A nice project of colorized video object masking
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Updated
Jul 26, 2019 - Python
A nice project of colorized video object masking
Experiments with Scene Labeling using Recurrent Convolutional Neural Networks on Foraminifera and Unity simulated images for Segmentation task
Pedestrian Detector— using Faster RCNN. This is an application of computer vision, object recognition. We detect people walking on the road and cyclists. Research is also done comparing its performance with different models like YOLO v3.
Deep learning example for Vision
Sentiment Classification exercise with perceptron, feed-forward multilayer net, LSTM RNN, and RCNN!
ORCA: Oceanic Recognition & Classification Application for sea-life analysis systems.
Recurrent Covolutional Neual Network implementation in TF2.0
Adapted Detectron2's Fast r-CNN object detection for automated association of radio galaxy/source components
A project about car detection using RCNN model
Text Classification Models - CNN, RCNN, RNN-ATTN [PyTorch]
Pytorch implementation of Region-Proposal- Network followed by the complete Faster-rcnn architecture
Autorikshaw Detection Challenge (NCVPRIPG-2017). For more projects visit:
Detect 68 points on face live (i-BUG). This is running two neural networks which are very light as it runs on 30% of Intel i7-7700k CPU. Please run liveDetection.py for live detection on face. Model score= loss:5 val_los:6 on 100X100 grayscale image.
Object Detection and Multi-Object Tracking --YOLO DOCUMENTATION
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