Segmentation error in coffee-based neural network convolutional model

I am following a human segmentation tutorial that trains a model FCN-8s

caffe

for a semantic segmentation problem using Pascal VOC-12, in which out of 21 classes, one class has a personality, and furthermore, they trained a similar model again, but for 1 class, which is a human in portrait mode and the images in the sample database are 800 X 600. But when I tried to prepare 360 ​​X 640 person images for landscape mode, I get segmentation error while setting fc6 convolutional layer, the error log is in the bottom link as it is too big to post here. error log

training script:

protobuf file for FCN-8 model:

solution file for the model used at the top of the FCN-8:

send the protobuf file for the model used at the top of the FCN-8:

+3
segmentation-fault deep-learning object-detection caffe conv-neural-network


source to share


No one has answered this question yet

Check out similar questions:

369
Era versus iteration in neural network training
ten
Caffe | Validation failed: error == cudaSuccess (2 vs 0) out of memory
3
Image per pixel. Scene tagging issue (using FCN-32 semantic segmentation)
3
Fully minimized network workout Image size
2
Error while training underlying network in caffe using ImageData layer
1
Regression in Caffe: the prediction is very wrong
0
Caffe: need a few tries to start learning with python
0
caffe - How to reduce the size of input images for googlenet training
0
Error while testing the Caffe Alexnet caffe model
-2
a substrate generation engine for training a fully convolutional neural network



All Articles
Loading...
X
Show
Funny
Dev
Pics