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Top 23 Python Yolo Projects
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!git clone https://github.com/ultralytics/yolov5.git ## Navigate to the model %cd yolov5/ ## Install requirements !pip install -r requirements.txt ## Download the YOLOv5 model !wget https://github.com/ultralytics/yolov5/releases/download/v6.0/yolov5s.pt
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When I look for benchmarks I always start here https://paperswithcode.com/task/instance-segmentation/codeless it has the lists of datasets to measure models accross lots o papers. Many are very specific models with low support or community but it gives you a good idea of the state of the art. It also lists repositories related to good community. https://github.com/open-mmlab/mmdetection seems very active and the one that is being used the most, you could use the models that it has integrated in its model zoo, within the same repository. It has the benchmarks to compare those same models and some of them are from 2022
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Sonar
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
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label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
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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/
So I am trying to do my best and train YOLOX for an object detection case using Google Colab.
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yolo_tracking
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
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yolov7_d2
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
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Mergify
Tired of breaking your main and manually rebasing outdated pull requests?. Managing outdated pull requests is time-consuming. Mergify's Merge Queue automates your pull request management & merging. It's fully integrated to GitHub & coordinated with any CI. Start focusing on code. Try Mergify for free.
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mmyolo
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
MMYOLO: OpenMMLab YOLO series toolbox and benchmark
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yolor
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
Project mention: Explicit and Implicit Knowledge in Object Detection (YOLOR, YOLOv7) | /r/learnmachinelearning | 2023-03-30Fellow redditors, can you please explain to me how aforementioned structures work and applied in code? I tried to read carefully the papers on YOLOv7 and YOLOR (https://arxiv.org/pdf/2207.02696.pdf, https://arxiv.org/pdf/2105.04206.pdf) but for me it feels like explanations in text have literally no relation to implementation code (I am totally not into Torch so it makes understanding even harder) (https://github.com/WongKinYiu/yolor/blob/main/utils/layers.py)
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yolov5-face
YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931) ECCV Workshops 2022)
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viseron
Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
Project mention: Viseron 2.2.0 - Self-hosted, local only NVR and AI Computer Vision software. | /r/selfhosted | 2023-04-22 -
I used yolov4 and trained model on my classes, then saved weights in file.weights. Now, I want to integrate that model into my flutter app. On firebase, there is an option to use a custom model but that requires uploading .tflite file. My question is how can I convert my trained model weights and upload them as .tflite so could be used in my app. I have tried following this https://github.com/mystic123/tensorflow-yolo-v3 but not success. I would appreciate your help in the conversion of .weights to .tflite or suggest of there is any other way round
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AI-basketball-analysis
:basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.
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Project mention: suggest me a good hcaptcha solver with best motion data and doesn't lock my tokens | /r/Discord_selfbots | 2023-05-14
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kapao
KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.
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Pine
:evergreen_tree: Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO. (by petercunha)
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datumaro
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
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ONNX-YOLOv7-Object-Detection
Python scripts performing object detection using the YOLOv7 model in ONNX.
Project mention: [D] Extracting the class labels and bounding boxes for objects, from a YOLO7 model after converting to an ONNX model | /r/MachineLearning | 2023-04-18Finally, I tried to look if someone has done similar work for the ONNX model and I found this repo which links the same repo I am trying to use, and I believe this function is doing exactly what I want to do, but I could not understand what it is doing (I don't understand how it knows exactly where the number of detections is, and where the bounding boxes are and the class labels, etc.) furthermore, I am not sure if removing end2end and the changing the version from 12 to 9 has any effect on the output shape or it has to do with the internal layers.
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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.
Python Yolo related posts
- How to use custom model for flutter app?
- DeepSort with PyTorch(support yolo series)
- Build Custom Functions for YOLOv4 with TensorFlow, TFLite & TensorRT
- YOLOv7: Trainable Bag-of-Freebies
- YOLOv7: YOLO with Transformers and Instance Segmentation
- How to Train YOLOv6 on a Custom Dataset
- A single-stage object detection framework dedicated to industrial applications
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A note from our sponsor - InfluxDB
www.influxdata.com | 23 Sep 2023
Index
What are some of the best open-source Yolo projects in Python? This list will help you:
Project | Stars | |
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1 | yolov5 | 41,711 |
2 | mmdetection | 25,509 |
3 | label-studio | 14,255 |
4 | yolov3 | 9,706 |
5 | YOLOX | 8,512 |
6 | yolo_tracking | 5,308 |
7 | yolov7_d2 | 3,102 |
8 | mmyolo | 2,141 |
9 | ScaledYOLOv4 | 2,008 |
10 | yolor | 1,906 |
11 | yolov5-face | 1,733 |
12 | keras-yolo3 | 1,598 |
13 | viseron | 1,140 |
14 | tensorflow-yolo-v3 | 892 |
15 | AI-basketball-analysis | 868 |
16 | hcaptcha-challenger | 851 |
17 | kapao | 724 |
18 | Deep-SORT-YOLOv4 | 479 |
19 | Pine | 426 |
20 | datumaro | 413 |
21 | tennis-tracking | 261 |
22 | nanonets_object_tracking | 203 |
23 | ONNX-YOLOv7-Object-Detection | 168 |