CenterNet
yolov5
CenterNet | yolov5 | |
---|---|---|
6 | 129 | |
7,101 | 46,921 | |
- | 1.5% | |
0.0 | 8.8 | |
about 1 year ago | 10 days ago | |
Python | Python | |
MIT License | GNU Affero General Public License v3.0 |
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.
CenterNet
-
Seeking AI Model to Predict the Center of an Object in Images
CenterNet comes to mind
-
[D] Cross Shape Artifact in Heatmap
Found relevant code at https://github.com/xingyizhou/CenterNet + all code implementations here
-
CUDA errors while trying to run CenterNet
I am trying the implement this paper https://github.com/xingyizhou/CenterNet
-
I want to create a pill counter using points instead of bounding boxes. What model should I train from?
Take a look at this centernet architecture.
-
Using PyTorch and NumPy? You're making a mistake
Yeah, I'd run into this 2 years ago and ended up also reporting an issue on the Centernet repo [1]
The solution I have in that repo adapts from the very helpful discussions in the original Pytorch issue [2]
I will admit that this is *very* easy to mess up as evidenced by the fact that examples in the official tutorials for Pytorch and other well known code-bases suffer from it. In the Pytorch training framework I've developed at work, we've implemented a custom `worker_init_fn` as outlined in [1] that is the default for all "trainer" instances who are responsible for instantiating DataLoaders in 99% of our training runs.
[1] https://github.com/xingyizhou/CenterNet/issues/233
[2] https://github.com/pytorch/pytorch/issues/5059
- [P] Using PyTorch + NumPy? A bug that plagues thousands of open-source ML projects.
yolov5
-
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?
-
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
-
[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.
-
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?
-
First time working with computer vision, need help figuring out a problem in my model
You should add them without annotations. Go through this.
-
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
-
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?
What are some alternatives?
mmdetection - OpenMMLab Detection Toolbox and Benchmark
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Kornia - Geometric Computer Vision Library for Spatial AI
darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
pose-tensorflow - Human Pose estimation with TensorFlow framework
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
tensorflow - An Open Source Machine Learning Framework for Everyone
yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
DeepLabCut - Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
OpenCV - Open Source Computer Vision Library