Hu Kai
Hu Kai
v5Lite-e
请问为什么v5Lite-e中的head用的是DWConv替换C3呢,而不继续像backbone那样用Shuffle_Block替换呢? 
 为什么reference的时候要改写成这样呢?
Is this line suppose to be TPs? 
你好,这个unet仓库没有大型数据集的预训练权重的吗?
3.0一直报错
Traceback (most recent call last): File "/home/yyds/hukai/faster-rcnn-pytorch-master/train.py", line 382, in fit_one_epoch(model, train_util, loss_history, optimizer, epoch, epoch_step, epoch_step_val, gen, gen_val, UnFreeze_Epoch, Cuda, fp16, scaler, save_period, save_dir) File "/home/yyds/hukai/faster-rcnn-pytorch-master/utils/utils_fit.py", line 27, in...
### Search before asking - [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and found no similar questions. ### Question Can you send me a copy of the training...
num_features ??? 
Do you have CSPDenseNet pre_train weight?
有个问题:在内存复用时,如果当前需要的内存小于已申请的内存,直接返回已申请的内存,但是如何保证这段内存没有在使用,如果在其他线程中这段内存正在被使用,那不就错了?
想实现的功能:使用mmp代替cv::Mat image = cv::imdecode(cv::Mat(1, buf.bytesused, CV_8UC1, buffers_[buf.index].start), cv::IMREAD_COLOR); 减少cpu使用率 代码: #include #include #include #include #include #include #include #include #include #include #include // #include #include #include #include #define HEIGHT 480 #define...