DeepDetect v0.13.0

Features

• support for batches for NCNN image models (b85d79e)
• ml: retain_graph control via API for torch autograd (d109558)
• ml: torch image basic data augmentation (b9f8525)
• ncnn: use master from tencent/ncnn (044e181)
• upgrade oatpp to pre-1.2.5 (596f6f4)

Bug Fixes

• torch: csvts forecast mode needs sequence of length backcast during predict (4c89a1c)
• add missing spdlog patch (4d0a4fa)
• caffe linkage with our spdlog (967fdef)
• copy .git in docker image builder (570323d)
• deactivate the csvts NCNN test when caffe is not built (5a5c8f1)
• missing support for parent_id in chains with Python client (a5fad50)
• NCNN chain with images and actions (38b1d07)
• throw if hard image read error in caffe classification input (f1c0d09)
• doc: similarity search_nn number of results API (5eaf343)
• torch: remove potential segfault in csvts connector (ba96b4e)

Docker images:

• CPU version: docker pull jolibrain/deepdetect_cpu:v0.13.0
• GPU (CUDA only): docker pull jolibrain/deepdetect_gpu:v0.13.0
• GPU (CUDA and Tensorrt) :docker pull jolibrain/deepdetect_cpu_tensorrt:v0.13.0
• GPU with torch backend: docker pull jolibrain/deepdetect_gpu_torch:v0.13.0
• All images available on https://hub.docker.com/u/jolibrain