Beginner-Traffic-Light-Detection-OpenCV-YOLOv3 VS yolo-tf2

Compare Beginner-Traffic-Light-Detection-OpenCV-YOLOv3 vs yolo-tf2 and see what are their differences.

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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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Posts with mentions or reviews of Beginner-Traffic-Light-Detection-OpenCV-YOLOv3. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-25.


Posts with mentions or reviews of yolo-tf2. We have used some of these posts to build our list of alternatives and similar projects.
  • How to write a resume for python / ML jobs?
    1 project | | 6 Feb 2021
    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?

When comparing Beginner-Traffic-Light-Detection-OpenCV-YOLOv3 and yolo-tf2 you can also consider the following projects:

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 (

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.