yolo-tf2 VS yolov4-custom-functions

Compare yolo-tf2 vs yolov4-custom-functions and see what are their differences.

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yolo-tf2 yolov4-custom-functions
1 3
747 587
- -
7.6 0.0
almost 2 years ago about 1 year ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

yolo-tf2

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 | /r/learnmachinelearning | 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 ...

yolov4-custom-functions

Posts with mentions or reviews of yolov4-custom-functions. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing yolo-tf2 and yolov4-custom-functions you can also consider the following projects:

Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.

tensorrt_demos - TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet

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.

yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Beginner-Traffic-Light-Detection-OpenCV-YOLOv3 - This is a python program using YOLO and OpenCV to detect traffic lights. Works in The Netherlands, possibly other countries

Swin-Transformer-Tensorflow - Unofficial implementation of "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" (https://arxiv.org/abs/2103.14030)

deepsparse - Sparsity-aware deep learning inference runtime for CPUs

FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

mousehunter-edge - Cat with prey detection on Raspberry Pi. Lock cat pet flap if prey is detected. Object detection implemented in TFLite with ImageNet v1 SSD. Inference on EdgeTPU (Google Coral USB). Stores images on AWS S3 and sends notifications to iOS device.