徐静
徐静
按照ScaledYOLOv4的配置方式成功后,运行YOLO v4-p7出现如题所示的错误!
cmake error
``` CMakeFiles/yolov5_trt.dir/build.make:86: recipe for target 'CMakeFiles/yolov5_trt.dir/yolov5.cpp.o' failed make[2]: *** [CMakeFiles/yolov5_trt.dir/yolov5.cpp.o] Error 1 CMakeFiles/Makefile2:67: recipe for target 'CMakeFiles/yolov5_trt.dir/all' failed make[1]: *** [CMakeFiles/yolov5_trt.dir/all] Error 2 Makefile:83: recipe for target 'all' failed make:...
Mish-cuda的安装
ubuntu16.04, V100 GPU. Python3.7, 在cuda9.0, Pytorch1.3.0的情况下 Mish-cuda是可正常编译安装的,但是此时无法使用amp; CUDA9.2和CUDA10.0,CUDA10.2下均尝试显示安装Mish-cuda报错,大佬们有遇到过这种情况吗?
看了大佬的代码,最后的output和Loss均基于Sigmoid的二分类问题,如果要改成多类别的语义分割问题,网络的最后output和Loss是不是要重新设计,比如,我要分割图像中的person和dog,意味着网络的output的channel最后需要是2,sigmoid需要替换为softmax,相应的Loss也要替换为多分类的Loss是这样吗?
In the `Dataset Zoo` I see > The field [class] should be 0. Only single-class multi-object tracking is supported in this version. means only support single-class, **Can I tracking person...
Predict result: [{"error": "Inference error : 'image_bytes'"}, 400]
我试了一下数据增强,增强的mask是24位的,训练需要8位的mask,需要统一转化为8位的mask吗?
summary resnet ``` def forward(self, x): out = self.conv(x) out = self.bn(out) out = self.relu(out) out = self.layer1(out) out = self.layer2(out) out = self.layer3(out) out = self.avg_pool(out) out = out.view(out.size(0),...
2块GTX 1080Ti 11G现存,batch_szie设为32,开了多GPU参数,为什么会报OOM,相同的参数设定,单块GPU是可以运行的。。。。。
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