682 Open source projects that are alternatives of or similar to darknet2caffe

AI智能审查，支持色情识别、暴恐识别、语言识别、敏感文字检测和视频检测等功能，以及各种OCR识别能力，如身份证、驾照、行驶证、营业执照、银行卡、手写体、车牌和名片识别等功能，可以访问网站体验功能。

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No description or website provided.

Active Convolution

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

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Incomplete example of free market running on ETH blockchain for educational purposes only

This is an implementation of very deep two stream CNNs for action recognition. The implementation is inspired by Wang et. al., https://github.com/yjxiong/caffe. Some improvements from Wang's implementation include reading videos from LDMB database, faster testing using LDMB interface. The aim is to work better with big dataset such as UCF101, HMDB51, Sports1M and ActivityNet easily.

Etiketai is an online tool designed to label images, useful for training AI models

faster-rcnn c++ python model

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collection of utilities to use with deep learning libraries (e.g. caffe)

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The repository includes Notebook files and documents of the course I completed in NVIDIA Deep Learning Institute. Feel free to acess and work with the Notebooks and other files.

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使用 "Darknet yolov3-tiny" 进行车牌识别

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

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Setup and customize deep learning environment in seconds.

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javascript implementation of "tracker by detections" for realtime multiple object tracking (MOT)

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Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"

Largest list of models for Core ML (for iOS 11+)

XNOR-Net, CUDNN5 supported version of XNOR-Net-caffe: https://github.com/loswensiana/BWN-XNOR-caffe

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

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LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)

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The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

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Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE