Comments (4)
The error says that it cannot find the file.
from raccoon_dataset.
same error any idea how do I solve it.
I am beginner in deep learning I am little bit confuse after training we check accuracy on test set(here which images should I used label or unlable, according to me it should be unlable)
from raccoon_dataset.
Hello,
I am using your script for generating tfrecord on my own dataset getting following error any idea how I solve it. I am able to convert from xmltocsv.
filename | width | height | class | xmin | ymin | xmax | ymax | |
---|---|---|---|---|---|---|---|---|
100.png | 1287 | 930 | fillet | 396 | 666 | 445 | 799 | |
100.png | 1287 | 930 | fillet | 368 | 740 | 558 | 783 | |
But getting following error while converting to tfrecord |
Traceback (most recent call last):
File "generate_tfrecord.py", line 100, in
tf.app.run()
File "C:\Users\Sanjay_pc\python35\lib\site-packages\tensorflow\python\platform
\app.py", line 48, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
File "generate_tfrecord.py", line 91, in main
tf_example = create_tf_example(group, path)
File "generate_tfrecord.py", line 80, in create_tf_example
'image/object/class/label': dataset_util.int64_list_feature(classes),
File "C:\Users\Sanjay_pc\python35\pythonprograming\Object_Detection\dataset_ut
il.py", line 9, in int64_list_feature
return tf.train.Feature(int64_list=tf.train.Int64List(value=value))
File "C:\Users\Sanjay_pc\python35\lib\site-packages\google\protobuf\internal\p
ython_message.py", line 509, in init
copy.extend(field_value)
File "C:\Users\Sanjay_pc\python35\lib\site-packages\google\protobuf\internal\c
ontainers.py", line 275, in extend
new_values = [self._type_checker.CheckValue(elem) for elem in elem_seq_iter]
File "C:\Users\Sanjay_pc\python35\lib\site-packages\google\protobuf\internal\c
ontainers.py", line 275, in
new_values = [self._type_checker.CheckValue(elem) for elem in elem_seq_iter]
File "C:\Users\Sanjay_pc\python35\lib\site-packages\google\protobuf\internal\t
ype_checkers.py", line 133, in CheckValue
raise TypeError(message)
TypeError: None has type <class 'NoneType'>, but expected one of: (<class 'int'>
,)
from raccoon_dataset.
problem solved my mistake while annotating spelling mistake
from raccoon_dataset.
Related Issues (20)
- UNKNOWN ERROR. PLEASE HELP! HOT 1
- TFRecord load HOT 1
- How do you evaluate an image while training the model as you did in your article
- UnicodeDecodeError HOT 4
- ERROR in generate_tfrecord.py ( AttributeError: output_path ) HOT 1
- train_dir is missing while training object detection using tensorflow lite HOT 1
- python: can't open file 'generate_tfrecord.py': [Errno 2] No such file or directory HOT 1
- run 'generate_tfrecord.py' error HOT 3
- Unable to generate TFRrecord: getting error : TypeError: None has type NoneType, but expected one of: int, long
- Getting Blank record file on Tfrecod generation
- @chuasonglin I followed your revisions and keep getting this error:
- issue while generating tf.record
- in <module> flags = tf.app.flags AttributeError: module 'tensorflow' has no attribute 'app' HOT 4
- MacOS: ModuleNotFoundError: No module named 'object_detection'
- appeared xml_to_csv.py file
- xml_to_csv: format in the csv file
- generate_tfrecord.py not workingn correctlyt with png images
- Traceback (most recent call last):
- Can the new dataset (raccoon) be combined with the old dataset of the pre-trained model?
- xml_to_csv.py error index is out of range HOT 1
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from raccoon_dataset.