Comments (9)
I am getting this issue also, does anyone have any new input on this?
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Using @fms-santos branch fixed this issue for me. Looked like there was some differences in the inception/slim folder but I am not sure exactly what caused the issue.
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Using @fms-santos branch fixed this issue for me. Looked like there was some differences in the inception/slim folder but I am not sure exactly what caused the issue.
Glad I could help ;)
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Resolved the issue by editing the tf.concat function in inception_model.py
tensorflow.python.framework.errors_impl.InvalidArgumentError: Dimension 3 in both shapes must be equal, but are 96 and 32. Shapes are [1,35,35,96] and [1,35,35,32].
From merging shape 2 with other shapes. for 'inception_v3/mixed_35x35x256a/concat/concat_dim' (op: 'Pack') with input shapes: [1,35,35,64], [1,35,35,64], [1,35,35,96], [1,35,35,32].please help in resolving this issue
Resolved the issue by editing the tf.concat function in inception_model.py
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Now i am getting the error in calculating positive score.
pos_score = np.exp(score[:, 1])/(np.exp(score[:, 1])+np.exp(score[:, 0]))
TypeError: tuple indices must be integers, not tuple
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Hi @jcthink, have you resolved the issue?
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I'm having the same initial issue as @jcthink . Could you explain how did you solve it?
UPDATE:
I think I solved it by downloading the latest version of https://github.com/tensorflow/models/tree/master/research/inception/inception and keeping the inception_model.py and BUILD as is.
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Now i am getting the error in calculating positive score.
pos_score = np.exp(score[:, 1])/(np.exp(score[:, 1])+np.exp(score[:, 0]))
TypeError: tuple indices must be integers, not tuple
Hi, bro. Have you already solved this problem? I came up with the same error...
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I'm having the same initial issue as @jcthink . Could you explain how did you solve it?
UPDATE:
I think I solved it by downloading the latest version of https://github.com/tensorflow/models/tree/master/research/inception/inception and keeping the inception_model.py and BUILD as is.
Hi, bro, I tried the same way, downloading the latest version to replace it, but the error still happens. Do you have any ideas?
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Related Issues (17)
- Dataset release HOT 4
- circles in example image seem a bit off HOT 2
- How must the satellite images look like? HOT 8
- Data Dictionary HOT 2
- License?
- Libraries mismatch : Python / requirements versions ? HOT 10
- Train and Eval Set not available HOT 21
- Access Denied for Training and Evaluation Dataset HOT 1
- Segmentation before Classification? HOT 2
- Low Recall Rate on the test set. HOT 3
- KeyError: 'r '
- TensorFlow SavedModels
- What's the image resolution?
- ImportError: No module named inception HOT 5
- generating the data list
- Link for inception Library HOT 1
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