TensorFlow-object-detection-tutorial
The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch (by pythonlessons)
pytorch2keras
PyTorch to Keras model convertor (by gmalivenko)
| TensorFlow-object-detection-tutorial | pytorch2keras | |
|---|---|---|
| 1 | 2 | |
| 154 | 860 | |
| 0.0% | 0.0% | |
| 0.0 | 0.0 | |
| about 5 years ago | over 2 years ago | |
| Python | Python | |
| - | MIT License |
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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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.
TensorFlow-object-detection-tutorial
Posts with mentions or reviews of TensorFlow-object-detection-tutorial.
We have used some of these posts to build our list of alternatives
and similar projects.
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Python CUDA - Multiprocessing/Pipes/Queues
I am trying to accomplish something similar to this with yolo5. https://github.com/pythonlessons/TensorFlow-object-detection-tutorial
pytorch2keras
Posts with mentions or reviews of pytorch2keras.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Help Needed: Converting PlantNet-300k Pretrained Model Weights from Tar to h5 Format Help
It's almost certainly a pickled pytorch model so you will first need to load it using pytorch and then write it out to h5 (legacy keras format) with https://github.com/gmalivenko/pytorch2keras.
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Is Pytorch good deployment wise?
But of course, you can always train a model with one framework and run inference with another. For instance, pytorch2keras does exactly this.
What are some alternatives?
When comparing TensorFlow-object-detection-tutorial and pytorch2keras you can also consider the following projects:
ImageAI - A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
NudeNet - Neural Nets for Nudity Detection and Censoring
AnimeGANv2 - [Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime
facenet-pytorch - Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
pdf2image - A python module that wraps the pdftoppm utility to convert PDF to PIL Image object
cnn-watermark-removal - Fully convolutional deep neural network to remove transparent overlays from images