甘益波

关于day12中的Server类的构造函数

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Server::Server(EventLoop *_loop) : mainReactor(_loop), acceptor(nullptr){ acceptor = new Acceptor(mainReactor); std::function cb = std::bind(&Server::newConnection, this, std::placeholders::_1); acceptor->setNewConnectionCallback(cb); int size = std::thread::hardware_concurrency(); thpool = new ThreadPool(size); for(int i = 0; i <...

关于day12中server类构造函数的

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`Server::Server(EventLoop *_loop) : mainReactor(_loop), acceptor(nullptr){ acceptor = new Acceptor(mainReactor);//主反应堆，用来处理连接事件 std::function cb = std::bind(&Server::newConnection, this, std::placeholders::_1); acceptor->setNewConnectionCallback(cb); int size = std::thread::hardware_concurrency(); thpool = new ThreadPool(size); for(int i = 0; i <...

Can not get the predicted result

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when i run video_test.py,the code was correctly runned,but there is no predicted result in the window.Can you tell me the reason about that?

请问如何使用自己训练的权重进行预测

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当我把video_demo.py中权重加载路径改成自己训练的权重文件之后进行预测的时总是会报错如下: tensorflow.python.framework.errors_impl.NotFoundError: /home/GanYB/PycharmProjects/object_detection/tensorflow-yolov3/checkpoint/yolov3_train_loss=6.1510.ckpt-50; No such file or directory 请问这个问题怎么解决呢

您好，请问边框解码的这段代码怎么解读呀

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topk_scores = topk_scores[0].cpu().numpy() topk_ind = topk_clses[0].cpu().numpy() topk_bbox_pred = bbox_pred[topk_inds[0]].cpu().numpy() 为什么要去取[0]啊，我不太理解

train from scratch on cifar100

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What is the accuracy of training from scratch on CIFAR100？ Do you have tried?

请问你在注释里面提到的用python实现深度学习框架的课程在哪里可以观看啊