yolo_tracking
Auto-GPT
| yolo_tracking | Auto-GPT | |
|---|---|---|
| 8 | 104 | |
| 6,126 | 72,359 | |
| - | - | |
| 9.9 | 9.8 | |
| 7 days ago | about 1 year 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.
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.
yolo_tracking
- FLiPN-FLaNK Stack Weekly for 17 April 2023
- Person head count
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[P] Vehicle detection with pytorch
You can use YOLOv5 with the StrongSORT. We have been using it for human detection and tracking. It works really well and YOLOv5 in general really easy to use and implement out of the box. here is the repo that we are using.
- ID Swap issue in multi-object tracking.
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tracking-by-detection, multiple object tracking algorithm
Try looking into DeepSort, which uses a deep association metric in addition to the traditional SORT algorithm to kind of improve upon the ID reassignment issue. However, I suspect you would have to come up with your own re-id model since you have a unique object you're trying to detect. Here's the paper . I've had decent results using https://github.com/mikel-brostrom/Yolov5_DeepSort_OSNet as an out of the box implementation for coco object. It's written in PyTorch.
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Object tracking in videos?
https://github.com/mikel-brostrom/Yolov5_DeepSort_Pytorch I see this combination mentioned a decent amount
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Deepsort stuck in tentative
https://github.com/mikel-brostrom/Yolov5_DeepSort_Pytorch/blob/master/deep_sort_pytorch/deep_sort/sort/tracker.py.
Auto-GPT
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How I am catching up with AI
A few notable examples of these leaps in AI technology include GPT-3.5, GPT-4, ChatGPT, Midjourney, Dall-e 2, AutoGPT, and Github Next.
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How to install Auto-GPT on Mac
Why did you clone git clone https://github.com/Torantulino/Auto-GPT.git instead of https://github.com/Significant-Gravitas/Auto-GPT.git Does it matter?
- [Termux] Comment exécuter Auto-GPT sur Android?
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Don’t Build Your House on Someone Else’s Land
You can also use the API key with tools such as TypingMind and Auto-GPT.
- [Chatgptpro] Auto-GPT (intento de código abierto para hacer que GPT4 sea completamente autónomo)
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[Machine Learning] [D] Que pensez-vous de ce problème sur Auto-GPT?
[https://github.com/torantulino/auto-gpt/issues/475
- [Chatgptpro] Auto-GPT (open source tente de rendre GPT4 entièrement autonome)
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How do I update Auto GPT ?
git clone --branch stable https://github.com/Torantulino/Auto-GPT.git $ git pull $ pip3 install -r requirements.txt
- [Singularity] Chaos GPT: Utilisation de l'auto-GPT pour créer un agent d'IA hostile mis sur la destruction de l'humanité
- FLiPN-FLaNK Stack Weekly for 17 April 2023
What are some alternatives?
yolact - A simple, fully convolutional model for real-time instance segmentation.
gpt4all - gpt4all: run open-source LLMs anywhere
ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
llama.cpp - LLM inference in C/C++
FairMOT - [IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
JARVIS - JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
segment-anything - The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
babyagi
classy-sort-yolov5 - Ready-to-use realtime multi-object tracker that works for any object category. YOLOv5 + SORT implementation.
AgentGPT - 🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
SuperAGI - <⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.