AIGirl10

@MarsTechHAN Model link: https://drive.google.com/drive/folders/1--ZzTFtdDkgRxsezZfW65is5KVBfJh8I?usp=sharing Full c++ inference program ```cpp #include #include #include #include #include #include #include #include "dirent.h" #include "net.h" using namespace cv::ml; using namespace std; using namespace cv; /*...

Uploaded kerass model same folder here: https://drive.google.com/drive/folders/1--ZzTFtdDkgRxsezZfW65is5KVBfJh8I?usp=sharing

yes, same for me too. But will try to print the output of first layer in both keras and NCNN, then we might be able to solve it. Will let...

@MarsTechHAN Image is updated in the same drive link: https://drive.google.com/drive/folders/1--ZzTFtdDkgRxsezZfW65is5KVBfJh8I?usp=sharing Expected output: **0** where **0** is the label index.

@MarsTechHAN How did you print [these](https://github.com/MarsTechHAN/keras2ncnn/issues/29#issuecomment-815892835) values ? If possible can you please help me with the program which prints it ?

@MarsTechHAN One thing I noticed is this, in keras the dimensions of input are `type: float32[?,128,128,3]` and in NCNN is `type: float32[128,128,3]` Keras is 4D and NCNN is 3D, do...

@MarsTechHAN While using the debugger I am getting this error ```sh python3 -mkeras2ncnn -i cnn128.h5 -d ``` error ```sh ValueError: ('Unrecognized keyword arguments:', dict_keys(['ragged'])) ```

@leeys888 please check this issue.

@rchglev can you please tell how did you do it ?

> @dongjunjundong > MXNet has support up to ONNX v1.3.0. [BatchNormalization (Opset7)](https://github.com/onnx/onnx/blob/master/docs/Changelog.md#BatchNormalization-7) had a an attribute "spatial" which is being exported from MXNet to ONNX. Looks like this attribute has...