yolov5
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yolov5 | thefuck | |
---|---|---|
129 | 305 | |
46,921 | 82,804 | |
3.3% | - | |
8.8 | 4.8 | |
5 days ago | about 2 months ago | |
Python | Python | |
GNU Affero General Public License v3.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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yolov5
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จำแนกสายพันธ์ุหมากับแมวง่ายๆด้วยYoLoV5
Ref https://www.youtube.com/watch?v=0GwnxFNfZhM https://github.com/ultralytics/yolov5 https://dev.to/gfstealer666/kaaraich-yolo-alkrithuemainkaartrwcchcchabwatthu-object-detection-3lef https://www.kaggle.com/datasets/devdgohil/the-oxfordiiit-pet-dataset/data
- How would i go about having YOLO v5 return me a list from left to right of all detected objects in an image?
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Building a Drowsiness Detection Web App from scratch - pt2
!git clone https://github.com/ultralytics/yolov5.git ## Navigate to the model %cd yolov5/ ## Install requirements !pip install -r requirements.txt ## Download the YOLOv5 model !wget https://github.com/ultralytics/yolov5/releases/download/v6.0/yolov5s.pt
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[Help: Project] Transfer Learning on YOLOv8
Specifically what I did was take the coco128.yaml, added 6 new classes from Dataset A (which have already been converted to YOLO Darknet TXT), from index 0-5 and subsequently adjusted the indices of the other COCO classes. The I proceeded to train and validate on Dataset A for 20 epochs.
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Changing labels of default YOLOv5 model
I am using the default YOLOv5m6 model here with sahi/yolov5 library for my object detection project. I want to change just some of labels - for example when YOLO detects a human, I want it to label the human as "threat", not "person". Is there any way I can do it just changing some code, or I should train the model from scratch by just changing labels?
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First time working with computer vision, need help figuring out a problem in my model
You should add them without annotations. Go through this.
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AI Camera?
You are correct and if you check the firmware, it's yet another famous 3rd party project without attribution, namely https://github.com/ultralytics/yolov5
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First non-default print on K1 - success
On one side, being a Linux user for 24 years now, it annoys me that they rip off code and claiming it as theirs again, thus violating licenses, but on the other thanks to k3d's exploit I'm able to tinker more with the machine and if needed do (selective) updates by hand then with a closed source system. It's not just "klipper", with klipper, fluidd and moonraker, it's also ffmpeg and mjpegstreamer. It's gonna be interesting since they also use a project that isn't just GPL, but APGL (in short "If your software gives service online, you have to publish the source code of it and any library that it borrows functions from.") - they use yolov5 (for AI).
- How does the background class work in object detection?
thefuck
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Control Linux based distros using hand gestures using OpenCV, GTK, Mediapipe
Are you by chance interested in a command named after the four-letter word, which automatically fixes and reruns the last command: https://github.com/nvbn/thefuck
- Thefuck: Correct errors in previous console commands
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thefuck VS oh-crab - a user suggested alternative
2 projects | 5 Jan 2024
- Milyen hasznos Github repokat ismertek?
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Code and Chill Guide 2023
With a good terminal, you can work 2-4 times faster. This will save time and reduced your errors. You can also use fuck (just like how you swear most of the time) to correct errors easily.
- Thefuck: Correct Your Previous Console Command
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Proof of Concept: Local LLM to execute terminal comands (Here GPT-2)
Now I want a thefuck implementation via uncensored LLMs.
- better than admitting I'm too too lazy to correct the command
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How to start a Go project in 2023
>spellcheck on commands
I prefer to just type "fuck":
https://github.com/nvbn/thefuck
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What's everyone working on this week (21/2023)?
I am starting to learn Rust and I am starting to implement the fuck CLI tool in Rust. Do you think this is a good use of my learning time?
What are some alternatives?
mmdetection - OpenMMLab Detection Toolbox and Benchmark
ohmyzsh - 🙃 A delightful community-driven (with 2,300+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
httpie - 🥧 HTTPie CLI — modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.
darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
fish-shell - The user-friendly command line shell.
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
howdoi - instant coding answers via the command line
yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
aws-cli - Universal Command Line Interface for Amazon Web Services
OpenCV - Open Source Computer Vision Library
poe-archnemesis-scanner - Tool for Path of Exile game to automatically scan Archemesis inventory and display related information