AlbumentationsFast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Stars: ✭ 9,353 (+9443.88%)
CaerHigh-performance Vision library in Python. Scale your research, not boilerplate.
Stars: ✭ 452 (+361.22%)
Pytorch ToolbeltPyTorch extensions for fast R&D prototyping and Kaggle farming
Stars: ✭ 942 (+861.22%)
DeepdetectDeep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
Stars: ✭ 2,306 (+2253.06%)
PbaEfficient Learning of Augmentation Policy Schedules
Stars: ✭ 461 (+370.41%)
Pixel level land classificationTutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
Stars: ✭ 217 (+121.43%)
Fast AutoaugmentOfficial Implementation of 'Fast AutoAugment' in PyTorch.
Stars: ✭ 1,297 (+1223.47%)
ailia-modelsThe collection of pre-trained, state-of-the-art AI models for ailia SDK
Stars: ✭ 1,102 (+1024.49%)
basic-image-edaA simple image dataset EDA tool (CLI / Code)
Stars: ✭ 51 (-47.96%)
DataturksML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.
Stars: ✭ 200 (+104.08%)
MedpyMedical image processing in Python
Stars: ✭ 321 (+227.55%)
Eccv2020 CodeECCV 2020 论文开源项目合集,同时欢迎各位大佬提交issue,分享ECCV 2020开源项目
Stars: ✭ 827 (+743.88%)
CatalystAccelerated deep learning R&D
Stars: ✭ 2,804 (+2761.22%)
Neural PipelineNeural networks training pipeline based on PyTorch
Stars: ✭ 315 (+221.43%)
Attention Gated NetworksUse of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
Stars: ✭ 1,237 (+1162.24%)
LabelboxLabelbox is the fastest way to annotate data to build and ship computer vision applications.
Stars: ✭ 1,588 (+1520.41%)
Concise Ipython Notebooks For Deep LearningIpython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
Stars: ✭ 23 (-76.53%)
The Third EyeAn AI based application to identify currency and gives audio feedback.
Stars: ✭ 63 (-35.71%)
Deep Learning Training GuiTrain and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.
Stars: ✭ 85 (-13.27%)
Meme GeneratorMemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.
Stars: ✭ 57 (-41.84%)
Global Self Attention NetworkA Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks
Stars: ✭ 64 (-34.69%)
Tf Mobilenet V2Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow
Stars: ✭ 85 (-13.27%)
RostensorflowTensorFlow ImageNet demo using ROS sensor_msgs/Image
Stars: ✭ 59 (-39.8%)
ImagenetTrial on kaggle imagenet object localization by yolo v3 in google cloud
Stars: ✭ 56 (-42.86%)
BsconvReference implementation for Blueprint Separable Convolutions (CVPR 2020)
Stars: ✭ 84 (-14.29%)
Fast Slic20x Real-time superpixel SLIC Implementation with CPU
Stars: ✭ 96 (-2.04%)
ImageclassificationDeep Learning: Image classification, feature visualization and transfer learning with Keras
Stars: ✭ 83 (-15.31%)
MishOfficial Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
Stars: ✭ 1,072 (+993.88%)
Divide And Co Training[Paper 2020] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.
Stars: ✭ 54 (-44.9%)
Codar✅ CODAR is a Framework built using PyTorch to analyze post (Text+Media) and predict Cyber Bullying and offensive content. 💬📷
Stars: ✭ 52 (-46.94%)
Images Web CrawlerThis package is a complete tool for creating a large dataset of images (specially designed -but not only- for machine learning enthusiasts). It can crawl the web, download images, rename / resize / covert the images and merge folders..
Stars: ✭ 51 (-47.96%)
Image Segmentation FcnSemantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow
Stars: ✭ 82 (-16.33%)
Alpha poolingCode for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.
Stars: ✭ 51 (-47.96%)
Bss distillationKnowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)
Stars: ✭ 51 (-47.96%)
SegmentationcppA c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
Stars: ✭ 49 (-50%)
Ml ClassifierA tool for quickly training image classifiers in the browser
Stars: ✭ 97 (-1.02%)
Sky DetectorSky area detection without deep neural networks https://maybeshewill-cv.github.io/sky-detector/
Stars: ✭ 96 (-2.04%)
Scene BaselinePyTorch baseline for AI challenger Scene classification
Stars: ✭ 89 (-9.18%)
MultidigitmnistCombine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning
Stars: ✭ 48 (-51.02%)
EfficientnasTowards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906
Stars: ✭ 44 (-55.1%)
Computervision RecipesBest Practices, code samples, and documentation for Computer Vision.
Stars: ✭ 8,214 (+8281.63%)
Hardhat DetectorA convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.
Stars: ✭ 41 (-58.16%)
Wb color augmenterWB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].
Stars: ✭ 89 (-9.18%)
Marta GanMARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification
Stars: ✭ 75 (-23.47%)
GrabcutwebFull web grabcut example using opencvjs
Stars: ✭ 40 (-59.18%)