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@pkulzc pkulzc commented Mar 19, 2018

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pkulzc and others added 30 commits March 15, 2018 21:51
PiperOrigin-RevId: 188335318
The C API has improved shape inference over the original Python
code. This causes some previously-working conds to fail. Switching to smart_cond fixes this.

Another effect of the improved shape inference is that one of the
failures tested gets caught earlier, so I modified the test to reflect
this.

PiperOrigin-RevId: 188409792
Without this change, the event files might get corrupted when multiple evaluations are run in parallel.

PiperOrigin-RevId: 188502560
Replace with a string field fine_tune_checkpoint_type to train_config to provide extensibility. The fine_tune_checkpoint_type can currently take value of `detection`, `classification`, or others when the restore_map is overwritten.

PiperOrigin-RevId: 188518685
…rics to be computed in tensorflow using the tf.learn Estimator.

PiperOrigin-RevId: 188528485
…min_scale is always less than max_scale.

PiperOrigin-RevId: 189026868
…type isn't set.

PiperOrigin-RevId: 189052833
…names on tensorboard.

PiperOrigin-RevId: 189069837
…del) with batch_size >= 1.

PiperOrigin-RevId: 189117178
…N) in both training and eval so they can be compared on tensorboard.

Log localization and classification losses in evaluation.

PiperOrigin-RevId: 189189940
PiperOrigin-RevId: 189229327
…tection.data_decoders.tf_example_decoder.LookupTensor.

PiperOrigin-RevId: 189388556
pkulzc added 12 commits March 16, 2018 16:03
… the same name. Directly adding family suffix to the name gets rid of this problem.

2. Make sure the eval losses have the same name.

PiperOrigin-RevId: 189434618
…cope and set batchnorm is_training based on the value passed in the constructor.

PiperOrigin-RevId: 189460890
PiperOrigin-RevId: 189601955
… number of steps and cosine decay it.

PiperOrigin-RevId: 189606169
…tectures return the activations (end_points).

PiperOrigin-RevId: 189619301
…boxes being in absolute coordinates if scale_to_absolute=True.

PiperOrigin-RevId: 189641294
PiperOrigin-RevId: 189654520
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research/object_detection/ LGTM

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4 participants