37 Open source projects that are alternatives of or similar to Iris_Landmarks_PyTorch

MobileNetV2_YOLOV3 for ncnn framework

Iris recognition program according to John Daugman's papers

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, MODNet, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.

📃🎉 Additional datasets for tensorflow.keras

The squeezenet image classification android example

add tensorflow ops to ncnn

C++ Helper Class for Deep Learning Inference Frameworks: TensorFlow Lite, TensorRT, OpenCV, OpenVINO, ncnn, MNN, SNPE, Arm NN, NNabla, ONNX Runtime, LibTorch, TensorFlow

CAIN, Channel Attention Is All You Need for Video Frame Interpolation implemented with ncnn library

Official Dynamic Graph Representation PyTorch implement for iris/face recognition

CT-Net, OpenPose, LIP_JPPNet, DensePose running with ncnn⚡服装迁移/虚拟试穿⚡ClothingTransfer/Virtual-Try-On⚡

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

Daisykit is an easy AI toolkit for software engineers to integrate pretrained AI models and pipelines into their projects. - with NCNN, OpenCV, Python wrappers

A perceptron written in COBOL

ffcnn is a cnn neural network inference framework, written in 600 lines C language.

MaixPy for Linux Python3, let's play with edge AI easier!

🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

移动端实时疲劳驾驶检测

Jetson Nano image with deep learning frameworks

Use PyTorch model in C++ project

PSGAN running with ncnn⚡妆容迁移/仿妆⚡Imitation Makeup/Makeup Transfer⚡

NCNN+Int8+YOLOv4 quantitative modeling and real-time inference

Recognize 2000+ faces on your Jetson Nano with database auto-fill and anti-spoofing

PyTorch Project Specification.

15+ Machine/Deep Learning Projects in Ipython Notebooks

ncnn android benchmark app

Recognize 2000+ faces on your Raspberry Pi 4 with database auto-fill and anti-spoofing

Chineseocr Lite Android Onnx To Ncnn Demo，超轻量级中文OCR Android Demo，支持ncnn推理

An Iris recognition system, implemented in Matlab and Python.

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and …

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

ncnn is a high-performance neural network inference framework optimized for the mobile platform

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥

超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M

💎1MB lightweight face detection model (1MB轻量级人脸检测模型)

Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, SRMD, RealSR, Anime4K, RIFE, CAIN, DAIN, and ACNet.

A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley 2, 2018.