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caffe-jacinto

Caffe-jacinto - embedded deep learning framework

caffe-jacinto-models

Repository for storing models and weights generated using caffe-jacinto

centernet

Object detection, 3D detection, and pose estimation using center point detection:

cnnnet

LeNet, AlexNet, VGG, ResNet,Inception

code_studio_python_crack_wifi_password

python3密码字典匹配破解wifi密码

convert2yolo

This project purpose is convert voc annotation xml file to yolo-darknet training file format

cps-ocr-engine

An awesome OCR engine developed by SYSU DeepDriving Lab

darknet

Convolutional Neural Networks

deep-high-resolution-net.pytorch

The project is an official implement of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

dface

Deep learning face detection and recognition, implemented by pytorch. (pytorch实现的人脸检测和人脸识别)

dijkstra

由迪杰斯特拉算法找出所有最短路径并保存

easyquant

EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activations.

edge-ai-platform-tutorials

Tutorials for the Edge AI Platform

evolutionary-algorithm

Evolutionary Algorithm using Python

face-detector-1mb-with-landmark

1M人脸检测模型(含关键点)

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

focal_loss_pytorch

A PyTorch Implementation of Focal Loss.

learnalgorithm

learning-deep-learning

Paper reading notes on Deep Learning and Machine Learning

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

maskrcnn_facebook

ml-suite

Getting Started with Xilinx ML Suite

mobilenet-caffe

Caffe Implementation of Google's MobileNets (v1 and v2)

mobilenet-yolo

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

models

Models and examples built with TensorFlow

object-detection-metrics

Most popular metrics used to evaluate object detection algorithms.

objectdetection-onestagedet

parking_line

pytorch-lmdb

pytorch-ssd

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.