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How to deal with PKL files in an ins folder? #16
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@xulinui please refer to the COCO RLE format, they can be transformed to binary mask |
Could you provide the cropped rotated bounding box labels of the SOTA (DOTA) dataset? |
@xulinui OK, we also have this plan, the data will be uploaded soon |
@xulinui Hi, we have uploaded the cropped rotated bounding box labels of the SOTA (DOTA) dataset. |
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[{'mask': {'size': [1024, 1024], 'counts': 'cRYf07fo04M3M2O2O01O1N2O0O3M2LbmZ9'}, 'bbox': array([714., 76., 726., 95.]), 'category': 'small-vehicle', 'size': 159, 'label': 9}, {'mask': {'size': [1024, 1024], 'counts': 'kRjf06fo05M2N3N10000O2O01N1O1N3L4M^mg8'}, 'bbox': array([731., 82., 744., 101.]), 'category': 'small-vehicle', 'size': 199, 'label': 9}, {'mask': {'size': [1024, 1024], 'counts': 'YWWd02lo04L4L3L4N1O2N1000O100O1N3N1N3N3LQiW;'}, 'bbox': array([648., 222., 667., 242.]), 'category': 'small-vehicle', 'size': 250, 'label': 9}, {'mask': {'size': [1024, 1024], 'counts': 'nSjf01no02N2N2O001N1000010O0010O001O10O01O1O100Onk
8'}, 'bbox': array([733., 122., 754., 136.]), 'category': 'small-vehicle', 'size': 152, 'label': 9}, {'mask': {'size': [1024, 1024], 'counts': ']TQh02lo04M2O001O000010O0010O0010O001N3Mak]7'}, 'bbox': array([770., 137., 788., 151.]), 'category': 'small-vehicle', 'size': 136, 'label': 9}, {'mask': {'size': [1024, 1024], 'counts': 'lTUi06io02O1O001O00000001O0010O010OO101N2NQkX6'}, 'bbox': array([806., 153., 827., 168.]), 'category': 'small-vehicle', 'size': 153, 'label': 9}, {'mask': {'size': [1024, 1024], 'counts': 'UTce05io03L4M2O1O101O0000O2O0O2I9KQln9'}, 'bbox': array([691., 122., 705., 141.]), 'category': 'small-vehicle', 'size': 175, 'label': 9}, {'mask': {'size': [1024, 1024], 'counts': 'YTke02lo03M3L4M2O10000001O0O1O2N2KRlf9'}, 'bbox': array([700., 126., 714., 145.]), 'category': 'small-vehicle', 'size': 155, 'label': 9}, {'mask': {'size': [1024, 1024], 'counts': 'dTQf05io03J6N1O2N1000O101N1O2M2M4Mek
9'}, 'bbox': array([706., 140., 718., 157.]), 'category': 'small-vehicle', 'size': 182, 'label': 9}, {'mask': {'size': [1024, 1024], 'counts': 'fSel05io0201O001O0010O010O01O01O010O001O1O0O2NVlf2'}, 'bbox': array([917., 117., 938., 131.]), 'category': 'small-vehicle', 'size': 166, 'label': 9}, {'mask': {'size': [1024, 1024], 'counts': ']Skl05jo02N101O1O000010O01O10O001O001O1O001O1O0O_l_2'}, 'bbox': array([924., 106., 945., 122.]), 'category': 'small-vehicle', 'size': 188, 'label': 9}, {'mask': {'size': [1024, 1024], 'counts': 'kRXm05jo02O001O001O010O00010O01O010O001N102LQmT2'}, 'bbox': array([935., 88., 955., 104.]), 'category': 'small-vehicle', 'size': 145, 'label': 9}, {'mask': {'size': [1024, 1024], 'counts': 'TYaj07go03L3N2N3N1O1O101O00O2O0O1M3N3M2N4KWgl4'}, 'bbox': array([849., 282., 864., 303.]), 'category': 'small-vehicle', 'size': 281, 'label': 9}, {'mask': {'size': [1024, 1024], 'counts': 'V[_h05io03M3M2N3N2O1N11O01O0001M3E[eR7'}, 'bbox': array([785., 349., 796., 367.]), 'category': 'small-vehicle', 'size': 212, 'label': 9}, {'mask': {'size': [1024, 1024], 'counts': '\[hh04jo03K5N1M3N2000O100O2M2M4MPej6'}, 'bbox': array([793., 354., 805., 370.]), 'category': 'small-vehicle', 'size': 168, 'label': 9}, {'mask': {'size': [1024, 1024], 'counts': 'c[i05ho04M2N2N2N3O00O100O1O1N3N2L5LfdP6'}, 'bbox': array([817., 361., 830., 376.]), 'category': 'small-vehicle', 'size': 188, 'label': 9}, {'mask': {'size': [1024, 1024], 'counts': 'WRVo05ho04M3M2N200O1000O1O2N1N4KSn<'}, 'bbox': array([ 999., 62., 1011., 80.]), 'category': 'small-vehicle', 'size': 167, 'label': 9}, {'mask': {'size': [1024, 1024], 'counts': ']Yec01no02M2HM
PO6_o06010O01O01O0O2O0O2M2Nmfk;'}, 'bbox': array([631., 291., 646., 308.]), 'category': 'small-vehicle', 'size': 156, 'label': 9}, {'mask': {'size': [1024, 1024], 'counts': 'VY_c06ho04L2N3N100000000001O001N2O1M3M2O2Mmfn;'}, 'bbox': array([623., 287., 636., 304.]), 'category': 'small-vehicle', 'size': 216, 'label': 9}, {'mask': {'size': [1024, 1024], 'counts': '^Zmb02ko05K4N1N2N20000000O101M2N3N1Nmec<'}, 'bbox': array([607., 324., 621., 340.]), 'category': 'small-vehicle', 'size': 176, 'label': 9}]Great work! I have two questions: 1. What exactly is 'counts'? 2. Are there any polygons for instance segmentation? Thank you
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