protocol-buffers

I am trying to run Google's deep dream. For some odd reason I keep getting ImportError: No module named google.protobuf after trying to import protobuf. I have installed protobuf using sudo install protobuf . I am running python 2.7 OSX Yosemite 10.10.3. I think it may be a deployment location issue but i cant find anything on the web about it. Currently deploying to /usr/local/lib/python2.7/site-packages. Panfeng Li There is another possibility, if you are running a python 2.7.11 or other similar versions, sudo pip install protobuf is ok. But if you are in a anaconda environment, you should

I'm getting this warning and an error afterwards when I try to parse a large message. I know than 64MB which is the default limit. I am using message.ParseFromIstream now. Does any one know to get access to CodedInputStream object to call the SetTotalBytesLimit function? or any other way to solve this problem? Reading dangerously large protocol message. If the message turns out to be larger than 67108864 bytes, parsing will be halted for security reasons. To increase the limit (or to disable these warnings), see CodedInputStream::SetTotalBytesLimit() in google/protobuf/io/coded_stream.h.

Marc mentioned on stackoverflow that it will be possible in v2 of protobuf-net to use ProtoInclude attribute (or similar approach) to serialize/deserialize class hierarchy without a need to specify each subtype in the base class. Is this implemented yet? We have a plugin interface that can be derived in external libraries, so there is no way of knowing what the derived types will be. We could maintain unique numbering between types though, but I couldn’t find any examples on the net, short of using ProtoInclude attribute which requires a subtype to be specified. How would I go about

I'm using Google Protocol Buffers to generate some Java classes for my project. Using Maven 2 and its "antrun" plugin, these classes are freshly generated before compile, output to target/generated-sources and put on the classpath during the build. So building the project from the POM is no problem. However, Eclipse doesn't know how to resolve the generated class, because the folder it's in doesn't seem to be on the IDE's classpath during development. I'm using m2eclipse and have it manage dependencies for me, so I had expected Maven to take care of this. How can I get IDE support (code

Is the metasyntactic static library for iOS . . . http://code.google.com/p/metasyntactic/wiki/ProtocolBuffers . . . compatible with regular old C++ compiled protofiles? I do not want to use the bundled compiler that generates Obj-C. Is there any way to compile the library supplied by Google for iOS? Ok. It appears that the metasyntactic library (or any other 3rd party library) is unnecessary in this case. You can just add the Google source directly to your project. I found the following answer from Nicola Ferruzzi in a google discussion group . . . The original answer is here . . . http:/

I am trying to finetune/retrain InceptionV1 model here, on my own data. I was able to Convert the Image data to TFR format data using this . Pass the converted data to finetune_inception_v1_on_flowers Complete the training and evaluation in according to the script file above, I am attaching the logs here. INFO:tensorflow:global step 1000: loss = 0.1833 (20.37 sec/step) INFO:tensorflow:Stopping Training. INFO:tensorflow:Finished training! Saving model to disk. INFO:tensorflow:Scale of 0 disables regularizer. WARNING:tensorflow:From eval_image_classifier.py:157: streaming_recall_at_k (from