TensorRT YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet (by jkjung-avt)


Basic tensorrt_demos repo stats
10 days ago

jkjung-avt/tensorrt_demos is an open source project licensed under MIT License which is an OSI approved license.

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NOTE: The number of mentions on this list indicates mentions on common posts. Hence, a higher number means a better tensorrt_demos alternative or higher similarity.


Posts where tensorrt_demos has been mentioned. We have used some of these posts to build our list of alternatives and similar projects - the last one was on 2021-03-04.
  • PyTorch 1.8 release with AMD ROCm support
    news.ycombinator.com | 2021-03-04
    > I'll also add a caveat that toolage for Jetson boards is extremely incomplete.

    A hundred times this. I was about to write another rant here but I already did that[0] a while ago, so I'll save my breath this time. :)

    Another fun fact regarding toolage: Today I discovered that many USB cameras work poorly on Jetsons (at least when using OpenCV), probably due to different drivers and/or the fact that OpenCV doesn't support ARM64 as well as it does x86_64. :(

    > They supply you with a bunch of sorely outdated models for TensorRT like Inceptionv3 and SSD-MobileNetv2 and VGG-16.

    They supply you with such models? That's news to me. AFAIK converting something like SSD-MobileNetv2 from TensorFlow to TensorRT still requires substantial manual work and magic, as this code[1] attests to. There are countless (countless!) posts on the Nvidia forums by people complaining that they're not able to convert their models.

    [0]: https://news.ycombinator.com/item?id=26004235

    [1]: https://github.com/jkjung-avt/tensorrt_demos/blob/master/ssd... (In fact, this is the only piece of code I've found on the entire internet that managed to successfully convert my SSD-MobileNetV2.)

  • I'm tired of this anti-Wayland horseshit
    news.ycombinator.com | 2021-02-02
  • H.264 hardware acceleration for surveillance station performance
    reddit.com/r/synology | 2021-01-12
    It was some work getting compiled on nano but I used this guy's work to get started. https://jkjung-avt.github.io/tensorrt-yolov4/ and https://github.com/jkjung-avt/tensorrt_demos