A synthetic data generator for text recognition
- synthetic
- data
- text-recognition
- training-set-generator
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Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
- nvr
- network-video-capture
- network-video-recorder
- tensorflow
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
- pytorch
- face-recognition
- face-detection
- face-alignment
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
- python
- neuroscience
- electroencephalography
- magnetoencephalography
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
- fcos
- blendmask
- abcnet
- object-detection
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
- 3d-reconstruction
- depth-prediction
- feature-matching
- global-features
Translated[Captcha Recognition - Training] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model.
- captcha-recognition
- tensorflow-tutorials
- ocr
- tensorflow
A Simple and Versatile Framework for Object Detection and Instance Recognition
- mxnet
- object-detection
- instance-segmentation
Translateduse cnn recognize captcha by tensorflow. This project targets character-based image captchas, using tensorflow to implement a convolutional neural network for captcha recognition.
- python
- cnn
- tensorflow
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
- deep-learning
- computer-vision
- speech-recognition
- 3d-convolutional-network
:speech_balloon: SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/
- speech-recognition
- python
- feature-extraction
- speechpy
:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
- convolutional-neural-networks
- deep-learning
- speaker-recognition
- 3d
Fast, free voice assistant for your Mac. No API key. Remembers you and learns your shortcuts. Hold ⌃⌥Space and talk.
OpenAmika: MekaHime's AI companion Amika, open source. Live2D avatar, real-time voice, long-term memory, OpenRouter or Ollama brain.
- ai-companion
- live2d
- long-term-memory
- mekahime
TranslatedImage Recognition captcha without image segmentation
- captcha-breaking
- python
- tensorflow
- captcha
TranslatedCNN online handwritten Chinese recognition.
- cnn
- handwrite
- recognition
- chinese
Youtu-Parsing: Perception, Structuring and Recognition via High-Parallelism Decoding && Youtu-Parsing-Omni: One Encoder, One Schema, All Modalities
Code and Pretrained Models for Interspeech 2023 Paper "Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong Audio Event Taggers"
- audio
- audio-classification
- audio-processing
- audio-tagging
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
- tensorflow
- lstm
- rnn
- stacked-layers
TranslatedCNN | Keras/PyTorch | CAPTCHA recognition
- captcha
- cnn-keras
- machine-learning
- pytorch-cnn
Translated12306 captcha recognition based on deep learning
- 12306
- captcha
- recognizer
- deep-learning
This project shows how to use CNN to perform Chinese character recognition, a much more complicated task compared to MNIST digit recognition.
Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark
- text-recognition
- ocr-recognition
- domain-adaptation
- multi-source-domain-adaptation