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Multiple Object Tracking System in Keras + (Detection Network - YOLO)
Hi,
Can you point me where exactly the Dataset is, on MOT challenge website. actually I'm confusing between multiple Datasets.
Please share link if you can.
Thanks
Hi. I am encountering Protobuff error during cmake. I am not able to solve it. Any help is appreciated. Thanks,
The C compiler identification is GNU 7.4.0
-- The CXX compiler identification is GNU 7.4.0
-- Check for working C compiler: /usr/bin/cc
-- Check for working C compiler: /usr/bin/cc -- works
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Detecting C compile features
-- Detecting C compile features - done
-- Check for working CXX compiler: /usr/bin/c++
-- Check for working CXX compiler: /usr/bin/c++ -- works
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Looking for pthread.h
-- Looking for pthread.h - found
-- Looking for pthread_create
-- Looking for pthread_create - not found
-- 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
-- Boost version: 1.65.1
-- Found the following Boost libraries:
-- system
-- thread
-- filesystem
-- chrono
-- date_time
-- atomic
-- Could NOT find GFlags (missing: GFLAGS_INCLUDE_DIR GFLAGS_LIBRARY)
-- Could NOT find Glog (missing: GLOG_INCLUDE_DIR GLOG_LIBRARY)
CMake Error at /usr/local/lib/python2.7/dist-packages/cmake/data/share/cmake-3.12/Modules/FindPackageHandleStandardArgs.cmake:137 (message):
Could NOT find Protobuf (missing: Protobuf_INCLUDE_DIR)
Call Stack (most recent call first):
/usr/local/lib/python2.7/dist-packages/cmake/data/share/cmake-3.12/Modules/FindPackageHandleStandardArgs.cmake:378 (_FPHSA_FAILURE_MESSAGE)
/usr/local/lib/python2.7/dist-packages/cmake/data/share/cmake-3.12/Modules/FindProtobuf.cmake:543 (FIND_PACKAGE_HANDLE_STANDARD_ARGS)
cmake/ProtoBuf.cmake:4 (find_package)
cmake/Dependencies.cmake:24 (include)
CMakeLists.txt:43 (include)
-- Configuring incomplete, errors occurred!
See also "/content/drive/Shared drives/Traffic Monitoring/object-tracking/py-faster-rcnn/caffe-fast-rcnn/build/CMakeFiles/CMakeOutput.log".
See also "/content/drive/Shared drives/Traffic Monitoring/object-tracking/py-faster-rcnn/caffe-fast-rcnn/build/CMakeFiles/CMakeError.log".
Where can I find the 'models/MultiObjDetTracker-CHKPNT-03-0.55.hdf5'??
Hi,
Thanks for sharing
i notice there is only train.py in your project. if i have trained the model, how can i test it?
or the test code may be include in train.py?
Thanks again.
Hi,
Great code, thanks a lot!
I had 2 questions:
Accuracy
Just wanted to know whether the code actually works and tracking does improve detection.
Speed of tracking
I am looking into using MultiObjDetTracker
in my project. The requirements of my project is real-time processing, would you how fast is the inference time of tracking part (excluding detection) of the MultiObjDetTracker
on the GPU (1050 or 1080)? I would imagine it would <20% of the detector since it has 2 layers even though LSTM layer might take more time. I am aiming for ~10 fps.
Thanks!
Hi, first of all, it is a super awesome code. :-)
I want to do MultiObjectDetection
Just wanted to check can I use OpenCV
's YoLoV3
module with your code?
In order to do so, how much part I need to change?
I can see you are doing this in load_model
function in MultiObjDetTracker
:
self.model_detector = Model( inputs=self.detector.model.input[0], outputs=[ self.detector.model.get_layer('conv_23').output, self.detector.model.get_layer('conv_feat').output])
I just could not get the corresponding equivalents for OpenCV's YoLoV3
Edit :
I saw some documentation on OpenCV's portal. Here is the link . May be this can help.
Can you please help?
Hi
Can you explain how to use your library?
I have weights, anchors etc from Yolo V3, can I use that for tracking?
When I got the hdf5 files saved, I tried to predict on 4 images using the prdict() in MultiObjDetTracker. The classes predicted were found to be empty and as well as the bounding boxes. When I tried to view the hdf5 files stored using pandas, they were found to be empty as well. May I know what might be casuing this issue?
Hi,
Can you pls share any demo video for the object tracker which will be helpful to know how it works.
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