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Yolov7 Alternatives
Similar projects and alternatives to yolov7
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Onboard AI
Learn any GitHub repo in 59 seconds. Onboard AI learns any GitHub repo in minutes and lets you chat with it to locate functionality, understand different parts, and generate new code. Use it for free at www.getonboard.dev.
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edgetpu-yolo
Minimal-dependency Yolov5 export and inference demonstration for the Google Coral EdgeTPU
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XMem
[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
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Revelo Payroll
Free Global Payroll designed for tech teams. Building a great tech team takes more than a paycheck. Zero payroll costs, get AI-driven insights to retain best talent, and delight them with amazing local benefits. 100% free and compliant.
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BCNet
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
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YOLOv6
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
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latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
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hivemind
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
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theseus
A library for differentiable nonlinear optimization (by facebookresearch)
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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.
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Unicorn
[ECCV'22 Oral] Towards Grand Unification of Object Tracking (by MasterBin-IIAU)
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multiface
Hosts the Multiface dataset, which is a multi-view dataset of multiple identities performing a sequence of facial expressions.
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Cream
This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/AutoML]
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CATNet
🛰️ Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images (arXiv 2021)
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YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
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InfluxDB
Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better yolov7 alternative or higher similarity.
yolov7 reviews and mentions
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 2023-04-30.
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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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[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:
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DL for the Web: Repository of Models
Github Projects offering pretrained weights and train / run scripts. Example
- [D] yolov7 not finding GPU device: Solution
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yolov7-pose: What does the output layers of an exported onnx model mean?
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
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I made the “AI invisibility cloak." Ask AI expert Tom Goldstein about security and safety of AI systems, and how to hack them.
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
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What is the correct strides when add decoding level to a mlmodel converted from yolov7
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).
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Use YOLOv5 tensorflow.js models to speed up annotation
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.
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DeepSort with PyTorch(support yolo series)
WongKinYiu/yolov7
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A note from our sponsor - InfluxDB
www.influxdata.com | 2 Oct 2023
Stats
Basic yolov7 repo stats
32
11,295
5.4
13 days ago
WongKinYiu/yolov7 is an open source project licensed under GNU General Public License v3.0 only which is an OSI approved license.
The primary programming language of yolov7 is Jupyter Notebook.
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