I clone https://github.com/pjreddie/darknet ,then build in windows10!
Run "./darknet detect cfg/yolov3.cfg yolov3.weights data/dog.jpg" is no problem,but when run "python python/darknet.py" report error"Segmentation fault".
What can i do next?
Related
The objective of my experiment is to build tensorflow on Jetson TK1 arm based embedded board. Since pre-builts of tensorflow for arm architecture are not given by the official releases, I was forced to the option of building it from source.
To build tensorflow, we need Bazel which should be also build from source. Now I got stuck here, not able to build bazel at all.
I have referred various blogs and github projects and tried to follow the instructions everyone said it worked for them.
1) Tensorflow on Raspberry-pi
2) Jetson Hacks building Tensorflow from source
3) Official Documentation
Steps Followed:
$ sudo apt-get install build-essential openjdk-8-jdk python zip
$ wget https://github.com/bazelbuild/bazel/releases/download/0.4.5/bazel-0.4.5-dist.zip
$ unzip -d bazel bazel-0.4.5-dist.zip
$ cd bazel
$ sudo ./compile.sh
Error Log:
ERROR: /build/bazel/src/main/protobuf/BUILD:25:2: Java compilation in rule '//src/main/protobuf:extra_actions_base_java_proto' failed: Worker process sent response with exit code: 1.
java.lang.InternalError: Cannot find requested resource bundle for locale en_US
at com.sun.tools.javac.util.JavacMessages.getBundles(JavacMessages.java:128)
at com.sun.tools.javac.util.JavacMessages.getLocalizedString(JavacMessages.java:147)
at com.sun.tools.javac.util.JavacMessages.getLocalizedString(JavacMessages.java:140)
at com.sun.tools.javac.util.Log.localize(Log.java:673)
at com.sun.tools.javac.util.Log.printLines(Log.java:485)
at com.sun.tools.javac.api.JavacTaskImpl.handleExceptions(JavacTaskImpl.java:156)
at com.sun.tools.javac.api.JavacTaskImpl.doCall(JavacTaskImpl.java:93)
at com.sun.tools.javac.api.JavacTaskImpl.call(JavacTaskImpl.java:87)
at com.google.devtools.build.buildjar.javac.BlazeJavacMain.compile(BlazeJavacMain.java:104)
at com.google.devtools.build.buildjar.SimpleJavaLibraryBuilder$1.invokeJavac(SimpleJavaLibraryBuilder.java:163)
at com.google.devtools.build.buildjar.ReducedClasspathJavaLibraryBuilder.compileSources(ReducedClasspathJavaLibraryBuilder.java:52)
at com.google.devtools.build.buildjar.SimpleJavaLibraryBuilder.compileJavaLibrary(SimpleJavaLibraryBuilder.java:166)
at com.google.devtools.build.buildjar.SimpleJavaLibraryBuilder.run(SimpleJavaLibraryBuilder.java:178)
at com.google.devtools.build.buildjar.BazelJavaBuilder.processRequest(BazelJavaBuilder.java:90)
at com.google.devtools.build.buildjar.BazelJavaBuilder.runPersistentWorker(BazelJavaBuilder.java:67)
at com.google.devtools.build.buildjar.BazelJavaBuilder.main(BazelJavaBuilder.java:44)
Caused by: java.util.MissingResourceException: Can't find bundle for base name com.google.errorprone.errors, locale en_US
at java.util.ResourceBundle.throwMissingResourceException(ResourceBundle.java:1573)
at java.util.ResourceBundle.getBundleImpl(ResourceBundle.java:1396)
at java.util.ResourceBundle.getBundle(ResourceBundle.java:854)
at com.sun.tools.javac.util.JavacMessages.lambda$add$0(JavacMessages.java:106)
at com.sun.tools.javac.util.JavacMessages.getBundles(JavacMessages.java:125)
... 15 more
Target //src:bazel failed to build
INFO: Elapsed time: 291.995s, Critical Path: 258.92s
ERROR: Could not build Bazel
To make sure the error is independent of the architecture, I have tried to build Bazel in x86_64 PC. Even there I am getting the same error. I have seen people created the similar issue in bazel github group, none solved.
Version 0.4.5 is very old. We just released 0.12.0, could you try that one?
I'm trying to convert my *.pb tensorflow model to coreML. I'm getting stuck on identifying my output node of my model.
In order to obtain my output node, I've attempted to build and run summarize_graph on my *.pb file, but running into issues. How do I build and run summarize_graph after downloading the source?
I've run the following command:
bazel build tensorflow/tools/graph_transforms:summarize_graph
bazel-bin/tensorflow/tools/graph_transforms/summarize_graph --in_graph=tensorflow_inception_graph.pb
and I get the following error:
INFO: Analysed 0 targets (0 packages loaded). INFO: Found 0 targets...
INFO: Elapsed time: 0.389s, Critical Path: 0.01s INFO: Build completed
successfully, 1 total action
bazel-bin/tensorflow/tools/graph_transforms/summarize_graph: No such
file or directory
After issuing the bazel command, a blank bazel-bin directory appears in the location I executed the command.
Note, summarize_graph didn't exist in my tensorflow installation. So I downloaded the source from github tensorflow/tools/graph_transforms and copied it into my tensorflow/tools/graph_transforms directory.
the directory contains the following:
BUILD README.md
init.py
init.pyc add_default_attributes.cc add_default_attributes_test.cc backports.cc backports_test.cc compare_graphs.cc
fake_quantize_training.cc fake_quantize_training_test.cc file_utils.cc
file_utils.h file_utils_test.cc flatten_atrous.cc
flatten_atrous_test.cc fold_batch_norms.cc fold_batch_norms_test.cc
fold_constants_lib.cc fold_constants_lib.h fold_constants_test.cc
fold_old_batch_norms.cc fold_old_batch_norms_test.cc
freeze_requantization_ranges.cc freeze_requantization_ranges_test.cc
fuse_convolutions.cc fuse_convolutions_test.cc insert_logging.cc
insert_logging_test.cc obfuscate_names.cc obfuscate_names_test.cc out
python quantize_nodes.cc quantize_nodes_test.cc quantize_weights.cc
quantize_weights_test.cc remove_attribute.cc remove_attribute_test.cc
remove_device.cc remove_device_test.cc remove_ema.cc
remove_ema_test.cc remove_nodes.cc remove_nodes_test.cc
rename_attribute.cc rename_attribute_test.cc rename_op.cc
rename_op_test.cc round_weights.cc round_weights_test.cc set_device.cc
set_device_test.cc sort_by_execution_order.cc
sort_by_execution_order_test.cc sparsify_gather.cc
sparsify_gather_test.cc strip_unused_nodes.cc
strip_unused_nodes_test.cc summarize_graph_main.cc transform_graph.cc
transform_graph.h transform_graph_main.cc transform_graph_test.cc
transform_utils.cc transform_utils.h transform_utils_test.cc
I'm on a macbook pro
Thanks!
In case anyone is running into the similar problem, I solved it.
Navigate to the root of the tensorflow source directory
cmd> ./configure
cmd> bazel build tensorflow/tools/graph_transforms:summarize_graph
(you may get an error about xcode; if so, run the following)
cmd> xcode-select -s /Applications/Xcode.app/Contents/Developer
cmd> bazel clean --expunge
cmd> bazel build tensorflow/tools/graph_transforms:summarize_graph
CentOS 7 walkthrough:
yum install epel-release
yum update
yum install patch
curl https://copr.fedorainfracloud.org/coprs/vbatts/bazel/repo/epel-7/vbatts-bazel-epel-7.repo -o /etc/yum.repos.d/vbatts-bazel-epel-7.repo
yum install bazel
curl -L -O https://github.com/tensorflow/tensorflow/archive/v1.8.0.tar.gz
cd tensorflow-1.8.0
./configure # interactive!
bazel build tensorflow/tools/graph_transforms:summarize_graph
bazel-bin/tensorflow/tools/graph_transforms/summarize_graph
Whenever I run any script using Tensor Flow, I get the following warnings:
The TensorFlow library wasn't compiled to use SSE instructions, but
these are available on your machine and could speed up CPU
computations
I tried to follow the method posted on this stack overflow post and entered the following command on the command line:
bazel build -c opt --copt=-mavx --copt=-mavx2 --copt=-mfma --copt=-mfpmath=both --copt=-msse4.2 --config=cuda -k //tensorflow/tools/pip_package:build_pip_package
However I get the following error
The 'build' command is only supported from within a workspace.
How do I solve this error and then make the tensor flow compile using SSE instructions
The Installing Tensorflow from Sources page explains the procedure pretty well, make sure you have all the requirements met before running the build step.
If you wish to automate the ./configure (tensorflow-cpu) step you can run the following command from TF's root directory:
# CPU default configuration
tensorflow/tools/ci_build/builds/configured CPU
and then run the build command with native optimization:
# build with native optimization
bazel build -c opt --copt=-march=native tensorflow/tools/pip_package:build_pip_package
Reading the tensorflow text summarization model it states "The results described below are based on model trained on multi-gpu and multi-machine settings. It has been simplified to run on only one machine for open source purpose."
Further in the guide this command is invoked :
bazel build -c opt --config=cuda textsum/...
Does this command not relate to cuda/gpu? Why is this command truncated?
This is a bazel command: --config=cuda means "use the CUDA build configuration (and generate GPU-compatible code)", and textsum/... means "all targets under the directory textsum" (i.e. the command isn't truncated and you should type the literal ... when entering the command).
I am trying to run the code in this tutorial.
When I try to run this command:
sudo bazel run -c opt tensorflow/models/rnn/translate/translate.py -- -- data_dir ../data/translate/
I get the following error:
...................
ERROR: Cannot run target //tensorflow/models/rnn/translate:translate.py: Not executable.
INFO: Elapsed time: 1.537s
ERROR: Build failed. Not running target.
Any ideas how to resolve?
It seems there are a lot of mistakes in the Tensorflow tutorial..
I was able to run it by removing the .py, and adding an extra -- before the options like:
bazel run -c opt tensorflow/models/rnn/translate/translate -- --data_dir /home/minsoo/tensorflowrnn/data
the directory part should be changed according to your system.
I ran it by going to the directory and running:
python translate.py