-
Notifications
You must be signed in to change notification settings - Fork 45.4k
Internal changes to slim and object detection #4100
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Merged
Merged
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
PiperOrigin-RevId: 192813444
PiperOrigin-RevId: 192837477
PiperOrigin-RevId: 192850747
… predictor. PiperOrigin-RevId: 192922089
…ess. PiperOrigin-RevId: 193067658
PiperOrigin-RevId: 193087707
…ng an optional temperature (scaling) before softmax in support of distillation. PiperOrigin-RevId: 193119411
PiperOrigin-RevId: 193137342
…es encodings and class scores in weight shared conv box predictor. This allows us to set proper bias and force initial predictions to be background when using focal loss. PiperOrigin-RevId: 193204364
…h_ratio. PiperOrigin-RevId: 193228972
…nfig PiperOrigin-RevId: 193244778
…rather than a single image. PiperOrigin-RevId: 193382651
PiperOrigin-RevId: 193409179
PiperOrigin-RevId: 193576336
PiperOrigin-RevId: 193737238
PiperOrigin-RevId: 193959861
PiperOrigin-RevId: 193974479
Should be not the expand dim. PiperOrigin-RevId: 194122420
… to that directory and overwriting any existing logs there). PiperOrigin-RevId: 194292198
- Add is_training=None option to mobinenet arg_scopes. This allows the users to set is_training from an outer scope. PiperOrigin-RevId: 190997959
…rameter. This enables users to set the is_training parameter from an outer scope. PiperOrigin-RevId: 191611934
jch1
approved these changes
Apr 30, 2018
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Thanks Zhichao! Looks good on my side.
sguada
approved these changes
May 1, 2018
xueeinstein
added a commit
to xueeinstein/models
that referenced
this pull request
May 2, 2018
* 'master' of https://github.com/tensorflow/models: (404 commits) official/mnist: Updates with the release of TensorFlow 1.8. Internal changes to slim and object detection (tensorflow#4100) catch cpuinfo ImportError (tensorflow#4138) [samples/core/get_starter/eager]: Update with API simplifications in 1.8 Add vincentvanhoucke as owner for research/marco Add marco subdirectory to README.md Create request.json Create jpeg2json.py Fix width / height. Create README.md Add new import paths to mnist_tpu.py (tensorflow#4133) fix model call (tensorflow#4132) Remove useless fields in resnet_model (tensorflow#4110) official/mnist: Add input_shape parameter to initial layer (tensorflow#4104) (tensorflow#4118) Increase minimum TF version for DEFINE_enum and rename variable mappings for change to RNN variable names. (tensorflow#4123) fix import errors Minor update the resnet runloop. (tensorflow#4113) Two new plot-generating scripts and changes in support of the ICLR poster. (tensorflow#4092) Add export savedmodel to wide_deep (tensorflow#4041) Fix 2 typos ...
omegafragger
pushed a commit
to omegafragger/models
that referenced
this pull request
May 15, 2018
* Adding option for one_box_for_all_classes to the box_predictor PiperOrigin-RevId: 192813444 * Extend to accept different ratios of conv channels. PiperOrigin-RevId: 192837477 * Remove inaccurate caveat from proto file. PiperOrigin-RevId: 192850747 * Add option to set dropout for classification net in weight shared box predictor. PiperOrigin-RevId: 192922089 * fix flakiness in testSSDRandomCropWithMultiClassScores due to randomness. PiperOrigin-RevId: 193067658 * Post-process now works again in train mode. PiperOrigin-RevId: 193087707 * Adding support for reading in logits as groundtruth labels and applying an optional temperature (scaling) before softmax in support of distillation. PiperOrigin-RevId: 193119411 * Add a util function to visualize value histogram as a tf.summary.image. PiperOrigin-RevId: 193137342 * Do not add batch norm parameters to final conv2d ops that predict boxes encodings and class scores in weight shared conv box predictor. This allows us to set proper bias and force initial predictions to be background when using focal loss. PiperOrigin-RevId: 193204364 * Make sure the final layers are also resized proportional to conv_depth_ratio. PiperOrigin-RevId: 193228972 * Remove deprecated batch_norm_trainable field from ssd mobilenet v2 config PiperOrigin-RevId: 193244778 * Updating coco evaluation metrics to allow for a batch of image info, rather than a single image. PiperOrigin-RevId: 193382651 * Update protobuf requirements to 3+ in installation docs. PiperOrigin-RevId: 193409179 * Add support for training keypoints. PiperOrigin-RevId: 193576336 * Fix data augmentation functions. PiperOrigin-RevId: 193737238 * Read the default batch size from config file. PiperOrigin-RevId: 193959861 * Fixing a bug in the coco evaluator. PiperOrigin-RevId: 193974479 * num_gt_boxes_per_image and num_det_boxes_per_image value incorrect. Should be not the expand dim. PiperOrigin-RevId: 194122420 * Add option to evaluate any checkpoint (without requiring write access to that directory and overwriting any existing logs there). PiperOrigin-RevId: 194292198 * PiperOrigin-RevId: 190346687 * - Expose slim arg_scope function to compute keys to enable tessting. - Add is_training=None option to mobinenet arg_scopes. This allows the users to set is_training from an outer scope. PiperOrigin-RevId: 190997959 * Add an option to not set slim arg_scope for batch_norm is_training parameter. This enables users to set the is_training parameter from an outer scope. PiperOrigin-RevId: 191611934 * PiperOrigin-RevId: 191955231 * PiperOrigin-RevId: 193254125 * PiperOrigin-RevId: 193371562 * PiperOrigin-RevId: 194085628
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
No description provided.