OpenMMLab Detection Toolbox and Benchmark

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

A Keras implementation of YOLOv3 (Tensorflow backend)

PyQt Examples（PyQt各种测试和例子） PyQt4 PyQt5

Tensorflow prebuilt binary for Windows

Tensorflow Faster RCNN for Object Detection

📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

这是一个YoloV4-pytorch的源码，可以用于训练自己的模型。

Generic U-Net Tensorflow implementation for image segmentation

yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝，通道剪枝，知识蒸馏

通过可直接运行的代码示例讲解 PyQt 5 常用基础控件。附学习资源、demo分享。

Revisiting RCNN: On Awakening the Classification Power of Faster RCNN (ECCV 2018)

Training a convolutional neural network using own picture dataset

Code for satellite image segmentation using Unet or Mask RCNN and comparing these two approaches.

This repo supports Faster R-CNN, FPN and Cascade Faster R-CNN based on pyTorch 1.0. Additionally deformable convolutional layer is also support!

a tensorflow implementation for FPN

faster-rcnn_vgg16_fpn

DenseNet with Faster R-CNN by tf for Windows/Linux