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frigate/docker/tensorrt/requirements-amd64.txt

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Nvidia TensorRT detector (#4718) * Initial WIP dockerfile and scripts to add tensorrt support * Add tensorRT detector * WIP attempt to install TensorRT 8.5 * Updates to detector for cuda python library * TensorRT Cuda library rework WIP Does not run * Fixes from rebase to detector factory * Fix parsing output memory pointer * Handle TensorRT logs with the python logger * Use non-async interface and convert input data to float32. Detection runs without error. * Make TensorRT a separate build from the base Frigate image. * Add script and documentation for generating TRT Models * Add support for TensorRT devcontainer * Add labelmap to trt model script and docs. Cleanup of old scripts. * Update detect to normalize input tensor using model input type * Add config for selecting GPU. Fix Async inference. Update documentation. * Update some CUDA libraries to clean up version warning * Add CI stage to build TensorRT tag * Add note in docs for image tag and model support
2022-12-30 19:53:17 +03:00
# NVidia TensorRT Support (amd64 only)
Upgrade TensorRT to 8.5.3 (#7006) * Update to latest tensorrt (8.6.1) release * Build trt libyolo_layer.so in container * Update tensorrt_models script to convert models from the frigate container * Fix typo in model script * Fix paths to yolo lib and models folder * Add S6 scripts to test and convert specified TensortRT models at startup. Rearrange tensorrt files into a docker support folder. * Update TensorRT documentation to reflect the new model conversion process and minimum HW support. * Fix model_cache path to live in config directory * Move tensorrt s6 files to the correct directory * Fix issues in model generation script * Disable global timeout for s6 services * Add version folder to tensorrt model_cache path * Include TensorRT version 8.5.3 * Add numpy requirement prior to removal of np.bool * This TRT version uses a mixture of cuda dependencies * Redirect stdout from noisy model conversion
2023-07-06 22:20:33 +03:00
--extra-index-url 'https://pypi.nvidia.com'
Remove TensorRT Detector from AMD64 Build (#19030) * Don't support tensorrt detector for amd64 builds * Add logs for directing users not to use tensorrt detector * Rework docs * Fix dockerfile index * Don't undo jetson fix
2025-07-08 02:12:52 +03:00
cython==3.0.*; platform_machine == 'x86_64'
nvidia_cuda_cupti_cu12==12.5.82; platform_machine == 'x86_64'
nvidia-cublas-cu12==12.5.3.*; platform_machine == 'x86_64'
nvidia-cudnn-cu12==9.3.0.*; platform_machine == 'x86_64'
nvidia-cufft-cu12==11.2.3.*; platform_machine == 'x86_64'
nvidia-curand-cu12==10.3.6.*; platform_machine == 'x86_64'
nvidia_cuda_nvcc_cu12==12.5.82; platform_machine == 'x86_64'
nvidia-cuda-nvrtc-cu12==12.5.82; platform_machine == 'x86_64'
nvidia_cuda_runtime_cu12==12.5.82; platform_machine == 'x86_64'
nvidia_cusolver_cu12==11.6.3.*; platform_machine == 'x86_64'
nvidia_cusparse_cu12==12.5.1.*; platform_machine == 'x86_64'
nvidia_nccl_cu12==2.23.4; platform_machine == 'x86_64'
nvidia_nvjitlink_cu12==12.5.82; platform_machine == 'x86_64'
Deps updates (#14556) * Update nvidia deps * Update python deps * Update web deps
2024-10-24 16:48:14 +03:00
onnx==1.16.*; platform_machine == 'x86_64'
Intel updates (#18493) * Update openvino and onnxruntime * Install icd and level-zero-gpu deps from intel directly * Install * Add dep * Fix package install
2025-05-31 00:30:21 +03:00
onnxruntime-gpu==1.22.*; platform_machine == 'x86_64'
Add onnxruntime nvidia providers (#13756)
2024-09-16 04:30:30 +03:00
protobuf==3.20.3; platform_machine == 'x86_64'
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