yolov7
deep_sort
yolov7 | deep_sort | |
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33 | 10 | |
12,739 | 5,068 | |
- | - | |
3.2 | 0.0 | |
4 days ago | 18 days ago | |
Jupyter Notebook | Python | |
GNU General Public License v3.0 only | GNU General Public License v3.0 only |
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yolov7
- 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
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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
deep_sort
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Similari 0.26.2: MOT framework with Python bindings
Similari is a Rust/Python framework aimed at building sophisticated tracking systems. With Similari, you can develop highly efficient parallelized SORT, DeepSORT, and other sophisticated multiple-object tracking engines.
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How to integrate DeepSORT with YOLOv8
I'm doing a Python personal project where I'm trying to use YOLOv8 and DeepSORT to detect vehicles from a car's dash cam footage. I succeeded in using YOLOv8 to output the correct bounding boxes by processing each camera frame. However, I tried to add on DeepSORT code, but it made the detection accuracy significantly worse. I'm pretty sure I need to train my own "feature extractor" for DeepSORT to create a new .pb file. I got this information from the deep_sort GitHub link: https://github.com/nwojke/deep_sort. I tried to find resources to do this but they are pretty scarce. Has anyone had experience with this problem?
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Need to download resources for DeepSORT from pan.baidu.com
The feature model well that looks like it is at that domain you mentioned but why not instead of using this repo use the original authors repo
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DeepSort with PyTorch(support yolo series)
nwojke/deep_sort
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Kalman filter in Rust runs 120+ times faster than NumPy, SciKit implementation
I was implementing the Kalman filter for bounding boxes during the last two days. As an inspiration source, I looked at the Python3 Kalman filter implementation that is used in the DeepSORT algorithm and uses NumPy and SciKit under the hood, so it's pretty efficient because all the operations are run inside FFI.
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[P] The easiest way to process and tag video data
There's tons of work out there when it comes to object tracking such as DeepSort. We've worked to build simpler, more efficient solutions in-house though. Then past that, it's a matter of treating everything in the video as an object (including the whole frame), tracking it, and saving it in a no-SQL DB such that it's easy to query in this way.
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Building an API + query language for rich data like images and video
Right now, the way we're thinking about it is to turn videos into something that works with the structure of a database like MongoDB. Everything in an image or a video is an object (even the frame itself is an object with a large bounding box), and each of these objects has some attributes and can be tracked over time with some form of object tracking. Given that the objects are tracked, they can each basically be returned as a time-series of each of the attributes associated with that object.
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Could someone suggest a good article that explains the implementation of deep sort algorithm ?
Deep Sort
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How do I train the DeepSORT tracker for a custom class?
I was wondering if I could use the same annotated data(in YOLO format) for the training of the tracker as well. I took a look at the original repo for DeepSORT, and it does mention the training using cosine metric learning, but I could not seem to understand how to replicate that for my own dataset(they show us how to do it for the MARS and Market1501 datasets).
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Is it possible to track objects on the go?
DeepSORT is one of the best trackers https://github.com/nwojke/deep_sortIt requires an object detector tho, like YOLO https://pjreddie.com/darknet/yolo/
What are some alternatives?
yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite
sort - Simple, online, and realtime tracking of multiple objects in a video sequence.
edgetpu - Coral issue tracker (and legacy Edge TPU API source)
yolov4-deepsort - Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
edgetpu-yolo - Minimal-dependency Yolov5 export and inference demonstration for the Google Coral EdgeTPU
Similari - A framework for building high-performance real-time multiple object trackers
YOLOv4 - Port of YOLOv4 to C# + TensorFlow
mmdetection - OpenMMLab Detection Toolbox and Benchmark
darknet - Convolutional Neural Networks
yolo_series_deepsort_pytorch - Deepsort with yolo series. This project support the existing yolo detection model algorithm (YOLOV8, YOLOV7, YOLOV6, YOLOV5, YOLOV4Scaled, YOLOV4, YOLOv3', PPYOLOE, YOLOR, YOLOX ).
XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite