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insmod-he's Projects

2018aicity_teamuw icon 2018aicity_teamuw

Source code from the winning team in Track 1 and Track 3 at the AI City Challenge Workshop in CVPR 2018.

algorithms icon algorithms

Bug-tracking for Jeff's algorithms book, notes, etc.

bamot icon bamot

Bundle Adjustment for Multiple Object Tracking

caffe icon caffe

Caffe on both Linux and Windows

caffe-model icon caffe-model

Caffe models (imagenet pretrain) and prototxt generator scripts for inception_v3 \ inception_v4 \ inception_resnet \ fractalnet \ resnext

caffe-model-1 icon caffe-model-1

Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks

cam_lidar_calib icon cam_lidar_calib

3D-Lidar Camera Calibration using planar Point to to camera Plane Constraint

coco icon coco

MS COCO API - http://mscoco.org/

cube_slam icon cube_slam

CubeSLAM: Monocular 3D Object Detection and SLAM

datastructures icon datastructures

A Literate Program about Data Structures and Object-Oriented Programming

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron.pytorch icon detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

face2face-demo icon face2face-demo

pix2pix demo that learns from facial landmarks and translates this into a face

faceswap icon faceswap

Non official project based on original /r/Deepfakes thread. Many thanks to him!

fpn icon fpn

Feature Pyramid Networks for Object Detection on caffe

fucking-algorithm icon fucking-algorithm

手把手撕LeetCode题目,扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

ghm_detection icon ghm_detection

The implementation of “Gradient Harmonized Single-stage Detector” published on AAAI 2019.

imgaug icon imgaug

Image augmentation for machine learning experiments.

inplace_abn icon inplace_abn

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

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