ISSUE SOLVED :: Error with custom uploaded non-annotated input data (DL Workbench)

[niclas1992]

Hello,

I uploaded and converted an onnx model to IR format using the Openvino DL Workbench. For input data I chose the gray scale images I used when training the network also, and uploaded 100 of them packed in a zip  structure. When trying inference, following Error occurs:

[ ERROR ] 'NoneType' object has no attribute 'shape'
Traceback (most recent call last):
File "/usr/local/lib/python3.8/dist-packages/openvino/tools/benchmark/main.py", line 375, in run
data_queue = get_input_data(paths_to_input, app_inputs_info)
File "/usr/local/lib/python3.8/dist-packages/openvino/tools/benchmark/utils/inputs_filling.py", line 113, in get_input_data
data[port] = get_image_tensors(image_mapping[info.name][:images_to_be_used_map[info.name]], info, batch_sizes_map[info.name])
File "/usr/local/lib/python3.8/dist-packages/openvino/tools/benchmark/utils/inputs_filling.py", line 155, in get_image_tensors
if image.shape[:-1] != new_im_size:
AttributeError: 'NoneType' object has no attribute 'shape'

 I attached the corresponding server_log.

For further information if useful: Before I used the default images which got rejected for another error because of having three channels (not grayscale) while my network is using 1 channel as input.

Best Regards

Niclas

[niclas1992]

Hello,

sorry for the inconvenience, the error consisted in using the wrong image format (.webp)

Regards Niclas

[Hairul_Intel]

Hi Niclas,

Thank you for reaching out to us.

For sharing purposes, the Not Annotated Datasets uses .jpg image format. The archive for not annotated dataset is organized as follows:

|-- 0001.jpg

|-- 0002.jpg

|...

|-- n.jpg

This thread will no longer be monitored since this issue has been resolved. If you need any additional information from Intel, please submit a new question.

Regards,

Hairul