Creating h5 files from a directory of images, and reading them. Mainly for ML. Modified and reworked from here: https://www.kaggle.com/crawford/resize-and-save-images-as-hdf5-256x256 (although my h5 images have a slightly different format). h5write is the more important one (that's the one showing how to create h5 images from a directory of images). This is tested on the standford cars dataset: https://ai.stanford.edu/~jkrause/cars/car_dataset.html
FPGA implementation of Semi Global Matching algorithm, using High Level Synthesis
HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.
Create efficient HDF5 image dataset without resizing and decoding to numpy arrays
Branch and block, dynamic programming, GA, ACO, SOM for TSP(Traveling Salesman Problem) problem
