Debesh Jha's Projects
Blog with Keras news, tutorials, and demos.
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
GitHub repository for the Kvasir-Capsule dataset.
GitHub repository for the Kvasir-instrument dataset
Kvasir-SEG: A Segmented Polyp Dataset
NanoNet: Real-Time Polyp Segmentation in Capsule Endoscopy & Colonoscopy [Contains an open-access capsule endoscopy dataset (2021 IEEE CBMS)]
List of labelling tools for computer vision tasks
A public endoscopic video dataset for polyp detection
LightLayers: Parameter Efficient Dense and convolutional Layers for Image Classification (PDCAT-PAAP)
Linux kernel source tree
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Multi Decoder Network for Polyp Segmentation
Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network
Official Tensorflow implementation of "M-LSD: Towards Light-weight and Real-time Line Segment Detection"
Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.
This repository holds the code to the https://multimediaeval.github.io/ website. The `master` branch contains only the `_site` folder built with Jekyll due to the use of a non-whitelisted plugin. To edit content, please go to the `gh-page` branch.
Official implementation of NanoNet: Real-time medical Image segmentation architecture (IEEE CBMS)
Data Augmentation using NumPy
Free datasets for open research, and development
PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).
2021-MICCAI-Progressively Normalized Self-Attention Network for Video Polyp Segmentation
A multi-centre polyp detection and segmentation dataset for generalisability assessment https://www.nature.com/articles/s41597-023-01981-y
PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral)
CT Liver Segmentation Via PVT-based Encoding and Refined Decoding (IEEE ISBI)
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Image Segmentation and Object Detection in Pytorch