 && strncmp(direntp->d_name + nam...
Bàn thắng phạt đền000 Đá hỏng phạt đền000 Sút trúng đích000 Sút không trúng đích000 Dứt điểm bị cản phá000 Bàn thắng ngoài vòng cấm000 Chạm khung gỗ000 Bàn thắng sút phạt000 ...
通过print(img_array.shape)以查看img是否为C(通道)H(高度)W(宽度)的形式 print(img_array.shape)#(512, 768, 3) 把add_img语句改成 writer.add_image("test",img_array,1,dataformats='HWC') 4、最终代码 fromtorch.utils.tensorboardimportSummaryWriterimportnumpyasnpfromPILimportImage ...
target = self.targets[item]ifself.transform: image = self.transform(image)returnimage, targetdef__len__(self):returnlen(self.images)defworker_init_fn(worker_id): imgaug.seed(np.random.get_state()[1][0] + worker_id) custom_ds = CustomDataset(n_images=50, n_classes=10, transform=tfs...
toks = [t[i:i+self.ngram]foriinrange(0,len(t), self.stride)iflen(t[i:i+self.ngram]) == self.ngram]returntoks# 假设不使用实例属性,而是硬编码deftokenize(self, t): t = t.upper() ngram =5stride =2ifngram ==1: toks =list(t)else: ...
file_val.write(name)else: file_test.write(name) file_trainval.close() file_train.close() file_val.close() file_test.close() 2、运行voc_label.py 该脚本文件的主要功能是生成训练集/测试集/验证集的数据索引文件train.txt/test.txt/val.txt,并归一化标注信息(labels文件夹下)。
# 方案二:使用“device”,后续对要使用GPU的变量用.to(device)即可device = torch.device("cuda:1"iftorch.cuda.is_available()else"cpu") 3、数据读入 参考资料 (1)机器模型学习的五大模块 分别是数据,模型,损失函数,优化器,迭代训练 (2)数据读取机制 ...