- 13 5月, 2020 1 次提交
-
-
由 pkulzc 提交于
310447280 by lzc: Internal change 310420845 by Zhichao Lu: Open source the internal Context RCNN code. -- 310362339 by Zhichao Lu: Internal change 310259448 by lzc: Update required TF version for OD API. -- 310252159 by Zhichao Lu: Port patch_ops_test to TF1/TF2 as TPUs. -- 310247180 by Zhichao Lu: Ignore keypoint heatmap loss in the regions/bounding boxes with target keypoint class but no valid keypoint annotations. -- 310178294 by Zhichao Lu: Opensource MnasFPN https://arxiv.org/abs/1912.01106 -- 310094222 by lzc: Internal changes. -- 310085250 by lzc: Internal Change. -- 310016447 by huizhongc: Remove unrecognized classes from labeled_classes. -- 310009470 by rathodv: Mark batcher.py as TF1 only. -- 310001984 by rathodv: Update core/preprocessor.py to be compatible with TF1/TF2.. -- 309455035 by Zhichao Lu: Makes the freezable_batch_norm_test run w/ v2 behavior. The main change is in v2 updates will happen right away when running batchnorm in training mode. So, we need to restore the weights between batchnorm calls to make sure the numerical checks all start from the same place. -- 309425881 by Zhichao Lu: Make TF1/TF2 optimizer builder tests explicit. -- 309408646 by Zhichao Lu: Make dataset builder tests TF1 and TF2 compatible. -- 309246305 by Zhichao Lu: Added the functionality of combining the person keypoints and object detection annotations in the binary that converts the COCO raw data to TfRecord. -- 309125076 by Zhichao Lu: Convert target_assigner_utils to TF1/TF2. -- 308966359 by huizhongc: Support SSD training with partially labeled groundtruth. -- 308937159 by rathodv: Update core/target_assigner.py to be compatible with TF1/TF2. -- 308774302 by Zhichao Lu: Internal -- 308732860 by rathodv: Make core/prefetcher.py compatible with TF1 only. -- 308726984 by rathodv: Update core/multiclass_nms_test.py to be TF1/TF2 compatible. -- 308714718 by rathodv: Update core/region_similarity_calculator_test.py to be TF1/TF2 compatible. -- 308707960 by rathodv: Update core/minibatch_sampler_test.py to be TF1/TF2 compatible. -- 308700595 by rathodv: Update core/losses_test.py to be TF1/TF2 compatible and remove losses_test_v2.py -- 308361472 by rathodv: Update core/matcher_test.py to be TF1/TF2 compatible. -- 308335846 by Zhichao Lu: Updated the COCO evaluation logics and populated the groundturth area information through. This change matches the groundtruth format expected by the COCO keypoint evaluation. -- 308256924 by rathodv: Update core/keypoints_ops_test.py to be TF1/TF2 compatible. -- 308256826 by rathodv: Update class_agnostic_nms_test.py to be TF1/TF2 compatible. -- 308256112 by rathodv: Update box_list_ops_test.py to be TF1/TF2 compatible. -- 308159360 by Zhichao Lu: Internal change 308145008 by Zhichao Lu: Added 'image/class/confidence' field in the TFExample decoder. -- 307651875 by rathodv: Refactor core/box_list.py to support TF1/TF2. -- 307651798 by rathodv: Modify box_coder.py base class to work with with TF1/TF2 -- 307651652 by rathodv: Refactor core/balanced_positive_negative_sampler.py to support TF1/TF2. -- 307651571 by rathodv: Modify BoxCoders tests to use test_case:execute method to allow testing with TF1.X and TF2.X -- 307651480 by rathodv: Modify Matcher tests to use test_case:execute method to allow testing with TF1.X and TF2.X -- 307651409 by rathodv: Modify AnchorGenerator tests to use test_case:execute method to allow testing with TF1.X and TF2.X -- 307651314 by rathodv: Refactor model_builder to support TF1 or TF2 models based on TensorFlow version. -- 307092053 by Zhichao Lu: Use manager to save checkpoint. -- 307071352 by ronnyvotel: Fixing keypoint visibilities. Now by default, the visibility is marked True if the keypoint is labeled (regardless of whether it is visible or not). Also, if visibilities are not present in the dataset, they will be created based on whether the keypoint coordinates are finite (vis = True) or NaN (vis = False). -- 307069557 by Zhichao Lu: Internal change to add few fields related to postprocessing parameters in center_net.proto and populate those parameters to the keypoint postprocessing functions. -- 307012091 by Zhichao Lu: Make Adam Optimizer's epsilon proto configurable. Potential issue: tf.compat.v1's AdamOptimizer has a default epsilon on 1e-08 ([doc-link](https://www.tensorflow.org/api_docs/python/tf/compat/v1/train/AdamOptimizer)) whereas tf.keras's AdamOptimizer has default epsilon 1e-07 ([doc-link](https://www.tensorflow.org/api_docs/python/tf/keras/optimizers/Adam)) -- 306858598 by Zhichao Lu: Internal changes to update the CenterNet model: 1) Modified eval job loss computation to avoid averaging over batches with zero loss. 2) Updated CenterNet keypoint heatmap target assigner to apply box size to heatmap Guassian standard deviation. 3) Updated the CenterNet meta arch keypoint losses computation to apply weights outside of loss function. -- 306731223 by jonathanhuang: Internal change. -- 306549183 by rathodv: Internal Update. -- 306542930 by rathodv: Internal Update -- 306322697 by rathodv: Internal. -- 305345036 by Zhichao Lu: Adding COCO Camera Traps Json to tf.Example beam code -- 304104869 by lzc: Internal changes. -- 304068971 by jonathanhuang: Internal change. -- 304050469 by Zhichao Lu: Internal change. -- 303880642 by huizhongc: Support parsing partially labeled groundtruth. -- 303841743 by Zhichao Lu: Deprecate nms_on_host in SSDMetaArch. -- 303803204 by rathodv: Internal change. -- 303793895 by jonathanhuang: Internal change. -- 303467631 by rathodv: Py3 update for detection inference test. -- 303444542 by rathodv: Py3 update to metrics module -- 303421960 by rathodv: Update json_utils to python3. -- 302787583 by ronnyvotel: Coco results generator for submission to the coco test server. -- 302719091 by Zhichao Lu: Internal change to add the ResNet50 image feature extractor for CenterNet model. -- 302116230 by Zhichao Lu: Added the functions to overlay the heatmaps with images in visualization util library. -- 301888316 by Zhichao Lu: Fix checkpoint_filepath not defined error. -- 301840312 by ronnyvotel: Adding keypoint_scores to visualizations. -- 301683475 by ronnyvotel: Introducing the ability to preprocess `keypoint_visibilities`. Some data augmentation ops such as random crop can filter instances and keypoints. It's important to also filter keypoint visibilities, so that the groundtruth tensors are always in alignment. -- 301532344 by Zhichao Lu: Don't use tf.divide since "Quantization not yet supported for op: DIV" -- 301480348 by ronnyvotel: Introducing keypoint evaluation into model lib v2. Also, making some fixes to coco keypoint evaluation. -- 301454018 by Zhichao Lu: Added the image summary to visualize the train/eval input images and eval's prediction/groundtruth side-by-side image. -- 301317527 by Zhichao Lu: Updated the random_absolute_pad_image function in the preprocessor library to support the keypoints argument. -- 301300324 by Zhichao Lu: Apply name change(experimental_run_v2 -> run) for all callers in Tensorflow. -- 301297115 by ronnyvotel: Utility function for setting keypoint visibilities based on keypoint coordinates. -- 301248885 by Zhichao Lu: Allow MultiworkerMirroredStrategy(MWMS) use by adding checkpoint handling with temporary directories in model_lib_v2. Added missing WeakKeyDictionary cfer_fn_cache field in CollectiveAllReduceStrategyExtended. -- 301224559 by Zhichao Lu: ...1) Fixes model_lib to also use keypoints while preparing model groundtruth. ...2) Tests model_lib with newly added keypoint metrics config. -- 300836556 by Zhichao Lu: Internal changes to add keypoint estimation parameters in CenterNet proto. -- 300795208 by Zhichao Lu: Updated the eval_util library to populate the keypoint groundtruth to eval_dict. -- 299474766 by Zhichao Lu: ...Modifies eval_util to create Keypoint Evaluator objects when configured in eval config. -- 299453920 by Zhichao Lu: Add swish activation as a hyperperams option. -- 299240093 by ronnyvotel: Keypoint postprocessing for CenterNetMetaArch. -- 299176395 by Zhichao Lu: Internal change. -- 299135608 by Zhichao Lu: Internal changes to refactor the CenterNet model in preparation for keypoint estimation tasks. -- 298915482 by Zhichao Lu: Make dataset_builder aware of input_context for distributed training. -- 298713595 by Zhichao Lu: Handling data with negative size boxes. -- 298695964 by Zhichao Lu: Expose change_coordinate_frame as a config parameter; fix multiclass_scores optional field. -- 298492150 by Zhichao Lu: Rename optimizer_builder_test_v2.py -> optimizer_builder_v2_test.py -- 298476471 by Zhichao Lu: Internal changes to support CenterNet keypoint estimation. -- 298365851 by ronnyvotel: Fixing a bug where groundtruth_keypoint_weights were being padded with a dynamic dimension. -- 297843700 by Zhichao Lu: Internal change. -- 297706988 by lzc: Internal change. -- 297705287 by ronnyvotel: Creating the "snapping" behavior in CenterNet, where regressed keypoints are refined with updated candidate keypoints from a heatmap. -- 297700447 by Zhichao Lu: Improve checkpoint checking logic with TF2 loop. -- 297686094 by Zhichao Lu: Convert "import tensorflow as tf" to "import tensorflow.compat.v1". -- 297670468 by lzc: Internal change. -- 297241327 by Zhichao Lu: Convert "import tensorflow as tf" to "import tensorflow.compat.v1". -- 297205959 by Zhichao Lu: Internal changes to support refactored the centernet object detection target assigner into a separate library. -- 297143806 by Zhichao Lu: Convert "import tensorflow as tf" to "import tensorflow.compat.v1". -- 297129625 by Zhichao Lu: Explicitly replace "import tensorflow" with "tensorflow.compat.v1" for TF2.x migration -- 297117070 by Zhichao Lu: Explicitly replace "import tensorflow" with "tensorflow.compat.v1" for TF2.x migration -- 297030190 by Zhichao Lu: Add configuration options for visualizing keypoint edges -- 296359649 by Zhichao Lu: Support DepthwiseConv2dNative (of separable conv) in weight equalization loss. -- 296290582 by Zhichao Lu: Internal change. -- 296093857 by Zhichao Lu: Internal changes to add general target assigner utilities. -- 295975116 by Zhichao Lu: Fix visualize_boxes_and_labels_on_image_array to show max_boxes_to_draw correctly. -- 295819711 by Zhichao Lu: Adds a flag to visualize_boxes_and_labels_on_image_array to skip the drawing of axis aligned bounding boxes. -- 295811929 by Zhichao Lu: Keypoint support in random_square_crop_by_scale. -- 295788458 by rathodv: Remove unused checkpoint to reduce repo size on github -- 295787184 by Zhichao Lu: Enable visualization of edges between keypoints -- 295763508 by Zhichao Lu: [Context RCNN] Add an option to enable / disable cropping feature in the post process step in the meta archtecture. -- 295605344 by Zhichao Lu: internal change. -- 294926050 by ronnyvotel: Adding per-keypoint groundtruth weights. These weights are intended to be used as multipliers in a keypoint loss function. Groundtruth keypoint weights are constructed as follows: - Initialize the weight for each keypoint type based on user-specified weights in the input_reader proto - Mask out (i.e. make zero) all keypoint weights that are not visible. -- 294829061 by lzc: Internal change. -- 294566503 by Zhichao Lu: Changed internal CenterNet Model configuration. -- 294346662 by ronnyvotel: Using NaN values in keypoint coordinates that are not visible. -- 294333339 by Zhichao Lu: Change experimetna_distribute_dataset -> experimental_distribute_dataset_from_function -- 293928752 by Zhichao Lu: Internal change -- 293909384 by Zhichao Lu: Add capabilities to train 1024x1024 CenterNet models. -- 293637554 by ronnyvotel: Adding keypoint visibilities to TfExampleDecoder. -- 293501558 by lzc: Internal change. -- 293252851 by Zhichao Lu: Change tf.gfile.GFile to tf.io.gfile.GFile. -- 292730217 by Zhichao Lu: Internal change. -- 292456563 by lzc: Internal changes. -- 292355612 by Zhichao Lu: Use tf.gather and tf.scatter_nd instead of matrix ops. -- 292245265 by rathodv: Internal -- 291989323 by richardmunoz: Refactor out building a DataDecoder from building a tf.data.Dataset. -- 291950147 by Zhichao Lu: Flip bounding boxes in arbitrary shaped tensors. -- 291401052 by huizhongc: Fix multiscale grid anchor generator to allow fully convolutional inference. When exporting model with identity_resizer as image_resizer, there is an incorrect box offset on the detection results. We add the anchor offset to address this problem. -- 291298871 by Zhichao Lu: Py3 compatibility changes. -- 290957957 by Zhichao Lu: Hourglass feature extractor for CenterNet. -- 290564372 by Zhichao Lu: Internal change. -- 290155278 by rathodv: Remove Dataset Explorer. -- 290155153 by Zhichao Lu: Internal change -- 290122054 by Zhichao Lu: Unify the format in the faster_rcnn.proto -- 290116084 by Zhichao Lu: Deprecate tensorflow.contrib. -- 290100672 by Zhichao Lu: Update MobilenetV3 SSD candidates -- 289926392 by Zhichao Lu: Internal change -- 289553440 by Zhichao Lu: [Object Detection API] Fix the comments about the dimension of the rpn_box_encodings from 4-D to 3-D. -- 288994128 by lzc: Internal changes. -- 288942194 by lzc: Internal change. -- 288746124 by Zhichao Lu: Configurable channel mean/std. dev in CenterNet feature extractors. -- 288552509 by rathodv: Internal. -- 288541285 by rathodv: Internal update. -- 288396396 by Zhichao Lu: Make object detection import contrib explicitly -- 288255791 by rathodv: Internal -- 288078600 by Zhichao Lu: Fix model_lib_v2 test -- 287952244 by rathodv: Internal -- 287921774 by Zhichao Lu: internal change -- 287906173 by Zhichao Lu: internal change -- 287889407 by jonathanhuang: PY3 compatibility -- 287889042 by rathodv: Internal -- 287876178 by Zhichao Lu: Internal change. -- 287770490 by Zhichao Lu: Add CenterNet proto and builder -- 287694213 by Zhichao Lu: Support for running multiple steps per tf.function call. -- 287377183 by jonathanhuang: PY3 compatibility -- 287371344 by rathodv: Support loading keypoint labels and ids. -- 287368213 by rathodv: Add protos supporting keypoint evaluation. -- 286673200 by rathodv: dataset_tools PY3 migration -- 286635106 by Zhichao Lu: Update code for upcoming tf.contrib removal -- 286479439 by Zhichao Lu: Internal change -- 286311711 by Zhichao Lu: Skeleton of context model within TFODAPI -- 286005546 by Zhichao Lu: Fix Faster-RCNN training when using keep_aspect_ratio_resizer with pad_to_max_dimension -- 285906400 by derekjchow: Internal change -- 285822795 by Zhichao Lu: Add CenterNet meta arch target assigners. -- 285447238 by Zhichao Lu: Internal changes. -- 285016927 by Zhichao Lu: Make _dummy_computation a tf.function. This fixes breakage caused by cl/284256438 -- 284827274 by Zhichao Lu: Convert to python 3. -- 284645593 by rathodv: Internal change -- 284639893 by rathodv: Add missing documentation for keypoints in eval_util.py. -- 284323712 by Zhichao Lu: Internal changes. -- 284295290 by Zhichao Lu: Updating input config proto and dataset builder to include context fields Updating standard_fields and tf_example_decoder to include context features -- 284226821 by derekjchow: Update exporter. -- 284211030 by Zhichao Lu: API changes in CenterNet informed by the experiments with hourlgass network. -- 284190451 by Zhichao Lu: Add support for CenterNet losses in protos and builders. -- 284093961 by lzc: Internal changes. -- 284028174 by Zhichao Lu: Internal change -- 284014719 by derekjchow: Do not pad top_down feature maps unnecessarily. -- 284005765 by Zhichao Lu: Add new pad_to_multiple_resizer -- 283858233 by Zhichao Lu: Make target assigner work when under tf.function. -- 283836611 by Zhichao Lu: Make config getters more general. -- 283808990 by Zhichao Lu: Internal change -- 283754588 by Zhichao Lu: Internal changes. -- 282460301 by Zhichao Lu: Add ability to restore v2 style checkpoints. -- 281605842 by lzc: Add option to disable loss computation in OD API eval job. -- 280298212 by Zhichao Lu: Add backwards compatible change -- 280237857 by Zhichao Lu: internal change -- PiperOrigin-RevId: 310447280
-
- 08 3月, 2019 1 次提交
-
-
由 pkulzc 提交于
236813471 by lzc: Internal change. -- 236507310 by lzc: Fix preprocess.random_resize_method config type issue. The target height and width will be passed as "size" to tf.image.resize_images which only accepts integer. -- 236409989 by Zhichao Lu: Config export_to_tpu from function parameter instead of HParams for TPU inference. -- 236403186 by Zhichao Lu: Make graph file names optional arguments. -- 236237072 by Zhichao Lu: Minor bugfix for keyword args. -- 236209602 by Zhichao Lu: Add support for PartitionedVariable to get_variables_available_in_checkpoint. -- 235828658 by Zhichao Lu: Automatically stop evaluation jobs when training is finished. -- 235817964 by Zhichao Lu: Add an optional process_metrics_fn callback to eval_util, it gets called with evaluation results once each evaluation is complete. -- 235788721 by lzc: Fix yml file tf runtime version. -- 235262897 by Zhichao Lu: Add keypoint support to the random_pad_image preprocessor method. -- 235257380 by Zhichao Lu: Support InputDataFields.groundtruth_confidences in retain_groundtruth(), retain_groundtruth_with_positive_classes(), filter_groundtruth_with_crowd_boxes(), filter_groundtruth_with_nan_box_coordinates(), filter_unrecognized_classes(). -- 235109188 by Zhichao Lu: Fix bug in pad_input_data_to_static_shapes for num_additional_channels > 0; make color-specific data augmentation only touch RGB channels. -- 235045010 by Zhichao Lu: Don't slice class_predictions_with_background when add_background_class is false. -- 235026189 by lzc: Fix import in g3doc. -- 234863426 by Zhichao Lu: Added fixes in exporter to allow writing a checkpoint to a specified temporary directory. -- 234671886 by lzc: Internal Change. -- 234630803 by rathodv: Internal Change. -- 233985896 by Zhichao Lu: Add Neumann optimizer to object detection. -- 233560911 by Zhichao Lu: Add NAS-FPN object detection with Resnet and Mobilenet v2. -- 233513536 by Zhichao Lu: Export TPU compatible object detection model -- 233495772 by lzc: Internal change. -- 233453557 by Zhichao Lu: Create Keras-based SSD+MobilenetV1 for object detection. -- 233220074 by lzc: Update release notes date. -- 233165761 by Zhichao Lu: Support depth_multiplier and min_depth in _SSDResnetV1FpnFeatureExtractor. -- 233160046 by lzc: Internal change. -- 232926599 by Zhichao Lu: [tf.data] Switching tf.data functions to use `defun`, providing an escape hatch to continue using the legacy `Defun`. There are subtle differences between the implementation of `defun` and `Defun` (such as resources handling or control flow) and it is possible that input pipelines that use control flow or resources in their functions might be affected by this change. To migrate majority of existing pipelines to the recommended way of creating functions in TF 2.0 world, while allowing (a small number of) existing pipelines to continue relying on the deprecated behavior, this CL provides an escape hatch. If your input pipeline is affected by this CL, it should apply the escape hatch by replacing `foo.map(...)` with `foo.map_with_legacy_function(...)`. -- 232891621 by Zhichao Lu: Modify faster_rcnn meta architecture to normalize raw detections. -- 232875817 by Zhichao Lu: Make calibration a post-processing step. Specifically: - Move the calibration config from pipeline.proto --> post_processing.proto - Edit post_processing_builder.py to return a calibration function. If no calibration config is provided, it None. - Edit SSD and FasterRCNN meta architectures to optionally call the calibration function on detection scores after score conversion and before NMS. -- 232704481 by Zhichao Lu: Edit calibration builder to build a function that will be used within a detection model's `postprocess` method, after score conversion and before non-maxima suppression. Specific Edits: - The returned function now accepts class_predictions_with_background as its argument instead of detection_scores and detection_classes. - Class-specific calibration was temporarily removed, as it requires more significant refactoring. Will be added later. -- 232615379 by Zhichao Lu: Internal change -- 232483345 by ronnyvotel: Making the use of bfloat16 restricted to TPUs. -- 232399572 by Zhichao Lu: Edit calibration builder and proto to support class-agnostic calibration. Specifically: - Edit calibration protos to include path to relevant label map if required for class-specific calibration. Previously, label maps were inferred from other parts of the pipeline proto; this allows all information required by the builder stay within the calibration proto and remove extraneous information from being passed with class-agnostic calibration. - Add class-agnostic protos to the calibration config. Note that the proto supports sigmoid and linear interpolation parameters, but the builder currently only supports linear interpolation. -- 231613048 by Zhichao Lu: Add calibration builder for applying calibration transformations from output of object detection models. Specifically: - Add calibration proto to support sigmoid and isotonic regression (stepwise function) calibration. - Add a builder to support calibration from isotonic regression outputs. -- 231519786 by lzc: model_builder test refactor. - removed proto text boilerplate in each test case and let them call a create_default_proto function instead. - consolidated all separate ssd model creation tests into one. - consolidated all separate faster rcnn model creation tests into one. - used parameterized test for testing mask rcnn models and use_matmul_crop_and_resize - added all failures test. -- 231448169 by Zhichao Lu: Return static shape as a constant tensor. -- 231423126 by lzc: Add a release note for OID v4 models. -- 231401941 by Zhichao Lu: Adding correct labelmap for the models trained on Open Images V4 (*oid_v4 config suffix). -- 231320357 by Zhichao Lu: Add scope to Nearest Neighbor Resize op so that it stays in the same name scope as the original resize ops. -- 231257699 by Zhichao Lu: Switch to using preserve_aspect_ratio in tf.image.resize_images rather than using a custom implementation. -- 231247368 by rathodv: Internal change. -- 231004874 by lzc: Update documentations to use tf 1.12 for object detection API. -- 230999911 by rathodv: Use tf.batch_gather instead of ops.batch_gather -- 230999720 by huizhongc: Fix weight equalization test in ops_test. -- 230984728 by rathodv: Internal update. -- 230929019 by lzc: Add an option to replace preprocess operation with placeholder for ssd feature extractor. -- 230845266 by lzc: Require tensorflow version 1.12 for object detection API and rename keras_applications to keras_models -- 230392064 by lzc: Add RetinaNet 101 checkpoint trained on OID v4 to detection model zoo. -- 230014128 by derekjchow: This file was re-located below the tensorflow/lite/g3doc/convert -- 229941449 by lzc: Update SSD mobilenet v2 quantized model download path. -- 229843662 by lzc: Add an option to use native resize tf op in fpn top-down feature map generation. -- 229636034 by rathodv: Add deprecation notice to a few old parameters in train.proto -- 228959078 by derekjchow: Remove duplicate elif case in _check_and_convert_legacy_input_config_key -- 228749719 by rathodv: Minor refactoring to make exporter's `build_detection_graph` method public. -- 228573828 by rathodv: Mofity model.postprocess to return raw detections and raw scores. Modify, post-process methods in core/model.py and the meta architectures to export raw detection (without any non-max suppression) and raw multiclass score logits for those detections. -- 228420670 by Zhichao Lu: Add shims for custom architectures for object detection models. -- 228241692 by Zhichao Lu: Fix the comment on "losses_mask" in "Loss" class. -- 228223810 by Zhichao Lu: Support other_heads' predictions in WeightSharedConvolutionalBoxPredictor. Also remove a few unused parameters and fix a couple of comments in convolutional_box_predictor.py. -- 228200588 by Zhichao Lu: Add Expected Calibration Error and an evaluator that calculates the metric for object detections. -- 228167740 by lzc: Add option to use bounded activations in FPN top-down feature map generation. -- 227767700 by rathodv: Internal. -- 226295236 by Zhichao Lu: Add Open Image V4 Resnet101-FPN training config to third_party -- 226254842 by Zhichao Lu: Fix typo in documentation. -- 225833971 by Zhichao Lu: Option to have no resizer in object detection model. -- 225824890 by lzc: Fixes p3 compatibility for model_lib.py -- 225760897 by menglong: normalizer should be at least 1. -- 225559842 by menglong: Add extra logic filtering unrecognized classes. -- 225379421 by lzc: Add faster_rcnn_inception_resnet_v2_atrous_oid_v4 config to third_party -- 225368337 by Zhichao Lu: Add extra logic filtering unrecognized classes. -- 225341095 by Zhichao Lu: Adding Open Images V4 models to OD API model zoo and corresponding configs to the configs. -- 225218450 by menglong: Add extra logic filtering unrecognized classes. -- 225057591 by Zhichao Lu: Internal change. -- 224895417 by rathodv: Internal change. -- 224209282 by Zhichao Lu: Add two data augmentations to object detection: (1) Self-concat (2) Absolute pads. -- 224073762 by Zhichao Lu: Do not create tf.constant until _generate() is actually called in the object detector. -- PiperOrigin-RevId: 236813471
-
- 13 7月, 2018 1 次提交
-
-
由 pkulzc 提交于
* Merged commit includes the following changes: 204316992 by Zhichao Lu: Update docs to prepare inputs -- 204309254 by Zhichao Lu: Update running_pets.md to use new binaries and correct a few things in running_on_cloud.md -- 204306734 by Zhichao Lu: Move old binaries into legacy folder and add deprecation notice. -- 204267757 by Zhichao Lu: Fixing a problem in VRD evaluation with missing ground truth annotations for images that do not contain objects from 62 groundtruth classes. -- 204167430 by Zhichao Lu: This fixes a flaky losses test failure. -- 203670721 by Zhichao Lu: Internal change. -- 203569388 by Zhichao Lu: Internal change 203546580 by Zhichao Lu: * Expand TPU compatibility g3doc with config snippets * Change mscoco dataset path in sample configs to the sharded versions -- 203325694 by Zhichao Lu: Make merge_multiple_label_boxes work for model_main code path. -- 203305655 by Zhichao Lu: Remove the 1x1 conv layer before pooling in MobileNet-v1-PPN feature extractor. -- 203139608 by Zhichao Lu: - Support exponential_decay with burnin learning rate schedule. - Add the minimum learning rate option. - Make the exponential decay start only after the burnin steps. -- 203068703 by Zhichao Lu: Modify create_coco_tf_record.py to output sharded files. -- 203025308 by Zhichao Lu: Add an option to share the prediction tower in WeightSharedBoxPredictor. -- 203024942 by Zhichao Lu: Move ssd mobilenet v1 ppn configs to third party. -- 202901259 by Zhichao Lu: Delete obsolete ssd mobilenet v1 focal loss configs and update pets dataset path -- 202894154 by Zhichao Lu: Move all TPU compatible ssd mobilenet v1 coco14/pet configs to third party. -- 202861774 by Zhichao Lu: Move Retinanet (SSD + FPN + Shared box predictor) configs to third_party. -- PiperOrigin-RevId: 204316992 * Add original files back.
-
- 23 3月, 2018 1 次提交
-
-
由 pkulzc 提交于
* Force cast of num_classes to integer PiperOrigin-RevId: 188335318 * Updating config util to allow overwriting of cosine decay learning rates. PiperOrigin-RevId: 188338852 * Make box_list_ops.py and box_list_ops_test.py work with C API enabled. 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 * Fix parallel event file writing issue. Without this change, the event files might get corrupted when multiple evaluations are run in parallel. PiperOrigin-RevId: 188502560 * Deprecating the boolean flag of from_detection_checkpoint. 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 * Automated g4 rollback of changelist 188502560 PiperOrigin-RevId: 188519969 * Introducing eval metrics specs for Coco Mask metrics. This allows metrics to be computed in tensorflow using the tf.learn Estimator. PiperOrigin-RevId: 188528485 * Minor fix to make object_detection/metrics/coco_evaluation.py python3 compatible. PiperOrigin-RevId: 188550683 * Updating eval_util to handle eval_metric_ops from multiple `DetectionEvaluator`s. PiperOrigin-RevId: 188560474 * Allow tensor input for new_height and new_width for resize_image. PiperOrigin-RevId: 188561908 * Fix typo in fine_tune_checkpoint_type name in trainer. PiperOrigin-RevId: 188799033 * Adding mobilenet feature extractor to object detection. PiperOrigin-RevId: 188916897 * Allow label maps to optionally contain an explicit background class with id zero. PiperOrigin-RevId: 188951089 * Fix boundary conditions in random_pad_to_aspect_ratio to ensure that min_scale is always less than max_scale. PiperOrigin-RevId: 189026868 * Fallback on from_detection_checkpoint option if fine_tune_checkpoint_type isn't set. PiperOrigin-RevId: 189052833 * Add proper names for learning rate schedules so we don't see cryptic names on tensorboard. PiperOrigin-RevId: 189069837 * Enforcing that all datasets are batched (and then unbatched in the model) with batch_size >= 1. PiperOrigin-RevId: 189117178 * Adding regularization to total loss returned from DetectionModel.loss(). PiperOrigin-RevId: 189189123 * Standardize the names of loss scalars (for SSD, Faster R-CNN and R-FCN) in both training and eval so they can be compared on tensorboard. Log localization and classification losses in evaluation. PiperOrigin-RevId: 189189940 * Remove negative test from box list ops test. PiperOrigin-RevId: 189229327 * Add an option to warmup learning rate in manual stepping schedule. PiperOrigin-RevId: 189361039 * Replace tf.contrib.slim.tfexample_decoder.LookupTensor with object_detection.data_decoders.tf_example_decoder.LookupTensor. PiperOrigin-RevId: 189388556 * Force regularization summary variables under specific family names. PiperOrigin-RevId: 189393190 * Automated g4 rollback of changelist 188619139 PiperOrigin-RevId: 189396001 * Remove step 0 schedule since we do a hard check for it after cl/189361039 PiperOrigin-RevId: 189396697 * PiperOrigin-RevId: 189040463 * PiperOrigin-RevId: 189059229 * PiperOrigin-RevId: 189214402 * Force regularization summary variables under specific family names. PiperOrigin-RevId: 189393190 * Automated g4 rollback of changelist 188619139 PiperOrigin-RevId: 189396001 * Make slim python3 compatible. * Monir fixes. * Add TargetAssignment summaries in a separate family. PiperOrigin-RevId: 189407487 * 1. Setting `family` keyword arg prepends the summary names twice with 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 * Minor fixes to make object detection tf 1.4 compatible. PiperOrigin-RevId: 189437519 * Call the base of mobilenet_v1 feature extractor under the right arg scope and set batchnorm is_training based on the value passed in the constructor. PiperOrigin-RevId: 189460890 * Automated g4 rollback of changelist 188409792 PiperOrigin-RevId: 189463882 * Update object detection syncing. PiperOrigin-RevId: 189601955 * Add an option to warmup learning rate, hold it constant for a certain number of steps and cosine decay it. PiperOrigin-RevId: 189606169 * Let the proposal feature extractor function in faster_rcnn meta architectures return the activations (end_points). PiperOrigin-RevId: 189619301 * Fixed bug which caused masks to be mostly zeros (caused by detection_boxes being in absolute coordinates if scale_to_absolute=True. PiperOrigin-RevId: 189641294 * Open sourcing Mobilenetv2 + SSDLite. PiperOrigin-RevId: 189654520 * Remove unused files.
-
- 28 10月, 2017 1 次提交
-
-
由 Vivek Rathod 提交于
-
- 22 9月, 2017 1 次提交
-
-
由 Neal Wu 提交于
-
- 15 6月, 2017 1 次提交
-
-
由 derekjchow 提交于
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
-