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Extraneous detection boxes on sample input using pre-trained weight file #27
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Same problem here, i don't know what is causing this problem. I also tested it with another set of pictures with numbers, same result with the pre-trained weight file. |
The above phenomenon can not be reproduced in my execution environment. Please check keras version and tensorflow version. |
same issue here |
I got the same issue , but when I installed the tensorflow , keras versions as mentioned in the readme , it worked perfectly. Looks like heavily dependent on the older version of tensorflow |
If there is that heavy a version dependency, that is highly problematic. It
suggests the model isn't doing what we think it's doing.
…On Mon, Jun 10, 2019, 8:38 AM amitbhatkal ***@***.***> wrote:
I got the same issue , but when I installed the tensorflow , keras
versions as mentioned in the readme , it worked perfectly. Looks like
heavily dependent on the older version of tensorflow
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With a bit of testing , I found that , it may only be dependent on the Keras version. |
@Amit12690 thank you for testing |
I get the same problem even with the versions of tensorflow and keras being used by the author of the software. Any suggestion, @penny4860 ? I am using ubuntu, and i notice that you used windows. Could there be some dependency I am missing? |
same issue here. |
See attached images. It looks like the "actual" digits are being picked up correctly, but the results are getting clouded by a large number of '1.00' boxes. The two images reported:
That was with the threshold pushed all the way up to 0.99999. With the threshold at the original 0.3, the number of boxes is 64 and 87.
![Screen Shot 2019-05-09 at 12 56 58 PM](https://user-images.githubusercontent.com/12688219/57482850-8a095000-725a-11e9-8a4d-53175bdaa412.png)
![Screen Shot 2019-05-09 at 12 57 12 PM](https://user-images.githubusercontent.com/12688219/57482851-8a095000-725a-11e9-9f33-1d0ce94df7bc.png)
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