tf2-bot-kicker-gui
TrainYourOwnYOLO
| tf2-bot-kicker-gui | TrainYourOwnYOLO | |
|---|---|---|
| 4 | 1 | |
| 55 | 635 | |
| - | - | |
| 5.4 | 0.0 | |
| 23 days ago | over 1 year ago | |
| Rust | Jupyter Notebook | |
| MIT License | GNU General Public License v3.0 or later |
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tf2-bot-kicker-gui
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I found a bot kicker that works by Bash-09
It has a list of steam IDs that are known bots and will start the vote kick process for you. It uses scripting to start the voting so its not something that will get you in trouble with VAC. The instructions are on the github page.
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Should I actually start playing again?
3. Get a bot detector. These can run alongside tf2 and automatically send chat alerts and start vote kicks on known bots and cheaters, while letting you mark new accounts as bots too. The most popular one is Pazer's bot detector, for windows users. If you are a linux user, there are other less popular ones that still achieve basically the same thing with possibly some very minor drawbacks, like Googe14's bot kicker, which I use myself.
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Anyone who knows programming, could you write a script that autoreports m4gic bots?
BTW for linux users, use tf2-bot-kicker-gui
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Bot votekick bind?
Found this tool: https://github.com/Googe14/tf2-bot-kicker-gui
TrainYourOwnYOLO
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help calculating AP for yolov3 on matlab also my recall precision plot looks jank, more info in comments
Hey, so im pretty new to this and used https://github.com/AntonMu/TrainYourOwnYOLO to train a yolov3 model for pedestrian detection. I'm using the kitti object detection dataset.
What are some alternatives?
mastercomfig - A modern customization framework for Team Fortress 2
SSD-Mobilenet-Custom-Object-Detector-Model-using-Tensorflow-2 - This repository contains the script and process to create custom SSD Mobilenet model for object detection
tf2_bot_detector - Automatically detects and votekicks cheaters/bots in TF2 casual.
colabcat - :smiley_cat: Running Hashcat on Google Colab with session backup and restore.
tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
super-resolution - Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
tf2patcher - A patcher for TF2 that allows you to apply full-colored decals.
pix2seq - Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)
CleanTF2plus - Clean TF2's sequel
YOLOv3-Cloud-Based-Fire-Detection - Custom Object detection using YOLOv3 on the cloud. It is trained to detect Fire in a given frame. It can be largely used for Wildfires, fire accidents, etc.
TACO - 🌮 Trash Annotations in Context Dataset Toolkit
synthetic-dataset-object-detection - How to Create Synthetic Dataset for Computer Vision (Object Detection) (Article on Medium)