IOEvan

@IOEvan

IOEvan no introduction.

All Personal Contributions
Forks Pause/Closed

    IOEvan / mmdetection-to-tensorrt

    convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.

    IOEvan / OptimumNotchFilter

    Homework for digital image processing class.

    IOEvan / Notch-Filter-for-Image-Processing

    Implemented Ideal, ButterWorth and Gaussian Notch Filter for Image processing in python (with GUI).

    IOEvan / person-reid-triplet-loss-baseline

    Rank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch

    IOEvan / Ultra-Fast-Lane-Detection

    Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

    IOEvan / P300-Speller-Using-CNN

    IOEvan / detectron2

    Detectron2 is FAIR's next-generation platform for object detection and segmentation.

    IOEvan / AdelaiDet

    AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

    IOEvan / EasyOCR

    Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai

    IOEvan / CHINESE-OCR

    [python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

    IOEvan / DANet

    Dual Attention Network for Scene Segmentation (CVPR2019)

    IOEvan / PolarMask

    Code for 'PolarMask: Single Shot Instance Segmentation with Polar Representation'

    IOEvan / vision

    Datasets, Transforms and Models specific to Computer Vision

    IOEvan / Yolact_fcos

    YOLACT: Real-time Instance Segmentation on the FCOS detector (without bbox cropping), achives 35.2mAP on coco val

    IOEvan / Stronger-yolo-pytorch

    IOEvan / pytorch-handbook

    pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行

    IOEvan / OpenCV_SFM

    OpenCV实现SfM

    IOEvan / Vanish-Point-Detection

    Vanish point detect from single image

    IOEvan / faster-rcnn.pytorch

    A faster pytorch implementation of faster r-cnn

    IOEvan / awesome-semantic-segmentation

    :metal: awesome-semantic-segmentation

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