YOLOlog.txt

Parsing ./cfg/tiny-yolo-voc.cfg
Parsing cfg/tiny-yolo-voc-1c.cfg
Loading bin/tiny-yolo-voc.weights ...
Successfully identified 63471556 bytes
Finished in 0.010008573532104492s

Building net ...
Source | Train? | Layer description                | Output size
-------+--------+----------------------------------+---------------
       |        | input                            | (?, 416, 416, 3)
 Load  |  Yep!  | conv 3x3p1_1  +bnorm  leaky      | (?, 416, 416, 16)
 Load  |  Yep!  | maxp 2x2p0_2                     | (?, 208, 208, 16)
 Load  |  Yep!  | conv 3x3p1_1  +bnorm  leaky      | (?, 208, 208, 32)
 Load  |  Yep!  | maxp 2x2p0_2                     | (?, 104, 104, 32)
 Load  |  Yep!  | conv 3x3p1_1  +bnorm  leaky      | (?, 104, 104, 64)
 Load  |  Yep!  | maxp 2x2p0_2                     | (?, 52, 52, 64)
 Load  |  Yep!  | conv 3x3p1_1  +bnorm  leaky      | (?, 52, 52, 128)
 Load  |  Yep!  | maxp 2x2p0_2                     | (?, 26, 26, 128)
 Load  |  Yep!  | conv 3x3p1_1  +bnorm  leaky      | (?, 26, 26, 256)
 Load  |  Yep!  | maxp 2x2p0_2                     | (?, 13, 13, 256)
 Load  |  Yep!  | conv 3x3p1_1  +bnorm  leaky      | (?, 13, 13, 512)
 Load  |  Yep!  | maxp 2x2p0_1                     | (?, 13, 13, 512)
 Load  |  Yep!  | conv 3x3p1_1  +bnorm  leaky      | (?, 13, 13, 1024)
 Load  |  Yep!  | conv 3x3p1_1  +bnorm  leaky      | (?, 13, 13, 1024)
 Init  |  Yep!  | conv 1x1p0_1    linear           | (?, 13, 13, 30)
-------+--------+----------------------------------+---------------
Running entirely on CPU
cfg/tiny-yolo-voc-1c.cfg loss hyper-parameters:
        H       = 13
        W       = 13
        box     = 5
        classes = 1
        scales  = [1.0, 5.0, 1.0, 1.0]
Building cfg/tiny-yolo-voc-1c.cfg loss
Building cfg/tiny-yolo-voc-1c.cfg train op
2018-06-21 09:53:53.177213: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
Finished in 5.303142070770264s

Enter training ...

cfg/tiny-yolo-voc-1c.cfg parsing newmodel/annotations
Parsing for ['autorick']
Traceback (most recent call last):
  File "./flow", line 6, in <module>
    cliHandler(sys.argv)
  File "C:\Users\143\Desktop\final\darkflow-master\darkflow\cli.py", line 33, in cliHandler
    print('Enter training ...'); tfnet.train()
  File "C:\Users\143\Desktop\final\darkflow-master\darkflow\net\flow.py", line 39, in train
    for i, (x_batch, datum) in enumerate(batches):
  File "C:\Users\143\Desktop\final\darkflow-master\darkflow\net\yolo\data.py", line 97, in shuffle
    data = self.parse()
  File "C:\Users\143\Desktop\final\darkflow-master\darkflow\net\yolo\data.py", line 18, in parse
    dumps = pascal_voc_clean_xml(ann, meta['labels'], exclusive)
  File "C:\Users\143\Desktop\final\darkflow-master\darkflow\utils\pascal_voc_clean_xml.py", line 22, in pascal_voc_clean_xml
    annotations = glob.glob(str(annotations)+'*.xml')
  File "C:\Users\143\Miniconda3\envs\tensorflow\lib\glob.py", line 20, in glob
    return list(iglob(pathname, recursive=recursive))
  File "C:\Users\143\Miniconda3\envs\tensorflow\lib\glob.py", line 54, in _iglob
    yield from glob1(dirname, basename)
  File "C:\Users\143\Miniconda3\envs\tensorflow\lib\glob.py", line 90, in glob1
    return fnmatch.filter(names, pattern)
  File "C:\Users\143\Miniconda3\envs\tensorflow\lib\fnmatch.py", line 52, in filter
    match = _compile_pattern(pat)
  File "C:\Users\143\Miniconda3\envs\tensorflow\lib\fnmatch.py", line 46, in _compile_pattern
    return re.compile(res).match
  File "C:\Users\143\Miniconda3\envs\tensorflow\lib\re.py", line 224, in compile
    return _compile(pattern, flags)
  File "C:\Users\143\Miniconda3\envs\tensorflow\lib\re.py", line 293, in _compile
    p = sre_compile.compile(pattern, flags)
  File "C:\Users\143\Miniconda3\envs\tensorflow\lib\sre_compile.py", line 536, in compile
    p = sre_parse.parse(p, flags)
  File "C:\Users\143\Miniconda3\envs\tensorflow\lib\sre_parse.py", line 829, in parse
    p = _parse_sub(source, pattern, 0)
  File "C:\Users\143\Miniconda3\envs\tensorflow\lib\sre_parse.py", line 437, in _parse_sub
    itemsappend(_parse(source, state, nested + 1))
  File "C:\Users\143\Miniconda3\envs\tensorflow\lib\sre_parse.py", line 575, in _parse
    raise source.error(msg, len(this) + 1 + len(that))
sre_constants.error: bad character range 8-1 at position 437