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Arash Archor's Projects

pytorch-detect-rfcn icon pytorch-detect-rfcn

Pytorch implementation of RFCN used as baseline for Imagenet VID+DET in https://arxiv.org/abs/1710.03958.

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

pytorchcv icon pytorchcv

PyTorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision.

pytracker icon pytracker

Python Object Tracking for Production Deployment

qpu-asm icon qpu-asm

An assembler/disassembler for the QPU processors on the Raspberry Pi

qtcopter icon qtcopter

We built a platform to be used to create autonomous indoor flight capable drones and implemented a system based on computer vision to utilize and demonstrate this platform by performing four tasks, as described by a national contest sponsored by the Pearls of Wisdom voluntary association.

quad-vision-gui icon quad-vision-gui

A Qt Project for detection and tracking from camera feed of the camera on the drone.

quadrotor-environmentalquality icon quadrotor-environmentalquality

The core of this production is the MCU which monitors the operation of the whole system. According to the characteristics of the detection region, the network system was built by controlling the quadrotors. Using a variety of sensors on the quadrotors, temperature and humidity, atmospheric pressure, rainfall, light intensity, UV and atmospheric pollutants such as formaldehyde, smoke, PM2.5 were measured by real-time detection. By the star-topology data transmission that consists of wireless and Bluetooth, the result was presented through the APP of user’s phones.

question-generator icon question-generator

A Python application that generates gap-based questions from text using a logistic regression model.

question_generation icon question_generation

It is a question-generator model. It takes text and an answer as input and outputs a question.

r-cnn-object-detection icon r-cnn-object-detection

Python-caffe simplified implementation of the R-CNN object detection method. I have taken as a starting point the caffe ipython-notebook available at http://nbviewer.ipython.org/github/BVLC/caffe/blob/master/examples/detection.ipynb . The tutorial requires the use of matlab code for calculating selective search bounding boxes. This make it hard to use and slow. Thus, I have implemented bounding boxes proposal with a pythonized BING that I have implemented in another repository. I have also changed the interaction with the script so that the result is a nicer demo.

r-fcn icon r-fcn

R-FCN: Object Detection via Region-based Fully Convolutional Networks

r2cnn_head_fpn_tensorflow icon r2cnn_head_fpn_tensorflow

Position Detection and Direction Prediction for Arbitrary-Oriented Ships via Multiscale Rotation Region Convolutional Neural Network

r3det_tensorflow icon r3det_tensorflow

Code for AAAI 2021 paper: R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

rabbitrabbitrabbit icon rabbitrabbitrabbit

A real-time guestbook apolication. Built with Node.js, MongoDB, Express.js and Socket.io on the server side, and Backbone on the client side.

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