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Trt_pose Alternatives
Similar projects and alternatives to trt_pose
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U-2-Net
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
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lightweight-human-pose-estimation.pytorch
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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trt_pose_hand
Real-time hand pose estimation and gesture classification using TensorRT
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Real-time-GesRec
Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture, Jester, Kinetics and UCF101
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CSI-Camera
Simple example of using a CSI-Camera (like the Raspberry Pi Version 2 camera) with the NVIDIA Jetson Developer Kit
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yolo_tracking
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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jetson_stats
📊 Simple package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series
trt_pose reviews and mentions
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[P] Football Player 3D Pose Estimation using YOLOv7
You can try trt_pose rather than YOLO. It's super fast. I am also doing 3D pose estimation, and with trt_pose I get the 2D at more than 100fps. https://github.com/NVIDIA-AI-IOT/trt_pose
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How to setup gesture recognition on the Nano?
I just followed the setup instructions for TRT_pose and then TRT_pose_hand and it was working great for me! You will need to follow these steps first to get TRT_pose on your device.
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How to use the Nano and openpose to detect the humans bodies inside footages for removing the colors that don't belong to them
I think you are looking for trt_pose, available here: https://github.com/NVIDIA-AI-IOT/trt_pose. I think this is the best library for real time pose tracking for the nano.
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A note from our sponsor - WorkOS
workos.com | 18 Apr 2024
Stats
NVIDIA-AI-IOT/trt_pose is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of trt_pose is Python.