585 Open source projects that are alternatives of or similar to car-crash-accident

Deploying Keras models using TensorFlow Serving and Flask

Face recognition using facenet

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

This is a highly separated deployment project based on Deepstream , including the full range of Yolo and continuously expanding deployment projects such as Ocr.

Test Time image Augmentation (TTA) wrapper for Keras model.

Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.

A tool for quickly training image classifiers in the browser

Object Detection using Yolo V3 and OpenCV

Official Implementation of 'Fast AutoAugment' in PyTorch.

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

mxnet implementation of yolo and darknet2mxnet converter

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

A pytorch implementation of YOLOv1-v3

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

Darknet on OpenCL Convolutional Neural Networks on OpenCL on Intel & NVidia & AMD & Mali GPUs for macOS & GNU/Linux

PyTrx is a Python object-oriented programme created for the purpose of calculating real-world measurements from oblique images and time-lapse image series. Its primary purpose is to obtain velocities, surface areas, and distances from oblique, optical imagery of glacial environments.

An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

NSFW classify model implemented with tensorflow.

An AI based application to identify currency and gives audio feedback.

Easy-to-use scripts for training and inferencing with Xception on your own dataset

convert keras (tensorflow backend) yolov3 h5 model file to darknet yolov3 weights

📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).

Train a TensorFlow model on Kubernetes to recognize art culture based on the collection from the Metropolitan Museum of Art

DroNet: Efficient convolutional neural network detector for Real-Time UAV applications

[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.

ImVisible: Pedestrian Traffic Light Dataset, Neural Network, and Mobile Application for the Visually Impaired (CAIP '19, ICCVW'19)

This 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..

No description or website provided.

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)

An AI Tool to Help Customers Monitor Social Distancing in the Workplace.

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906

Implementing Billion-scale semi-supervised learning for image classification using Pytorch

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)

Utils for fast.ai course

Resolver Sudoku de genina.com

Fast 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

about how to use stagesepx in production

Organize your meme image cluster in a better format using OCR from the meme to sort them using tesseract along with editing memes by segmenting them using OpenCV within a directory

Retrained InceptionV3 image classification model

A Simple Deep Neural Network to classify images made with Keras

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

No description or website provided.

A simple example on Image Classification in Node.js with TensorFlow.js

Intelligent APIs aim to make machine learning (ML) tasks easier for UWP developers to leverage in their applications without needing ML expertise or creating a new model.

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

Yolov3 on tensorflow2.0 and tensorrt7.0

Scaled-YOLOv4: Scaling Cross Stage Partial Network

Traffic Sign Recognition with Keras.

Pytorch implementation of pyramidnet

Only in native python & numpy with Keras interface

This demo uses a deep neural network and two generic cameras to perform 3D pose estimation.

📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

Code implementation of our paper "CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation"