ImageDetRecordIOParser: label_pad_width: 350 smaller than estimated width: 380

[dingding2]

Hi, guys~
After turning my own data into .rec, .Ist files, I ran then train.py when I met problem like this
` src/io/iter_image_det_recordio.cc:281: ImageDetRecordIOParser: /home/ding/detector/mxnet-ssd/data/train.rec, use 39 threads for decoding..
Traceback (most recent call last):
File "train.py", line 146, in
tensorboard=args.tensorboard)
File "/home/ding/detector/mxnet-ssd/train/train_net.py", line 223, in train_net
label_pad_width=label_pad_width, path_imglist=train_list, **cfg.train)
File "/home/ding/detector/mxnet-ssd/dataset/iterator.py", line 60, in init
**kwargs)
File "/usr/local/lib/python2.7/dist-packages/mxnet/io.py", line 936, in creator
ctypes.byref(iter_handle)))
File "/usr/local/lib/python2.7/dist-packages/mxnet/base.py", line 149, in check_call
raise MXNetError(py_str(_LIB.MXGetLastError()))
mxnet.base.MXNetError: [15:40:36] src/io/iter_image_det_recordio.cc:327: ImageDetRecordIOParser: label_pad_width: 350 smaller than estimated width: 380

Stack trace returned 10 entries:
[bt] (0) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x30cbe2) [0x7fd8c901bbe2]
[bt] (1) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x30d1b8) [0x7fd8c901c1b8]
[bt] (2) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x2a1cda0) [0x7fd8cb72bda0]
[bt] (3) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x2a1dbfa) [0x7fd8cb72cbfa]
[bt] (4) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x2a198dd) [0x7fd8cb7288dd]
[bt] (5) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x2a03fde) [0x7fd8cb712fde]
[bt] (6) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x2a0361d) [0x7fd8cb71261d]
[bt] (7) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(MXDataIterCreateIter+0x1d0) [0x7fd8cb5ee180]
[bt] (8) /usr/lib/x86_64-linux-gnu/libffi.so.6(ffi_call_unix64+0x4c) [0x7fd955de9e40]
[bt] (9) /usr/lib/x86_64-linux-gnu/libffi.so.6(ffi_call+0x2eb) [0x7fd955de98ab]`.

In the file of 'iter_image_det_recordio.cc', I found this code
if (max_label_width > param_.label_pad_width) { if (param_.label_pad_width > 0) { LOG(FATAL) << "ImageDetRecordIOParser: label_pad_width: " << param_.label_pad_width << " smaller than estimated width: " << max_label_width; } param_.label_pad_width = max_label_width; }.
I found the estimated width increased as my data capacity increased. The hint noticed my params --label-width(label_pad_width in the .cc code) was smaller than the estimated width( max_label_width in the .cc code). What does the label-width mean? And how was the estimated width calculated? What may be the problems in my dataset?

[zhreshold]

This is the padding for label because labels can have arbitrary size. You can increase the pad-width manually.

[lbg12345]

how should I increase the pad-width manually？

[zhreshold]

specify label_width manually: https://mxnet.incubator.apache.org/api/python/io/io.html?highlight=imagedetrecorditer#mxnet.io.ImageDetRecordIter