May-forever
May-forever
> Hey guys! > I'm using Mask R CNN on a custom dataset, very simple: solid background and objects divided into 4 classes, more or less of the same size,...
Dear manojmsrit, I want to use Mask-RCNN to train on my custom dataset (just one class). First of all, I use Labelme to create groundtruth for each image. Each image...
Dear rasputin1917, I want to use Mask-RCNN to train on my custom dataset (just one class). First of all, I use Labelme to create groundtruth for each image. Each image...
> po主你好，我采用yolov3完整的网络进行稀疏化训练，训练后裁剪80%效果，然后微调，虽然有损失，效果还可以。但是我采用手动裁剪过的网络作为基础网络进行稀疏化训练（未稀疏化之前效果可以），稀疏化完，不裁剪时的网络效果就很不好了，裁剪完微调，precision一直很低。求教基础网络必须是完整的yolov3吗？ 师兄，你好，我想了解一下，我自己基于YOLOV3改进了一个网络，可以用这个项目进行稀疏训练吗
Dear amin3511, I want to use Mask-RCNN to train on my custom dataset (just one class). First of all, I use Labelme to create groundtruth for each image. Each image...
> I wrote wrong command so far. > > Below one is correct. > python convert_pt_weights.py prune_0.5_0.1/prune.cfg prune_0.5_0.1/prune.pt > > Then, I have got converted weight model with below message....
> Well, I have never tried without yolov3. > I am struggling with this many days. > If I got any solution, I notice you. > > My pruned yolov3...
> **when I run prune.py with follow parameter,** > Namespace(cfg='cfg/yolov3-spp.cfg', img_size=608, overall_ratio=0.5, perlayer_ratio=0.1, save='prune_0.5_0.1', weights='weights/best.pt') > Using CUDA device0 _CudaDeviceProperties(name='GeForce GTX 1060 6GB', total_memory=6078MB) > > **i get the error:**...
> 目前这个只定义了图片的识别，可以通过修改YoloWrapper .cs文件中的detect_image进行定义 Hi, @zhang8043 My PC environment base are Vs2019&CUDA10.2&cudnn7.6.5, and I build the yolo_cpp_dll.dll But when I run YoloWrapperConsole to use yolo_cpp_dll.dll, an error occurs as following: ...