One-Piece-Image-Classifier
glasses
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One-Piece-Image-Classifier | glasses | |
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1 | 2 | |
2 | 413 | |
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0.0 | 1.8 | |
almost 2 years ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
GNU General Public License v3.0 only | MIT License |
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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
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:
What are some alternatives?
PConv-Keras - Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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).
computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.
gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
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.
monodepth2 - [ICCV 2019] Monocular depth estimation from a single image
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
Network-Intrusion-Detection-Using-Machine-Learning - A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision