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Files for a tutorial to train SegNet for road scenes using the CamVid dataset

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Hello, SegNet Caffe for Python not to build on OS Windows. Where can I find compute_bn_statistics.py script in C++? Or is not difficult if you write it? Thank you!!!

Hi All, I am fine tuning `segnet_basic_camvid.caffemodel` on Cityscape data by using `segnet_basic_train.prototxt` and `segnet_basic_solver.prototxt`. The output of loss and avg accuracy looks good (loss: 0.76, avg accuracy: 0.6). But...

Hi there, sorry for my bad English. I have done everything to build caffe-segnet in your tutorial with openblas and cpu only config on my mac, also pycaffe. When I...

@alexgkendall Hello, I tried to run the code webcam_demo.py on a video clip. When I use `caffe.set_mode_cpu`, the average frame rate is about 9 second per frame. However, when I...

I'm trying to testing bayesian segnet. I use command in the tutorial for testing : `python ./SegNet/Scripts/test_bayesian_segnet.py --model SegNet/Models/bayesian_segnet_inference.prototxt --weights SegNet/Models/Inference/bayesian_segnet_camvid.caffemodel --colours SegNet/Scripts/camvid11.png --data SegNet/CamVid/test.txt ` **But I got a...

Hi @alexgkendall Everything works perfectly for me but I just had one concern regarding the weights generation time. I have thousands of images in training and when I start weights...

Recently, i have change to use GTX1080, so i install cuda8 and the respectively cudnn v5. how can i change the code for my computer? Regards!

Hi if I add "AdaGrad" to segnet_solver.prototxt i get following error: ` Message type "caffe.SolverParameter" has no field named "type".` Is this due to segnet-caffe? Is there a workaround? Best...

I have 4GB of GPU memory and getting out of memory error with just batch_size of 2 F1215 16:35:47.650579 5231 syncedmem.cpp:51] Check failed: error == cudaSuccess (2 vs. 0) out...

Hi, I'm trying to use segnet on the Pascal VOC2012 dataset. I modified a little to make the network suit for different input size as shown in Pascal. But, unfortunately,...