InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises. Learn more →
Top 23 Python Yolov3 Projects
-
Project mention: Real-Time Object Detection with YOLO: A Step-by-Step Guide with Realtime Fire Detection Example. | dev.to | 2023-01-03
In this blog, In this tutorial we'll explore the working of the YOLO model and how it can be used for real-time fire detection using implimentation from Ultralytics [https://github.com/ultralytics/yolov5]. We will use transfer-learning techniques from P5 models (P5 models are model supported by ultralytics and differs in architecture and parameter size) to train our own model, evaluate its performances and use it for inference.
-
PaddleDetection
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Project mention: Paddledetection - Object detection toolkit based on paddlepaddle | reddit.com/r/github_trends | 2022-06-07 -
InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
-
Project mention: [Tutorial] "Fine Tuning" Stable Diffusion using only 5 Images Using Textual Inversion. | reddit.com/r/StableDiffusion | 2022-08-23
Hey. I only have experience using the official repository, and only use Linux. Could you try the solutions here and see if it helps? https://github.com/ultralytics/yolov3/issues/1643
-
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/
Project mention: [P] Image search with localization and open-vocabulary reranking. | reddit.com/r/MachineLearning | 2022-12-15I wanted to have a few choices getting localization into image search (index and search time). I immediately thought of using a region proposal network (rpn) from mask-rcnn to create patches that can also be indexed and searched (and add the localisation). I figured it might be somewhat agnostic to classes. I did not want to use mmdetection or detectron2 due to their dependencies and just getting the rpn was not worth it. I was encouraged by the PyTorch native implementations of detection/segmentation models but ended up finding yolox the best.
-
Project mention: DeepSort with PyTorch(support yolo series) | reddit.com/r/u_No_Experience9104 | 2022-09-20
ZQPei/deep_sort_pytorch
-
tensorflow-yolov4-tflite
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
-
Project mention: DeepSort with PyTorch(support yolo series) | reddit.com/r/u_No_Experience9104 | 2022-09-20
WongKinYiu/ScaledYOLOv4
-
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.
-
tensorrt_demo github repository
-
-
deepsparse
Inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application
Project mention: [D] How to get the fastest PyTorch inference and what is the "best" model serving framework? | reddit.com/r/MachineLearning | 2022-10-28For 1), what is the easiest way to speed up inference (assume only PyTorch and primarily GPU but also some CPU)? I have been using ONNX and Torchscript but there is a bit of a learning curve and sometimes it can be tricky to get the model to actually work. Is there anything else worth trying? I am enthused by things like TorchDynamo (although I have not tested it extensively) due to its apparent ease of use. I also saw the post yesterday about Kernl using (OpenAI) Triton kernels to speed up transformer models which also looks interesting. Are things like SageMaker Neo or NeuralMagic worth trying? My only reservation with some of these is they still seem to be pretty model/architecture specific. I am a little reluctant to put much time into these unless I know others have had some success first.
-
Project mention: Does Multi Object Tracking work better (precision/recall) on videos than jury rigging a SOTA image object detection to work on videos? | reddit.com/r/computervision | 2022-06-01
-
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
-
-
yolov4-custom-functions
A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.
Project mention: How can i count Enter and Exit in Yolov Object Detection? | reddit.com/r/learnpython | 2022-09-18Object detection and counting project: https://github.com/theAIGuysCode/yolov4-custom-functions
-
-
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)
Project mention: Microsoft are actually the ones to bring Fortnite to Linux | reddit.com/r/linux_gaming | 2022-05-05 -
Traffic-Signal-Violation-Detection-System
A Computer Vision based Traffic Signal Violation Detection System from video footage using YOLOv3 & Tkinter. (GUI Included)
Project mention: Traffic Signal Violation Detection System using Computer Vision - copyassignment.com | reddit.com/r/programming | 2022-06-04Traffic Signal Violation Detection System Github link
-
-
-
tensorflow-lite-YOLOv3
YOLOv3: convert .weights to .tflite format for tensorflow lite. Convert .weights to .pb format for tensorflow serving
-
-
yolo_series_deepsort_pytorch
Deepsort with yolo series. This project support the existing yolo detection model algorithm (YOLOv3, YOLOV4, YOLOV4Scaled, YOLOV5, YOLOV6, YOLOV7, YOLOV8, YOLOX, YOLOR, PPYOLOE ).
Project mention: DeepSort with PyTorch(support yolo series) | reddit.com/r/u_No_Experience9104 | 2022-09-20git clone https://github.com/xuarehere/yolovx_deepsort_pytorch.git
-
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Python Yolov3 related posts
- Real-Time Object Detection with YOLO: A Step-by-Step Guide with Realtime Fire Detection Example.
- Help for sorting project
- Need to download resources for DeepSORT from pan.baidu.com
- YOLOv5 SOTA Realtime Instance Segmentation
- CPSA custom models
- What is Pruning YOLO?
- Object detection model learns backgrounds and not objects
-
A note from our sponsor - InfluxDB
www.influxdata.com | 3 Feb 2023
Index
What are some of the best open-source Yolov3 projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | yolov5 | 34,913 |
2 | PaddleDetection | 9,386 |
3 | yolov3 | 9,271 |
4 | YOLOX | 7,801 |
5 | deep_sort_pytorch | 2,409 |
6 | tensorflow-yolov4-tflite | 2,121 |
7 | ScaledYOLOv4 | 1,986 |
8 | tensorrt_demos | 1,586 |
9 | YOLOv3_TensorFlow | 1,544 |
10 | deepsparse | 1,250 |
11 | FastMOT | 971 |
12 | tensorflow-yolo-v3 | 891 |
13 | multi-object-tracker | 602 |
14 | yolov4-custom-functions | 533 |
15 | Deep-SORT-YOLOv4 | 462 |
16 | Pine | 385 |
17 | Traffic-Signal-Violation-Detection-System | 341 |
18 | yolo-hand-detection | 208 |
19 | xview-yolov3 | 207 |
20 | tensorflow-lite-YOLOv3 | 100 |
21 | edge-tpu-tiny-yolo | 94 |
22 | yolo_series_deepsort_pytorch | 33 |
23 | human-detection | 27 |