GitLab

- Set spatial squeeze to true for resnets
- Make activations configurable for resnets
- Make batch norm configurable for resnets
- Fix some bad comment wrapping in vgg.py.

* We do this because we want rules outside of slim to be able to depend on it in order to pull in slim models.

Also fixes some typos in other scripts.

--logtostderr causes the following error: E tensorflow/examples/label_image/main.cc:319] Unknown argument --logtostderr

* Add export inference_graph

* Update Readme.md to include export_inference_graph

* make slim_walkthrough ipython notebook python3 compatible

* make slim_walkthrough ipython notebook python3 compatible

For details see our paper:
"Speed/accuracy trade-offs for modern convolutional object detectors."
Huang J, Rathod V, Sun C, Zhu M, Korattikara A, Fathi A, Fischer I,
Wojna Z, Song Y, Guadarrama S, Murphy K, CVPR 2017
https://arxiv.org/abs/1611.10012

Fix slow down with only 1 GPU

This patch assigns dequeue node to inputs_device. And nolonger shows
"Ignoring device specification /device:GPU:X for node
'clone_X/fifo_queue_Dequeue'" message.

- Add inception_resnet_v2_base
- Provide option to use SAME padding for all inception resnet v2
  layers. This is to align feature maps sizes.

Use a relative link instead

* MobileNet V1 commit

* updates to README

Corrected documentation word "cropt" -> "crop"

These scripts should exit immediately if a command exits with a non-zero status.

* Updated slim README.md to include links to ResNetv2 models.

* Change v1 to V1, v2 to V2, and other minor comments.

Variable summaries and the learning rate are added elsewhere in the
code.  A quick search also shows that this function is never called.

'xrange' was used in multiple places. In this setting it provided no measurable gain in terms of performance or memory, but broke python3 compatibility. It was replaced with 'range'