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object-tracking's Issues

Dataset link and format

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

Caffe-Fast-RCNN Cmake Error

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".

is there a code for test in this project?

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.

Accuracy benchmark and inference speed

Hi,

Great code, thanks a lot!

I had 2 questions:

  1. Accuracy
    Just wanted to know whether the code actually works and tracking does improve detection.

  2. 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!

Can I use any off the shelf YoLoV3 implementation in your code ?

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?

Explaination

Hi
Can you explain how to use your library?

I have weights, anchors etc from Yolo V3, can I use that for tracking?

HDF5 FILES ARE EMPTY

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?

Any demo videos?

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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