deprecated-core
🔮 Instill Core contains components for supporting Instill VDP and Instill Model (by instill-ai)
yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors (by WongKinYiu)
| deprecated-core | yolov7 | |
|---|---|---|
| 7 | 35 | |
| 13 | 14,093 | |
| - | -0.1% | |
| 9.1 | 1.3 | |
| over 2 years ago | almost 2 years ago | |
| Makefile | Jupyter Notebook | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
deprecated-core
Posts with mentions or reviews of deprecated-core.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-06.
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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
yolov7
Posts with mentions or reviews of yolov7.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-12-29.
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Using Object Detection Model YOLOV7 with Tensorflow.Js
!# Download trained weights !wget https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7-tiny.pt
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Convert LabelMe Annotations to YOLO Format with labelme-to-yolo
Convert LabelMe format into YoloV7 format for instance segmentation.
- FLaNK Stack Weekly 16 October 2023
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Train a ML model able to identify animal species
If you want something off-the-shelf, try YoloV7.
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A video based Latin dictionary: get what you see in Latin (beta) - What do you think?
The current dictionary is still in a beta state and has only been trained on 80 words (e.g. 'man', 'dog', 'car', 'keyboard', 'book', etc.; see list of words, see dataset). I used the object detection model Yolov7 (paper, all credits to them).
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[D] Extracting the class labels and bounding boxes for objects, from a YOLO7 model after converting to an ONNX model
(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:
- Coding Question Help
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DL for the Web: Repository of Models
Github Projects offering pretrained weights and train / run scripts. Example
- [OC] Football Player 3D Pose Estimation using YOLOv7 and Matplotlib
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Finding a good Tiny Yolo to train in Python
The only project I found is this one that implements Yolov7
What are some alternatives?
When comparing deprecated-core and yolov7 you can also consider the following projects:
sqlpipe - SQLpipe makes it easy to move the result of one query from one database to another.
yolov3 - Ultralytics YOLOv3 in PyTorch > ONNX > CoreML > TFLite
instill-core - 🔮 Instill Core is a full-stack AI infrastructure tool for data, model and pipeline orchestration, designed to streamline every aspect of building versatile AI-first applications
YOLOv6 - YOLOv6: a single-stage object detection framework dedicated to industrial applications.
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.
yolact - A simple, fully convolutional model for real-time instance segmentation.