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arminc-autoexec

⚙️ ArminC's configuration (autoexec) for CS:GO - well documented, analysed and no misconceptions.

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-meta-learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

basketball-analytics

ccpd

[ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition

change-background

Change the background of an image using hrnet model

citypersons

bounding box annotations, python evaluation code, and a benchmark for CityPersons

deepctr-torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

detectron2

Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

exercise-count

pose_hrnet_w48_384x288 pretrained on COCO dataset with 17 joints. The model works irrespective of the direction of the camera except for the backside. For PushUps, I used the angle formed by the elbow, for Squats the angle formed by the knees was used and the distance between nose and wrists was considered for chin-ups.

few-shot-learning-basics

first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

flexible-jekyll

Flexible-Jekyll is a simple and clean theme for Jekyll

gans-implementation

hello-world

human-activity-recognition

This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.

mailing-script

Got a long list of email recipients? Let's get that sorted. Just feed your connection details, and your subject list in a CSV format, the content and the daemon triggers the emails automatically.

maskformer

Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)

mediapipeposeestimation

mmocr

OpenMMLab Text Detection, Recognition and Understanding Toolbox

models_implemented

multi-line-plate-pytorch

training code of multi-line-plate-recognition

multi-line-plate-recognition

multi_class_object_counting

neural-network-from-scratch

Neural Network from scratch in python

object-shadow-generation-dataset-desoba

The first dataset on foreground object shadow generation for image composition in real-world scenes. The code used in our paper "Shadow Generation for Composite Image in Real-world Scenes", AAAI2022. Useful for shadow generation, shadow removal, image composition, etc.

object_detection_metrics_calculation

pedestrian_detection

Pedestrian detection using yolov5 on Cityperson dataset