DeepDetect v0.16.0

Features

• torch: add confidence threshold for classification (0e75d88)
• torch: add more backbones to traced detection models (f4d05e1)
• torch: allow FP16 inference on GPU (705d3d7)
• torch: madgrad optimizer (0657d82)
• torch: training of detection models on backend torch (b920999)

Bug Fixes

• torch: default gradient clipping to true when using madgrad (5979019)
• remove dirty git flag on builds (6daa4f5)
• services names were not always case insentitive (bee3183)
• chains: cloning of image crops in chains (2e62b7e)
• ml: refinedet image dimensions configuration via API (20d56e4)
• TensorRT: fix some memory allocation weirdness in trt backend (4f952c3)
• timeseries: throw if no data found (a95e7f9)
• torch: allow partial or mismatching weights loading only if finetuning (23666ea)
• torch: Fix underflow in CSVTS::serialize_bounds (c8b11b6)
• torch: fix very long ETA with iter_size != 1 (0c716a6)
• torch: parameters are added only once to solver during traced model training (86cbcf5)

Docker images:

• CPU version: docker pull jolibrain/deepdetect_cpu:v0.16.0
• GPU (CUDA only): docker pull jolibrain/deepdetect_gpu:v0.16.0
• GPU (CUDA and Tensorrt) :docker pull jolibrain/deepdetect_cpu_tensorrt:v0.16.0
• GPU with torch backend: docker pull jolibrain/deepdetect_gpu_torch:v0.16.0
• All images available on https://hub.docker.com/u/jolibrain