1413 Open source projects that are alternatives of or similar to Frostnet

PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference

An open source framework for deep learning on satellite and aerial imagery.

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

deep learning for image processing including classification and object-detection etc.

Gluon CV Toolkit

A curated list of resources focused on Machine Learning in Geospatial Data Science.

Collection of computer vision models, ready to be included in a JVM project

Collections of model quantization algorithms

Sandbox for training deep learning networks

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

Deep Learning sample programs using PyTorch in C++

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

Tensorflow implementation : U-net and FCN with global convolution

Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

A flexible Python front-end inference SDK based on TensorRT

A list of popular deep learning models related to classification, segmentation and detection problems

An extension of Open3D to address 3D Machine Learning tasks

High-level batteries-included neural network training library for Pytorch

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

Reproduce simple cv project including attention module, classification, object detection, segmentation, keypoint detection, tracking 😄 etc.

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

Be Driven 🚘

This repository contains the source code of our work on designing efficient CNNs for computer vision

🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.

The ROS Package of Mask R-CNN for Object Detection and Segmentation

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.

PSPNet in Chainer

Python and OpenCV based object tracking software

X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2

Implementation of "Harmonizing Transferability and Discriminability for Adapting Object Detectors" (CVPR 2020)

FaceBoxes for hand detection in PyTorch

Use the Tensorflow Object Detection API with Tensorflow 2

R package to interface with OpenML

DeepLab-ResNet rebuilt in TensorFlow

MLBox is a powerful Automated Machine Learning python library.

simple rules engine

Non-maximum suppression for object detection in a neural network

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

Tools to Design or Visualize Architecture of Neural Network

segmentation repo using pytorch

To keep updates with VRU Grand Challenge, please use https://github.com/NExTplusplus/VidVRD-helper

A newly built high-resolution dataset for object detection and pedestrian detection (IEEE TIP 2020)

This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.

automatic tagging data, the training data prepare for mask-rcnn

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

Telegram Data Clustering contest solution by Mindful Squirrel