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deep-learning-illustrated

Deep Learning Illustrated (2020)

facemask_twitter

fassd-net

FASSD-Net: Fast and Accurate Semantic Segmentation with Dilated Asymmetric Convolutions

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

giblab_test

## Test to show git functions

gui

gui_ipn

insightface

State-of-the-art 2D and 3D Face Analysis Project

ipn-hand

Code and models of our arXiv paper "IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand Gesture Recognition"

material-translation

The field of Neural Style Transfer (NST) has led to interesting applications that enable to transform the reality as human beings perceive. Particularly, NST for material translation aims to change the material of an object (content) to the target material from a different image (style). Since the style comes from an object of the target material, the synthesized image quality totally depends on the chosen image. Therefore, we propose a material translation method based on NST with an automatic style image retrieval. The proposed CNN-feature-based image retrieval aims to find the ideal style that better translates the material of an object. An ideal style image must share semantic information with the content object, while containing distinctive characteristics of the desired material. Thus, we refine the search by selecting the most discriminative images from the target material, while focusing on the object semantics by removing its style information. To translate materials to object regions, we combine a real-time material segmentation method with NST. In this way, the material of the retrieved style image is transferred to the segmented areas only. We evaluate our proposal with different state-of-the-art NST methods, including conventional and recently proposed approaches. Furthermore, with a human perceptual study applied to 100 participants, we demonstrate that synthesized images of stone, wood, and metal can be perceived as real, even over legit photographs from such materials.

pytorch-adain

Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

pytorch-enet

PyTorch implementation of ENet

pytorch-hardnet

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

real-time-gesrec

Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture and Jester

rt_hand_segment

Real-time hand segmentation

ssds.pytorch

Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.

tfm_dataset

TFM a Dataset for Detection and Recognition of Masked Faces in the Wild

tsm_segmentation

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding