DeepDetect v0.15.0

Features

• nbeats: default backcast loss coeff to zero, allows very short forecast length to learn smoothly (db17a41)
• timeseries: add MAE and MSE metrics (847830d)
• timeseries: do not output per serie metrics as a default, add prefix _all for displaying all metrics (5b6bc4e)
• torch: model publishing with the platform (da14d33)
• torch: save last model at training service interruption (b346923)
• torch: SWA for RANGER/torch (https://arxiv.org/abs/1803.05407) (74cf54c)
• torch/csvts: create db incrementally (4336e89)

Bug Fixes

• caffe/detection: fix rare spurious detection decoding, see bug 1190 (94935b5)
• chore: add opencv imgcodecs explicit link (8ff5851)
• compile flags typo (8f0c947)
• docker cpu link in readme (1541dcc)
• tensorrt tests on Jetson nano (25b12f5)
• nbeats: make seasonality block work (d035c79)
• torch: display msg if resume fails, also fails if not best_model.txt file (d8c5418)

Docker images:

• CPU version: docker pull jolibrain/deepdetect_cpu:v0.15.0
• GPU (CUDA only): docker pull jolibrain/deepdetect_gpu:v0.15.0
• GPU (CUDA and Tensorrt) :docker pull jolibrain/deepdetect_cpu_tensorrt:v0.15.0
• GPU with torch backend: docker pull jolibrain/deepdetect_gpu_torch:v0.15.0
• All images available on https://hub.docker.com/u/jolibrain