Mask-RCNN-TF2 VS ssd_keras

Compare Mask-RCNN-TF2 vs ssd_keras and see what are their differences.

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Mask-RCNN-TF2 ssd_keras
1 4
297 1,842
- -
1.3 0.0
12 months ago almost 2 years ago
Python Python
GNU General Public License v3.0 or later Apache License 2.0
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Mask-RCNN-TF2

Posts with mentions or reviews of Mask-RCNN-TF2. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Mask-RCNN-TF2 yet.
Tracking mentions began in Dec 2020.

ssd_keras

Posts with mentions or reviews of ssd_keras. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-01.
  • Shared weights between different implementations
    2 projects | /r/learnmachinelearning | 1 Jan 2022
    Yeah, the order of axes was different between those 2. Another guy used https://github.com/pierluigiferrari/ssd_keras https://github.com/uhfband/keras2caffe/blob/master/keras2caffe/convert.py probably not much actual use but maybe some more reassurance?
  • Simplest way to deploy Keras NN model into C++?
    2 projects | /r/learnmachinelearning | 29 Aug 2021
    Don't know about simplest, but we either used caffe or tensorrt, it is maybe a bit difficult to use but I'd actually say simple fast GPU inference is what it's geared towards. There is a keras -> caffe converter https://github.com/pierluigiferrari/ssd_keras here, I think. Caffe is a c++ lib, typical, with dependencies and all. I've never heard anything of tensorflow running on c++. But with tensorrt you should get an "artifact" that you'd load, no matter where it comes from

What are some alternatives?

When comparing Mask-RCNN-TF2 and ssd_keras you can also consider the following projects:

albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

layout-parser - A Unified Toolkit for Deep Learning Based Document Image Analysis

zero-shot-object-tracking - Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.

cppflow - Run TensorFlow models in C++ without installation and without Bazel

efficientnet-lite-keras - Keras reimplementation of EfficientNet Lite.

InvoiceNet - Deep neural network to extract intelligent information from invoice documents.

medicaldetectiontoolkit - The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

a-PyTorch-Tutorial-to-Object-Detection - SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

SSD-pytorch - SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

These-People-Do-Not-Exist - AI that generates human faces which have never been seen before. The future is now 😁

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

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