jgespino
commented
4 years ago Hi @Ferhdez
The latest Image Classifications Sample Async does not include the -ni & -nireq options. Take a look at the README page. You can print the app help message with the -h option.
Regards, Jesus
Ferhdez
SUMMARY When using -ni and -nireq classifitaion_sample_async options with hyphens the applications come back with following error: ERROR: unknown command line flag 'ni' ERROR: unknown command line flag 'nireq'
STEPS TO REPRODUCE:
get wget, which, computer-vision-basic "swupd bundle-add wget which computer-vision-basic"
get car image "wget https://docs.seldon.io/projects/seldon-core/en/latest/_images/car.png"
get model_zoo_dir resnet-50 downlader "/cntr_workdir/open_model_zoo/model_downloader/downloader.py -o /cntr_workdir --name resnet-50"
Convert a Caffe* Model to produce an optimized Intermediate Representation (IR) of the model based on the trained network topology, weights, and biases values "python /usr/share/openvino/model-optimizer/mo_caffe.py --data_type=FP32 --input_shape=[1,3,224,224] --mean_values=data[104.0,117.0,123.0] --output=prob --input_model=resnet-50.caffemodel --input_proto=resnet-50.prototxt" [ SUCCESS ] Generated IR model. [ SUCCESS ] XML file: /cntr_workdir/classification/resnet/v1/50/caffe/./resnet-50.xml [ SUCCESS ] BIN file: /cntr_workdir/classification/resnet/v1/50/caffe/./resnet-50.bin [ SUCCESS ] Total execution time: 25.00 seconds.
Test the model in the IR format using the Inference Engine in the target environment via provided Inference Engine validation application. root@fabddfe81ca3/workspace # classification_sample_async -i /cntr_workdir/car.png -m /cntr_workdir/classification/resnet/v1/50/caffe/resnet-50.xml -ni 100 -nireq 4 [ INFO ] InferenceEngine: API version ............ 2.0 Build .................. custom__ Description ....... API [ INFO ] Parsing input parameters ERROR: unknown command line flag 'ni' ERROR: unknown command line flag 'nireq'
EXPECTED RESULT Able to run the classification_sample_async application with '-ni' '-nireq' Options "classification_sample_async -i /cntr_workdir/image_infer_t.jpeg -m /cntr_workdir/classification/resnet/v1/50/caffe/resnet-50.xml -ni 100 -nireq 4" [ INFO ] InferenceEngine: API version ............ 2.0 Build .................. custom__ Description ....... API [ INFO ] Parsing input parameters [ INFO ] Parsing input parameters [ INFO ] Files were added: 1 [ INFO ] /cntr_workdir/car.png [ INFO ] Creating Inference Engine CPU MKLDNNPlugin version ......... 2.1 Build ........... custom_v2019_R3.1_fe3f978b98c86eaeed3cbdc280e1ffd0bc50d278
[ INFO ] Loading network files [ INFO ] Preparing input blobs [ WARNING ] Image is resized from (787, 259) to (224, 224) [ INFO ] Batch size is 1 [ INFO ] Loading model to the device [ INFO ] Create infer request [ INFO ] Start inference (10 asynchronous executions) [ INFO ] Completed 1 async request execution [ INFO ] Completed 2 async request execution [ INFO ] Completed 3 async request execution [ INFO ] Completed 4 async request execution [ INFO ] Completed 5 async request execution [ INFO ] Completed 6 async request execution [ INFO ] Completed 7 async request execution [ INFO ] Completed 8 async request execution [ INFO ] Completed 9 async request execution [ INFO ] Completed 10 async request execution [ INFO ] Processing output blobs
Top 10 results:
Image /cntr_workdir/car.png
classid probability
717 0.3228686 817 0.1538750 581 0.1423150 479 0.0849617 436 0.0527374 468 0.0428489 705 0.0232187 511 0.0191299 751 0.0189609 704 0.0109762
ACTUAL RESULT Classification_sample_async app failing when using hypens options. root@fabddfe81ca3/workspace # classification_sample_async -i /cntr_workdir/car.png -m /cntr_workdir/classification/resnet/v1/50/caffe/resnet-50.xml -ni 100 -nireq 4 [ INFO ] InferenceEngine: API version ............ 2.0 Build .................. custom__ Description ....... API [ INFO ] Parsing input parameters ERROR: unknown command line flag 'ni' ERROR: unknown command line flag 'nireq'