o V h`.@sddlZddlmZddlmZddlmZddlZddlZddl m Z ddl m Z m Z ddlmZddlmZd(d d Zd)d dZd*ddZd+ddZd,ddZd-ddZd.d d!Zd.d"d#Zed$krred%d&d'ed%d&d'dSdS)/N)glob)ceil)Path)Image) exif_sizeimg2label_paths)TQDM)check_requirementsư>c stdddlm|ddd}tj|dd}tj|dd}tj||gdd}t|d d d d dfd d df}t |d d d dd fd dd f}t ||dtj }|d |d } fd dt dD\} } } } tj | | | | | | | | gddddd}fdd|D}fdd|D}t| j}tt| D]}||d||dj||<qtjdd|Dtjd}|d}t ||tj }||}|jdkr|d}|S)a Calculate Intersection over Foreground (IoF) between polygons and bounding boxes. Args: polygon1 (np.ndarray): Polygon coordinates with shape (n, 8). bbox2 (np.ndarray): Bounding boxes with shape (n, 4). eps (float, optional): Small value to prevent division by zero. Returns: (np.ndarray): IoF scores with shape (n, 1) or (n, m) if bbox2 is (m, 4). Notes: Polygon format: [x1, y1, x2, y2, x3, y3, x4, y4]. Bounding box format: [x_min, y_min, x_max, y_max]. shapelyrPolygonaxisN.).r).c3s|] }d|fVqdS.N.0i)bbox2rO/var/www/vscode/kcb/lib/python3.10/site-packages/ultralytics/data/split_dota.py .szbbox_iof..cg|]}|qSrrrpr rr 1zbbox_iof..crrrrr rrr 2r!cSsg|]}|jqSr)arearrrrr 6sdtyperr)r shapely.geometryr reshapenpminmax concatenatemaximumminimumclipinfrangestackzerosshapezipnonzero intersectionr"arrayfloat32ndim)polygon1repslt_pointrb_pointbbox1ltrbwh h_overlapslefttoprightbottompolygon2 sg_polys1 sg_polys2overlapsrunionsoutputsr)r rrbbox_iofs0 **( " rLtrainc Cs|dvs Jd|dt|d|}|s Jd|dttt|d|d}t|}g}t||D]D\}}tt|\}} t|dd } d d | D} t j | t jd } Wd n1slwY|t| |f| |dq9|S)a Load DOTA dataset. Args: data_root (str): Data root directory. split (str): The split data set, could be `train` or `val`. Returns: (List[Dict]): List of annotation dictionaries containing image information. Notes: The directory structure assumed for the DOTA dataset: - data_root - images - train - val - labels - train - val >valrMz$Split must be 'train' or 'val', not .images Can't find , please check your data root.*utf-8encodingcSsg|] }t|r|qSr)lensplit)rxrrrr ^z"load_yolo_dota..r#N)ori_sizelabelfilepath)rexistsrstrrr3rropenreadstrip splitlinesr'r6r7appenddict) data_rootrXim_dirim_fileslb_filesannosim_filelb_filewhflbrrrload_yolo_dota@srq333333?{Gz?csv|\}}g}t||D]\}} || ksJd|d| d|| ||kr(dn t||d} fddt| D} t| dkrQ| d||krQ||| d<||krWdn t||d} fddt| D} t| dkr| d||kr||| d<tjtt| | tj d }||}| tj ||gdd q tj |d d }| }t |d d d d d fd ||d d d d d f<t |d d dd d fd ||d d dd d f<|d d d f|d d d f|d d df|d d df}|d d d f|d d d f|d d df|d d df}||}||ks5|}d|t|||k<|||kS)a Get the coordinates of windows. Args: im_size (tuple): Original image size, (h, w). crop_sizes (List[int]): Crop size of windows. gaps (List[int]): Gap between crops. im_rate_thr (float): Threshold of windows areas divided by image areas. eps (float): Epsilon value for math operations. Returns: (np.ndarray): Array of window coordinates with shape (n, 4) where each row is [x_start, y_start, x_stop, y_stop]. zinvalid crop_size gap pair [ ]rcg|]}|qSrrrsteprrr yr!zget_windows..rcrzrrrr{rrr ~r!r#rrNr)r3rr/rWr'r6list itertoolsproductint64rdr*copyr-anyr)abs)im_size crop_sizesgaps im_rate_thrr:rnrmwindows crop_sizegapxnxsynysstartstop im_in_winsim_areas win_areasim_ratesmax_raterr{r get_windowsds6    22@@ rffffff?cs|d\}}|dtrHdddddf|9<dddddf|9<tddddf|fddtt|DSddtt|DS) zGet objects for each window.r[r\Nrrcs$g|]}dd|fkqS)Nrriof_thriofsr\rrr s$z"get_window_obj..cSsg|] }tjdtjdqS))r r#)r'r1r7)r_rrrr rZ)rWrLr/)annorrrnrmrrrget_window_objs rTc Cst|d}t|dj}t|D]\}} | \} } } } |d| | d| d| }|| | | | f}|jdd\}}||}t|sJ|rYtt t||d|t|r|dddddf| 8<|dddddf| 8<|dddddf|<|dddddf|<t t||dd d d *}|D]}d d |ddD}| t |ddd |dqWdn1swYqdS)a Crop images and save new labels. Args: anno (dict): Annotation dict, including `filepath`, `label`, `ori_size` as its keys. windows (np.ndarray): Array of windows coordinates with shape (n, 4). window_objs (list): A list of labels inside each window. im_dir (str): The output directory path of images. lb_dir (str): The output directory path of labels. allow_background_images (bool): Whether to include background images without labels. Notes: The directory structure assumed for the DOTA dataset: - data_root - images - train - val - labels - train - val r]_____Nr.jpgrz.txtrmrTrUcSsg|]}|dqS)z.6gr)rcoordrrrr r!z!crop_and_save..rrx )cv2imreadrstem enumeratetolistr2rWimwriter_r`writeintjoin)rr window_objsrglb_dirallow_background_imagesimnamerwindowx_starty_startx_stopy_stopnew_namepatch_imphpwr\rorpformatted_coordsrrr crop_and_saves. &rc Cst|d|}|jdddt|d|}|jdddt||d}t|t||dD]}t|d||} t|| } t|| | t|t|q-dS) a Split both images and labels. Args: data_root (str): Root directory of the dataset. save_dir (str): Directory to save the split dataset. split (str): The split data set, could be `train` or `val`. crop_sizes (tuple): Tuple of crop sizes. gaps (tuple): Tuple of gaps between crops. Notes: The directory structure assumed for the DOTA dataset: - data_root - images - split - labels - split and the output directory structure is: - save_dir - images - split - labels - split rPTparentsexist_oklabels)rXtotaldescr[N) rmkdirrqrrWrrrr_) rfsave_dirrXrrrgrrjrrrrrrsplit_images_and_labelss  rrsrug?c CsVgg}}|D]}|t|||t||qdD] }t|||||qdS)a Split train and val set of DOTA. Args: data_root (str): Root directory of the dataset. save_dir (str): Directory to save the split dataset. crop_size (int): Base crop size. gap (int): Base gap between crops. rates (tuple): Scaling rates for crop_size and gap. Notes: The directory structure assumed for the DOTA dataset: - data_root - images - train - val - labels - train - val and the output directory structure is: - save_dir - images - train - val - labels - train - val )rMrNN)rdrr) rfrrrratesrrrrXrrrsplit_trainvals rc CsHgg}}|D]}|t|||t||qt|dd}|jdddt|dd}|s?Jd|dtt|d} t| t| ddD]Q} t t | \} } t | | f||d } t | }t| j}| D]0}|\}}}}|d ||d |d |}|||||f}t t||d |qpqPd S)aj Split test set of DOTA, labels are not included within this set. Args: data_root (str): Root directory of the dataset. save_dir (str): Directory to save the split dataset. crop_size (int): Base crop size. gap (int): Base gap between crops. rates (tuple): Scaling rates for crop_size and gap. Notes: The directory structure assumed for the DOTA dataset: - data_root - images - test and the output directory structure is: - save_dir - images - test rPtestTrrQrRrSr)rrrrrN)rdrrrr^rr_rrWrrr`rrrrrr)rfrrrrrrrrgrhrkrmrnrrrrrrrrrrrrr split_tests*   r__main__DOTAv2z DOTAv2-split)rfr)r )rM)rrrtrvrw)r)T)rMrrrt)rsrur)rrmathrpathlibrrnumpyr'PILrultralytics.data.utilsrrultralytics.utilsrultralytics.utils.checksr rLrqrrrrrr__name__rrrrs,        / $ /  - % %+