Document Scanning With TensorFlow And OpenCV

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

multi-object food detection system by DCNN and YOLOv2 strategy, with transferring features and class activation mapping, support mobilenet, mobilenetv2, resnet and darknet.

This is a tool for image and video annotation.

Hed tensorflow implementation

semantic segmentation tensorflow 语义分割

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

Richer Convolutional Features for Edge Detection

code for Holistically-Nested Edge Detection

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

A faster pytorch implementation of faster r-cnn

A tensorflow implementation of object-contour-detection with fully convolutional encoder decoder network

Tensorflow for ContourGAN: Image Contour Detection with Generative Adversarial Encoder-Decoder Networks

Models and examples built with TensorFlow

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

An MXNet implementation of Mask R-CNN

Filmstrip is an OpenCV/Python based set of scripts for extracting keyframes from video.

🎥 Python and OpenCV-based scene cut/transition detection program & library.

an implementation of holistically nested edge detection using TensorFlow

The implementation of hed using pytorch.

Holistically-Nested Edge Detection in Keras

Hierarchical Encoder Decoder RNN (HRED) with Truncated Backpropagation Through Time (Truncated BPTT)