CoinCheung's repositories
pytorch-loss
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
DeepLab-v3-plus-cityscapes
mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).
triplet-reid-pytorch
My implementation of the paper [In Defense of the Triplet Loss for Person Re-Identification]
SphereReID
My implementation of paper: SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification
fixmatch-pytorch
90%+ with 40 labels. please see the readme for details.
Deeplab-Large-FOV
My Implementation of the deeplab_v1 (known as deeplab large fov)
AutoAugment_opencv
autoaugment and randomaugment implemented with python opencv(cv2)
ImageNet-Loader
An imagenet dataloader implemented with opencv and pybind11 based on multi-threading
porn_identification
implement image processing with a combination of C and python3 based on socket communication
Segmentatron
My implementation of some segmentation algorithms
CAPTCHA_IND
Identify CAPTCHA basing on CNN implemented by mxnet
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
BPNeuralNetwork
A BP network implemented with C++
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
image-dedup
Codebase I use for deduplication of image datasets
incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Mossaic-Handling
A program that can find the sensitive areas in a picture and add Mossaic to these areas automatically