Beginner-Traffic-Light-Detection-OpenCV-YOLOv3
yolo-tf2
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| Beginner-Traffic-Light-Detection-OpenCV-YOLOv3 | yolo-tf2 | |
|---|---|---|
| 3 | 1 | |
| 20 | 747 | |
| - | - | |
| 0.8 | 7.8 | |
| about 1 year ago | 8 days 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?
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.
yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.3.1, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
yolov4-custom-functions - A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
SkunkBooth - Text based command line webcam photobooth app
deepsparse - Neural network inference engine that delivers GPU-class performance for sparsified models on CPUs
onnx-tensorflow - Tensorflow Backend for ONNX
zero-shot-object-tracking - Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.
edge-tpu-tiny-yolo - Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator.