

- #Elan home controls connection to opensprinkler update
- #Elan home controls connection to opensprinkler code
- #Elan home controls connection to opensprinkler series
Intermingle arbitrary Matlab code with gradient stepsĪn ILSVRC image classification demo is in caffe/matlab/demo/classification_demo.m (you need to download BVLC CaffeNet from Model Zoo to run it).Run for a certain number of iterations and give back control to Matlab.Access train net and test nets in a solver.Create multiple Solvers in Matlab for training.Edit network parameter and do network surgery.Save a network's parameters to file, and load parameters from file.Get and set data or diff to any blob within a network, not restricting to input blobs or output blobs.Access any layer within a network, and any parameter blob in a layer.The MATLAB interface - matcaffe - is the caffe package in caffe/matlab in which you can integrate Caffe in your Matlab code.
#Elan home controls connection to opensprinkler series
Since approach to prepare input can be arbitrary, instead of providing a series of such image preparing functions, I decided to leave that to users and illustrate it in caffe/matlab/classification_demo.m for CaffeNet. For taking crops, CaffeNet first resize to 256x256 and takes 10 crops, while some method resize image to have min(h, w)=256 and take 10 crops from 256x256 central region, and some first resize to min(h, w)=256 and takes 10 crops from 4 conor + center (and flips) of the resized image instead its 256x256 central region.

CaffeNet) and some do channel mean subtraction (e.g. For mean subtraction, some methods do image mean subtraction (e.g. In this new interface, I did not provide specific mean subtraction functions, image preparation functions or image classification functions, as it depends on which method you are using.Previously the image_mean in ilsvrc_2012_mean.mat was in Height x Width x Channels with BGR, which was neither Matlab's image format nor caffe's data format, but somewhere in the middle, and inconsistent with read_mean.
#Elan home controls connection to opensprinkler update

However features in #1913 are still limited (e.g.

#501 (followed by #1913) attempted to resolve this issue by adding more functions. It has been an issue for a long time in Caffe that Matlab interface is not as powerful as Python interface. If not, change your configuration and you should be good and running.This PR creates a powerful Matlab interface for Caffe. Is it listenning on every IP and accepting connections from anywhere (or at least your network)? If everything above works and is as it should, you then have to focus on the service running on the Pi. Both are being sent, but answer is not recieved => missconfiguration of firewall on source or routing problem (probably not your case).Request is being sent and answer not => most lickely missconfiguration on dest.Request is not being sent => most lickely missconfiguration on source.You will be able to see there what's going on. Tcpdump -i eth0 -n #(or use whireshark if possible) Not working? Then check your configuration route -nĮverything as it should? ping again while you execute You are on the same network, so there shouldn't be problems here. You said it is dissabled, so we can forget about it.įlush all of them for testing in case there's any Let's say your Raspberry Pi has ip 192.168.0.10/24 and you are accessing from a device on the same network. You can focus on firewall/iptables/routing/ip configuration issues, so let's go ahead with those. I can remote into the pi and launch a web browser and type in localhost:8080 and it seems to work fine.
