Caffe for DeepDetect

This is a slightly modified version of Caffe as used by the Deep Learning API & server Deepdetect. The repository is kept up to date with the original Caffe master branch.

Improvements and new features include:

• Switch from LOG(FATAL) error to CaffeErrorException thrown on every recoverable errors. This allows the safe use of Caffe as a C++ library from external applications, and in production
• Various fixes, including ability to run the exact same job in parallel
• Makefile fixes with default build supporting all NVIDIA architectures
• Sparse inputs and CPU/GPU computations
• Support for class weights applied to Softmax loss, useful for training over imbalanced datasets
• SSD: Single Shot MultiBox Detector for object detection in images

While this is intended to be used with DeepDetect, this is a great alternative to the original Caffe if you'd like to avoid uncaptured errors, train from text or sparse data, need built-in image detection.