gojila1029,github

3d-boundingbox

PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry

aanet

AANet: Adaptive Aggregation Network for Efficient Stereo Matching, CVPR 2020

ai-

awesome-human-motion

🏃‍♀️ A curated list about human motion capture, analysis and synthesis.

cam2bev

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

color-classification-cnn

color recognition (convolutional neural network implemented in Keras)

color_recognition

:art: Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.

complex-yolov4-pytorch

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

computer-vision-basics-with-python-keras-and-opencv

Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.

computervision

computervision-1

cvkit

Computer Vision Toolkit. cvkit is available for Linux as well as for Windows. It offers useful tools for viewing and analyzing images and 3d models.

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deeplearning-models

A collection of various deep learning architectures, models, and tips

densedepth

High Quality Monocular Depth Estimation via Transfer Learning

diffgram

Complete training data platform for machine learning delivered as a single application.

gan-tensorflow

An implementation of GAN using TensorFlow

gdl_code

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

goodbyedpi

GoodbyeDPI—Passive Deep Packet Inspection blocker and Active DPI circumvention utility (for Windows)

google-images-download

Google/Bing Images Web Downloader

hydranet

A multibranch neural net architecture. (PyTorch)

idt

Image Dataset Tool (idt) is a cli tool designed to make the otherwise repetitive and slow task of creating image datasets into a fast and intuitive process.