RomanArzumanyan / VALILinks
Video processing in Python
☆64Updated 3 weeks ago
Alternatives and similar repositories for VALI
Users that are interested in VALI are comparing it to the libraries listed below
Sorting:
- nvjpeg for python☆101Updated 2 years ago
- The ffmpegcv is a ffmpeg backbone for open-cv like Video Reader and Writer☆211Updated last month
- C++ Helper Class for Deep Learning Inference Frameworks: TensorFlow Lite, TensorRT, OpenCV, OpenVINO, ncnn, MNN, SNPE, Arm NN, NNabla, ON…☆289Updated 3 years ago
- DeepStream Libraries offer CVCUDA, NvImageCodec, and PyNvVideoCodec modules as Python APIs for seamless integration into custom framewor…☆54Updated 8 months ago
- resize image in (CUDA, python, cupy)☆41Updated last year
- How to deploy open source models using DeepStream and Triton Inference Server☆81Updated last year
- A project demonstrating how to use nvmetamux to run multiple models in parallel.☆102Updated 8 months ago
- A nvImageCodec library of GPU- and CPU- accelerated codecs featuring a unified interface☆110Updated 3 months ago
- Script to typecast ONNX model parameters from INT64 to INT32.☆107Updated last year
- A Toolkit to Help Optimize Onnx Model☆161Updated this week
- Implementation of End-to-End YOLO Models for DeepStream☆52Updated 7 months ago
- ONNX Runtime Inference C++ Example☆240Updated 2 months ago
- This repository deploys YOLOv4 as an optimized TensorRT engine to Triton Inference Server☆285Updated 3 years ago
- ☆115Updated 4 years ago
- A set of simple tools for splitting, merging, OP deletion, size compression, rewriting attributes and constants, OP generation, change op…☆296Updated last year
- A Toolkit to Help Optimize Large Onnx Model☆157Updated last year
- A project demonstrating how to make DeepStream docker images.☆78Updated 6 months ago
- A shared library of on-demand DeepStream Pipeline Services for Python and C/C++☆314Updated 3 months ago
- A toolkit showing GPU's all-round capability in video processing☆189Updated last year
- This repository provides optical character detection and recognition solution optimized on Nvidia devices.☆76Updated last month
- ☆35Updated 2 years ago
- Implementation of YOLOv9 QAT optimized for deployment on TensorRT platforms.☆114Updated 2 months ago
- C++ implementation of ByteTrack that does not include an object detection algorithm.☆184Updated last year
- NVIDIA DeepStream SDK 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 application for YOLO-Face models☆69Updated last year
- This repository provides YOLOV5 GPU optimization sample☆105Updated 2 years ago
- ☆53Updated 3 years ago
- This repository serves as an example of deploying the YOLO models on Triton Server for performance and testing purposes☆64Updated last year
- Sample apps to demonstrate how to deploy models trained with TAO on DeepStream☆416Updated 4 months ago
- A pytorch to tensorrt convert with dynamic shape support☆260Updated last year
- C++ application to perform computer vision tasks using Nvidia Triton Server for model inference☆24Updated last week