deep-person-reid v0.2.0

• Code structure is re-organized, which is easier to read and modify
• data_manager is split into different scripts.
• Added --fixbase option, allowing randomly initialized classifier layer to be trained while keeping base network frozen.
• Rewrote sampler for triplet loss, which allows most of the training images to be covered during a training epoch.
• Added requirements.txt, which eases environment configuration.
• Instructions on data preparation and benchmarks are separated into different files.

To be done:

• --lmdb is under development.