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Hi ,
In dwell_time_calculation.py , i want to store the time elapsed by each person in a frame in a pandas DataFrame ,
like
id 1 has stayed 15 sec in frame and suppose id_2 has stayed total 10 sec ..then data frame with only 2 rows ,with 4 columns i.e. Person_id, Start_time, end_time, Total time=end_time - start_time .

in this image, you could see the problem when I first insert the code. It is stating that "no module is named 'cv2', 'numpy', and 'imutils'.
Can you help with clarifying the problem here?

UserWarning: h5py is running against HDF5 1.10.5 when it was built against 1.10.4, this may cause problems
'{0}.{1}.{2}'.format(*version.hdf5_built_version_tuple)
Warning! HDF5 library version mismatched error
The HDF5 header files used to compile this application do not match
the version used by the HDF5 library to which this application is linked.
Data corruption or segmentation faults may occur if the application continues.
This can happen when an application was compiled by one version of HDF5 but
linked with a different version of static or shared HDF5 library.
You should recompile the application or check your shared library related
settings such as 'LD_LIBRARY_PATH'.
You can, at your own risk, disable this warning by setting the environment
variable 'HDF5_DISABLE_VERSION_CHECK' to a value of '1'.
Setting it to 2 or higher will suppress the warning messages totally.
Headers are 1.10.4, library is 1.10.5
SUMMARY OF THE HDF5 CONFIGURATION
=================================

General Information:

               HDF5 Version: 1.10.5
              Configured on: 2019-03-04
              Configured by: Visual Studio 15 2017 Win64
                Host system: Windows-10.0.17763
          Uname information: Windows
                   Byte sex: little-endian
         Installation point: C:/Program Files/HDF5

Compiling Options:

                 Build Mode: 
          Debugging Symbols: 
                    Asserts: 
                  Profiling: 
         Optimization Level: 

Linking Options:

                  Libraries: 

Statically Linked Executables: OFF
LDFLAGS: /machine:x64
H5_LDFLAGS:
AM_LDFLAGS:
Extra libraries:
Archiver:
Ranlib:

Languages:

                          C: yes
                 C Compiler: C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/VC/Tools/MSVC/14.16.27023/bin/Hostx86/x64/cl.exe 19.16.27027.1
                   CPPFLAGS: 
                H5_CPPFLAGS: 
                AM_CPPFLAGS: 
                     CFLAGS:  /DWIN32 /D_WINDOWS /W3
                  H5_CFLAGS: 
                  AM_CFLAGS: 
           Shared C Library: YES
           Static C Library: YES

                    Fortran: OFF
           Fortran Compiler:  
              Fortran Flags: 
           H5 Fortran Flags: 
           AM Fortran Flags: 
     Shared Fortran Library: YES
     Static Fortran Library: YES

                        C++: ON
               C++ Compiler: C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/VC/Tools/MSVC/14.16.27023/bin/Hostx86/x64/cl.exe 19.16.27027.1
                  C++ Flags: /DWIN32 /D_WINDOWS /W3 /GR /EHsc
               H5 C++ Flags: 
               AM C++ Flags: 
         Shared C++ Library: YES
         Static C++ Library: YES

                        JAVA: OFF
               JAVA Compiler:  

Features:

               Parallel HDF5: OFF

Parallel Filtered Dataset Writes:
Large Parallel I/O:
High-level library: ON
Threadsafety: OFF
Default API mapping: v110
With deprecated public symbols: ON
I/O filters (external): DEFLATE DECODE ENCODE
MPE:
Direct VFD:
dmalloc:
Packages w/ extra debug output:
API Tracing: OFF
Using memory checker: OFF
Memory allocation sanity checks: OFF
Function Stack Tracing: OFF
Strict File Format Checks: OFF
Optimization Instrumentation:
Bye...

Hi,

this ist not an issue but a question.
I wonder if the GPU is used while running the person_tracking.py example?

Some information about the system I'm workung with:

Jetson Nano
Image: jetson-nano-4gb-jp441-sd-card-image
OpenCV 4.1.1
CUDA Version 10.2
Ubuntu 18.04 LTS

I've read some posts about this question but I'm not really sure about the current state. Do you have any idea?

Best regards
chris

I'm getting this error

cv2.error: OpenCV(4.1.2) /io/opencv/modules/dnn/src/dnn.cpp:1001: error: (-215:Assertion failed) haveInfEngine() in function 'wrapMat'

All the codes runs fine but while I run person counter i get following error.

cv2.error: OpenCV(4.2.0) /io/opencv/modules/dnn/src/dnn.cpp:1077: error: (-213:The function/feature is not implemented) Unknown backend identifier in function 'wrapMat'

which version of cv2 is compatible to the code?

s TensorFlow binary was not compiled to use: AVX2
Traceback (most recent call last):
File "face_mask_detector.py", line 23, in
frame = imutils.resize(frame, width=400)
File "C:\Users\PSH4\AppData\Local\Programs\Python\Python37\lib\site-packages\imutils\convenience.py", line 69, in resize
(h, w) = image.shape[:2]
AttributeError: 'NoneType' object has no attribute 'shape'

Can you tell why is it happening? also tell me your opencv version
Thanks