models VS SSD-Mobilenet-Custom-Object-Detector-Model-using-Tensorflow-2

Compare models vs SSD-Mobilenet-Custom-Object-Detector-Model-using-Tensorflow-2 and see what are their differences.

models

A tool for automated migrations for PostgreSQL, SQLite and MySQL. (by tvallotton)

SSD-Mobilenet-Custom-Object-Detector-Model-using-Tensorflow-2

This repository contains the script and process to create custom SSD Mobilenet model for object detection (by abhimanyu1990)
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models SSD-Mobilenet-Custom-Object-Detector-Model-using-Tensorflow-2
2 1
50 46
- -
0.0 0.0
over 2 years ago about 1 year ago
Rust Jupyter Notebook
Apache License 2.0 -
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.

models

Posts with mentions or reviews of models. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-21.
  • Automated migrations for Rust
    2 projects | /r/rust | 21 Sep 2021
    For Postgres and Mysql I only do a move if the user changed the type of a column. However, I'm not sure if this is absolutely necessary. I may revisit that, as I don't want to generate unnecessary moves. For Sqlite3, moves are necessary if the user wants to either delete a column, delete a constraint or add a constraint, as it doesn't support those statements. The program should create a table called temp, move all the rows to the new table, and then rename it. I'm not so proud of the code as it is right now though. I think it can still be a little clearer, but in line 203 of get_changes.rs you can see the point at which is determined if a move to a temporary table occurs.

SSD-Mobilenet-Custom-Object-Detector-Model-using-Tensorflow-2

Posts with mentions or reviews of SSD-Mobilenet-Custom-Object-Detector-Model-using-Tensorflow-2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-24.

What are some alternatives?

When comparing models and SSD-Mobilenet-Custom-Object-Detector-Model-using-Tensorflow-2 you can also consider the following projects:

tensorflow - An Open Source Machine Learning Framework for Everyone

TrainYourOwnYOLO - Train a state-of-the-art yolov3 object detector from scratch!

Tesseract.js - Pure Javascript OCR for more than 100 Languages πŸ“–πŸŽ‰πŸ–₯

models - A collection of pre-trained, state-of-the-art models in the ONNX format

deeplab-training - Training your own Deeplab Model in Tensorflow

Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

models - Models and examples built with TensorFlow

TTS - :robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

TTS - πŸΈπŸ’¬ - a deep learning toolkit for Text-to-Speech, battle-tested in research and production