Comments (5)
GoogleCloudPlatform/training-data-analyst#281 (comment)
Seeing this issue it seems to be that is not reading images that I have in data
. This is weird.
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ghwatson/faststyle#3 (comment)
Another issue related to this. I tried with and without /
in directories path input but nothing worked.
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Maybe the first messages are the reason why this is not working. I'm going to make a little research on this. If I receive a early solution I will appreciate it.
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I tried with
python -m koalarization.dataset.lab_batch -c 'data/inception_resnet_v2_2016_08_30.ckpt' 'data/resized' 'data/tfrecords'
but It doesn't work.
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Hi @lucasSaavedra123,
problem is probably in line
file_matcher = tf.train.match_filenames_once(join(folder, "*.jpeg"))
.
Change .jpeg to .jpg if your files have that extension
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Related Issues (14)
- Training HOT 1
- train on multiple gpu HOT 1
- train.py? HOT 3
- training on my own data HOT 1
- from resizeimage import resizeimage HOT 1
- queue_single_images_from_folder HOT 1
- Labels from Inception at the beginning of training seem incorrect
- [REQ] Colab version
- How do you train your neural network? HOT 1
- TypeError: Can not convert a LabImageRecordReader into a Tensor or Operation. HOT 3
- Pre-trained model HOT 1
- Lab_Batch file is not creating Tf-records
- Inception output size HOT 1
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