Error on dataset download

[meher-chinmaya]

I downloaded the ped2 data from the Baidu link which is in.rpm file format, then I converted the file into .tar.gz format and extracted it using the command tar -xvf ped1.tar.gz in the shell and the data is in .cpio format now.

Then I run the command to test on the save models. The code is running but I am getting output as:

test inputs = Tensor("dataset/strided_slice:0", shape=(1, 256, 256, 12), dtype=float32)
test prediction gt = Tensor("dataset/strided_slice_1:0", shape=(1, 256, 256, 3), dtype=float32)
testing = generator
2022-04-05 00:45:19.075695: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 AVX512F FMA
Init global successfully!
waiting for models...

optimal result and model = dataset = None, loss file = None, auc = -inf

I think the code is not able to get the data as the file format is .cpio. and after extraction of .tar.gz file it should be converted to image file format(.jpg or .tif) instead of .cpio format.

[harveyzoka]

Hello, I'm facing the same mistake as you. Has your problem been solved?

[meher-chinmaya]

Hello, No, the problem is not solved. Regards, Chinmaya Meher

…

On Mon, Mar 6, 2023 at 7:00 PM harveyzoka ***@***.***> wrote: Hello, I'm facing the same mistake as you. Has your problem been solved? — Reply to this email directly, view it on GitHub <#62 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/APHP5DCTUI5XIHLBZLUUQXLW2XRGNANCNFSM5SPT75ZQ> . You are receiving this because you authored the thread.Message ID: ***@***.***>

[Harshu2032000]

I'm also facing same issue.

Variable: conv2d_12/bias:0, Shape: (64,)
Variable: conv2d_13/kernel:0, Shape: (3, 3, 64, 64)
Variable: conv2d_13/bias:0, Shape: (64,)
Variable: conv2d_14/kernel:0, Shape: (3, 3, 64, 3)
Variable: conv2d_14/bias:0, Shape: (3,)
Waiting for models...

optimal result and model = dataset = None, loss file = None, auc = -inf

Waiting for models...

optimal result and model = dataset = None, loss file = None, auc = -inf

Waiting for models...

optimal result and model = dataset = None, loss file = None, auc = -inf

^CTraceback (most recent call last):
File "inference.py", line 148, in
time.sleep(60)
KeyboardInterrupt