Problem I met when I try to train with ICDAR2017 dataset.

[small-wong]

When I try to train the model using ICDAR2017 dataset, I got the problem below. I wonder how can I fix this? I use the ICARD2015 converting scripts to convert the dataset, am I wrong here? Thanks! :)

INFO:tensorflow:Error reported to Coordinator: <class 'tensorflow.python.framework.errors_impl.InvalidArgumentError'>, All bounding box coordinates must be in [0.0, 1.0]: -0.00061273575
[[Node: ssd_preprocessing_train/distorted_bounding_box_crop/SampleDistortedBoundingBox = SampleDistortedBoundingBox[T=DT_INT32, area_range=[0.1, 1], aspect_ratio_range=[0.5, 2], max_attempts=200, min_object_covered=0.1, seed=0, seed2=0, use_image_if_no_bounding_boxes=true, _device="/job:localhost/replica:0/task:0/cpu:0"](ssd_preprocessing_train/distorted_bounding_box_crop/Shape_1, ssd_preprocessing_train/distorted_bounding_box_crop/ExpandDims)]]

Caused by op u'ssd_preprocessing_train/distorted_bounding_box_crop/SampleDistortedBoundingBox', defined at:
File "train_pixel_link.py", line 293, in
tf.app.run()
File "/data/app/smallhuang/anaconda2/envs/pixel_link/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 48, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
File "train_pixel_link.py", line 287, in main
batch_queue = create_dataset_batch_queue(dataset)
File "train_pixel_link.py", line 136, in create_dataset_batch_queue
is_training = True)
File "/data/app/smallhuang/pixel_link/preprocessing/ssd_vgg_preprocessing.py", line 480, in preprocess_image
data_format=data_format)
File "/data/app/smallhuang/pixel_link/preprocessing/ssd_vgg_preprocessing.py", line 380, in preprocess_for_train
area_range = AREA_RANGE)
File "/data/app/smallhuang/pixel_link/preprocessing/ssd_vgg_preprocessing.py", line 246, in distorted_bounding_box_crop
use_image_if_no_bounding_boxes=True)
File "/data/app/smallhuang/anaconda2/envs/pixel_link/lib/python2.7/site-packages/tensorflow/python/ops/gen_image_ops.py", line 989, in sample_distorted_bounding_box
name=name)
File "/data/app/smallhuang/anaconda2/envs/pixel_link/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 768, in apply_op
op_def=op_def)
File "/data/app/smallhuang/anaconda2/envs/pixel_link/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2336, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/data/app/smallhuang/anaconda2/envs/pixel_link/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1228, in init
self._traceback = _extract_stack()

[dengdan]

All bounding box coordinates must be in [0.0, 1.0]: -0.00061273575
This error message tells everything. You should modify the lines in icdar2015_to_tfrecords to make all the bbox values be within the valid range, i.e., [0, 1]:

def to_valid_range(v):
  if v < 0:
    return 0
  if v > 1:
    return 1
  return v

xmin = to_valid_range(xs.min())
xmax = to_valid_range(xs.max())
ymin = to_valid_range(ys.min())
ymax = to_valid_range(ys.max())

The above code has not been tested, only for explanation.

[small-wong]

Thank you very much!~

[alpace]

@small-wong can you provide the icdar2017 dataset ?

[small-wong]

@alpace Sorry, I have not worked on this project for a long time and I did not save the dataset. May be you can search that on Google. Good luck for you~

[v-smwang]

+1