Releases
v0.18.0
beniz
released this
11 Jun 05:22
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
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