Emmanuel Benazera

As a 'feeling lucky' potential quick fix, you may want to try adding: ``` transform_param { scale: 0.004 } ``` to the `MemoryData` layer.

Another related thought is that your network is very likely to come either with a `mean.binaryproto` file, either with a 3-D array of `mean values` (e.g. [127,138,117]). You may want...

The related DIGITS classification code appears to be located here: https://github.com/NVIDIA/DIGITS/blob/5174621bac8f4d079e0d9abe75e872b49415782e/examples/classification/example.py You may want to try predicting with the script above and make sure you have the correct results there.

> I have tested with the classification code already. The results there are consistent with what I get from digits. Then you can use the script to find the discrepancy:...

> Will there be support in future to add some sort of alternate load-image function parameters for deep detect in future? I don't think so. The best solution is to...

> By writing an additional script with additional dependencies to preload/transform the submitted image I believe you may have misunderstood my comment https://github.com/beniz/deepdetect/issues/356#issuecomment-338020905. My recommendation is for you to modify...

@cchadowitz-pf Hi, I was expecting you to close #325 in fact :) What does it boil down to, finding how PIL differs from other image loading libraries ? If yes,...

have you looked at #126 ?

Are you sure that you have executed the following: ``` sudo apt-get remove libcurlpp0 ``` The line `/usr/include/curlpp/` is suspicious, if you had compiled and curlpp from sources it should...

`curlpp` has not changed since March 2015, and I don't remember anyone reporting the problem above. So it is very likely something is wrongly set on your system. Try to...