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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.
Track-Anything: a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything and XMem.
3 projects | /r/StableDiffusion | 25 Apr 2023
Nvm just found the occlusion video on https://github.com/hkchengrex/XMem holy shit
[D] Most important AI Paper´s this year so far in my opinion + Proto AGI speculation at the end
10 projects | /r/MachineLearning | 14 Aug 2022
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model ( Added because of the Atkinson-Shiffrin Memory Model ) Paper: https://arxiv.org/abs/2207.07115 Github: https://github.com/hkchengrex/XMem
[D] Most Popular AI Research July 2022 pt. 2 - Ranked Based On GitHub Stars
10 projects | /r/MachineLearning | 6 Aug 2022
Most Popular AI Research July 2022 pt. 2 - Ranked Based On GitHub Stars
10 projects | /r/learnmachinelearning | 2 Aug 2022
I trained a neural net to watch Super Smash Bros
3 projects | /r/computervision | 25 Jul 2022
Yeah MiVOS would speed up your tagging a lot. I also was curious if you saw XMem which just came out. I found that worked really well too.
[R] Unicorn: 🦄 : Towards Grand Unification of Object Tracking(Video Demo)
2 projects | /r/MachineLearning | 18 Jul 2022
Have you check XMem?
Train a ML model able to identify animal species
2 projects | /r/computervision | 30 Apr 2023
If you want something off-the-shelf, try YoloV7.
[D] Extracting the class labels and bounding boxes for objects, from a YOLO7 model after converting to an ONNX model
4 projects | /r/MachineLearning | 18 Apr 2023
(Please note, this is a re-post of my original question here, I think this subreddit might be more appropriate for asking this question)At work, we use Unity, we have a project that needs object detection and classification. We decided to use this YOLO7 model (for non-technical reasons, It had to be the exact same model as the company does have pre-trained weights for this exact model). However, Unity only supports ONNX so I exported the model as an ONNX model, using the code provided in the repo:
DL for the Web: Repository of Models
2 projects | /r/deeplearning | 27 Feb 2023
Github Projects offering pretrained weights and train / run scripts. Example
[D] yolov7 not finding GPU device: Solution
2 projects | /r/MachineLearning | 17 Dec 2022
yolov7-pose: What does the output layers of an exported onnx model mean?
2 projects | /r/computervision | 23 Nov 2022
I played around with the demo code of human pose estimation of the yolov7 model (https://github.com/WongKinYiu/yolov7/tree/pose) and wanted to convert this to onnx format in order to continue in a C++ environment.
[P] Any object detection library
3 projects | /r/MachineLearning | 19 Nov 2022
I made the “AI invisibility cloak." Ask AI expert Tom Goldstein about security and safety of AI systems, and how to hack them.
3 projects | /r/IAmA | 3 Nov 2022
I would add that Yolo has evolved over time, and variants of the architecture continue to come out today. Here's one that came out this summer: https://github.com/WongKinYiu/yolov7
What is the correct strides when add decoding level to a mlmodel converted from yolov7
2 projects | /r/learnmachinelearning | 23 Oct 2022
there is a trained custom model with yolov7 that was converted to mlmodel with export.py (from the yolov7 repository: https://github.com/WongKinYiu/yolov7).
Use YOLOv5 tensorflow.js models to speed up annotation
3 projects | /r/deeplearning | 4 Oct 2022
Hi u/DDDqp! YOLOv7 is for sure on my list. Problem is that, as it is right now YOLOv7 does not offer export to tensorflow.js. I actually created the issue by asking if they plan to add that export: https://github.com/WongKinYiu/yolov7/issues/885 No response yet. But I think it is more than possible. I can even work on that export for them. If they would have exported to tfjs, than I most certainly can work on the NPM package.
DeepSort with PyTorch(support yolo series)
13 projects | /r/u_No_Experience9104 | 20 Sep 2022
What are some alternatives?
yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite
edgetpu - Coral issue tracker (and legacy Edge TPU API source)
edgetpu-yolo - Minimal-dependency Yolov5 export and inference demonstration for the Google Coral EdgeTPU
YOLOv4 - Port of YOLOv4 to C# + TensorFlow
darknet - Convolutional Neural Networks
BCNet - Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
CATNet - 🛰️ Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images (arXiv 2021)
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
YOLOv6 - YOLOv6: a single-stage object detection framework dedicated to industrial applications.
Cream - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/AutoML]
yolact - A simple, fully convolutional model for real-time instance segmentation.
deeplab2 - DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.