ssd_keras VS cppflow

Compare ssd_keras vs cppflow and see what are their differences.

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ssd_keras cppflow
4 9
1,842 756
- -
0.0 0.0
almost 2 years ago 10 months ago
Python C++
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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

cppflow

Posts with mentions or reviews of cppflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-20.

What are some alternatives?

When comparing ssd_keras and cppflow you can also consider the following projects:

examples - TensorFlow examples

onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

qt-tf-lite-example - Qt TensorFlow Lite example

keras2cpp - This is a bunch of code to port Keras neural network model into pure C++.

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.

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

emlearn - Machine Learning inference engine for Microcontrollers and Embedded devices

Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0

DeepSpeech - DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

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