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am_fm

assemblylanguage

beyond

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

covid-people-graph

Gihan Jayatilaka*, Jameel Hassan*, Suren Sritharan*, Janith Senananayaka, Harshana Weligampola, et. al., 2021. Holistic Interpretation of Public Scenes Using Computer Vision and Temporal Graphs to Identify Social Distancing Violations. arXiv preprint. https://arxiv.org/pdf/2112.06428.pdf

cv_assignments

detectron2-deepsort-pytorch

MOT tracking using deepsort and yolov3 with pytorch

everypixelmatters

Implementation of ECCV 2020 paper "Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector"

global-horizontal-irradiance-modeling-from-sky-images-using-resnet-architectures

intro-to-dl

Resources for "Introduction to Deep Learning" course.

kpts_with_person_tracking

YOLOv7 pose estimation with SORT person tracking

lightweight-human-pose-estimation.pytorch

Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

machinelearningfundamentals

mmpose

OpenMMLab Pose Estimation Toolbox and Benchmark.

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

optimization

paddlesports

pyskl

A toolbox for skeleton-based action recognition.

pytorch-intro

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

simpac-2022-40

simple-hrnet

Multi-person Human Pose Estimation with HRNet in Pytorch

single-multiple-custom-object-detection-and-tracking

smartsolartracker

Designed a solar panel system which tracks the sun in a single axis. A PIC16F877A programmed using Assembly language was used. Assembly language, PIC

st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

stan

Official PyTorch implementation of the paper "Revisiting Temporal Modeling for CLIP-based Image-to-Video Knowledge Transferring"

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

tf-pose-estimation

Hey! This is a clone of the tf-pose-estimation by Ildoo Kim modified to work with Tensorflow 2.0+!

video-llava

PG-Video-LLaVA: Pixel Grounding in Large Multimodal Video Models

vifi-clip

[CVPR 2023] Official repository of paper titled "Fine-tuned CLIP models are efficient video learners".