- OS - High Sierra 10.13
- Tensorflow - 1.4
- Xcode command line tools - 8.2 (Download from here: Xcode - Support - Apple Developer & Switch to different clang version: sudo xcode-select --switch/Library/Developer/CommandLineTools & check version: clang -v)
- Cmake - 3.7
- Bazel - 0.7.0
This is an Keras implementation of ResNet-101 with ImageNet pre-trained weights. I converted the weights from Caffe provided by the authors of the paper. The implementation supports both Theano and TensorFlow backends. Just in case you are curious about how the conversion is done, you can visit my blog post for more details.
ResNet Paper:
Deep Residual Learning for Image Recognition.
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
arXiv:1512.03385
This is a fork of @mikepurvis original ROS indigo installation notes. I tried to find a straightforward way to keep the system Python throughout the build. I ran into some well known issues while building rviz and had to extend the header exclusions for moc a bit more.
-p #
(parallel jobs)catkin build pkg_name
to build a certain package with dependencies--start-with pkg_name
skip dependencies up to a certain package- the two above combined allow for a quick retry if one package keeps failing