DeepDetect v0.18.0

Features

• build: CMake config file to link with dede (dd71a35)
• ml: add multigpu support for external native models (90dcadd)
• ml: inference for GAN generators with TensorRT backend (c93188c)
• ml: python script to trace timm vision models (055fdfe)
• predict: add best_bbox for torch, trt, caffe, ncnn backend (7890401)
• torch: add dataloader_threads in API (74a036d)
• torch: add multigpu for torch models (447dd53)
• torch: support detection models in chains (7bb9705)
• TRT: port to TensorRT 21.04/7.2.3 (4377451)

Bug Fixes

• moving back to FAISS master (916338b)
• build: add required definitions and include directory for building external dd api (a059428)
• build: do not patch/rebuild tensorrt if not needed (bfd29ec)
• build: torch 1.8 with cuda 11.3 string_view patch (5002308)
• chain: fixed_size crops now work at the edges of images (8e38e35)
• dto: allow scale input param to be either bool for csv/csvts or float for img (168fc7c)
• log: typo in ncnn model log (0163b02)
• ncnn: fix ncnnapi deserialization error (089aacd)
• ncnn: fix typo in ut (893217b)

Docker images:

• CPU version: docker pull jolibrain/deepdetect_cpu:v0.18.0
• GPU (CUDA only): docker pull jolibrain/deepdetect_gpu:v0.18.0
• GPU (CUDA and Tensorrt) :docker pull jolibrain/deepdetect_cpu_tensorrt:v0.18.0
• GPU with torch backend: docker pull jolibrain/deepdetect_gpu_torch:v0.18.0
• All images available on https://hub.docker.com/u/jolibrain