o eޫ@sdZddlmZmZmZddlZddlZddlm Z ddlm Z ddlm Z d Zgd Zed gd Zd dZddZGdddeZGdddeZGdddeZGdddeZdS)z@Classes representing batches of normalized or unnormalized data.)print_functiondivisionabsolute_importN)imgaug) normalization)utilsDEFAULTimagesheatmapssegmentation_maps keypointsbounding_boxespolygons line_strings_AugmentableColumn)namevalue attr_namecCsddt||DS)NcSg|]}|jqS)r).0columnrrKD:\Projects\ConvertPro\env\Lib\site-packages\imgaug/augmentables/batches.py s z%_get_column_names.. _get_columns)batchpostfixrrr_get_column_namessr!cCsNg}tD] }||}t|||}|dur$t|dkr$|t|||q|S)Nr)_AUGMENTABLE_NAMESgetattrlenappendr)rr resultrrrrrrrsrc@s@eZdZdZ   d ddZddZddZd d Zd d ZdS)UnnormalizedBatcha Class for batches of unnormalized data before and after augmentation. Parameters ---------- images : None or (N,H,W,C) ndarray or (N,H,W) ndarray or iterable of (H,W,C) ndarray or iterable of (H,W) ndarray The images to augment. heatmaps : None or (N,H,W,C) ndarray or imgaug.augmentables.heatmaps.HeatmapsOnImage or iterable of (H,W,C) ndarray or iterable of imgaug.augmentables.heatmaps.HeatmapsOnImage The heatmaps to augment. If anything else than ``HeatmapsOnImage``, then the number of heatmaps must match the number of images provided via parameter `images`. The number is contained either in ``N`` or the first iterable's size. segmentation_maps : None or (N,H,W) ndarray or imgaug.augmentables.segmaps.SegmentationMapsOnImage or iterable of (H,W) ndarray or iterable of imgaug.augmentables.segmaps.SegmentationMapsOnImage The segmentation maps to augment. If anything else than ``SegmentationMapsOnImage``, then the number of segmaps must match the number of images provided via parameter `images`. The number is contained either in ``N`` or the first iterable's size. keypoints : None or list of (N,K,2) ndarray or tuple of number or imgaug.augmentables.kps.Keypoint or iterable of (K,2) ndarray or iterable of tuple of number or iterable of imgaug.augmentables.kps.Keypoint or iterable of imgaug.augmentables.kps.KeypointOnImage or iterable of iterable of tuple of number or iterable of iterable of imgaug.augmentables.kps.Keypoint The keypoints to augment. If a tuple (or iterable(s) of tuple), then iterpreted as (x,y) coordinates and must hence contain two numbers. A single tuple represents a single coordinate on one image, an iterable of tuples the coordinates on one image and an iterable of iterable of tuples the coordinates on several images. Analogous if ``Keypoint`` objects are used instead of tuples. If an ndarray, then ``N`` denotes the number of images and ``K`` the number of keypoints on each image. If anything else than ``KeypointsOnImage`` is provided, then the number of keypoint groups must match the number of images provided via parameter `images`. The number is contained e.g. in ``N`` or in case of "iterable of iterable of tuples" in the first iterable's size. bounding_boxes : None or (N,B,4) ndarray or tuple of number or imgaug.augmentables.bbs.BoundingBox or imgaug.augmentables.bbs.BoundingBoxesOnImage or iterable of (B,4) ndarray or iterable of tuple of number or iterable of imgaug.augmentables.bbs.BoundingBox or iterable of imgaug.augmentables.bbs.BoundingBoxesOnImage or iterable of iterable of tuple of number or iterable of iterable imgaug.augmentables.bbs.BoundingBox The bounding boxes to augment. This is analogous to the `keypoints` parameter. However, each tuple -- and also the last index in case of arrays -- has size 4, denoting the bounding box coordinates ``x1``, ``y1``, ``x2`` and ``y2``. polygons : None or (N,#polys,#points,2) ndarray or imgaug.augmentables.polys.Polygon or imgaug.augmentables.polys.PolygonsOnImage or iterable of (#polys,#points,2) ndarray or iterable of tuple of number or iterable of imgaug.augmentables.kps.Keypoint or iterable of imgaug.augmentables.polys.Polygon or iterable of imgaug.augmentables.polys.PolygonsOnImage or iterable of iterable of (#points,2) ndarray or iterable of iterable of tuple of number or iterable of iterable of imgaug.augmentables.kps.Keypoint or iterable of iterable of imgaug.augmentables.polys.Polygon or iterable of iterable of iterable of tuple of number or iterable of iterable of iterable of tuple of imgaug.augmentables.kps.Keypoint The polygons to augment. This is similar to the `keypoints` parameter. However, each polygon may be made up of several ``(x,y)`` coordinates (three or more are required for valid polygons). The following datatypes will be interpreted as a single polygon on a single image: * ``imgaug.augmentables.polys.Polygon`` * ``iterable of tuple of number`` * ``iterable of imgaug.augmentables.kps.Keypoint`` The following datatypes will be interpreted as multiple polygons on a single image: * ``imgaug.augmentables.polys.PolygonsOnImage`` * ``iterable of imgaug.augmentables.polys.Polygon`` * ``iterable of iterable of tuple of number`` * ``iterable of iterable of imgaug.augmentables.kps.Keypoint`` * ``iterable of iterable of imgaug.augmentables.polys.Polygon`` The following datatypes will be interpreted as multiple polygons on multiple images: * ``(N,#polys,#points,2) ndarray`` * ``iterable of (#polys,#points,2) ndarray`` * ``iterable of iterable of (#points,2) ndarray`` * ``iterable of iterable of iterable of tuple of number`` * ``iterable of iterable of iterable of tuple of imgaug.augmentables.kps.Keypoint`` line_strings : None or (N,#lines,#points,2) ndarray or imgaug.augmentables.lines.LineString or imgaug.augmentables.lines.LineStringOnImage or iterable of (#lines,#points,2) ndarray or iterable of tuple of number or iterable of imgaug.augmentables.kps.Keypoint or iterable of imgaug.augmentables.lines.LineString or iterable of imgaug.augmentables.lines.LineStringOnImage or iterable of iterable of (#points,2) ndarray or iterable of iterable of tuple of number or iterable of iterable of imgaug.augmentables.kps.Keypoint or iterable of iterable of imgaug.augmentables.polys.LineString or iterable of iterable of iterable of tuple of number or iterable of iterable of iterable of tuple of imgaug.augmentables.kps.Keypoint The line strings to augment. See `polygons` for more details as polygons follow a similar structure to line strings. data Additional data that is saved in the batch and may be read out after augmentation. This could e.g. contain filepaths to each image in `images`. As this object is usually used for background augmentation with multiple processes, the augmented Batch objects might not be returned in the original order, making this information useful. Nc C^||_d|_||_d|_||_d|_||_d|_||_d|_ ||_ d|_ ||_ d|_ ||_dS)z4Construct a new :class:`UnnormalizedBatch` instance.N images_unaug images_augheatmaps_unaug heatmaps_augsegmentation_maps_unaugsegmentation_maps_augkeypoints_unaug keypoints_augbounding_boxes_unaugbounding_boxes_augpolygons_unaug polygons_augline_strings_unaugline_strings_augdata selfr r rrrrrr8rrr__init__ zUnnormalizedBatch.__init__cC t|dSGet the names of types of augmentables that contain data. This method is intended for situations where one wants to know which data is contained in the batch that has to be augmented, visualized or something similar. Added in 0.4.0. Returns ------- list of str Names of types of augmentables. E.g. ``["images", "polygons"]``. Z_unaugr!r:rrrget_column_names z"UnnormalizedBatch.get_column_namesc Cstdd|jD}|sJdt|j}d}|dur%dd|D}t|t|j|t |j |t |j |t |j|t|j|t|j||jdS)aConvert this unnormalized batch to an instance of Batch. As this method is intended to be called before augmentation, it assumes that none of the ``*_aug`` attributes is yet set. It will produce an AssertionError otherwise. The newly created Batch's ``*_unaug`` attributes will match the ones in this batch, just in normalized form. Returns ------- imgaug.augmentables.batches.Batch The batch, with ``*_unaug`` attributes being normalized. cSs"g|] \}}|dr|duqS)Z_augN)endswith)rrattrrrrrs z9UnnormalizedBatch.to_normalized_batch..zExpected UnnormalizedBatch to not contain any augmented data before normalization, but at least one '*_aug' attribute was already set.NcSrrshaperimagerrrrr r rrrrrr8)all__dict__itemsnlibZnormalize_imagesr*BatchZnormalize_heatmapsr,Znormalize_segmentation_mapsr.Znormalize_keypointsr0Znormalize_bounding_boxesr2Znormalize_polygonsr4Znormalize_line_stringsr6r8)r:Zcontains_no_augmented_data_yetr*shapesrrrto_normalized_batchs@ z%UnnormalizedBatch.to_normalized_batchcCst|j|j|_t|j|j|_t|j|j |_t |j |j |_ t |j|j|_t|j|j|_t|j|j|_|S)aF Fill this batch with (normalized) augmentation results in-place. This method receives a (normalized) Batch instance, takes all ``*_aug`` attributes out if it and assigns them to this batch *in unnormalized form*. Hence, the datatypes of all ``*_aug`` attributes will match the datatypes of the ``*_unaug`` attributes. Added in 0.4.0. Parameters ---------- batch_aug_norm: imgaug.augmentables.batches.Batch Batch after normalization and augmentation. Returns ------- imgaug.augmentables.batches.UnnormalizedBatch This instance itself. All ``*_unaug`` attributes are unchanged. All ``*_aug`` attributes are taken from `batch_normalized`, converted to unnormalized form. )rOinvert_normalize_imagesr+r*invert_normalize_heatmapsr-r,"invert_normalize_segmentation_mapsr/r.invert_normalize_keypointsr1r0invert_normalize_bounding_boxesr3r2invert_normalize_polygonsr5r4invert_normalize_line_stringsr7r6)r:batch_aug_normrrr%fill_from_augmented_normalized_batch_s,z7UnnormalizedBatch.fill_from_augmented_normalized_batch_c Cst|j|j|j|j|j|j|j|jd}t |j |j|_ t |j |j|_ t |j|j|_t |j|j|_t |j|j|_t |j|j|_t |j|j|_|S)ag Fill this batch with (normalized) augmentation results. This method receives a (normalized) Batch instance, takes all ``*_aug`` attributes out if it and assigns them to this batch *in unnormalized form*. Hence, the datatypes of all ``*_aug`` attributes will match the datatypes of the ``*_unaug`` attributes. Parameters ---------- batch_aug_norm: imgaug.augmentables.batches.Batch Batch after normalization and augmentation. Returns ------- imgaug.augmentables.batches.UnnormalizedBatch New UnnormalizedBatch instance. All ``*_unaug`` attributes are taken from the old UnnormalizedBatch (without deepcopying them) and all ``*_aug`` attributes are taken from `batch_normalized`, converted to unnormalized form. rK)r'r*r,r.r0r2r4r6r8rOrSr+rTr-rUr/rVr1rWr3rXr5rYr7)r:rZrrrr$fill_from_augmented_normalized_batchs@ z6UnnormalizedBatch.fill_from_augmented_normalized_batchNNNNNNNN) __name__ __module__ __qualname____doc__r;rBrRr[r\rrrrr'-sW 0 )r'c@seZdZdZ   dddZeedddZeedd d Z eed d d Z eedddZ eedddZ ddZ ddZddZddZeeeeeeeeeeeeeefddZdS)rPa Class encapsulating a batch before and after augmentation. Parameters ---------- images : None or (N,H,W,C) ndarray or list of (H,W,C) ndarray The images to augment. heatmaps : None or list of imgaug.augmentables.heatmaps.HeatmapsOnImage The heatmaps to augment. segmentation_maps : None or list of imgaug.augmentables.segmaps.SegmentationMapsOnImage The segmentation maps to augment. keypoints : None or list of imgaug.augmentables.kps.KeypointOnImage The keypoints to augment. bounding_boxes : None or list of imgaug.augmentables.bbs.BoundingBoxesOnImage The bounding boxes to augment. polygons : None or list of imgaug.augmentables.polys.PolygonsOnImage The polygons to augment. line_strings : None or list of imgaug.augmentables.lines.LineStringsOnImage The line strings to augment. data Additional data that is saved in the batch and may be read out after augmentation. This could e.g. contain filepaths to each image in `images`. As this object is usually used for background augmentation with multiple processes, the augmented Batch objects might not be returned in the original order, making this information useful. Nc Cr()z(Construct a new :class:`Batch` instance.Nr)r9rrrr;^r<zBatch.__init__zBatch.images_unaugcC|jS)zGet unaugmented images.)r*rArrrr rz Batch.imageszBatch.heatmaps_unaugcCrb)zGet unaugmented heatmaps.)r,rArrrr xrczBatch.heatmapszBatch.segmentation_maps_unaugcCrb)z"Get unaugmented segmentation maps.)r.rArrrr~rczBatch.segmentation_mapszBatch.keypoints_unaugcCrb)zGet unaugmented keypoints.)r0rArrrrrczBatch.keypointszBatch.bounding_boxes_unaugcCrb)zGet unaugmented bounding boxes.)r2rArrrrrczBatch.bounding_boxescCr=r>r@rArrrrBrCzBatch.get_column_namescC|S)a6Return this batch. This method does nothing and only exists to simplify interfaces that accept both :class:`UnnormalizedBatch` and :class:`Batch`. Added in 0.4.0. Returns ------- imgaug.augmentables.batches.Batch This batch (not copied). rrArrrrRzBatch.to_normalized_batchc CsHdd}t||j||j||j||j||j||j||jdS)zConvert this batch to a :class:`_BatchInAugmentation` instance. Added in 0.4.0. Returns ------- imgaug.augmentables.batches._BatchInAugmentation The converted batch. cSs|dur t|S|SN)r copy_augmentables)varrrr_copys z-Batch.to_batch_in_augmentation.._copyr )_BatchInAugmentationr*r,r.r0r2r4r6)r:rirrrto_batch_in_augmentations zBatch.to_batch_in_augmentationcCs<|j|_|j|_|j|_|j|_|j|_ |j |_ |j |_ |S)aSet the columns in this batch to the column values of another batch. This method works in-place. Added in 0.4.0. Parameters ---------- batch_in_augmentation : _BatchInAugmentation Batch of which to use the column values. The values are *not* copied. Only their references are used. Returns ------- Batch The updated batch. (Modified in-place.) )r r+r r-rr/rr1rr3rr5rr7r:Zbatch_in_augmentationrrr fill_from_batch_in_augmentation_sz&Batch.fill_from_batch_in_augmentation_c Csdd}t||j|||j|||j|||j|||j| ||j| ||j| t |j d}||j ||_ ||j ||_ ||j ||_ ||j||_||j| |_||j| |_||j||_|S)aCopy this batch and all of its column values. Parameters ---------- images_unaug : imgaug.augmentables.batches.DEFAULT or None or (N,H,W,C) ndarray or list of (H,W,C) ndarray Copies the current attribute value without changes if set to ``imgaug.augmentables.batches.DEFAULT``. Otherwise same as in :func:`Batch.__init__`. images_aug : imgaug.augmentables.batches.DEFAULT or None or (N,H,W,C) ndarray or list of (H,W,C) ndarray Copies the current attribute value without changes if set to ``imgaug.augmentables.batches.DEFAULT``. Otherwise same as in :func:`Batch.__init__`. heatmaps_unaug : imgaug.augmentables.batches.DEFAULT or None or list of imgaug.augmentables.heatmaps.HeatmapsOnImage Copies the current attribute value without changes if set to ``imgaug.augmentables.batches.DEFAULT``. Otherwise same as in :func:`Batch.__init__`. heatmaps_aug : imgaug.augmentables.batches.DEFAULT or None or list of imgaug.augmentables.heatmaps.HeatmapsOnImage Copies the current attribute value without changes if set to ``imgaug.augmentables.batches.DEFAULT``. Otherwise same as in :func:`Batch.__init__`. segmentation_maps_unaug : imgaug.augmentables.batches.DEFAULT or None or list of imgaug.augmentables.segmaps.SegmentationMapsOnImage Copies the current attribute value without changes if set to ``imgaug.augmentables.batches.DEFAULT``. Otherwise same as in :func:`Batch.__init__`. segmentation_maps_aug : imgaug.augmentables.batches.DEFAULT or None or list of imgaug.augmentables.segmaps.SegmentationMapsOnImage Copies the current attribute value without changes if set to ``imgaug.augmentables.batches.DEFAULT``. Otherwise same as in :func:`Batch.__init__`. keypoints_unaug : imgaug.augmentables.batches.DEFAULT or None or list of imgaug.augmentables.kps.KeypointOnImage Copies the current attribute value without changes if set to ``imgaug.augmentables.batches.DEFAULT``. Otherwise same as in :func:`Batch.__init__`. keypoints_aug : imgaug.augmentables.batches.DEFAULT or None or list of imgaug.augmentables.kps.KeypointOnImage Copies the current attribute value without changes if set to ``imgaug.augmentables.batches.DEFAULT``. Otherwise same as in :func:`Batch.__init__`. bounding_boxes_unaug : imgaug.augmentables.batches.DEFAULT or None or list of imgaug.augmentables.bbs.BoundingBoxesOnImage Copies the current attribute value without changes if set to ``imgaug.augmentables.batches.DEFAULT``. Otherwise same as in :func:`Batch.__init__`. bounding_boxes_aug : imgaug.augmentables.batches.DEFAULT or None or list of imgaug.augmentables.bbs.BoundingBoxesOnImage Copies the current attribute value without changes if set to ``imgaug.augmentables.batches.DEFAULT``. Otherwise same as in :func:`Batch.__init__`. polygons_unaug : imgaug.augmentables.batches.DEFAULT or None or list of imgaug.augmentables.polys.PolygonsOnImage Copies the current attribute value without changes if set to ``imgaug.augmentables.batches.DEFAULT``. Otherwise same as in :func:`Batch.__init__`. polygons_aug : imgaug.augmentables.batches.DEFAULT or None or list of imgaug.augmentables.polys.PolygonsOnImage Copies the current attribute value without changes if set to ``imgaug.augmentables.batches.DEFAULT``. Otherwise same as in :func:`Batch.__init__`. line_strings_unaug : imgaug.augmentables.batches.DEFAULT or None or list of imgaug.augmentables.lines.LineStringsOnImage Copies the current attribute value without changes if set to ``imgaug.augmentables.batches.DEFAULT``. Otherwise same as in :func:`Batch.__init__`. line_strings_aug : imgaug.augmentables.batches.DEFAULT or None or list of imgaug.augmentables.lines.LineStringsOnImage Copies the current attribute value without changes if set to ``imgaug.augmentables.batches.DEFAULT``. Otherwise same as in :func:`Batch.__init__`. Returns ------- Batch Deep copy of the batch, optionally with new attributes. cSst|tur |S|Srf)r deepcopy_fastr )Z self_attrargrrr_copy_optionalGsz&Batch.deepcopy.._copy_optionalrK)rPr*r,r.r0r2r4r6r rnr8r+r-r/r1r3r5r7)r:r*r+r,r-r.r/r0r1r2r3r4r5r6r7rprrrrdeepcopys>_      zBatch.deepcopyr])r^r_r`rar;propertyia deprecatedr r rrrrBrRrkrmr rqrrrrrP:sP#      rPc@s$eZdZddZddZddZdS)&_BatchInAugmentationPropagationContextcCs"||_||_||_||_d|_dSrf)r augmenterhooksparents noned_info)r:rrvrwrxrrrr;gs  z/_BatchInAugmentationPropagationContext.__init__cCs(|jdur|j|j|j|j|_|jSrf)rwrapply_propagation_hooks_rvrxryrArrr __enter__ns  z0_BatchInAugmentationPropagationContext.__enter__cCs"|jdur|j|j|_dSdSrf)ryrinvert_apply_propagation_hooks_)r:exc_typeexc_valexc_tbrrr__exit__ts  z/_BatchInAugmentationPropagationContext.__exit__N)r^r_r`r;r{rrrrrrufs ruc@seZdZdZ   d!ddZeddZeddZed d Zd d Z d dZ ddZ ddZ ddZ ddZddZddZddZddZdd ZdS)"rjaC Class encapsulating a batch during the augmentation process. Data within the batch is already verified and normalized, similar to :class:`Batch`. Data within the batch may be changed in-place. No initial copy is needed. Added in 0.4.0. Parameters ---------- images : None or (N,H,W,C) ndarray or list of (H,W,C) ndarray The images to augment. heatmaps : None or list of imgaug.augmentables.heatmaps.HeatmapsOnImage The heatmaps to augment. segmentation_maps : None or list of imgaug.augmentables.segmaps.SegmentationMapsOnImage The segmentation maps to augment. keypoints : None or list of imgaug.augmentables.kps.KeypointOnImage The keypoints to augment. bounding_boxes : None or list of imgaug.augmentables.bbs.BoundingBoxesOnImage The bounding boxes to augment. polygons : None or list of imgaug.augmentables.polys.PolygonsOnImage The polygons to augment. line_strings : None or list of imgaug.augmentables.lines.LineStringsOnImage The line strings to augment. Nc Cs4||_||_||_||_||_||_||_||_dS)z4Create a new :class:`_BatchInAugmentation` instance.NrKr9rrrr;s z_BatchInAugmentation.__init__cCs |jdkS)zEstimate whether this batch is empty, i.e. contains no data. Added in 0.4.0. Returns ------- bool ``True`` if the batch contains no data to augment. ``False`` otherwise. r)nb_rowsrArrremptys z_BatchInAugmentation.emptycCs,tD]}t||}|durt|SqdS)a)Get the number of rows (i.e. examples) in this batch. Note that this method assumes that all columns have the same number of rows. Added in 0.4.0. Returns ------- int Number of rows or ``0`` if there is no data in the batch. Nr)r"r#r$)r: augm_namerrrrrs   z_BatchInAugmentation.nb_rowscCr=)a*Get the columns of data to augment. Each column represents one datatype and its corresponding data, e.g. images or polygons. Added in 0.4.0. Returns ------- list of _AugmentableColumn The columns to augment within this batch. rrArrrcolumnsrCz_BatchInAugmentation.columnscCr=)r?rr@rArrrrBrCz%_BatchInAugmentation.get_column_namescCs|j}|j}dg|}tj|ftd}|D]9}|jdkr.t|jr.|jj ddg|}nt |jD]\}}|durD|j ||<d||<q3t |rN|Sq|S)aGet the shape of each row within this batch. Each row denotes the data of different types (e.g. image array, polygons) corresponding to a single example in the batch. This method assumes that all ``.shape`` attributes contain the same shape and that it is identical to the image's shape. It also assumes that there are no columns containing only ``None`` s. Added in 0.4.0. Returns ------- list of tuple of int The shapes of each row. N)dtyper rT) rrnpZzerosboolrrs is_np_arrayrrG enumeraterL)r:rrrQfoundriitemrrrget_rowwise_shapess    z'_BatchInAugmentation.get_rowwise_shapescszd|ji}tD].}t||dur1|dkr tr |n fdd|Dtdkr1d||<qtdi|S)aHReduce this batch to a subset of rows based on their row indices. Added in 0.4.0. Parameters ---------- indices : iterable of int Row indices to select. Returns ------- _BatchInAugmentation Batch containing only a subselection of rows. r8Nr csg|]}|qSrr)rindexrowsrrr*zB_BatchInAugmentation.subselect_rows_by_indices..rr)r8r"r#rsrr$rj)r:indiceskwargsrrrrsubselect_rows_by_indicess     z._BatchInAugmentation.subselect_rows_by_indicesc Cs(tD]}t||}|durt||}|durq|dkrt|rt|r<|jdd|jddh}|jj|jjh}nt|jddgdd|D}t|jjgdd|D}t|dkrlt|dkrl|||<qt ||_ t |D] \}} |||j | <quqt |D] \}} |||| <qq|S)a?Reverse the subselection of rows in-place. This is the inverse of :func:`_BatchInAugmentation.subselect_rows_by_indices`. This method has to be executed on the batch *before* subselection. Added in 0.4.0. Parameters ---------- indices : iterable of int Row indices that were selected. (This is the input to batch_subselected : _BatchInAugmentation The batch after :func:`_BatchInAugmentation.subselect_rows_by_indices` was called. Returns ------- _BatchInAugmentation The updated batch. (Modified in-place.) Examples -------- >>> import numpy as np >>> from imgaug.augmentables.batches import _BatchInAugmentation >>> images = np.zeros((2, 10, 20, 3), dtype=np.uint8) >>> batch = _BatchInAugmentation(images=images) >>> batch_sub = batch.subselect_rows_by_indices([0]) >>> batch_sub.images += 1 >>> batch = batch.invert_subselect_rows_by_indices_([0], batch_sub) Nr rcSrrrFrHrrrrirJzJ_BatchInAugmentation.invert_subselect_rows_by_indices_..cSsg|]}|jjqSr)rrrHrrrrlr) r"r#rsrrGrrsetr$listr r) r:rZbatch_subselectedrrZ column_subrQZdtypesZ ith_indexrrrr!invert_subselect_rows_by_indices_2s<#       z6_BatchInAugmentation.invert_subselect_rows_by_indices_cCst||||dS)aStart a context in which propagation hooks are applied. Added in 0.4.0. Parameters ---------- augmenter : imgaug.augmenters.meta.Augmenter Augmenter to provide to the propagation hook function. hooks : imgaug.imgaug.HooksImages or imgaug.imgaug.HooksKeypoints The hooks that might contain a propagation hook function. parents : list of imgaug.augmenters.meta.Augmenter The list of parents to provide to the propagation hook function. Returns ------- _BatchInAugmentationPropagationContext The progagation hook context. )rvrwrx)ru)r:rvrwrxrrrpropagation_hooks_ctxzsz*_BatchInAugmentation.propagation_hooks_ctxcCsX|durdSg}|jD]}|j|j||dd}|s)t||jd||j|jfq |S)aSet columns in this batch to ``None`` based on a propagation hook. This method works in-place. Added in 0.4.0. Parameters ---------- augmenter : imgaug.augmenters.meta.Augmenter Augmenter to provide to the propagation hook function. hooks : imgaug.imgaug.HooksImages or imgaug.imgaug.HooksKeypoints The hooks that might contain a propagation hook function. parents : list of imgaug.augmenters.meta.Augmenter The list of parents to provide to the propagation hook function. Returns ------- list of tuple of str Information about which columns were set to ``None``. Each tuple contains ``(column attribute name, column value before setting it to None)``. This information is required when calling :func:`_BatchInAugmentation.invert_apply_propagation_hooks_`. NT)rvrxdefault)rZis_propagatingrsetattrrr%)r:rvrwrxryrZis_proprrrrzs z-_BatchInAugmentation.apply_propagation_hooks_cCs|D] \}}t|||q|S)acSet columns from ``None`` back to their original values. This is the inverse of :func:`_BatchInAugmentation.apply_propagation_hooks_`. This method works in-place. Added in 0.4.0. Parameters ---------- noned_info : list of tuple of str Information about which columns were set to ``None`` and their original values. This is the output of :func:`_BatchInAugmentation.apply_propagation_hooks_`. Returns ------- _BatchInAugmentation The updated batch. (Modified in-place.) )r)r:ryrrrrrr|s z4_BatchInAugmentation.invert_apply_propagation_hooks_cCrd)a^Convert this batch to a :class:`_BatchInAugmentation` instance. This method simply returns the batch itself. It exists for consistency with the other batch classes. Added in 0.4.0. Returns ------- imgaug.augmentables.batches._BatchInAugmentation The batch itself. (Not copied.) rrArrrrkrez-_BatchInAugmentation.to_batch_in_augmentationcCsH||ur|S|j|_|j|_|j|_|j|_|j|_|j|_|j|_|S)aSet the columns in this batch to the column values of another batch. This method works in-place. Added in 0.4.0. Parameters ---------- batch_in_augmentation : _BatchInAugmentation Batch of which to use the column values. The values are *not* copied. Only their references are used. Returns ------- _BatchInAugmentation The updated batch. (Modified in-place.) r rlrrrrmsz5_BatchInAugmentation.fill_from_batch_in_augmentation_c Csdt|j|j|j|j|j|j|j|jd}|j |_ |j |_ |j |_|j|_|j|_|j|_|j|_|S)a[Convert this batch into a :class:`Batch` instance. Added in 0.4.0. Parameters ---------- batch_before_aug : imgaug.augmentables.batches.Batch The batch before augmentation. It is required to set the input data of the :class:`Batch` instance, e.g. ``images_unaug`` or ``data``. Returns ------- imgaug.augmentables.batches.Batch Batch, with original unaugmented inputs from `batch_before_aug` and augmented outputs from this :class:`_BatchInAugmentation` instance. rK)rPr*r,r.r0r2r4r6r8r r+r r-rr/rr1rr3rr5rr7)r:Zbatch_before_augrrrrto_batchs$ z_BatchInAugmentation.to_batchcCsDtt|jd}tD]}t||}|durt||t|q |S)zCopy this batch and all of its column values. Added in 0.4.0. Returns ------- _BatchInAugmentation Deep copy of this batch. )r8N)rjr rnr8r"r#rrg)r:rrrrrrrq.s  z_BatchInAugmentation.deepcopyr])r^r_r`rar;rrrrrrBrrrrrzr|rkrmrrqrrrrrjzs.#    "H) 'rj)ra __future__rrr collectionsnumpyrrrrsrrOr r r" namedtuplerr!robjectr'rPrurjrrrrs.   .