RMPE Dataset Server

This server generates augmented samples for the project keras_Realtime_Multi-Person_Pose_Estimation Source samples are retrieved from the hdf5 dataset file and processed in realtime using random cropping, rotations, flipping and scaling.

Prerequisites

• OpenCV
• Boost
• Hdf5
• libzmq
• cppzmq

Building

  mkdir build
  cd build
  cmake ..
  make

Usage

Usage:

./rmpe_dataset_server [DATASET] [PORT]

DATASET - path to the hdf5 dataset generated by the tool generate_hdf5.py

PORT - port number where augmented data are emitted.

Basically, you need to start a separate server for training dataset and validation dataset. The procedure of training looks something like:

1. Start training data server in the first terminal session ./rmpe_dataset_server ../../keras_Realtime_Multi-Person_Pose_Estimation/dataset/train_dataset.h5 5555
2. Start validation data server in a second terminal session ./rmpe_dataset_server ../../keras_Realtime_Multi-Person_Pose_Estimation/dataset/val_dataset.h5 5556
3. Train the model in a third terminal python train_pose.py

Troubleshooting

If you see the error

CMake Error at CMakeLists.txt:7 (find_package):
  By not providing "FindOpenCV.cmake" in CMAKE_MODULE_PATH

then export the path to your OpenCV location (ex. export OpenCV_DIR=/usr/local/Cellar/opencv/3.3.0_3/share/OpenCV)