Yolo_mark
deprecated-core
| Yolo_mark | deprecated-core | |
|---|---|---|
| 6 | 7 | |
| 1,783 | 13 | |
| - | - | |
| 10.0 | 9.1 | |
| over 3 years ago | 2 months ago | |
| C++ | Makefile | |
| The Unlicense | 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.
Yolo_mark
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Way to label yolov7 images fast
I've used Yolo_mark (https://github.com/AlexeyAB/Yolo_mark) with success when needing to label a few hundred thousand images. Its still a manual solution, but there are keyboard shortcuts for navigating between images and classes, and with some practice you can get through a ton of images quite quickly.
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Implementation of YOLO in python or C++?
What are you talking about? Darknet -- where YOLO started! -- is written in C and C++. Check the active repo: https://github.com/AlexeyAB/darknet
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I was excited about YOLOv7, so I built a sharable object detection application with VDP and Streamlit.
When YOLOv7 was out, I built a web app to test it against the classic YOLOv4 and shared it with my team, then deployed it online to share with the community.
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HOW to find MOTA and MOTP for MOT evaluation metrics?
Because I need to calculate MOTA and MOTP for the tracking metrics. please anyone with this concept help me as I am beginner to the computer vision. Incase if it helps I am working based on the github https://github.com/AlexeyAB/darknet
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How to improve a YoloV5 model after the first training?
My work heavily involves the use of the yolo algorithm such as optimising it for performance on mobile devices. Yolov5 is made by a private company that has been pushing sub bar models for a while. I've benchmarked their smallest models comparing them to Yolov4 tiny and the results were staggering, v4 being around 3-4 times faster. Yolov4 has way more resources for development, I highly suggest checking out this repo https://github.com/AlexeyAB/darknet
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[D] What are people using to organize large groups of people for data labelling?
YOLO Mark
deprecated-core
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Building an Instill AI Pipeline in 5 minutes
Step 1: Log in to your InstillAI Cloud account. If you don't have an account yet, you can create one here for free using your Email or Google or GitHub ID.
- VDP – ETL tool to streamline the end-to-end visual data processing pipeline
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[P] Introducing VDP: open-source visual data ETL
⭐️ VDP on GitHub 👉 VDP documentation
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VDP: Open-source ETL tool for unstructured visual data
Our team are building VDP, an open-source ETL tool for unstructured visual data. The idea is that with VDP, users can sync visual data from anywhere, transform the data into structured insights and load the insights into centralised warehouses or applications, just like how the modern data stack handles structured data.
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I was excited about YOLOv7, so I built a sharable object detection application with VDP and Streamlit.
Background: we're building VDP, an open-source visual data ETL tool to streamline the end-to-end visual data processing pipeline. If you're interested, check out our blog post: Introducing VDP, open-source visual data ETL.
- VDP
- Show HN: VDP – open-source unstructured visual data ETL
What are some alternatives?
labelImg - LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
basetool - Open-source internal tool framework. 💪 Empower your team and collaborators to view and manage the data you already own in a nice easy-to-use protected tool. Basetool helps you have a better handle on your data in a collaborative way so you can focus on moving your business forward.
py-motmetrics - :bar_chart: Benchmark multiple object trackers (MOT) in Python
automatisch - The open source Zapier alternative. Build workflow automation without spending time and money.
VoTT - Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
conduit - Conduit streams data between data stores. Kafka Connect replacement. No JVM required.
TensorRT-For-YOLO-Series - tensorrt for yolo series (YOLOv8, YOLOv7, YOLOv6, YOLOv5), nms plugin support
streamlit - Streamlit — A faster way to build and share data apps.
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
sqlpipe - SQLpipe makes it easy to move the result of one query from one database to another.