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appearance-flow-tensorflow

awesome-edge-detection-papers

:books: A collection of edge/contour/boundary detection papers and toolbox.

deepblending

Neural network code for Deep Blending for Free-Viewpoint Image-Based Rendering (SIGGRAPH Asia 2018)

deeplabv3plus-pytorch

Here is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.

deepnude-an-image-to-image-technology

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用GAN图像生成的理论与实践研究。

deepnude_official

eos

A lightweight 3D Morphable Face Model fitting library in modern C++14

expression-net

Deep 3DMM facial expression parameter extraction

face-parsing.pytorch

Using modified BiSeNet for face parsing in PyTorch

face3d

Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.

faceid-gan

this is a re-implementation of CVPR2018 paper "FaceID-GAN"

faceswap-deepfake-pytorch

Faceswap with Pytorch or DeepFake with Pytorch

faceswap-gan

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

high-resolution-remote-sensing-semantic-segmentation-pytorch

PyTorch实现高分遥感语义分割（地物分类）

jl-dcf-pytorch

Code of JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection(CVPR2020)

look_at_boundary_pytorch

A PyTorch re-implement of CVPR 2018 LAB(Look At Bounday) --Champagne Jin

map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

mbnet

Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems (ECCV 2020)

nsfw_data_scraper

Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-inpainting-with-partial-conv

Unofficial pytorch implementation of 'Image Inpainting for Irregular Holes Using Partial Convolutions' [Liu+, ECCV2018]

pytorch-retinanet

Pytorch implementation of RetinaNet object detection.

secondkiller

淘宝秒杀脚本

sma-net

Pedestrian detection is of great significance due to its wide application in various fields. RGB-T based pedestrian detection has received more extensive attention due to the provided detailed information and thermal sensitivity of pedestrians. However, the existing RGB-T based methods focus on the fused features, while ignoring the robustness and superiority of the extracted features from each single modality. In this paper, a single-modal feature augment network (SMA-Net) is proposed to enhance the features extracted from each branch before feature fusion. Firstly, two single-modal branches are trained separately to optimize the feature extraction of each branch in addition to the training of pedestrian detection based on fused features. To further enhance the single-modal features, fake feature maps generated by random noise are used to combine with the RBG or thermal feature maps. Secondly, a lightweight ROI pooling multiscale fusion module (PMSF) is proposed to obtain more fine-grained and abundant features, in which pooling features of different scales are integrated by adaptively weighting. Finally, a generative constraint strategy is designed to constrain fusion by minimizing the loss function between the generated fusion image and RGB-T pairs. Experimental results on the challenging KAIST multispectral pedestrian dataset demonstrate that the proposed SMA-Net outperforms the state-of-the-art methods in terms of accuracy and computational efficiency.

yolov4-pytorch

这是一个YoloV4-pytorch的源码，可以用于训练自己的模型。