/ServeTensorflowInCSharp

Let's compare the results of the model Inception V3 if we use c# instead of python

Primary LanguageC#

ServeTensorflowInCSharp

Let's consider the following image:

Example

Let's compare the results of the model Inception V3 if we use TensorFlowSharp (c#) instead of TensorFlow (python).

Label TensorFlow TensorFlowSharp
dummy 0.0000368240507669 0.00003381444000000
kit fox 0.0001495147880632 0.00014453140000000
English setter 0.0000872057134984 0.00008187198000000
Siberian husky 0.0000672979585943 0.00006730104000000
Australian terrier 0.0000622533771093 0.00005606212000000
English springer 0.0000364902625734 0.00003416507000000
grey whale 0.0000557607381779 0.00004978874000000
lesser panda 0.0000176537014340 0.00001699535000000
Egyptian cat 0.8147186636924744 0.84351500000000000
ibex 0.0000344633881468 0.00003263445000000
Persian cat 0.0002733957662713 0.00023066850000000
cougar 0.0000940313548199 0.00009165877000000
gazelle 0.0000283752888208 0.00002851867000000
porcupine 0.0000832021178212 0.00007991350000000
... ... ...

Well, it turn out they both tell us it's an egyptian cat. Further work is needed to find the reasons why there is a discrepancy in the results.

UPDATE 19th September, 2018:

Currently, the operation DecodeJpeg does not return exactly the same result. If we feed directly the same pixels to the c# version, the output is really similar to the python version.

Copyright and license

Code released under the MIT license.