- 13 5月, 2020 1 次提交
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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
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- 25 4月, 2020 3 次提交
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由 Ayman Saleh 提交于
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由 Aaron Jencks 提交于
It might seem redundant, but I followed this whole tutorial not knowing what <path-to-tensorflow> meant, and tried to install into the actual "tensorflow" package inside of my python installation.
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由 Gonzalo Gasca Meza 提交于
* Update directory path - Update directory path with Tensorflow directoy folder: tensorflow/models/research/ - Add option to refresh source ~/.bashrc * Update installation.md
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- 08 3月, 2019 1 次提交
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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
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- 02 11月, 2018 1 次提交
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由 pkulzc 提交于
* Internal change. PiperOrigin-RevId: 213914693 * Add original_image_spatial_shape tensor in input dictionary to store shape of the original input image PiperOrigin-RevId: 214018767 * Remove "groundtruth_confidences" from decoders use "groundtruth_weights" to indicate label confidence. This also solves a bug that only surfaced now - random crop routines in core/preprocessor.py did not correctly handle "groundtruth_weight" tensors returned by the decoders. PiperOrigin-RevId: 214091843 * Update CocoMaskEvaluator to allow for a batch of image info, rather than a single image. PiperOrigin-RevId: 214295305 * Adding the option to be able to summarize gradients. PiperOrigin-RevId: 214310875 * Adds FasterRCNN inference on CPU 1. Adds a flag use_static_shapes_for_eval to restrict to the ops that guarantees static shape. 2. No filtering of overlapping anchors while clipping the anchors when use_static_shapes_for_eval is set to True. 3. Adds test for faster_rcnn_meta_arch for predict and postprocess in inference mode for first and second stages. PiperOrigin-RevId: 214329565 * Fix model_lib eval_spec_names assignment (integer->string). PiperOrigin-RevId: 214335461 * Refactor Mask HEAD to optionally upsample after applying convolutions on ROI crops. PiperOrigin-RevId: 214338440 * Uses final_exporter_name as exporter_name for the first eval spec for backward compatibility. PiperOrigin-RevId: 214522032 * Add reshaped `mask_predictions` tensor to the prediction dictionary in `_predict_third_stage` method to allow computing mask loss in eval job. PiperOrigin-RevId: 214620716 * Add support for fully conv training to fpn. PiperOrigin-RevId: 214626274 * Fix the proprocess() function in Resnet v1 to make it work for any number of input channels. Note: If the #channels != 3, this will simply skip the mean subtraction in preprocess() function. PiperOrigin-RevId: 214635428 * Wrap result_dict_for_single_example in eval_util to run for batched examples. PiperOrigin-RevId: 214678514 * Adds PNASNet-based (ImageNet model) feature extractor for SSD. PiperOrigin-RevId: 214988331 * Update documentation PiperOrigin-RevId: 215243502 * Correct index used to compute number of groundtruth/detection boxes in COCOMaskEvaluator. Due to an incorrect indexing in cl/214295305 only the first detection mask and first groundtruth mask for a given image are fed to the COCO Mask evaluation library. Since groundtruth masks are arranged in no particular order, the first and highest scoring detection mask (detection masks are ordered by score) won't match the the first and only groundtruth retained in all cases. This is I think why mask evaluation metrics do not get better than ~11 mAP. Note that this code path is only active when using model_main.py binary for evaluation. This change fixes the indices and modifies an existing test case to cover it. PiperOrigin-RevId: 215275936 * Fixing grayscale_image_resizer to accept mask as input. PiperOrigin-RevId: 215345836 * Add an option not to clip groundtruth boxes during preprocessing. Clipping boxes adversely affects training for partially occluded or large objects, especially for fully conv models. Clipping already occurs during postprocessing, and should not occur during training. PiperOrigin-RevId: 215613379 * Always return recalls and precisions with length equal to the number of classes. The previous behavior of ObjectDetectionEvaluation was somewhat dangerous: when no groundtruth boxes were present, the lists of per-class precisions and recalls were simply truncated. Unless you were aware of this phenomenon (and consulted the `num_gt_instances_per_class` vector) it was difficult to associate each metric with each class. PiperOrigin-RevId: 215633711 * Expose the box feature node in SSD. PiperOrigin-RevId: 215653316 * Fix ssd mobilenet v2 _CONV_DEFS overwriting issue. PiperOrigin-RevId: 215654160 * More documentation updates PiperOrigin-RevId: 215656580 * Add pooling + residual option in multi_resolution_feature_maps. It adds an average pooling and a residual layer between feature maps with matching depth. Designed to be used with WeightSharedBoxPredictor. PiperOrigin-RevId: 215665619 * Only call create_modificed_mobilenet_config on init if use_depthwise is true. PiperOrigin-RevId: 215784290 * Only call create_modificed_mobilenet_config on init if use_depthwise is true. PiperOrigin-RevId: 215837524 * Don't prune keypoints if clip_boxes is false. PiperOrigin-RevId: 216187642 * Makes sure "key" field exists in the result dictionary. PiperOrigin-RevId: 216456543 * Add add_background_class parameter to allow disabling the inclusion of a background class. PiperOrigin-RevId: 216567612 * Update expected_classification_loss_under_sampling to better account for expected sampling. PiperOrigin-RevId: 216712287 * Let the evaluation receive a evaluation class in its constructor. PiperOrigin-RevId: 216769374 * This CL adds model building & training support for end-to-end Keras-based SSD models. If a Keras feature extractor's name is specified in the model config (e.g. 'ssd_mobilenet_v2_keras'), the model will use that feature extractor and a corresponding Keras-based box predictor. This CL makes sure regularization losses & batch norm updates work correctly when training models that have Keras-based components. It also updates the default hyperparameter settings of the keras-based mobilenetV2 (when not overriding hyperparams) to more closely match the legacy Slim training scope. PiperOrigin-RevId: 216938707 * Adding the ability in the coco evaluator to indicate whether an image has been annotated. For a non-annotated image, detections and groundtruth are not supplied. PiperOrigin-RevId: 217316342 * Release the 8k minival dataset ids for MSCOCO, used in Huang et al. "Speed/accuracy trade-offs for modern convolutional object detectors" (https://arxiv.org/abs/1611.10012) PiperOrigin-RevId: 217549353 * Exposes weighted_sigmoid_focal loss for faster rcnn classifier PiperOrigin-RevId: 217601740 * Add detection_features to output nodes. The shape of the feature is [batch_size, max_detections, depth]. PiperOrigin-RevId: 217629905 * FPN uses a custom NN resize op for TPU-compatibility. Replace this op with the Tensorflow version at export time for TFLite-compatibility. PiperOrigin-RevId: 217721184 * Compute `num_groundtruth_boxes` in inputs.tranform_input_data_fn after data augmentation instead of decoders. PiperOrigin-RevId: 217733432 * 1. Stop gradients from flowing into groundtruth masks with zero paddings. 2. Normalize pixelwise cross entropy loss across the whole batch. PiperOrigin-RevId: 217735114 * Optimize Input pipeline for Mask R-CNN on TPU with blfoat16: improve the step time from: 1663.6 ms -> 1184.2 ms, about 28.8% improvement. PiperOrigin-RevId: 217748833 * Fixes to export a TPU compatible model Adds nodes to each of the output tensor. Also increments the value of class labels by 1. PiperOrigin-RevId: 217856760 * API changes: - change the interface of target assigner to return per-class weights. - change the interface of classification loss to take per-class weights. PiperOrigin-RevId: 217968393 * Add an option to override pipeline config in export_saved_model using command line arg PiperOrigin-RevId: 218429292 * Include Quantized trained MobileNet V2 SSD and FaceSsd in model zoo. PiperOrigin-RevId: 218530947 * Write final config to disk in `train` mode only. PiperOrigin-RevId: 218735512
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- 01 10月, 2018 1 次提交
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由 Lili Jiang 提交于
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- 08 8月, 2018 1 次提交
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由 pkulzc 提交于
* Merged commit includes the following changes: 207771702 by Zhichao Lu: Refactoring evaluation utilities so that it is easier to introduce new DetectionEvaluators with eval_metric_ops. -- 207758641 by Zhichao Lu: Require tensorflow version 1.9+ for running object detection API. -- 207641470 by Zhichao Lu: Clip `num_groundtruth_boxes` in pad_input_data_to_static_shapes() to `max_num_boxes`. This prevents a scenario where tensors are sliced to an invalid range in model_lib.unstack_batch(). -- 207621728 by Zhichao Lu: This CL adds a FreezableBatchNorm that inherits from the Keras BatchNormalization layer, but supports freezing the `training` parameter at construction time instead of having to do it in the `call` method. It also adds a method to the `KerasLayerHyperparams` class that will build an appropriate FreezableBatchNorm layer according to the hyperparameter configuration. If batch_norm is disabled, this method returns and Identity layer. These will be used to simplify the conversion to Keras APIs. -- 207610524 by Zhichao Lu: Update anchor generators and box predictors for python3 compatibility. -- 207585122 by Zhichao Lu: Refactoring convolutional box predictor into separate prediction heads. -- 207549305 by Zhichao Lu: Pass all 1s for batch weights if nothing is specified in GT. -- 207336575 by Zhichao Lu: Move the new argument 'target_assigner_instance' to the end of the list of arguments to the ssd_meta_arch constructor for backwards compatibility. -- 207327862 by Zhichao Lu: Enable support for float output in quantized custom op for postprocessing in SSD Mobilenet model. -- 207323154 by Zhichao Lu: Bug fix: change dict.iteritems() to dict.items() -- 207301109 by Zhichao Lu: Integrating expected_classification_loss_under_sampling op as an option in the ssd_meta_arch -- 207286221 by Zhichao Lu: Adding an option to weight regression loss with foreground scores from the ground truth labels. -- 207231739 by Zhichao Lu: Explicitly mentioning the argument names when calling the batch target assigner. -- 207206356 by Zhichao Lu: Add include_trainable_variables field to train config to better handle trainable variables. -- 207135930 by Zhichao Lu: Internal change. -- 206862541 by Zhichao Lu: Do not unpad the outputs from batch_non_max_suppression before sampling. Since BalancedPositiveNegativeSampler takes an indicator for valid positions to sample from we can pass the output from NMS directly into Sampler. -- PiperOrigin-RevId: 207771702 * Remove unused doc.
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- 02 8月, 2018 1 次提交
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由 pkulzc 提交于
* Merged commit includes the following changes: 206852642 by Zhichao Lu: Build the balanced_positive_negative_sampler in the model builder for FasterRCNN. Also adds an option to use the static implementation of the sampler. -- 206803260 by Zhichao Lu: Fixes a misplaced argument in resnet fpn feature extractor. -- 206682736 by Zhichao Lu: This CL modifies the SSD meta architecture to support both Slim-based and Keras-based box predictors, and begins preparation for Keras box predictor support in the other meta architectures. Concretely, this CL adds a new `KerasBoxPredictor` base class and makes the meta architectures appropriately call whichever box predictors they are using. We can switch the non-ssd meta architectures to fully support Keras box predictors once the Keras Convolutional Box Predictor CL is submitted. -- 206669634 by Zhichao Lu: Adds an alternate method for balanced positive negative sampler using static shapes. -- 206643278 by Zhichao Lu: This CL adds a Keras layer hyperparameter configuration object to the hyperparams_builder. It automatically converts from Slim layer hyperparameter configs to Keras layer hyperparameters. Namely, it: - Builds Keras initializers/regularizers instead of Slim ones - sets weights_regularizer/initializer to kernel_regularizer/initializer - converts batchnorm decay to momentum - converts Slim l2 regularizer weights to the equivalent Keras l2 weights This will be used in the conversion of object detection feature extractors & box predictors to newer Tensorflow APIs. -- 206611681 by Zhichao Lu: Internal changes. -- 206591619 by Zhichao Lu: Clip the to shape when the input tensors are larger than the expected padded static shape -- 206517644 by Zhichao Lu: Make MultiscaleGridAnchorGenerator more consistent with MultipleGridAnchorGenerator. -- 206415624 by Zhichao Lu: Make the hardcoded feature pyramid network (FPN) levels configurable for both SSD Resnet and SSD Mobilenet. -- 206398204 by Zhichao Lu: This CL modifies the SSD meta architecture to support both Slim-based and Keras-based feature extractors. This allows us to begin the conversion of object detection to newer Tensorflow APIs. -- 206213448 by Zhichao Lu: Adding a method to compute the expected classification loss by background/foreground weighting. -- 206204232 by Zhichao Lu: Adding the keypoint head to the Mask RCNN pipeline. -- 206200352 by Zhichao Lu: - Create Faster R-CNN target assigner in the model builder. This allows configuring matchers in Target assigner to use TPU compatible ops (tf.gather in this case) without any change in meta architecture. - As a +ve side effect of the refactoring, we can now re-use a single target assigner for all of second stage heads in Faster R-CNN. -- 206178206 by Zhichao Lu: Force ssd feature extractor builder to use keyword arguments so values won't be passed to wrong arguments. -- 206168297 by Zhichao Lu: Updating exporter to use freeze_graph.freeze_graph_with_def_protos rather than a homegrown version. -- 206080748 by Zhichao Lu: Merge external contributions. -- 206074460 by Zhichao Lu: Update to preprocessor to apply temperature and softmax to the multiclass scores on read. -- 205960802 by Zhichao Lu: Fixing a bug in hierarchical label expansion script. -- 205944686 by Zhichao Lu: Update exporter to support exporting quantized model. -- 205912529 by Zhichao Lu: Add a two stage matcher to allow for thresholding by one criteria and then argmaxing on the other. -- 205909017 by Zhichao Lu: Add test for grayscale image_resizer -- 205892801 by Zhichao Lu: Add flag to decide whether to apply batch norm to conv layers of weight shared box predictor. -- 205824449 by Zhichao Lu: make sure that by default mask rcnn box predictor predicts 2 stages. -- 205730139 by Zhichao Lu: Updating warning message to be more explicit about variable size mismatch. -- 205696992 by Zhichao Lu: Remove utils/ops.py's dependency on core/box_list_ops.py. This will allow re-using TPU compatible ops from utils/ops.py in core/box_list_ops.py. -- 205696867 by Zhichao Lu: Refactoring mask rcnn predictor so have each head in a separate file. This CL lets us to add new heads more easily in the future to mask rcnn. -- 205492073 by Zhichao Lu: Refactor R-FCN box predictor to be TPU compliant. - Change utils/ops.py:position_sensitive_crop_regions to operate on single image and set of boxes without `box_ind` - Add a batch version that operations on batches of images and batches of boxes. - Refactor R-FCN box predictor to use the batched version of position sensitive crop regions. -- 205453567 by Zhichao Lu: Fix bug that cannot export inference graph when write_inference_graph flag is True. -- 205316039 by Zhichao Lu: Changing input tensor name. -- 205256307 by Zhichao Lu: Fix model zoo links for quantized model. -- 205164432 by Zhichao Lu: Fixes eval error when label map contains non-ascii characters. -- 205129842 by Zhichao Lu: Adds a option to clip the anchors to the window size without filtering the overlapped boxes in Faster-RCNN -- 205094863 by Zhichao Lu: Update to label map util to allow the option of adding a background class and fill in gaps in the label map. Useful for using multiclass scores which require a complete label map with explicit background label. -- 204989032 by Zhichao Lu: Add tf.prof support to exporter. -- 204825267 by Zhichao Lu: Modify mask rcnn box predictor tests for TPU compatibility. -- 204778749 by Zhichao Lu: Remove score filtering from postprocessing.py and rely on filtering logic in tf.image.non_max_suppression -- 204775818 by Zhichao Lu: Python3 fixes for object_detection. -- 204745920 by Zhichao Lu: Object Detection Dataset visualization tool (documentation). -- 204686993 by Zhichao Lu: Internal changes. -- 204559667 by Zhichao Lu: Refactor box_predictor.py into multiple files. The abstract base class remains in the object_detection/core, The other classes have moved to a separate file each in object_detection/predictors -- 204552847 by Zhichao Lu: Update blog post link. -- 204508028 by Zhichao Lu: Bump down the batch size to 1024 to be a bit more tolerant to OOM and double the number of iterations. This job still converges to 20.5 mAP in 3 hours. -- PiperOrigin-RevId: 206852642 * Add original post-processing back.
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- 21 7月, 2018 1 次提交
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由 sauercrowd 提交于
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- 13 7月, 2018 2 次提交
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由 sauercrowd 提交于
github-release, in case the distribution version is not working (or the user is not on an ubuntu system)
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由 sauercrowd 提交于
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- 02 7月, 2018 1 次提交
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由 pkulzc 提交于
* Merged commit includes the following changes: 202804536 by Zhichao Lu: Return tf.data.Dataset from input_fn that goes into the estimator and use PER_HOST_V2 option for tpu input pipeline config. This change shaves off 100ms per step resulting in 25 minutes of total reduced training time for ssd mobilenet v1 (15k steps to convergence). -- 202769340 by Zhichao Lu: Adding as_matrix() transformation for image-level labels. -- 202768721 by Zhichao Lu: Challenge evaluation protocol modification: adding labelmaps creation. -- 202750966 by Zhichao Lu: Add the explicit names to two output nodes. -- 202732783 by Zhichao Lu: Enforcing that batch size is 1 for evaluation, and no original images are retained during evaluation when use_tpu=False (to avoid dynamic shapes). -- 202425430 by Zhichao Lu: Refactor input pipeline to improve performance. -- 202406389 by Zhichao Lu: Only check the validity of `warmup_learning_rate` if it will be used. -- 202330450 by Zhichao Lu: Adding the description of the flag input_image_label_annotations_csv to add image-level labels to tf.Example. -- 202029012 by Zhichao Lu: Enabling displaying relationship name in the final metrics output. -- 202024010 by Zhichao Lu: Update to the public README. -- 201999677 by Zhichao Lu: Fixing the way negative labels are handled in VRD evaluation. -- 201962313 by Zhichao Lu: Fix a bug in resize_to_range. -- 201808488 by Zhichao Lu: Update ssd_inception_v2_pets.config to use right filename of pets dataset tf records. -- 201779225 by Zhichao Lu: Update object detection API installation doc -- 201766518 by Zhichao Lu: Add shell script to create pycocotools package for CMLE. -- 201722377 by Zhichao Lu: Removes verified_labels field and uses groundtruth_image_classes field instead. -- 201616819 by Zhichao Lu: Disable eval_on_tpu since eval_metrics is not setup to execute on TPU. Do not use run_config.task_type to switch tpu mode for EVAL, since that won't work in unit test. Expand unit test to verify that the same instantiation of the Estimator can independently disable eval on TPU whereas training is enabled on TPU. -- 201524716 by Zhichao Lu: Disable export model to TPU, inference is not compatible with TPU. Add GOOGLE_INTERNAL support in object detection copy.bara.sky -- 201453347 by Zhichao Lu: Fixing bug when evaluating the quantized model. -- 200795826 by Zhichao Lu: Fixing parsing bug: image-level labels are parsed as tuples instead of numpy array. -- 200746134 by Zhichao Lu: Adding image_class_text and image_class_label fields into tf_example_decoder.py -- 200743003 by Zhichao Lu: Changes to model_main.py and model_tpu_main to enable training and continuous eval. -- 200736324 by Zhichao Lu: Replace deprecated squeeze_dims argument. -- 200730072 by Zhichao Lu: Make detections only during predict and eval mode while creating model function -- 200729699 by Zhichao Lu: Minor correction to internal documentation (definition of Huber loss) -- 200727142 by Zhichao Lu: Add command line parsing as a set of flags using argparse and add header to the resulting file. -- 200726169 by Zhichao Lu: A tutorial on running evaluation for the Open Images Challenge 2018. -- 200665093 by Zhichao Lu: Cleanup on variables_helper_test.py. -- 200652145 by Zhichao Lu: Add an option to write (non-frozen) graph when exporting inference graph. -- 200573810 by Zhichao Lu: Update ssd_mobilenet_v1_coco and ssd_inception_v2_coco download links to point to a newer version. -- 200498014 by Zhichao Lu: Add test for groundtruth mask resizing. -- 200453245 by Zhichao Lu: Cleaning up exporting_models.md along with exporting scripts -- 200311747 by Zhichao Lu: Resize groundtruth mask to match the size of the original image. -- 200287269 by Zhichao Lu: Having a option to use custom MatMul based crop_and_resize op as an alternate to the TF op in Faster-RCNN -- 200127859 by Zhichao Lu: Updating the instructions to run locally with new binary. Also updating pets configs since file path naming has changed. -- 200127044 by Zhichao Lu: A simpler evaluation util to compute Open Images Challenge 2018 metric (object detection track). -- 200124019 by Zhichao Lu: Freshening up configuring_jobs.md -- 200086825 by Zhichao Lu: Make merge_multiple_label_boxes work for ssd model. -- 199843258 by Zhichao Lu: Allows inconsistent feature channels to be compatible with WeightSharedConvolutionalBoxPredictor. -- 199676082 by Zhichao Lu: Enable an override for `InputReader.shuffle` for object detection pipelines. -- 199599212 by Zhichao Lu: Markdown fixes. -- 199535432 by Zhichao Lu: Pass num_additional_channels to tf.example decoder in predict_input_fn. -- 199399439 by Zhichao Lu: Adding `num_additional_channels` field to specify how many additional channels to use in the model. -- PiperOrigin-RevId: 202804536 * Add original model builder and docs back.
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- 13 6月, 2018 1 次提交
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由 Will Ayd 提交于
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- 02 5月, 2018 1 次提交
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由 pkulzc 提交于
* 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
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- 03 4月, 2018 1 次提交
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由 Zhichao Lu 提交于
Cython is must installed package for building cocoapi. else the build will not initiate. PiperOrigin-RevId: 190553060
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- 21 3月, 2018 1 次提交
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由 Harshul jain 提交于
Cython is must installed package for building cocoapi. else the build will not initiate.
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- 04 3月, 2018 1 次提交
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由 Zhichao Lu 提交于
PiperOrigin-RevId: 187397387
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- 28 2月, 2018 1 次提交
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由 Zhichao Lu 提交于
187187978 by Zhichao Lu: Only updating hyperparameters if they have non-null values. -- 187097690 by Zhichao Lu: Rewrite some conditions a bit more clearly. -- 187085190 by Zhichao Lu: More informative error message. -- 186935376 by Zhichao Lu: Added option to evaluator.evaluate to use custom evaluator objects. -- 186808249 by Zhichao Lu: Fix documentation re: number of stages. -- 186775014 by Zhichao Lu: Change anchor generator interface to return a list of BoxLists containing anchors for different feature map layers. -- 186729028 by Zhichao Lu: Minor fixes to object detection. -- 186723716 by Zhichao Lu: Fix tf_example_decoder.py initailization issue. -- 186668505 by Zhichao Lu: Remove unused import. -- 186475361 by Zhichao Lu: Update the box predictor interface to return list of predictions - one from each feature map - instead of stacking them into one large tensor. -- 186410844 by Zhichao Lu: Fix PythonPath Dependencies. -- 186365384 by Zhichao Lu: Made some of the functions in exporter public so they can be reused. -- 186341438 by Zhichao Lu: Re-introducing check that label-map-path must be a valid (non-empty) string prior to overwriting pipeline config. -- 186036984 by Zhichao Lu: Adding default hyperparameters and allowing for overriding them via flags. -- 186026006 by Zhichao Lu: Strip `eval_` prefix from name argument give to TPUEstimator.evaluate since it adds the same prefix internally. -- 186016042 by Zhichao Lu: Add an option to evaluate models on training data. -- 185944986 by Zhichao Lu: let _update_label_map_path go through even if the path is empty -- 185860781 by Zhichao Lu: Add random normal initializer option to hyperparams builder. Scale the regression losses outside of the box encoder by adjusting huber loss delta and regression loss weight. -- 185846325 by Zhichao Lu: Add an option to normalize localization loss by the code size(number of box coordinates) in SSD Meta architecture. -- 185761217 by Zhichao Lu: Change multiscale_grid_anchor_generator to return anchors in normalized coordinates by default and add option to configure it. In SSD meta architecture, TargetAssigner operates in normalized coordinate space (i.e, groundtruth boxes are in normalized coordinates) hence we need the option to generate anchors in normalized coordinates. -- 185747733 by Zhichao Lu: Change the smooth L1 localization implementationt to use tf.losses.huber_loss and expose the delta parameter in the proto. -- 185715309 by Zhichao Lu: Obviates the need for prepadding on mobilenet v1 and v2 for fully convolutional models. -- 185685695 by Zhichao Lu: Fix manual stepping schedule to return first rate when there are no boundaries -- 185621650 by Zhichao Lu: Added target assigner proto for configuring negative class weights. -- PiperOrigin-RevId: 187187978
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- 14 2月, 2018 1 次提交
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由 Zhichao Lu 提交于
PiperOrigin-RevId: 185555440
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- 02 2月, 2018 1 次提交
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由 Siddhant Kapil 提交于
Add python-tk in dependency list
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- 18 11月, 2017 2 次提交
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由 Vivek Rathod 提交于
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由 Vivek Rathod 提交于
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- 09 11月, 2017 1 次提交
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由 Kwame Wright 提交于
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- 23 9月, 2017 1 次提交
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由 derekjchow 提交于
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- 22 9月, 2017 1 次提交
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由 Neal Wu 提交于
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- 29 7月, 2017 1 次提交
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由 Derek Chow 提交于
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- 15 6月, 2017 1 次提交
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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
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