tensorrt_demos
gitlab-foss
tensorrt_demos | gitlab-foss | |
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5 | 47 | |
1,720 | - | |
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3.1 | - | |
about 1 year ago | - | |
Python | ||
MIT License | - |
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.
tensorrt_demos
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lowering size of YOLOV4 detection model
tensorrt_demo github repository
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Jetson Nano: TensorFlow model. Possibly I should use PyTorch instead?
https://github.com/NVIDIA-AI-IOT/torch2trt <- pretty straightforward https://github.com/jkjung-avt/tensorrt_demos <- this helped me a lot
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PyTorch 1.8 release with AMD ROCm support
> 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 They supply you with a bunch of sorely outdated models for TensorRT like Inceptionv3 and SSD-MobileNetv2 and VGG-16.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
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H.264 hardware acceleration for surveillance station performance
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
gitlab-foss
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GitHub Actions Are a Problem
* Gitlab EE (enterprise edition) is closed, but Gitlab CE (community edition) is open source (https://gitlab.com/gitlab-org/gitlab-foss/)
* I didn't follow the Gitea drama too closely, but my understanding is that Forgejo was a fork born out of that situation
* I've heard the SourceHut guy is a controversial figure, so avoiding it because of that isn't unreasonable. I will just say that "spite forks" tend not to last very long
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Server-Side Request Forgery in Rails
Gitlab uses an UrlBlocker class to prevent malicious users from exploiting SSRF via the webhook URL. This class validates the URL and blocks everything which is a local network, but before the 11.5.1 version, they didn't think about an IPv6 format, which maps to IPv4: [0:0:0:0:0:ffff:127.0.0.1]. Replacing the part of 127.0.0.1 to any IP address also worked, and this vulnerability made it possible to send requests to the internal network of a GitLab instance. You can read the issue report here: (https://gitlab.com/gitlab-org/gitlab-foss/-/issues/53242 )[https://gitlab.com/gitlab-org/gitlab-foss/-/issues/53242]
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Automating deployment to kubernetes
I recommend Auto DevOps and hooking your project up to the Kubernetes cluster. Auto DevOps is a standard CI/CD template that GitLab uses by default when .gitlab-ci.yml is not present. It can automatically package up certain types of applications, including those with a Dockerfile in the root of the repo. If the project is hooked up to a Kubernetes cluster and all the right variables are present, it builds that docker image and then fills in a Helm chart template containing that image and deploys it to the cluster.
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Beautifying our UI: Giving Gitlab build features a fresh look
Thanks. This was also requested for the UI 7 years ago
https://gitlab.com/gitlab-org/gitlab-foss/-/issues/12776
and then closed with the claim that this was implemented, when in fact, it was not.
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How we cut down our CI build times by 50%
Similar to fsync, these are designed to ensure data integrity, but in a test setup, they don't matter. You can read more about these in the Postgres doc on non-durability. and explore some benchmarks from Gitlab here. Interestingly, CircleCI's old Postgres images had these features disabled by default, but the newer ones don't seem to.
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Is Jenkins still the king?
Most all of those things are possible with Argo Workflows or Tekton with very great effort. But a sustainable system with all the features built-in.
- So weird, stage named test is not displayed in pipeline
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Gitlab for FOSS reporting
If you wish to clone a copy of GitLab without proprietary code, you can use the read-only mirror of GitLab located at https://gitlab.com/gitlab-org/gitlab-foss/. However, please do not submit any issues and/or merge requests to that project.
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Gitlab runners unable to clone over http(s) when git access set to SSH only.
GitLab versions 10.7 and later, allow the HTTP(S) protocol for Git clone or fetch requests done by GitLab Runner from CI/CD jobs, even if you select Only SSH.
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No words v2💀
it sure does
What are some alternatives?
YOLOX - YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
gitlab
torch2trt - An easy to use PyTorch to TensorRT converter
emacs - Mirror of GNU Emacs
yolov4-custom-functions - A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.
CryptPad - Collaborative office suite, end-to-end encrypted and open-source.
tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.3.1, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
taiga-docker - [Moved to: https://github.com/taigaio/taiga-docker]
jetson-inference - Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
cmark-gfm - GitHub's fork of cmark, a CommonMark parsing and rendering library and program in C
wayvnc - A VNC server for wlroots based Wayland compositors
markup - Determines which markup library to use to render a content file (e.g. README) on GitHub