Image and label mismatch while training

[qualia0000]

When I am training dilation frontend network with ADE20K dataset. The procedure log shows that the network got a mismatched pair of image and label. Here is the log: ` I0426 15:44:08.319962 160840 io.cpp:84] /home/xiaosong/data/ADE20K_2016_07_26/images/training/s/skyscraper/ADE_train_00016452.jpg I0426 15:44:08.320272 160840 io.cpp:84] /home/xiaosong/data/ADE20K_2016_07_26/output_train_label/ADE_train_00016452_seg.png I0426 15:44:08.324337 160840 io.cpp:84] /home/xiaosong/data/ADE20K_2016_07_26/images/training/s/staircase/ADE_train_00016812.jpg I0426 15:44:08.324854 160840 io.cpp:84] /home/xiaosong/data/ADE20K_2016_07_26/output_train_label/ADE_train_00016812_seg.png I0426 15:44:10.132612 160840 io.cpp:84] /home/xiaosong/data/ADE20K_2016_07_26/images/training/misc/ADE_train_00012355.jpg I0426 15:44:10.132908 160840 io.cpp:84] /home/xiaosong/data/ADE20K_2016_07_26/output_train_label/ADE_train_00013626_seg.png I0426 15:44:10.171540 160840 io.cpp:84] /home/xiaosong/data/ADE20K_2016_07_26/images/training/misc/ADE_train_00012355.jpg I0426 15:44:10.171807 160840 io.cpp:84] /home/xiaosong/data/ADE20K_2016_07_26/output_train_label/ADE_train_00013626_seg.png OpenCV Error: Assertion failed (0 <= roi.x && 0 <= roi.width && roi.x + roi.width <= m.cols && 0 <= roi.y && 0 <= roi.height && roi.y + roi.height <= m.rows) in Mat, file /opt/packages/opencv-2.4.13/modules/core/src/matrix.cpp, line 323 terminate called after throwing an instance of 'cv::Exception' what(): /opt/packages/opencv-2.4.13/modules/core/src/matrix.cpp:323: error: (-215) 0 <= roi.x && 0 <= roi.width && roi.x + roi.width <= m.cols && 0 <= roi.y && 0 <= roi.height && roi.y + roi.height <= m.rows in function Mat

*** Aborted at 1493192650 (unix time) try "date -d @ 1493192650" if you are using GNU date *** PC: @ 0x7f9b8b3c71d7 __GI_raise *** SIGABRT (@0x3eb00027417) received by PID 160791 (TID 0x7f9b762fa700) from PID 160791; stack trace: *** @ 0x7f9b8b762370 (unknown) @ 0x7f9b8b3c71d7 __GI_raise @ 0x7f9b8b3c88c8 __GI_abort @ 0x7f9b8e13fab5 (unknown) @ 0x7f9b8e13da26 (unknown) @ 0x7f9b8e13da53 (unknown) @ 0x7f9b8e13dc73 (unknown) @ 0x7f9b8f363170 cv::error() @ 0x7f9b8f2d689d cv::Mat::Mat() @ 0x7f9b97f3713b caffe::DataTransformer<>::Transform() @ 0x7f9b97fc7637 caffe::ImageLabelDataLayer<>::load_batch() @ 0x7f9b97f636e9 caffe::BasePrefetchingDataLayer<>::InternalThreadEntry() @ 0x7f9b97f3fcf0 caffe::InternalThread::entry() @ 0x7f9b8e5f827a (unknown) @ 0x7f9b8b75adc5 start_thread @ 0x7f9b8b48973d __clone ` Notice that the last two inputs, the image and the corresponding label, are not of a training pair. Besides, the problem occurred randomly on different images input.

Can someone help me with this? Thank you.