Getting Assertion Error

Appending horizontally-flipped training examples... wrote gt roidb to /data/shivamash/faster-rcnn.pytorch/data/cache/voc_2007_trainval_gt_roidb.pkl Traceback (most recent call last): File "train_plane.py", line 206, in <module> imdb, roidb, ratio_list, ratio_index = combined_roidb(args.imdb_name) File "/data/shivamash/faster-rcnn.pytorch/lib/roi_data_layer/roidb.py", line 116, in combined_roidb roidbs = [get_roidb(s) for s in imdb_names.split('+')] File "/data/shivamash/faster-rcnn.pytorch/lib/roi_data_layer/roidb.py", line 113, in get_roidb roidb = get_training_roidb(imdb) File "/data/shivamash/faster-rcnn.pytorch/lib/roi_data_layer/roidb.py", line 97, in get_training_roidb imdb.append_flipped_images() File "/data/shivamash/faster-rcnn.pytorch/lib/datasets/imdb.py", line 123, in append_flipped_images assert (boxes[:, 2] >= boxes[:, 0]).all() AssertionError I am training on a different dataset. I have prepared them in PASCAL_VOC format. Can you suggest why I am getting this error? Thanks.

[ashutoshIITK]

Yes, my dataset bounding boxes had negative points and also x_max<x_min. I have fixed them. Thank you very much for your help.

[AtriSaxena]

I am also getting same error. I checked the file. In below xml file i am getting error. I think data is right. What other possible solution you can suggest. I have modified Pascal_Voc.py file.

<annotation>
<folder>open_images_volume</folder>
<filename>000a9c6e22a06877.jpg</filename>
<path>/mnt/open_images_volume/000a9c6e22a06877.jpg</path>
<source>
<database>Unknown</database>
</source>
<size>
<width>1024</width>
<height>765</height>
<depth>3</depth>
</size>
<segmented>0</segmented>
<object>
<name>Giraffe</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>290</xmin>
<ymin>53</ymin>
<xmax>650</xmax>
<ymax>748</ymax>
</bndbox>
</object>
</annotation>