- pytorch densenet
- Call for Another Graphics Card with Pycharm
- Class and Instance in Python
- matlab laplacian filtering
- conference list
- matlab Semantic Segmentation Using Deep Learning
pytorch densenet
pytorch densenet is constructed with the class of _DenseBlock
we can judge the dense block with the code below:
isinstance(layer,models.densenet._DenseBlock)
the stucture of the densenet is:
Conv2d id = 0
BatchNorm2d id = 1
ReLU id = 2
MaxPool2d id = 3
_DenseBlock id = 4
_DenseLayer x 6
BatchNorm2d
ReLU
Conv2d
BatchNorm2d
ReLU
Conv2d
_Transition id = 5
BatchNorm2d
ReLU
Conv2d
AvgPool2d
_DenseBlock id = 6
_DenseLayer x 12
BatchNorm2d
ReLU
Conv2d
BatchNorm2d
ReLU
Conv2d
_Transition id = 7
BatchNorm2d
ReLU
Conv2d
AvgPool2d
_DenseBlock id = 8
_DenseLayer x 36
BatchNorm2d
ReLU
Conv2d
BatchNorm2d
ReLU
Conv2d
_Transition id = 9
BatchNorm2d
ReLU
Conv2d
AvgPool2d
_DenseBlock id = 10
_DenseLayer x 24
BatchNorm2d
ReLU
Conv2d
BatchNorm2d
ReLU
Conv2d
_BatchNorm2d id = 11
Call for Another Graphics Card with Pycharm
Run -> Edit Configutrations -> Environment variables
set CUDA_VISIBLE_DEVICES as 0, 1, or other values
Class and Instance in Python
ref https://www.cnblogs.com/Lambda721/p/6130209.html
matlab laplacian filtering
conference list
IEEE International Conference on Multimedia & Expo 2017
ACM SIGMM International Conference on Multimedia Retrieval Jan. 30th, 2018
Eurographics Conference on Visualization 2017
Computer Animation and Social Agents Jan 27, 2018
Computer Graphics International February 13, 2018, 23:59 UTC
IEEE Pacific Visualization Symposium 2017
C International Conference on Multimedia Modeling Jul 15, 2018
C Pacific-Rim Conference on Multimedia May 5, 2018
C ACCV Asian Conference on Computer Vision Jul 5, 2018
C British Machine Vision Conference 30 April 2018
matlab Semantic Segmentation Using Deep Learning
https://cn.mathworks.com/help/vision/examples/semantic-segmentation-using-deep-learning.html