All the work is done by Mindpsree research engineer Hamza. Haza's personal Git: https://github.com/ihamzariaz
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Deep learning solution for autonomous vehicle
1.1) Darknet based car detection: https://github.com/ihamzariaz/Research_iNESlab
1.2) Darknet based segmentation: Git project link
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Pill detection and recognition
1.1) For pill detection we'll follow the following link: https://github.com/Lab930boss/Pill
1.2) Complete project including detection and recognition.
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VggNet implementations using Tensorflow and Keras. We conducted different experiments and all the details is present in the following link of github: https://github.com/ihamzariaz/iNES_lab_projects
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Segmentation: We have our own Sementaic segmentation model in Tensorflow. We are currently developing C++ based Segnet for the realtime processing.
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Installation of ubuntu(Linux) operating system as a dual boot. Here you can find the video related to it.
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Installing useful libraries to start machine learning.
2.1) Opencv
https://github.com/Lab930boss/Install-OpenCV
2.2) Tensorflow
https://www.tensorflow.org/install/install_linux
2.3) GPU setup
https://github.com/Lab930boss/DnnSetup
2.4) Keras
https://keras.io/
2.5) Or we can install all the important libraries by installing Anaconda python in your operating system.
https://www.linuxhelp.com/how-to-install-python-anaconda-in-ubuntu-16-04/
2.6) Darknet
https://pjreddie.com/darknet/
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Different Networks, Architectures, Annotation tools, various experimental projects, Datasets etc
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First time CNN introdced in the following paper.
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VGGNet 16 or 19
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R-CNN, Fast R-CNN, faster R-CNN, and Mask R-CNN respectively.
https://arxiv.org/pdf/1311.2524.pdf
https://arxiv.org/pdf/1504.08083.pdf
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YOLO
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Semantic Segmantation (Segnet)