rresults of running ~/openncc/Platform/Linux/Ubuntu/Example/How_to/OpenNCC-EMMC/VSC/How_to_use_sdk$ make run make run ./script/clone.sh Please make sure you have backed up lib or bin(y or n)y copy lib/libOpenNCC.a .... mkdir bin.... copy blob.... TEST_SOURCES: cls_demo_show.cpp obj_detection_demo_show.cpp face_detection_demo_show.cpp vehicle_license_plate_detection_barrier.cpp main.cpp g++ -std=c++11 -o OpenNCC cls_demo_show.o obj_detection_demo_show.o face_detection_demo_show.o vehicle_license_plate_detection_barrier.o main.o lib/libOpenNCC.a -I./inc -I/usr/include/opencv4 -DUSE_WD -D__PC__ `pkg-config opencv4 --cflags --libs` -lrt -ldl -lusb-1.0 -lpthread mv OpenNCC bin/ sudo ./script/run.sh Please input number[0..3] example #0 support one ai net example [default] face blob #1 two ai net vehicle_license_plate_detection_barrier #2 one ai net and 2 input #3 used call back to get data from ncc device number:3 test example:use call back device opened 1D6B:0003 (usbver:30, bus 2, device 1) 8087:0A2A (usbver:20, bus 1, device 4) path: 7 outEndPoint:[2] inEndPoint:[82] 04F2:B56D (usbver:20, bus 1, device 3) path: 4 03E7:F63D (usbver:21, bus 1, device 9)get our self usb device ver:21 path: 2 inEndPoint:[81] inEndPoint:[82] outEndPoint:[1] 0781:5567 (usbver:21, bus 1, device 2) path: 1 inEndPoint:[81] outEndPoint:[2] 1D6B:0002 (usbver:20, bus 1, device 1) error code: -6 Cannot claim interface vsc_init err usb sersion:21 list num:0 12:02:28 : sdk/sdk.cpp(980) initstatus ret:-1 12:02:28 : sdk/sdk.cpp(984) init status error xlink_init -1 camera_video_out YUV420p 2 then it just hangs.

The primary problem seems to be that the inference engine cannot find the device: $ python3 /opt/intel/openvino_2021/inference_engine/samples/python/hello_query_device/hello_query_device.py [ INFO ] Creating Inference Engine [ INFO ] Available devices: [ INFO ] CPU : [ INFO ] SUPPORTED_METRICS: [ INFO ] AVAILABLE_DEVICES: [ INFO ] FULL_DEVICE_NAME: Intel(R) Core(TM) i5-6300HQ CPU @ 2.30GHz [ INFO ] OPTIMIZATION_CAPABILITIES: FP32, FP16, INT8, BIN [ INFO ] RANGE_FOR_ASYNC_INFER_REQUESTS: 1, 1, 1 [ INFO ] RANGE_FOR_STREAMS: 1, 4 [ INFO ] [ INFO ] SUPPORTED_CONFIG_KEYS (default values): [ INFO ] CPU_BIND_THREAD: YES [ INFO ] CPU_THREADS_NUM: 0 [ INFO ] CPU_THROUGHPUT_STREAMS: 1 [ INFO ] DUMP_EXEC_GRAPH_AS_DOT: [ INFO ] DYN_BATCH_ENABLED: NO [ INFO ] DYN_BATCH_LIMIT: 0 [ INFO ] ENFORCE_BF16: NO [ INFO ] EXCLUSIVE_ASYNC_REQUESTS: NO [ INFO ] PERF_COUNT: NO [ INFO ] [ INFO ] GNA : [ INFO ] SUPPORTED_METRICS: [ INFO ] GNA_LIBRARY_FULL_VERSION: 3.0.0.1377 [ INFO ] FULL_DEVICE_NAME: GNA_SW [ INFO ] IMPORT_EXPORT_SUPPORT: True [ INFO ] OPTIMAL_NUMBER_OF_INFER_REQUESTS: 1 [ INFO ] AVAILABLE_DEVICES: GNA_SW [ INFO ] [ INFO ] SUPPORTED_CONFIG_KEYS (default values): [ INFO ] EXCLUSIVE_ASYNC_REQUESTS: NO [ INFO ] GNA_COMPACT_MODE: NO [ INFO ] GNA_COMPILE_TARGET: [ INFO ] GNA_DEVICE_MODE: GNA_SW_EXACT [ INFO ] GNA_EXEC_TARGET: [ INFO ] GNA_FIRMWARE_MODEL_IMAGE: [ INFO ] GNA_FIRMWARE_MODEL_IMAGE_GENERATION: [ INFO ] GNA_LIB_N_THREADS: 1 [ INFO ] GNA_PRECISION: I16 [ INFO ] GNA_PWL_MAX_ERROR_PERCENT: 1.000000 [ INFO ] GNA_PWL_UNIFORM_DESIGN: NO [ INFO ] GNA_SCALE_FACTOR: 1.000000 [ INFO ] GNA_SCALE_FACTOR_0: 1.000000 [ INFO ] PERF_COUNT: NO [ INFO ] SINGLE_THREAD: YES [ INFO ] ~/inference_engine_cpp_samples_build/intel64/Release$ ./hello_query_device Loading Inference Engine Available devices: CPU SUPPORTED_METRICS: AVAILABLE_DEVICES : [ ] FULL_DEVICE_NAME : Intel(R) Core(TM) i5-6300HQ CPU @ 2.30GHz OPTIMIZATION_CAPABILITIES : [ FP32 FP16 INT8 BIN ] RANGE_FOR_ASYNC_INFER_REQUESTS : { 1, 1, 1 } RANGE_FOR_STREAMS : { 1, 4 } SUPPORTED_CONFIG_KEYS (default values): CPU_BIND_THREAD : YES CPU_THREADS_NUM : 0 CPU_THROUGHPUT_STREAMS : 1 DUMP_EXEC_GRAPH_AS_DOT : "" DYN_BATCH_ENABLED : NO DYN_BATCH_LIMIT : 0 ENFORCE_BF16 : NO EXCLUSIVE_ASYNC_REQUESTS : NO PERF_COUNT : NO GNA SUPPORTED_METRICS: GNA_LIBRARY_FULL_VERSION : 3.0.0.1377 FULL_DEVICE_NAME : GNA_SW IMPORT_EXPORT_SUPPORT : true OPTIMAL_NUMBER_OF_INFER_REQUESTS : 1 AVAILABLE_DEVICES : [ GNA_SW ] SUPPORTED_CONFIG_KEYS (default values): EXCLUSIVE_ASYNC_REQUESTS : NO GNA_COMPACT_MODE : NO GNA_COMPILE_TARGET : "" GNA_DEVICE_MODE : GNA_SW_EXACT GNA_EXEC_TARGET : "" GNA_FIRMWARE_MODEL_IMAGE : "" GNA_FIRMWARE_MODEL_IMAGE_GENERATION : "" GNA_LIB_N_THREADS : 1 GNA_PRECISION : I16 GNA_PWL_MAX_ERROR_PERCENT : 1.000000 GNA_PWL_UNIFORM_DESIGN : NO GNA_SCALE_FACTOR : 1.000000 GNA_SCALE_FACTOR_0 : 1.000000 PERF_COUNT : NO SINGLE_THREAD : YES