Mask_RCNN
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matterport
Project dependencies may have API risk issues
Hi, In Mask_RCNN, inappropriate dependency versioning constraints can cause risks.
Below are the dependencies and version constraints that the project is using
numpy*
scipy*
Pillow*
cython*
matplotlib*
scikit-image*
tensorflow>=1.3.0
keras>=2.0.8
opencv-python*
h5py*
imgaug*
IPython[all]
The version constraint == will introduce the risk of dependency conflicts because the scope of dependencies is too strict. The version constraint No Upper Bound and * will introduce the risk of the missing API Error because the latest version of the dependencies may remove some APIs.
After further analysis, in this project, The version constraint of dependency keras can be changed to >=2.2.0,<=2.3.1.
The above modification suggestions can reduce the dependency conflicts as much as possible, and introduce the latest version as much as possible without calling Error in the projects.
The invocation of the current project includes all the following methods.
The calling methods from the keras
mnist.load_data saving.load_weights_from_hdf5_group_by_name saving.load_weights_from_hdf5_group keras.regularizers.l2
The calling methods from the all methods
gt_box.astype info.np.array.reshape len tf.device tf.reduce_sum self.random_shape overlaps_graph InferenceConfig config.DetectionTargetLayer tf.divide imgaug.augmenters.Fliplr model.compile tf.expand_dims time.time np.argsort x.mrcnn_mask_loss_graph.KL.Lambda tf.nn.top_k list self.auto_download np.around model_in.append masks2.shape.masks2.np.reshape.astype merged.append utils.resize_mask K.shape maskUtils.encode self.make_parallel h5py.File self.build dataset.load_image build_fpn_mask_graph color_splash gray.image.mask.np.where.astype layer_outputs.append tf.add_n pip.req.parse_requirements box_centers_x.box_centers_y.np.stack.reshape tf.where config.BACKBONE m.np.around.astype min x.parse_image_meta_graph.KL.Lambda self.compile chr set x_train.np.expand_dims.astype logging.exception iaa.Affine np.random.randint plt.title hasattr self.set_log_dir dataset.prepare next filter self.DetectionLayer.super.__init__ self.self.__class__.super.image_reference f.write model.get_imagenet_weights masked_image.astype self.checkpoint_path.replace skimage.io.imread n.KL.Concatenate bg_color.astype dataset_val.load_balloon tf.minimum plt.subplots ImportError compute_overlaps round K.int_shape scipy.ndimage.zoom KL.MaxPooling2D tf.identity num_classes.KL.Dense.KL.TimeDistributed KL.Input ratios.flatten random.choice coco.loadAnns tf.constant N.detections.astype image_id.astype self.inner_model.summary np.delete np.random.choice self.ParallelModel.super.summary DetectionTargetLayer plt.figure image.astype tf.cast saving.load_weights_from_hdf5_group array.max modellib.MaskRCNN config.COMPUTE_BACKBONE_SHAPE saving.load_weights_from_hdf5_group_by_name utils.compute_overlaps self.keras_model.metrics_tensors.append i.rois.astype annotations.values anchors.tf.Variable.KL.Lambda utils.box_refinement dataset_val.load_coco open self.DetectionTargetLayer.super.__init__ np.abs plt.ylabel x.mrcnn_bbox_loss_graph.KL.Lambda np.asfortranarray ImageDataGenerator np.stack self.config.NAME.lower rpn plt.xlabel np.fliplr os.path.dirname FileNotFoundError tf.reset_default_graph rle.flatten i.mask.astype tf.reduce_mean np.int32.rle.np.array.reshape cocoEval.accumulate coco.loadCats keras.callbacks.ModelCheckpoint CocoDataset name.split model.train m.sum zip_ref.extractall print self.random_image m.max keras.regularizers.l2 clean_name build_rpn_model build_detection_targets self.map_source_class_id outputs.keys np.argmax os.walk np.minimum num_classes.KL.Conv2D.KL.TimeDistributed images.astype model.summary tf.boolean_mask utils.unmold_mask tf.sets.set_intersection COCOeval plt.text KL.TimeDistributed KL.Add np.split K.not_equal mask.T.flatten re.fullmatch tf.pad utils.denorm_boxes self.keras_model.metrics_names.append iaa.OneOf rpn_class_loss_graph tf.log iaa.Flipud i.i.mask.copy parse_image_meta_graph tf.concat colorsys.hsv_to_rgb datagen.flow trim_zeros dataset_val.load_nucleus self.find_trainable_layer t.tf.shape.t.tf.reshape.KL.Lambda model.get_trainable_layers self.config.LOSS_WEIGHTS.get np.broadcast_to checked.append pred_match.np.cumsum.astype visualize.display_instances np.cumsum iaa.SomeOf np.zeros build_model K.switch cv2.VideoWriter box_widths.box_heights.np.stack.reshape K.mean getattr cv2.VideoCapture np.sqrt np.expand_dims vcapture.get boxes.astype image_info.update KL.Conv2DTranspose.KL.TimeDistributed KL.Lambda detect_and_color_splash original_image_shape.astype tf.Variable iaa.Multiply KL.Conv2DTranspose self.CocoDataset.super.load_mask np.where r.astype COCO KL.UpSampling2D setup KL.Conv2D.KL.TimeDistributed image_metas.append apply_mask tf.reshape i.overlaps.max tf.image.non_max_suppression compute_overlaps_masks map tf.split f.startswith urllib.request.urlopen np.logical_not Exception datetime.datetime tf.random_shuffle ax.set_xlim generate_random_rois self.config.WEIGHT_DECAY.keras.regularizers.l2 tf.abs skimage.color.gray2rgb smooth_l1_loss box_to_level.append scale.shift.boxes.np.divide.astype iaa.Fliplr os.path.abspath ax.set_ylim plt.axis num_classes.s.KL.Reshape self.set_trainable LooseVersion build_coco_results self.inner_model json.load clip_boxes_graph np.pad np.divide w.std trim_zeros_graph compute_ap np.multiply IPython.display.display matplotlib.use g.np.where.reshape display_images super np.any l.get_weights x.rpn_class_loss_graph.KL.Lambda OrderedDict self.__class__.super.image_reference block.stage.str.KL.Activation random.shuffle AP.append self.ParallelModel.super.__init__ ax.imshow array.min mask.astype use_bias.conv_name_base.kernel_size.kernel_size.nb_filter2.KL.Conv2D re.match args.model.lower compute_backbone_shapes tf.map_fn datetime.datetime.now image_shape.astype np.logical_and evaluate_coco f.endswith os.makedirs math.sin np.all itertools.product keras.callbacks.TensorBoard imgaug.HooksImages coco.loadRes s.i.name.input_slices.KL.Lambda name.KL.Concatenate clipped.set_shape tf.squeeze tf.nn.sparse_softmax_cross_entropy_with_logits class_keep.set_shape K.learning_phase mrcnn_mask_loss_graph Polygon table.append argparse.ArgumentParser logging.warning tf.size KM.Model np.dot ax.set_title bool outputs_all.append log2_graph dataset_train.load_balloon np.arange text.ljust self.get_anchors np.argwhere self.keras_model.fit_generator fpn_classifier_graph plt.savefig type utils.generate_pyramid_anchors log BalloonDataset dataset.get_source_class_id random_colors dataset_train.prepare masks1.shape.masks1.np.reshape.astype data_generator DetectionLayer resnet_graph dataset.load_mask model.fit_generator id.rois.astype KL.Activation build_rpn_targets K.function ax.text dataset.load_nucleus dataset_train.load_nucleus coco.imgs.keys np.log config.config.RPN_NMS_THRESHOLD.proposal_count.ProposalLayer np.reshape self.mold_inputs to_display.append plt.imshow BalloonConfig lines.append tf.shape math.radians self.keras_model.get_layer x.config.rpn_bbox_loss_graph.KL.Lambda instance_masks.append zip coco.getCatIds pick.append tf.range utils.compute_matches rle.split image.copy skimage.color.rgb2gray np.sort kf self.ancestor skimage.io.imsave plt.yticks mold_image cv2.VideoWriter_fourcc boxes.append model.load_weights utils.non_max_suppression pip.download.PipSession plt.xticks tf.greater max BatchNorm image_ids.extend identity_block self.PyramidROIAlign.super.__init__ CocoConfig use_bias.conv_name_base.nb_filter1.KL.Conv2D sys.path.append dataset_train.load_coco np.amax titles.append vwriter.write K.binary_crossentropy model.detect ax.add_line source.self.source_class_ids.append l.outputs_all.append pool_size.pool_size.fc_layers_size.KL.Conv2D.KL.TimeDistributed self.class_info.append scales.flatten np.copy plt.subplot mrcnn_class_loss_graph tf.sparse_tensor_to_dense windows.append self.annToRLE resize tf.cond inputs.extend compose_image_meta skimage.draw.polygon apply_box_deltas_graph tf.unique tf.stack ax.plot multiprocessing.cpu_count full_masks.append compute_iou coco.getImgIds dir overlaps.max K.cast np.unique np.round mask_to_rle results.extend num_classes.KL.Dense bn_name_base.BatchNorm config.display KL.Flatten str molded_images.append config.MEAN_PIXEL.normalized_images.astype self.self.__class__.super.load_mask K.abs maskUtils.decode x_test.np.expand_dims.astype callable conv_block vcapture.read tf.gather sorted mrcnn_bbox_loss_graph cv2.rectangle self.image_info.append norm_boxes_graph load_image_gt rpn_graph mask.reshape class_ids.append train np.random.shuffle K.reshape layer_regex.keys x.mrcnn_class_loss_graph.KL.Lambda tf.sqrt x.KL.Lambda self.add_class keras.optimizers.SGD parser.add_argument model.find_last join os.path.join maskUtils.frPyObjects tf.exp i.refined_boxes.astype class_ids.astype random.randint pip_ver.split AP.np.array.mean m.group np.uint32.image.astype.copy rle_encode threshold.mask.np.where.astype refine_detections_graph int outputs.append mnist.load_data tf.round tf.maximum outputs_np.items self.add_image box.astype utils.norm_boxes cv2.fillPoly KL.ZeroPadding2D display_table _parse_requirements tf.multiply PyramidROIAlign np.maximum plt.tight_layout tuple np.ones enumerate fc_layers_size.KL.Conv2D.KL.TimeDistributed config.TOP_DOWN_PYRAMID_SIZE.KL.Conv2D self.self.__class__.super.call shapes.append batch_pack_graph mask.np.logical_not.astype np.meshgrid re.compile KL.Activation.KL.TimeDistributed self.ProposalLayer.super.__init__ np.exp pool_size.pool_size.PyramidROIAlign BatchNorm.KL.TimeDistributed KL.Concatenate K.sparse_categorical_crossentropy utils.box_refinement_graph submission.append utils.extract_bboxes vwriter.release np.random.rand use_bias.conv_name_base.nb_filter3.KL.Conv2D mask.append range K.less tf.reduce_max anchor_stride.KL.Conv2D warnings.catch_warnings lines.Line2D ax.axis ParallelModel coco.getAnnIds find_contours NucleusInferenceConfig detect compute_matches self.CocoDataset.super.image_reference config.DetectionLayer scores.argsort det.augment_image self.keras_model.add_loss self.draw_shape tf.image.crop_and_resize anchors_per_location.KL.Conv2D results.append tf.equal warnings.simplefilter outputs.values tf.to_float window.astype math.ceil NucleusDataset dataset_val.prepare anchors.append utils.resize_image zipfile.ZipFile tf.logical_and get_file skimage.transform.resize KL.Conv2D utils.batch_slice layers.append maskUtils.merge np.concatenate rpn_bbox_loss_graph self.class_names.index f.close np.sum self.annToMask utils.compute_iou tf.argmax detection_targets_graph w.max use_bias.conv_name_base.strides.nb_filter1.KL.Conv2D display_instances gray.astype pkg_resources.get_distribution os.path.exists self.ParallelModel.super.__getattribute__ self.keras_model.compile NucleusConfig a.values generate_anchors tf.transpose parser.parse_args args.weights.lower cocoEval.evaluate f.mask_dir.os.path.join.skimage.io.imread.astype np.max IPython.display.HTML K.sum ax.add_patch iaa.GaussianBlur np.empty tf.Assert self.unmold_detections plt.show inputs.append name.replace cocoEval.summarize graph_fn K.squeeze scale.astype isinstance KL.Reshape pooled.append utils.minimize_mask x.K.squeeze.K.squeeze.KL.Lambda tf.stop_gradient cv2.circle active_class_ids.astype shutil.copyfileobj gt_w.gt_h.class_mask.utils.resize.np.round.astype w.min K.equal shift.scale.boxes.np.multiply.np.around.astype np.array tf.gather_nd KL.Dense tf.tile a.startswith utils.resize np.diff format tf.control_dependencies np.hstack patches.Rectangle tf.name_scope ProposalLayer outputs.extend name.outputs.len.o.tf.add_n.KL.Lambda utils.download_trained_weights instance_masks.np.stack.astype augmentation.to_deterministic input_image.K.shape.x.norm_boxes_graph.KL.Lambda use_bias.conv_name_base.strides.nb_filter3.KL.Conv2D self.keras_model.predict
@moorage Could please help me check this issue? May I pull a request to fix it? Thank you very much.
