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cosov1net

PyTorch implementation of "CoSOV1Net: Cone-and Spatial-Opponency primary Visual cortex-inspired neural Network for lightweight salient object detection" paper

deeplearningexamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

deepstream-yolo

NVIDIA DeepStream SDK 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models

deepstream_python_apps

DeepStream SDK Python bindings and sample applications

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

few-shot-object-detection

Implementations of few-shot object detection benchmarks

ffmpeg-python

Python bindings for FFmpeg - with complex filtering support

gaitset

A flexible, effective and fast cross-view gait recognition network

kafka-pipeline

A simple real-time enrichment pipeline for ML engine events using Confluent Kafka

opengait

A flexible and extensible framework for gait recognition. You can focus on designing your own models and comparing with state-of-the-arts easily with the help of OpenGait.

pyav

Pythonic bindings for FFmpeg's libraries.

pytorch-video-pipeline

server

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

tensorrt

NVIDIA® TensorRT™, an SDK for high-performance deep learning inference, includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for inference applications.

tensorrt-ssd300-8bit-quantized