Beginner-Traffic-Light-Detection-OpenCV-YOLOv3
yolo-tf2
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| Beginner-Traffic-Light-Detection-OpenCV-YOLOv3 | yolo-tf2 | |
|---|---|---|
| 3 | 1 | |
| 34 | 747 | |
| - | - | |
| 3.2 | 7.6 | |
| about 3 years ago | almost 2 years ago | |
| Python | Python | |
| MIT License | MIT License |
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Beginner-Traffic-Light-Detection-OpenCV-YOLOv3
- Beginner tutorial for Traffic Light Detection using Opencv and YOLOv3
- Traffic Light Detection for Beginners Using OpenCV and YOLOv3
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I made a traffic light detection program with a self-trained dataset
This is my first CV project. I made a Python program that identifies Traffic Lights in video's. The dataset I made consists of hundreds of images of Traffic lights I made myself using my Dashcam. The training was done with a Google Colab GPU.Please take a look at my project and let me know what you think! (https://github.com/initdebugs/Beginner-Traffic-Light-Detection-OpenCV-YOLOv3)
yolo-tf2
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How to write a resume for python / ML jobs?
my most useful project is yolo object detector implementation in tf2 and I'm currently working on 2 other projects, one of which is the implementation of various drl algorithms in tf and the other project will be based on the latter and it's concerned with trading. The rest are more of scripts rather than projects ex: web scraping, file management, programming challenges ...
What are some alternatives?
SkunkBooth - Text based command line webcam photobooth app
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
imagezmq - A set of Python classes that transport OpenCV images from one computer to another using PyZMQ messaging.
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
YOLO-Mosaic - Perform mosaic image augmentation on data for training a YOLO model
deepsparse - Sparsity-aware deep learning inference runtime for CPUs
opencv-steel-darts - Automatic scoring system for steel darts using OpenCV, a Raspberry Pi 3 Model B and two webcams.
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
Batch-crop-images - A tool for cropping similar images in a batch with an interface.
yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
sort - Simple, online, and realtime tracking of multiple objects in a video sequence.
onnx-tensorflow - Tensorflow Backend for ONNX