GTSRB
glasses
| GTSRB | glasses | |
|---|---|---|
| 1 | 2 | |
| 108 | 413 | |
| - | - | |
| 10.0 | 1.8 | |
| almost 2 years ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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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.
GTSRB
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Need help with a project!!
https://github.com/vamsiramakrishnan/TrafficSignRecognition https://github.com/surmenok/GTSRB/blob/master/german-traffic-signs.ipynb https://github.com/alessiamarcolini/deepstreet https://github.com/JamesLuoau/Traffic-Sign-Recognition-with-Deep-Learning-CNN https://github.com/wolfapple/traffic-sign-recognition https://github.com/hellojialee/Traffic_Sign_Recognition_Efficient_CNN
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?
SkinDeep - Get Deinked!!
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
TrafficSignRecognition - A Deep Neural Network to do traffic sign recognition
monodepth2 - [ICCV 2019] Monocular depth estimation from a single image
deepstreet - Traffic Sign Recognition - Fine tuning VGG16 + GTSRB
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).
Super-Cars-VS-SUVs - This is a deep neural network that looks at an images of cars and then classify them as suv and supercars
One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.
Traffic_Sign_Recognition_Efficient_CNNs - A repository for the paper "Real-Time Traffic Sign Recognition Based on Efficient CNNs in the Wild"
gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
CNN-Filter-DB - A database of over 1.4 billion 3x3 convolution filters extracted from hundreds of diverse CNN models with relevant meta information (CVPR 2022 ORAL)
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.