jetson-ffmpeg
ffmpeg support on jetson nano (by jocover)
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. (by enazoe)
jetson-ffmpeg | yolo-tensorrt | |
---|---|---|
4 | 2 | |
585 | 1,166 | |
- | - | |
0.0 | 1.1 | |
about 1 year ago | about 1 year ago | |
C++ | C++ | |
GNU General Public License v3.0 or later | MIT License |
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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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
-
My low power homelab: 2 RPi, 4 RPI Zero, 1 Nuc & 1 Jetson Nano.
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.
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
yolo-tensorrt
Posts with mentions or reviews of yolo-tensorrt.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-29.
-
Using Yolov5 with ROS
I don’t know whether that really solves you problem, but I can tell you how to integrate yolov5 in ros. With this repo: https://github.com/enazoe/yolo-tensorrt you can build a simple ros node around their samples cpp file. This can then subscribe and use ROS images by converting them to cv::Mat using the ros cv_bridge.
-
Real-time Object Detection on Jetson Nano
yep, i tried the tensorrt implementation (https://github.com/enazoe/yolo-tensorrt), on Jetson TX1, with FP16 prevision and it runs YOLOv4 at ~10FPS Had also tried v3 which ran a bit faster, but changed to v4 for the gains in accuracy.
What are some alternatives?
When comparing jetson-ffmpeg and yolo-tensorrt you can also consider the following projects:
voukoder - Provides an easy way to include the FFmpeg encoders in other windows applications.
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
FFaudioConverter - Graphical audio convert and filter tool
yolov5-deepsort-tensorrt - A c++ implementation of yolov5 and deepsort
tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
MystiQ - Qt5/C++ FFmpeg Media Converter
crop - Character Recognition Of Plates using yolov5
JetsonGPIO - A C++ library that enables the use of Jetson's GPIOs
LibtorchTutorials - This is a code repository for pytorch c++ (or libtorch) tutorial.
blur - Add motion blur to videos
jetson-ffmpeg vs voukoder
yolo-tensorrt vs yolov5
jetson-ffmpeg vs FFaudioConverter
yolo-tensorrt vs yolov5-deepsort-tensorrt
jetson-ffmpeg vs yolov5-deepsort-tensorrt
yolo-tensorrt vs tensorflow-yolov4-tflite
jetson-ffmpeg vs MystiQ
yolo-tensorrt vs crop
jetson-ffmpeg vs JetsonGPIO
yolo-tensorrt vs LibtorchTutorials
jetson-ffmpeg vs blur
yolo-tensorrt vs JetsonGPIO