yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors (by WongKinYiu)
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. (by google-research)
| yolov7 | deeplab2 | |
|---|---|---|
| 33 | 5 | |
| 12,891 | 982 | |
| - | 0.0% | |
| 2.4 | 4.0 | |
| 12 days ago | about 1 year ago | |
| Jupyter Notebook | Python | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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.
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 2023-10-17.
- FLaNK Stack Weekly 16 October 2023
-
Train a ML model able to identify animal species
If you want something off-the-shelf, try YoloV7.
-
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
-
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
-
Finding a good Tiny Yolo to train in Python
The only project I found is this one that implements Yolov7
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Visualizing image augmentations from YOLOV7
I'm wondering if there's an efficient way to visualize the image augmentations from the Yolov7 hyperparameters list here
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Train YOLOv8 ObjectDetection on Custom Dataset Tutorial
yolov7: https://github.com/WongKinYiu/yolov7#performance
deeplab2
Posts with mentions or reviews of deeplab2.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-06.
-
Meet MOAT: An Artificial Intelligence (AI) Model that Combines Convolution and Attention Operations to Achieve Powerful Vision Models
Quick Read: https://www.marktechpost.com/2022/12/30/meet-moat-an-artificial-intelligence-ai-model-that-combines-convolution-and-attention-operations-to-achieve-powerful-vision-models/ Paper: https://arxiv.org/pdf/2210.01820.pdf Github: https://github.com/google-research/deeplab2
- [D] Most Popular AI Research July 2022 pt. 2 - Ranked Based On GitHub Stars
- Most Popular AI Research July 2022 pt. 2 - Ranked Based On GitHub Stars
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[P] DeepLab2: A TensorFlow Library for Deep Labeling web demo
github: https://github.com/google-research/deeplab2
- DeepLab2 – New deep labeling library for TensorFlow
What are some alternatives?
When comparing yolov7 and deeplab2 you can also consider the following projects:
yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite
XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
edgetpu - Coral issue tracker (and legacy Edge TPU API source)
multiface - Hosts the Multiface dataset, which is a multi-view dataset of multiple identities performing a sequence of facial expressions.
edgetpu-yolo - Minimal-dependency Yolov5 and Yolov8 export and inference demonstration for the Google Coral EdgeTPU
Unicorn - [ECCV'22 Oral] Towards Grand Unification of Object Tracking
YOLOv4 - Port of YOLOv4 to C# + TensorFlow
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
darknet - Convolutional Neural Networks
NUWA - A unified 3D Transformer Pipeline for visual synthesis
Cream - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/AutoML]