An open source library for face detection in images. The face detection speed can reach 1000FPS.
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Updated
Oct 11, 2024 - C++
An open source library for face detection in images. The face detection speed can reach 1000FPS.
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
Tengine is a lite, high performance, modular inference engine for embedded device
A high performance anime upscaler
Deep Learning Based Free Mobile Real-Time Face Landmark Detector. Contact:jack-yu-business@foxmail.com
Deformable Convolutional Networks v2 with Pytorch
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Code for our CVPR 2019 paper: Selective Kernel Networks; See zhihu:https://zhuanlan.zhihu.com/p/59690223
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
Optimized (for size and speed) Caffe lib for iOS and Android with out-of-the-box demo APP.
FPGA Accelerator for CNN using Vivado HLS
C++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks. The most popular frameworks: caffe/mxnet/tensorflow, are all suppported now
Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.
A very fast neural network computing framework optimized for mobile platforms.QQ group: 676883532 【验证信息输:绝影】
DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021
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