hardik0

hardik0

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Deep-Learning-with-GoogleColab

Deep Learning Applications (Darknet - YOLOv3, YOLOv4 | DeOldify - Image Colorization, Video Colorization | Face-Recognition) with Google Colaboratory - on the free Tesla K80/Tesla T4/Tesla P100 GPU - using Keras, Tensorflow and PyTorch.

Language:Jupyter NotebookStargazers:75Issues:4Issues:5

Multi-Object-Tracking-Google-Colab

Collection of papers, code, notebooks, datasets and other resources for Multi Object Tracking (Vehicle tracking, Pedestrian tracking) | Google colab

Language:Jupyter NotebookStargazers:75Issues:1Issues:3

AI-for-Medicine-Specialization

AI for Medicine Specialization by deeplearning.ai

Language:Jupyter NotebookStargazers:14Issues:1Issues:1

AI-basketball-analysis-on-google-colab

:basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose on google colab

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:11Issues:0Issues:0

COVID-19-SOP-Violation-Detection

COVID-19 SOP Violation Detection Computer Vision based Application | Face Mask Detection | Social Distancing

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DEFT

Joint detection and tracking model named DEFT, or ``Detection Embeddings for Tracking." Our approach relies on an appearance-based object matching network jointly-learned with an underlying object detection network. An LSTM is also added to capture motion constraints.

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Towards-Realtime-MOT

Joint Detection and Embedding for fast multi-object tracking

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yolov4-deepsort

Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

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