glasses
One-Piece-Image-Classifier
glasses | One-Piece-Image-Classifier | |
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2 | 1 | |
413 | 2 | |
- | - | |
1.8 | 0.0 | |
over 1 year ago | about 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | GNU General Public License v3.0 only |
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glasses
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Are Open-sourced Implementations Sometimes Over-engineered?
Yes, they are. Take with a grain of salt, but researchers (usually) do not know how to code and (or) they don't care to properly share their work. Things that are learned in the first Computer Science bachelor year, like OOP, DRY, packages, good variables/function naming, are apparently not used in ml research. This is why I created my own library (https://github.com/FrancescoSaverioZuppichini/glasses), for me, good code means less time I have to spend working and more free time.
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[N] Facebook announced a new AI open-source called DeiT (A new technique to train computer vision models)
I have implemented most of the sota models in my library (https://github.com/FrancescoSaverioZuppichini/glasses). These are my 2 cents:
One-Piece-Image-Classifier
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Finetuning with Tensorflow - Image Classification
You can learn more about the project repository on the link below : https://github.com/Justsecret123/One-Piece-Image-Classifier
What are some alternatives?
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
PConv-Keras - Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai
monodepth2 - [ICCV 2019] Monocular depth estimation from a single image
Human-pose-estimation - A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.
conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
tutorial-face-mask-detection - In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
Playing-Cards-Classification-TensorFlow-CNN - CNN Model to Classify Playing Cards