OpenVINO Python samples #22

patrabax · 2019-01-09T17:34:07Z

Python implementation for classification is for usage in hardware-heterogeneity workshop module.

root@intel-Default-string:/opt/intel/computer_vision_sdk_2018.5.431/deployment_tools/inference_engine/samples/python_samples# python3 classification_sample.py -i /opt/intel/computer_vision_sdk_2018.5.431/deployment_tools/demo/car_1.bmp -m /opt/intel/workshop/smart-video-workshop/object-detection/squeezenet1.1.xml -d HETERO:CPU,GPU -pc
[ INFO ] Loading network files:
	/opt/intel/workshop/smart-video-workshop/object-detection/squeezenet1.1.xml
	/opt/intel/workshop/smart-video-workshop/object-detection/squeezenet1.1.bin
classification_sample.py:65: DeprecationWarning: from_ir() method of IENetwork is deprecated. Please use IENetwork class constructor to create valid IENetwork instance
  net = IENetwork.from_ir(model=model_xml, weights=model_bin)
[ INFO ] Preparing input blobs
[ WARNING ] Image /opt/intel/computer_vision_sdk_2018.5.431/deployment_tools/demo/car_1.bmp is resized from (637, 749) to (227, 227)
[ INFO ] Batch size is 1
[ INFO ] Loading model to the plugin
[ INFO ] Starting inference (1 iterations)
[ INFO ] Processing output blob
[ INFO ] Top 10 results: 
Image /opt/intel/computer_vision_sdk_2018.5.431/deployment_tools/demo/car_1.bmp

899  0.2101035 label water jug
882  0.1619391 label vacuum, vacuum cleaner
438  0.0896354 label beaker
804  0.0695653 label soap dispenser
898  0.0602502 label water bottle
503  0.0573366 label cocktail shaker
818  0.0302898 label spotlight, spot
505  0.0283234 label coffeepot
604  0.0228083 label hourglass
859  0.0183770 label toaster


[ INFO ] Average running time of one iteration: 4.743099212646484 ms
[ INFO ] total running time of inference: 4.743099212646484 ms
[ INFO ] Throughput: 210.8326128480949 FPS


performance counts:

subgraph0: conv10                        EXECUTED        layerType: Convolution     realTime: 823   cpu:  823   execType:  jit_avx2_1x1_FP32
subgraph0: fire2/relu_expand3x3          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire3/relu_expand1x1          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire4/relu_expand3x3          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire5/relu_expand3x3          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire9/squeeze1x1              EXECUTED        layerType: Convolution     realTime: 56    cpu:  56    execType:  jit_avx2_1x1_FP32
subgraph0: fire6/relu_expand3x3          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire3/expand1x1               EXECUTED        layerType: Convolution     realTime: 29    cpu:  29    execType:  jit_avx2_1x1_FP32
subgraph0: fire4/squeeze1x1              EXECUTED        layerType: Convolution     realTime: 30    cpu:  30    execType:  jit_avx2_1x1_FP32
subgraph0: fire5/relu_expand1x1          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire7/expand3x3               EXECUTED        layerType: Convolution     realTime: 140   cpu:  140   execType:  jit_avx2_FP32  
subgraph0: fire3/expand3x3               EXECUTED        layerType: Convolution     realTime: 212   cpu:  212   execType:  jit_avx2_FP32  
subgraph0: fire3/concat                  NOT_RUN         layerType: Concat          realTime: 0     cpu:  0     execType:  unknown_FP32   
subgraph0: fire7/relu_expand3x3          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire9/expand1x1               EXECUTED        layerType: Convolution     realTime: 30    cpu:  30    execType:  jit_avx2_1x1_FP32
subgraph0: fire3/relu_squeeze1x1         NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire6/concat                  NOT_RUN         layerType: Concat          realTime: 0     cpu:  0     execType:  unknown_FP32   
subgraph0: fire2/squeeze1x1              EXECUTED        layerType: Convolution     realTime: 33    cpu:  33    execType:  jit_avx2_1x1_FP32
subgraph0: fire9/concat                  NOT_RUN         layerType: Concat          realTime: 0     cpu:  0     execType:  unknown_FP32   
subgraph0: fire6/expand3x3               EXECUTED        layerType: Convolution     realTime: 137   cpu:  137   execType:  jit_avx2_FP32  
subgraph0: fire9/relu_expand1x1          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire5/squeeze1x1              EXECUTED        layerType: Convolution     realTime: 56    cpu:  56    execType:  jit_avx2_1x1_FP32
subgraph0: fire8/expand1x1               EXECUTED        layerType: Convolution     realTime: 31    cpu:  31    execType:  jit_avx2_1x1_FP32
subgraph0: fire2/concat                  NOT_RUN         layerType: Concat          realTime: 0     cpu:  0     execType:  unknown_FP32   
subgraph0: fire8/relu_expand3x3          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire6/expand1x1               EXECUTED        layerType: Convolution     realTime: 18    cpu:  18    execType:  jit_avx2_1x1_FP32
subgraph0: pool3                         EXECUTED        layerType: Pooling         realTime: 35    cpu:  35    execType:  jit_avx_FP32   
subgraph0: fire8/relu_squeeze1x1         NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire8/concat                  NOT_RUN         layerType: Concat          realTime: 0     cpu:  0     execType:  unknown_FP32   
subgraph0: prob_nChw8c_nchw_out_prob     EXECUTED        layerType: Reorder         realTime: 3     cpu:  3     execType:  reorder_FP32   
subgraph0: fire7/expand1x1               EXECUTED        layerType: Convolution     realTime: 18    cpu:  18    execType:  jit_avx2_1x1_FP32
subgraph0: fire8/squeeze1x1              EXECUTED        layerType: Convolution     realTime: 43    cpu:  43    execType:  jit_avx2_1x1_FP32
subgraph0: fire8/expand3x3               EXECUTED        layerType: Convolution     realTime: 248   cpu:  248   execType:  jit_avx2_FP32  
subgraph0: fire4/expand1x1               EXECUTED        layerType: Convolution     realTime: 29    cpu:  29    execType:  jit_avx2_1x1_FP32
subgraph0: fire9/relu_expand3x3          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire4/expand3x3               EXECUTED        layerType: Convolution     realTime: 219   cpu:  219   execType:  jit_avx2_FP32  
subgraph0: fire6/relu_squeeze1x1         NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire3/squeeze1x1              EXECUTED        layerType: Convolution     realTime: 57    cpu:  57    execType:  jit_avx2_1x1_FP32
subgraph0: fire5/relu_squeeze1x1         NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: pool5                         EXECUTED        layerType: Pooling         realTime: 24    cpu:  24    execType:  jit_avx_FP32   
subgraph0: fire2/relu_expand1x1          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire4/relu_expand1x1          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: conv1                         EXECUTED        layerType: Convolution     realTime: 473   cpu:  473   execType:  jit_avx2_FP32  
subgraph0: fire2/relu_squeeze1x1         NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire4/concat                  NOT_RUN         layerType: Concat          realTime: 0     cpu:  0     execType:  unknown_FP32   
subgraph0: fire6/relu_expand1x1          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: pool10                        EXECUTED        layerType: Pooling         realTime: 14    cpu:  14    execType:  jit_avx_FP32   
subgraph0: fire7/relu_expand1x1          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: prob                          EXECUTED        layerType: SoftMax         realTime: 280   cpu:  280   execType:  ref_any_FP32   
subgraph0: fire7/relu_squeeze1x1         NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: out_prob                      NOT_RUN         layerType: Output          realTime: 0     cpu:  0     execType:  unknown_FP32   
subgraph0: fire7/concat                  NOT_RUN         layerType: Concat          realTime: 0     cpu:  0     execType:  unknown_FP32   
subgraph0: fire2/expand1x1               EXECUTED        layerType: Convolution     realTime: 36    cpu:  36    execType:  jit_avx2_1x1_FP32
subgraph0: fire4/relu_squeeze1x1         NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire3/relu_expand3x3          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire5/expand1x1               EXECUTED        layerType: Convolution     realTime: 28    cpu:  28    execType:  jit_avx2_1x1_FP32
subgraph0: fire9/expand3x3               EXECUTED        layerType: Convolution     realTime: 246   cpu:  246   execType:  jit_avx2_FP32  
subgraph0: fire6/squeeze1x1              EXECUTED        layerType: Convolution     realTime: 24    cpu:  24    execType:  jit_avx2_1x1_FP32
subgraph0: fire2/expand3x3               EXECUTED        layerType: Convolution     realTime: 212   cpu:  212   execType:  jit_avx2_FP32  
subgraph0: relu_conv1                    NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire9/relu_squeeze1x1         NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire5/concat                  NOT_RUN         layerType: Concat          realTime: 0     cpu:  0     execType:  unknown_FP32   
subgraph0: pool1                         EXECUTED        layerType: Pooling         realTime: 328   cpu:  328   execType:  jit_avx_FP32   
subgraph0: fire5/expand3x3               EXECUTED        layerType: Convolution     realTime: 237   cpu:  237   execType:  jit_avx2_FP32  
subgraph0: fire7/squeeze1x1              EXECUTED        layerType: Convolution     realTime: 33    cpu:  33    execType:  jit_avx2_1x1_FP32
subgraph0: relu_conv10                   NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire8/relu_expand1x1          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
TotalTime:           4182    microseconds        
[ INFO ] Execution successful
root@intel-Default-string:/opt/intel/computer_vision_sdk_2018.5.431/deployment_tools/inference_engine/samples/python_samples# python3 classification_sample.py -i /opt/intel/computer_vision_sdk_2018.5.431/deployment_tools/demo/car_1.bmp -m /opt/intel/workshop/smart-video-workshop/object-detection/squeezenet1.1.xml -d HETERO:GPU,CPU -pc
[ INFO ] Loading network files:
	/opt/intel/workshop/smart-video-workshop/object-detection/squeezenet1.1.xml
	/opt/intel/workshop/smart-video-workshop/object-detection/squeezenet1.1.bin
classification_sample.py:65: DeprecationWarning: from_ir() method of IENetwork is deprecated. Please use IENetwork class constructor to create valid IENetwork instance
  net = IENetwork.from_ir(model=model_xml, weights=model_bin)
[ INFO ] Preparing input blobs
[ WARNING ] Image /opt/intel/computer_vision_sdk_2018.5.431/deployment_tools/demo/car_1.bmp is resized from (637, 749) to (227, 227)
[ INFO ] Batch size is 1
[ INFO ] Loading model to the plugin
[ INFO ] Starting inference (1 iterations)
[ INFO ] Processing output blob
[ INFO ] Top 10 results: 
Image /opt/intel/computer_vision_sdk_2018.5.431/deployment_tools/demo/car_1.bmp

899  0.2101042 label water jug
882  0.1619387 label vacuum, vacuum cleaner
438  0.0896353 label beaker
804  0.0695648 label soap dispenser
898  0.0602503 label water bottle
503  0.0573367 label cocktail shaker
818  0.0302897 label spotlight, spot
505  0.0283233 label coffeepot
604  0.0228082 label hourglass
859  0.0183771 label toaster


[ INFO ] Average running time of one iteration: 7.160186767578125 ms
[ INFO ] total running time of inference: 7.160186767578125 ms
[ INFO ] Throughput: 139.66116142781033 FPS


performance counts:

subgraph0: fire2/relu_squeeze1x1         NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire3/expand1x1               EXECUTED        layerType: Convolution     realTime: 162   cpu:  4     execType:  convolution_gpu_bfyx_gemm_like
subgraph0: fire5/relu_expand3x3          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire2/expand1x1               EXECUTED        layerType: Convolution     realTime: 131   cpu:  5     execType:  convolution_gpu_bfyx_gemm_like
subgraph0: fire6/relu_expand3x3          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire7/expand3x3               EXECUTED        layerType: Convolution     realTime: 140   cpu:  4     execType:  convolution_gpu_bfyx_os_iyx_osv16
subgraph0: fire3/squeeze1x1              EXECUTED        layerType: Convolution     realTime: 102   cpu:  5     execType:  convolution_gpu_bfyx_os_iyx_osv16
subgraph0: fire7/relu_expand1x1          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire3/concat                  OPTIMIZED_OUT   layerType: Concat          realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire7/expand1x1               EXECUTED        layerType: Convolution     realTime: 72    cpu:  4     execType:  convolution_gpu_bfyx_gemm_like
subgraph0: fire2/concat                  OPTIMIZED_OUT   layerType: Concat          realTime: 0     cpu:  0     execType:  undef          
subgraph0: pool3                         EXECUTED        layerType: Pooling         realTime: 78    cpu:  4     execType:  pooling_gpu_ref
subgraph0: fire6/relu_expand1x1          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire7/concat                  OPTIMIZED_OUT   layerType: Concat          realTime: 0     cpu:  0     execType:  undef          
subgraph0: conv1                         EXECUTED        layerType: Convolution     realTime: 457   cpu:  11    execType:  convolution_gpu_bfyx_gemm_like
subgraph0: prob                          NOT_RUN         layerType: SoftMax         realTime: 0     cpu:  0     execType:  undef          
subgraph0: relu_conv1                    NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire3/relu_expand3x3          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: relu_conv10                   NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire9/relu_expand1x1          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: data_cldnn_input_preprocess   NOT_RUN         layerType: Reorder         realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire9/expand1x1               EXECUTED        layerType: Convolution     realTime: 83    cpu:  4     execType:  convolution_gpu_bfyx_gemm_like
subgraph0: fire5/relu_squeeze1x1         NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: pool5                         EXECUTED        layerType: Pooling         realTime: 60    cpu:  4     execType:  pooling_gpu_ref
subgraph0: fire2/relu_expand1x1          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire3/relu_expand1x1          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire5/concat                  OPTIMIZED_OUT   layerType: Concat          realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire9/expand3x3               EXECUTED        layerType: Convolution     realTime: 236   cpu:  4     execType:  convolution_gpu_bfyx_os_iyx_osv16
subgraph0: fire3/expand3x3               EXECUTED        layerType: Convolution     realTime: 241   cpu:  4     execType:  convolution_gpu_bfyx_gemm_like
subgraph0: fire4/expand3x3               EXECUTED        layerType: Convolution     realTime: 245   cpu:  4     execType:  convolution_gpu_bfyx_os_iyx_osv16
subgraph0: fire8/concat                  OPTIMIZED_OUT   layerType: Concat          realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire5/squeeze1x1              EXECUTED        layerType: Convolution     realTime: 63    cpu:  4     execType:  convolution_gpu_bfyx_os_iyx_osv16
subgraph0: fire8/relu_squeeze1x1         NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire9/relu_expand3x3          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire6/concat                  OPTIMIZED_OUT   layerType: Concat          realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire4/expand1x1               EXECUTED        layerType: Convolution     realTime: 118   cpu:  5     execType:  convolution_gpu_bfyx_gemm_like
subgraph0: fire8/squeeze1x1              EXECUTED        layerType: Convolution     realTime: 52    cpu:  4     execType:  convolution_gpu_bfyx_os_iyx_osv16
subgraph0: fire8/expand3x3               EXECUTED        layerType: Convolution     realTime: 235   cpu:  4     execType:  convolution_gpu_bfyx_os_iyx_osv16
subgraph0: fire8/relu_expand1x1          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire2/relu_expand3x3          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire6/relu_squeeze1x1         NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire5/expand3x3               EXECUTED        layerType: Convolution     realTime: 252   cpu:  4     execType:  convolution_gpu_bfyx_os_iyx_osv16
subgraph0: fire4/relu_squeeze1x1         NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire6/expand1x1               EXECUTED        layerType: Convolution     realTime: 70    cpu:  4     execType:  convolution_gpu_bfyx_gemm_like
subgraph0: fire9/relu_squeeze1x1         NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: pool1                         EXECUTED        layerType: Pooling         realTime: 148   cpu:  5     execType:  pooling_gpu_bfyx_block_opt
subgraph0: fire8/relu_expand3x3          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: conv10                        EXECUTED        layerType: Convolution     realTime: 854   cpu:  4     execType:  convolution_gpu_bfyx_os_iyx_osv16
subgraph0: fire7/relu_squeeze1x1         NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire9/squeeze1x1              EXECUTED        layerType: Convolution     realTime: 69    cpu:  4     execType:  convolution_gpu_bfyx_os_iyx_osv16
subgraph0: fire8/expand1x1               EXECUTED        layerType: Convolution     realTime: 86    cpu:  4     execType:  convolution_gpu_bfyx_gemm_like
subgraph0: fire6/expand3x3               EXECUTED        layerType: Convolution     realTime: 140   cpu:  4     execType:  convolution_gpu_bfyx_os_iyx_osv16
subgraph0: pool10                        EXECUTED        layerType: Pooling         realTime: 159   cpu:  4     execType:  pooling_gpu_ref
subgraph0: fire5/relu_expand1x1          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: prob_cldnn_output_postprocess EXECUTED        layerType: Reorder         realTime: 18    cpu:  4     execType:  softmax_gpu_bf 
subgraph0: fire7/squeeze1x1              EXECUTED        layerType: Convolution     realTime: 50    cpu:  8     execType:  convolution_gpu_bfyx_os_iyx_osv16
subgraph0: fire6/squeeze1x1              EXECUTED        layerType: Convolution     realTime: 41    cpu:  4     execType:  convolution_gpu_bfyx_os_iyx_osv16
subgraph0: fire4/relu_expand3x3          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire2/squeeze1x1              EXECUTED        layerType: Convolution     realTime: 59    cpu:  5     execType:  convolution_gpu_bfyx_os_iyx_osv16
subgraph0: fire7/relu_expand3x3          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire4/concat                  OPTIMIZED_OUT   layerType: Concat          realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire5/expand1x1               EXECUTED        layerType: Convolution     realTime: 115   cpu:  4     execType:  convolution_gpu_bfyx_gemm_like
subgraph0: fire2/expand3x3               EXECUTED        layerType: Convolution     realTime: 239   cpu:  4     execType:  convolution_gpu_bfyx_gemm_like
subgraph0: fire4/squeeze1x1              EXECUTED        layerType: Convolution     realTime: 47    cpu:  4     execType:  convolution_gpu_bfyx_os_iyx_osv16
subgraph0: fire3/relu_squeeze1x1         NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire9/concat                  OPTIMIZED_OUT   layerType: Concat          realTime: 0     cpu:  0     execType:  undef          
subgraph0: fire4/relu_expand1x1          NOT_RUN         layerType: ReLU            realTime: 0     cpu:  0     execType:  undef          
TotalTime:           4822    microseconds        
[ INFO ] Execution successful

patrabax · 2019-01-23T15:45:29Z

Python implementation for security_barrier_camera sample is for usage in advanced video analytics workshop module.

python3 security_barrier_camera.py -i /opt/intel/computer_vision_sdk_2018.5.431/deployment_tools/demo/car_1.bmp -m /opt/intel/computer_vision_sdk_2018.5.431/deployment_tools/intel_models/vehicle-license-plate-detection-barrier-0106/FP32/vehicle-license-plate-detection-barrier-0106.xml -m_va /opt/intel/computer_vision_sdk_2018.5.431/deployment_tools/intel_models/vehicle-attributes-recognition-barrier-0039/FP32/vehicle-attributes-recognition-barrier-0039.xml -m_lpr /opt/intel/computer_vision_sdk_2018.5.431/deployment_tools/intel_models/license-plate-recognition-barrier-0001/FP32/license-plate-recognition-barrier-0001.xml -d CPU

basantaxpatra added 2 commits January 9, 2019 22:57

Python - classification sample

50604a9

Python - security_barrier_camera sample

a935846

patrabax changed the title ~~Python - classification sample~~ Python - classification and Security barrier camera samples Jan 23, 2019

basantaxpatra added 2 commits January 30, 2019 22:44

Fixed: security_barrier_camera sample FPS print

b9014fa

OpenVINO Python Samples

3d9d976

patrabax mentioned this pull request Feb 5, 2019

Python - object-detection module #20

Closed

patrabax changed the title ~~Python - classification and Security barrier camera samples~~ OpenVINO Python samples Feb 5, 2019

basantaxpatra added 2 commits February 7, 2019 19:33

Fixed: Removed Static library and static labels path

fe0ee28

Fixed:Camera connected or not checked for face detection

3085bf4

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OpenVINO Python samples #22

OpenVINO Python samples #22

patrabax commented Jan 9, 2019 •

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patrabax commented Jan 23, 2019

OpenVINO Python samples #22

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OpenVINO Python samples #22

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patrabax commented Jan 23, 2019

patrabax commented Jan 9, 2019 •

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