tamme Goto Github PK

caffe

Caffe: a fast open framework for deep learning.

caltech-pedestrian-dataset-converter

Download Caltech Pedestrian Dataset and convert them for Python users without using MATLAB

clusteringsegmentation

Point cloud segmentation using radially bounded nearest neighbor clustering

deepspeech

DeepSpeech neon implementation

denet

A simple extendable library for training and evaluating Deep Convolutional Neural Networks focussing on real-time image classification and detection.

dl-docker

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

evalimised13

vaimised veebirakendus 2013

face_verification_experiment

A Lightened CNN for Deep Face Representation

fastestpedestriandetectorinthewest

This is my version of the Fastest Pedestrian Detector in the West

files

gstd-1.x

GStreamer Daemon is a GStreamer framework for controlling audio and video streaming using TCP messages. This version is based on GStreamer 1.x

icnet-tensorflow

An implementation of ICNet (Real-time image segmentation) in tensorflow, containing train/test phase

jalgpallifreimnet

juststuff

lidar_projection

3d lidar point cloud 2d image projection in python.

linefit_ground_segmentation

Ground Segmentation from Lidar Point Clouds

mutationalsignaturesncsut

online_learning

Online learning for human classification in 3D LiDAR-based tracking

orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

pedestrian-detection-at-100fps-very-fast-and-accurate-pedestrian-detector12-.

python-boilerplate

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

synboost

Paper implementation of SynBoost

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > iOS