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Jetson-ffmpeg Alternatives
Similar projects and alternatives to jetson-ffmpeg
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InfluxDB
InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
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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.
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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jetson-inference
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
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QtAv
A cross-platform multimedia framework based on Qt and FFmpeg. 基于Qt和FFmpeg的跨平台高性能音视频播放框架. Recommand to use new sdk https://github.com/wang-bin/mdk-sdk
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- Jetson Nano Hardware Accel
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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.
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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
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A note from our sponsor - InfluxDB
influxdata.com | 23 Apr 2025
Stats
Basic jetson-ffmpeg repo stats
4
650
0.0
about 2 years ago
jocover/jetson-ffmpeg is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of jetson-ffmpeg is C++.
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