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c-cplusplus

verifile some idea about C/Cplusplus

caffe

Caffe: a fast open framework for deep learning.

clm-framework

CLM-framework (a.k.a Cambridge Face Tracker) is a framework for various Constrained Local Model based face tracking and landmark detection algorithms and their extensions/applications. Includes CLM-Z and CLNF.

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deepstream_360_d_smart_parking_application

Describes the full end to end smart parking application that is available with DeepStream 3.0

espnet

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

eve-o-preview

An EVE client window switcher tool created to aid playing with multiple clients in CCP game EVE Online

gstreamer

GStreamer open-source multimedia framework core library

headpose

Process camera feed for real-time face based pose estimation

headpose-detection

Bounding Box + Landmark + Headpose

kstatemachine

KStateMachine is a Kotlin DSL library for creating state machines and hierarchical state machines (statecharts).

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

lightnet

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

ltp

Linux Test Project (mailing list: https://lists.linux.it/listinfo/ltp)

mobilenet-ssd

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

mobilenet-v2-on-movidius-stick

Translante Mobilenet v2 to Movidius stick.

mobilenetssd-for-face-detetct-on-ncs

NCSDK 1.15

ncappzoo

Contains examples for the Movidius Neural Compute Stick.

openbilibili

openface

OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

selfie_filters_opencv

This Python application can detect Facial Keypoints (15 unique points). They mark important areas of the face - the eyes, corners of the mouth, the nose, etc.

semanticsegmentationusingfpn

tf_trt_models

TensorFlow models accelerated with NVIDIA TensorRT