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python_imageabc

A basic trial into computer vision in Python (Followed by PyimageSeach)

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-retinanet

RetinaNet in PyTorch

pytorch-ssd

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.

retinanet

An implementation of RetinaNet in PyTorch.

scet

Self-Calibrated Efficient Transformer for Lightweight Super-Resolution (Official-Deployment)

segmentationlight

seodore

Satellite Image Object Detection for Rotated Objects

simmim

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

single-image-super-resolution

A collection of high-impact and state-of-the-art SR methods

sku110-dense-object-mmdetection

softteacher

srcnn-keras

super-resolution_zoo

The model zoo for Super-resolution in Pytorch

tenet

Official Pytorch Implementation for Trinity of Pixel Enhancement: a Joint Solution for Demosaicing, Denoising and Super-Resolution

tsn-pytorch

Temporal Segment Networks (TSN) in PyTorch

uhdvd

useful_tools

Some of useful tool I design

yet-another-efficientdet-pytorch

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

yet-another-efficientdet-pytorch-convert-onnx-tvm

yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

yolov5-flask-vue

基于Flask开发后端、VUE开发前端框架，在WEB端部署YOLOv5目标检测模型

yolov5-lite

🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 1.7M (int8) and 3.3M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

yolov6

YOLOv6: a single-stage object detection framework dedicated to industrial application.

yyetsbot

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