DeepDetect v0.19.0

Features

• add DTO schemas to swagger automatic doc (9180ff4)
• add z-normalisation option (82d7cc5)
• dto: add custom dto vector type (01222db)
• torch: add ADAMP variant of adam in RANGER (2006.08217) (e26ed77)
• trt: add return cv::Mat instead of vector for GAN output (4990e7b)
• torch segmentation model prediction (d72a138)

Bug Fixes

• always depend on oatpp (f262114)
• test: tar archive was decompressed at each cmake call (910a0ee)
• torch: predictions handled correctly when data count > 1 (5a95c29)
• trt: detect architecture and rebuild model if necessary (5c9ff89)
• TRT: fix build wrt new external build script (7121dfe)
• TRT: make refinedet great again, also upgrades to TRT8.0.0/TRT-OSS21.08 (bdff2ae)
• CI on Jetson nano with lighter classification model (1673a99)
• dont rebuild torchvision everytime (4f17897)
• remove linking errors on oatpp access_log (ed276b3)

Docker images:

• CPU version: docker pull jolibrain/deepdetect_cpu:v0.19.0
• GPU (CUDA only): docker pull jolibrain/deepdetect_gpu:v0.19.0
• GPU (CUDA and Tensorrt) :docker pull jolibrain/deepdetect_cpu_tensorrt:v0.19.0
• GPU with torch backend: docker pull jolibrain/deepdetect_gpu_torch:v0.19.0
• All images available on https://hub.docker.com/u/jolibrain