RUN /opt/conda/bin/pip install mmcv-full==${MMCV_VERSION} -f https://download.openmmlab.com/mmcv/dist/cu${CUDA//./}/torch${TORCH_VERSION}/index.html RUN pip install onnxruntime_gpu==1.11.1 -i https://pypi.mirrors.ustc.edu.cn/simple WORKDIR /root/workspace ### get onnxruntime ...
pip install onnx==1.8.1 onnxruntime==1.8.1 -i https://pypi.tuna.tsinghua.edu.cn/simple 下载MMDeploy代码仓 cd ~ git clone https://github.com/open-mmlab/mmdeploy cd mmdeploy git submodule update --init --recursive cd ~ wget https://github.com/microsoft/onnxruntime/releases/download/...
pip install onnx==1.8.1 onnxruntime==1.8.1 -ihttps://pypi.tuna.tsinghua.edu.cn/simple 下载MMDeploy代码仓 cd ~ git clonehttps://github.com/open-mmlab/mmdeploy cd mmdeploy git submodule update --init --recursive cd ~ wgethttps://github.com/microsoft/onnxruntime/releases/download/v1.8...
pip install numpy==1.21.6 -i https://pypi.tuna.tsinghua.edu.cn/simple/ pip install torch==1.12.0+cu116 torchvision==0.13.0+cu116torchaudio==0.12.0 --extra-index-url https://download.pytorch.org/whl/cu116 -i https://pypi.tuna.tsinghua.edu.cn/simple/ pip install onnxruntime==1.8....
If I instead install tensorrt via pypi: pip install nvidia-pyindex pip install tensorrt==8.6.1.post1 --extra-index-url https://pypi.nvidia.com I get a little farther, being able to generate the output, but fail onvisualize tensorrt model failed ...
Prevent RuntimeError in ONNX export with empty input in ONNXNMSRotatedOp by@yhna940in#2305 Fix pytorch deepcopy trace error by@AllentDanin#2319 Fix random color for Palette by@irexycin#2356 Add warmup for wrong profiling result by@tpoisonoooin#2339 ...
我们推荐用户使用预编译包安装和体验 MMDeploy 功能。目前提供模型转换(trt/ort)以及 SDK 推理的 pypi 预编译包,SDK 的 c/cpp 库可从这里选择最新版本下载并安装。 目前,MMDeploy 的预编译包支持的平台和设备矩阵如下: OS-ArchDeviceONNX RuntimeTensorRT ...
pip install mmdeploy==1.0.0 -i http://pypi.douban.com/simple --trusted-host pypi.douban.com # 2. 安装 MMDeploy Inference SDK(仅pypi 预编译包,c++包需要编译安装) # 根据是否需要GPU推理可任选其一进行下载安装 # pip install mmdeploy-runtime==1.0.0 # 支持 onnxruntime 推理 ...
根据模型的任务类型在 configs/codebase_folder/ 下查找对应的文件夹。 例如yolov3模型,您可以查找到 configs/mmdet/detection 文件夹。 在configs/codebase_folder/task_folder/ 下找到模型的部署配置文件。 例如部署yolov3您可以使用 configs/mmdet/detection/detection_onnxruntime_dynamic.py。模型...
Currently, we support model converter and sdk inference pypi package, and the sdk c/cpp library is provided here. You can download them according to your target platform and device. The supported platform and device matrix is presented as following: OS-ArchDeviceONNX RuntimeTensorRT Linux-x86_...