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TkDnn vs OpenCv Dnn #298

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opened 2022-10-21 03:17:23 +02:00 by faithmaker · 0 comments
faithmaker commented 2022-10-21 03:17:23 +02:00 (Migrated from github.com)
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We identified the same number of people through the same video file.
The number of processed frames was almost the same. Is this correct?

*. Environment
-. Jetson Nano : pack4.6.2(Cuda10.2, TensoRt8.2.1) + Opencv4.6.0
-. 640x480 Video File

*. Test(Only the part that calls the DNN is different)
-. TkDnn
480x480 YoloV4 Tiny(xxx_fp32.rt) : 17-18Fps
-. OpenCv With Dnn(readNetFromDarknet)
480x480 YoloV4 Tiny(xxx.weights) : 17-18Fps

*. cmake -DCMAKE_BUILD_TYPE=Release ..
cmake -DCMAKE_BUILD_TYPE=Release ..
-- The C compiler identification is GNU 7.5.0
-- The CXX compiler identification is GNU 7.5.0
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: /usr/bin/cc - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: /usr/bin/c++ - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Looking for pthread.h
-- Looking for pthread.h - found
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed
-- Looking for pthread_create in pthreads
-- Looking for pthread_create in pthreads - not found
-- Looking for pthread_create in pthread
-- Looking for pthread_create in pthread - found
-- Found Threads: TRUE
-- Found CUDA: /usr/local/cuda (found suitable version "10.2", minimum required is "9.0")
-- CUDA Architecture: -arch=sm_53
-- CUDA Version: 10.2
-- CUDA Path: /usr/local/cuda
-- CUDA Libararies: /usr/local/cuda/lib64/libcudart_static.a;Threads::Threads;dl;/usr/lib/aarch64-linux-gnu/librt.so
-- CUDA Performance Primitives: /usr/local/cuda/lib64/libnppc.so;/usr/local/cuda/lib64/libnppial.so;/usr/local/cuda/lib64/libnppicc.so;/usr/local/cuda/lib64/libnppicom.so;/usr/local/cuda/lib64/libnppidei.so;/usr/local/cuda/lib64/libnppif.so;/usr/local/cuda/lib64/libnppig.so;/usr/local/cuda/lib64/libnppim.so;/usr/local/cuda/lib64/libnppist.so;/usr/local/cuda/lib64/libnppisu.so;/usr/local/cuda/lib64/libnppitc.so;/usr/local/cuda/lib64/libnpps.so
-- Found CUDNN: /usr/lib/aarch64-linux-gnu/libcudnn.so
-- Found CUDNN include: /usr/include
-- Found NVINFER: /usr/lib/aarch64-linux-gnu/libnvinfer.so
-- Found NVINFER include: /usr/include/aarch64-linux-gnu
-- Found CUDNN: /usr/lib/aarch64-linux-gnu/libcudnn.so
Eigen DIR: /usr/include/eigen3
-- Found OpenCV: /usr (found version "4.6.0")
install dir:/usr/local
-- Configuring done
-- Generating done
-- Build files have been written to: /home/humanrix/Downloads/TkDnn/tkDNN/build

We identified the same number of people through the same video file. The number of processed frames was almost the same. Is this correct? *. Environment -. Jetson Nano : pack4.6.2(Cuda10.2, TensoRt8.2.1) + Opencv4.6.0 -. 640x480 Video File *. Test(Only the part that calls the DNN is different) -. TkDnn 480x480 YoloV4 Tiny(xxx_fp32.rt) : 17-18Fps -. OpenCv With Dnn(readNetFromDarknet) 480x480 YoloV4 Tiny(xxx.weights) : 17-18Fps *. cmake -DCMAKE_BUILD_TYPE=Release .. cmake -DCMAKE_BUILD_TYPE=Release .. -- The C compiler identification is GNU 7.5.0 -- The CXX compiler identification is GNU 7.5.0 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /usr/bin/cc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /usr/bin/c++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Looking for pthread.h -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread -- Looking for pthread_create in pthread - found -- Found Threads: TRUE -- Found CUDA: /usr/local/cuda (found suitable version "10.2", minimum required is "9.0") -- CUDA Architecture: -arch=sm_53 -- CUDA Version: 10.2 -- CUDA Path: /usr/local/cuda -- CUDA Libararies: /usr/local/cuda/lib64/libcudart_static.a;Threads::Threads;dl;/usr/lib/aarch64-linux-gnu/librt.so -- CUDA Performance Primitives: /usr/local/cuda/lib64/libnppc.so;/usr/local/cuda/lib64/libnppial.so;/usr/local/cuda/lib64/libnppicc.so;/usr/local/cuda/lib64/libnppicom.so;/usr/local/cuda/lib64/libnppidei.so;/usr/local/cuda/lib64/libnppif.so;/usr/local/cuda/lib64/libnppig.so;/usr/local/cuda/lib64/libnppim.so;/usr/local/cuda/lib64/libnppist.so;/usr/local/cuda/lib64/libnppisu.so;/usr/local/cuda/lib64/libnppitc.so;/usr/local/cuda/lib64/libnpps.so -- Found CUDNN: /usr/lib/aarch64-linux-gnu/libcudnn.so -- Found CUDNN include: /usr/include -- Found NVINFER: /usr/lib/aarch64-linux-gnu/libnvinfer.so -- Found NVINFER include: /usr/include/aarch64-linux-gnu -- Found CUDNN: /usr/lib/aarch64-linux-gnu/libcudnn.so Eigen DIR: /usr/include/eigen3 -- Found OpenCV: /usr (found version "4.6.0") install dir:/usr/local -- Configuring done -- Generating done -- Build files have been written to: /home/humanrix/Downloads/TkDnn/tkDNN/build
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Reference: mmr/tkDNN#298
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