]j:4dZddlZddlZddlZddlZddlmZddlm Z ddl m Z eje ZGddZdZd Zdd efd Zd Z dd ZddZddZddZdZdgdfdZdZdZdZ ddZy)ar Original RLE JS code from https://github.com/thi-ng/umbrella/blob/develop/packages/rle-pack/src/index.ts export const decode = (src: Uint8Array) => { const input = new BitInputStream(src); const num = input.read(32); const wordSize = input.read(5) + 1; const rleSizes = [0, 0, 0, 0].map(() => input.read(4) + 1); const out = arrayForWordSize(wordSize, num); let x, j; for (let i = 0; i < num; ) { x = input.readBit(); j = i + 1 + input.read(rleSizes[input.read(2)]); if (x) { out.fill(input.read(wordSize), i, j); i = j; } else { for (; i < j; i++) { out[i] = input.read(wordSize); } } } return out; }; const arrayForWordSize = (ws: number, n: number) => { return new (ws < 9 ? Uint8Array : ws < 17 ? Uint16Array : Uint32Array)(n); }; N)Image) defaultdict)groupbyceZdZdZdZy) InputStreamc ||_d|_y)Nrdatai)selfr s J/root/env/lib/python3.12/site-packages/label_studio_sdk/converter/brush.py__init__zInputStream.__init__/s c|j|j|j|z}|xj|z c_t|dS)N)r r int)r sizeouts r readzInputStream.read3s7ii$/ $3{rN)__name__ __module__ __qualname__rrrr rr.s rrc\t|dz}dt|dzz }||d|zz|z S)z(from bytes array to bits by num position)r)r numbaseshifts r access_bitr!9s9 sax=D C!G E J!u* %% //rc djtt|dzDcgc]}tt ||c}Scc}w)zget bit string from bytes datar)joinrangelenstrr!r s r bytes2bitr(@s8 77eCIM6JKC 4+,K LLKsA print_paramsc Vtt|}|jd}|jddz}tdDcgc]}|jddz}}|rt d|d|d|dd }t j |t j }||kr|jd} |dz|j||jd z} | r|j|} | ||| | }n&|| kr!|j|} | ||<|dz }|| kr!||kr|Scc}w) zfrom LS RLE to numpy uint8 3d image [width, height, channel] Args: print_params (bool, optional): If true, a RLE parameters print statement is suppressed rz RLE params:values word_size rle_sizesrdtyper)rr(rr%printnpzerosuint8) rler)inputrr/_r0r rxjvals r decode_rler=Es(  # 'E **R.C 1 !I,1!H5qA"5I5 3)[)[  A ((3bhh 'C c' JJqM EEJJyA78 8 **Y'CC!HAa%jj+AQa% c' J+6sD&ci}tt}|D]}|djdk(rdn|djdk(rdnd}|d|vr<|d}|d}|d}||vr||ndg} |d zd j| z} t || } || xxd z cc<| d | zz } t |} t j| ||d gddddd f|| <|S) zUfrom LS annotation to {"tag_name + label_name": [numpy uint8 image (width x height)]}type brushlabelslabelsNr7original_widthoriginal_heightno_label-rr-)rrlowerr$r'r=r4reshape) from_nameresultslayerscountersresultkeyr7widthheightrAnamer images r decode_from_annotationrSfs F3HFf~##%6 $Vn224@(d ;%v- Um'()* #v J<3&!11  ! a3zz%&%);z4save_brush_images_from_annotation..s)AIIK18qCxs))/rE\ztask-z -annotation-z-by-zSave image to numpypngz.pngz)Unknown output format for brush converter)rS isinstancedictgetr'r$replaceospathloggerdebugr4saver fromarray Exception)task_id annotation_id completed_byrIrJout_dir out_formatrKrUrQsanitized_namefilenamerRims r !save_brush_images_from_annotationrssK$Iw 7F,%  "-L! GG EIc3/77cB77<<  'l  -  !           t  ~hZ01  GGHe $ 5 'B GGHv% &GH H-Irc n|djD]\}}t|d|d|d||||!y)zHTask with multiple annotations to brush images, out_format = numpy | pngoutputidrlrmN)itemsrs)itemrnrorIrJs r convert_taskrysN"8n224   7) J  !        rc,|D]}t|||y)zMDirectory with tasks and annotation to brush images, out_format = numpy | pngN)ry)rwrnrorxs r convert_task_dirr{s0T7J/0rrcg}tdt||Dcgc] }||||z }}|D]}|jt|d|Scc}w)zConvert bits back to byte :param arr_str: string with the bit array :type arr_str: str :param n: number of bits to separate the arr string into :type n: int :return rle: :type rle: list rr)r%r&appendr)arr_strnr7r numberss r bits2byters` C+0CL!+DEawq1q5!EGE  3q!9 JFsAcvtj|}t|}|dk(ry|dd|ddk7}tjtj||dz }tj tjd|}tj tjd|dd}||||fS)zrun length encoding. Partial credit to R rle function. Multi datatype arrays catered for including non Numpy returns: tuple (runlengths, startpositions, values)r)NNNrN)r4asarrayr&r}wherediffcumsum)inarrayiaryr zps r base_rle_encoders G B BAAv qrFb"g  IIbhhqk1q5 ) GGBIIb!$ % IIbii1o &s +!RU{r)rFr-rct|}|d}|dz d}dj|Dcgc] }|dz d c}}||z|z}d} tt|D]\} } } | dk(r| dz } | dz } | dz } | | d z } d } %| dkDs+d } | d kr| d z } | dz } | | dz dz } | | d z } Nd | cxkrdkrnn| d z } | dz } | | dz dz } | | d z } xd| cxkrdkrnn| d z } | dz } | | dz d z } | | d z } | }|dkDr#| d z } | dz } | ddz } | | d z } |dz}|dkDr#| d z } | dz } | |dz dz } | | d z } d t|| zd zz }|| z}||dzz}t |}|Scc}w)aEncode a 1d array to rle :param arr: flattened np.array from a 4d image (R, G, B, alpha) :type arr: np.array :param wordsize: wordsize bits for decoding, default is 8 :type wordsize: int :param rle_sizes: list of ints which state how long a series is of the same number :type rle_sizes: list :return rle: run length encoded array :type rle: list 032br05br#04b00000008b single_valseriesr103br0110i11i016b)r&r$ziprr)arrwordsizer0rnumbits wordsizebitsr:rle_bitsbase_strout_str length_reeksrvaluestate length_tempnzfill total_strr7s r encode_rlersh c(CT Gl3'Lww :11q5+:;H%0HG"%s';"<I* a 1  sNG tOG u G % %G E A Eq 34lQ.s34eC[)\'R'34lQ.s34eC[)l)c)34lQ.s34eC[)+ !E)sNGtOG+d!34G%-G5(K"E)34kAod34eC[)SI*XX'(1, ,F7"IFSL(I I C Js;sE-cddl}tj||df}|j|||dd}t |j j t}|S)aM :param contours: list of contours :type contours: list :param contour_id: id of contour which you want to translate :type contour_id: int :param img_width: image shape width :type img_width: int :param img_height: image shape height :type img_height: int :return: list of ints in RLE format rNr-)rrdr)color thickness)cv2r4r5 drawContoursrravelastyper)contours contour_id img_width img_heightrmask_im mask_contoursrle_outs r contour2rler\sbhh :q12G$$:-=%M,,.55c:;G Nrct|jdk(sJd|jtjk(s|jt k(sJd|j }tj|d}t|}|S)zConvert mask to RLE :param mask: uint8 or int np.array mask with len(shape) == 2 like grayscale image :return: list of ints in RLE format rzmask must be 2D np.arrayzmask must be uint8 or intr-) r&shaper2r4r6rrrepeatr)maskarrayr7s r mask2rlerrsq tzz?a ;!;;  :: !TZZ3%6S8SS 6 JJLE IIeQ E U C Jrctj|jd5}tjtj|dkDdztj }|j }tj|d}t|}||jd|jdfcdddS#1swYyxYw) auConvert mask image (jpg, png) to RLE 1. Read image as grayscale 2. Flatten to 1d array 3. Threshold > 128 4. Encode :param path: path to image with mask (jpg, png), this image will be thresholded with values > 128 to obtain mask, so you can mark background as black and foreground as white :return: list of ints in RLE format Lrr1r-rrN) ropenconvertr4rr6rrrr)rerRrrr7s r image2rlers D  ! !# &1%xx%3.#5RXXF  %#EJJqM5::a=0 111s BB==Cc t|\}}} dttjddd|d|gdd||d|| d gi} |r || d <|| d <| S|| d <| S) aConvert image with mask to brush RLE annotation :param path: path to image with mask (jpg, png), this image will be thresholded with values > 128 to obtain mask, so you can mark background as black and foreground as white :param label_name: label name from labeling config (