open-lpr VS crop

Compare open-lpr vs crop and see what are their differences.

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open-lpr crop
1 1
149 9
- -
1.3 0.0
about 1 year ago almost 3 years ago
Python Python
Apache License 2.0 GNU General Public License v3.0 only
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.

open-lpr

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

crop

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

What are some alternatives?

When comparing open-lpr and crop you can also consider the following projects:

dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

yolov5-crowdhuman - Head and Person detection using yolov5. Detection from crowd.

aimet - AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

yolo_tracking - BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

Super-SloMo - PyTorch implementation of Super SloMo by Jiang et al.

Automatic-License-Plate-Recognition - Automatic License Plate Recognition is implemented using Python, OpenCV and Tesseract to recognize Indian license plates and store the data in a CSV file.

darkflow - Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

yolo-tensorrt - TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.

fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:

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

license-plate-recognition - Github Template for EVA applications