yolov5
developer-roadmap
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yolov5 | developer-roadmap | |
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129 | 2,111 | |
46,921 | 274,946 | |
3.3% | - | |
8.8 | 9.8 | |
4 days ago | 1 day ago | |
Python | TypeScript | |
GNU Affero General Public License v3.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
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?
developer-roadmap
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5 Uncommon Advices from one beginner coder to another beginner coder!
There's a website I personally follow specific for roadmaps called as “roadmap.sh” where all the roadmaps are available. You can check it out, if you like. Here's the link: ▶️ https://roadmap.sh/
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Programming vs Web Development
If you're starting your journey in web development, here is a roadmap to follow. Understand that Web development is not merely an extension of programming; it's a distinct field that requires a unique blend of coding and visual design skills. Embrace the importance of visual aesthetics from the get-go, and continuously work on improving your design sense. Trust me it will pay off in the long run, and you'll be able to create truly exceptional web experiences that not only function well but also look and feel amazing.
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Developer should-know websites
Github developer roadmaps (backend, frontend, cloud ...)
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Unique websites for the Developer - TechGenieDev
Roadmap.sh (https://roadmap.sh/)
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Top 10 GitHub Repositories Every Web Developer Should Know
Web Developer-Roadmap GitHub Link: developer-roadmap Crafted by kamranahmedse, this roadmap acts as a compass for developers navigating the vast landscape of technologies. Covering front-end, back-end, and DevOps, it aids developers in charting a learning path aligned with their goals.
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10 GitHub repositories that every developer must follow
✅ kamranahmedse/developer-roadmap: https://github.com/kamranahmedse/developer-roadmap
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ChatGPT as a Programming Mentor: A Test Drive
It may also be beneficial to start with a high-level overview of what there is to learn in a given area, to understand the overall lay of the land - and then use ChatGPT to dig deeper into selected topics. There are many good resources that provide such an overview, like roadmap.sh or my "Definitive Guide to Succeeding as a Professional Dev".
- 18 Must-Bookmark GitHub Repositories Every Developer Should Know
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Resources I wish I knew when I started my career
5. Roadmap
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The Top 10 GitHub Repositories Making Waves 🌊📊
Equipment: Find out more about career paths in development at https://roadmap.sh/. For a detailed self-taught program, see Kamran Ahmed’s Computer Science Roadmap: https://roadmap.sh/computer-science.
What are some alternatives?
mmdetection - OpenMMLab Detection Toolbox and Benchmark
C++ Workflow - C++ Parallel Computing and Asynchronous Networking Framework
detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
computer-science - :mortar_board: Path to a free self-taught education in Computer Science!
darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
freeCodeCamp - freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
data-engineer-roadmap - Roadmap to becoming a data engineer in 2021
yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
substrate - Substrate: The platform for blockchain innovators
OpenCV - Open Source Computer Vision Library
system-design-primer - Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.