syzzmi

COB

Convolutional Oriented Boundaries

refinenet

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

pidinet

Code for the ICCV 2021 paper "Pixel Difference Networks for Efficient Edge Detection" (Oral).

Image-feature-detection-using-Phase-Stretch-Transform

PST or Phase Stretch Transform is an operator that finds features in an image. PST implemented using MATLAB here, takes an intensity image I as its input, and returns a binary image out of the same size as I, with 1's where the function finds sharp transitions in I and 0's elsewhere.

LDC

LDC: Lightweight Dense CNN for Edge Detection

DFF

Code for Dynamic Feature Fusion for Semantic Edge Detection https://arxiv.org/abs/1902.09104

BDCN

The code for the CVPR2019 paper Bi-Directional Cascade Network for Perceptual Edge Detection

DexiNed

DexiNed: Dense EXtreme Inception Network for Edge Detection

CATS

around-dataengineering

A Data Engineering & Machine Learning Knowledge Hub

webcam-streaming

computer-vision

A collection of computer vision projects

face_recognition

The world's simplest facial recognition api for Python and the command line

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

yolov5

ivy

Video-based object counting software.

Car_lane_sign_detection

courses-introduction-to-python

Introduction to Python by Filip Schouwenaars

SwinIR

SwinIR: Image Restoration Using Swin Transformer (official repository)

srez

Image super-resolution through deep learning

VideoSuperResolution

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

super-resolution

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

ESRGAN

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

MAX-Image-Resolution-Enhancer

Upscale an image by a factor of 4, while generating photo-realistic details.

EDSR-PyTorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

HumanFallDetection

Real-time, Multi-person & Multi-camera Fall Detector in Python

play_with_tflite

Sample projects for TensorFlow Lite in C++ with delegates such as GPU, EdgeTPU, XNNPACK, NNAPI

Human-Activity-Recognition

Recognizing human activities using Deep Learning

Real-Time-Action-Recognition

Real-time pose estimation and action recognition

trt_pose

Real-time pose estimation accelerated with NVIDIA TensorRT