jetson-ffmpeg VS yolov5-deepsort-tensorrt

Compare jetson-ffmpeg vs yolov5-deepsort-tensorrt and see what are their differences.

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jetson-ffmpeg yolov5-deepsort-tensorrt
4 1
585 405
- -
0.0 1.8
about 1 year ago over 2 years ago
C++ C++
GNU General Public License v3.0 or later GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

jetson-ffmpeg

Posts with mentions or reviews of jetson-ffmpeg. We have used some of these posts to build our list of alternatives and similar projects.
  • Jetson Nano Hardware Accel
    1 project | /r/ShinobiCCTV | 23 Apr 2023
  • My low power homelab: 2 RPi, 4 RPI Zero, 1 Nuc & 1 Jetson Nano.
    1 project | /r/homelab | 4 May 2022
    I made my own build of frigate using the community nvmpi ffmpeg decoder. What I didn't realise when I bought Jetson is normal Nvidia nvdec ffmpeg is not supported on Jetsons, and nvidia did little to enable their different hardware decoder for Jetsons, and concentrated their efforts on gstreamer instead of ffmpeg. So you need to use 3rd party nvmpi extension for ffmpeg https://github.com/jocover/jetson-ffmpeg . Also I debloat Frigate ffmpeg build. I spent a lot of time trying to get the hardware decoder working on rk3399 before giving up and getting a jetson nano. Reducing build time by removing all the unnecessary codecs is helpful for testing. https://pastebin.com/bxWwDz0K is my ffmpeg config for Frigate. Copy and create a new build in Frigate Makefile for aarch64nvmpi based off the aarch64 config. Make that config use the ffmpeg config specific to nvmpi.
  • Problem trying to capture desktop livestream with hdmi capture card.
    1 project | /r/ffmpeg | 3 Sep 2021
    I purchased the jetson nano because the initial specs indicated that real time encoding for 1080p 60fps was possible. Later did I figure out that the jetson nano has a different driver for their onboard gpu different than the desktop gpus. The desktop gpu use nvenc dedicated hardware for encoding that works with ffmpeg, alas for the jetson nano, nvidia does not support ffmpeg hardware accelerated encoding out of the box, only decoding. But, someone actually came up with a solution to include the nvmpi lib that utilizes the nvenc hardware acceleration for encoding. https://github.com/jocover/jetson-ffmpeg
  • Jetson Nano And Ffmpeg
    1 project | /r/ShinobiCCTV | 16 Jan 2021

yolov5-deepsort-tensorrt

Posts with mentions or reviews of yolov5-deepsort-tensorrt. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing jetson-ffmpeg and yolov5-deepsort-tensorrt you can also consider the following projects:

voukoder - Provides an easy way to include the FFmpeg encoders in other windows applications.

yolo-tensorrt - TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.

FFaudioConverter - Graphical audio convert and filter tool

jetson-inference - Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

trt_pose_hand - Real-time hand pose estimation and gesture classification using TensorRT

MystiQ - Qt5/C++ FFmpeg Media Converter

installROS - Install ROS Melodic on NVIDIA Jetson Development Kits

JetsonGPIO - A C++ library that enables the use of Jetson's GPIOs

jetson_stats - 📊 Simple package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series

blur - Add motion blur to videos