Pinned Repositories
computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
deeplab2
DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.
detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
humble-yolo
A minimal YOLO V1 implementation using Keras
models
Models and examples built with TensorFlow
SLP-cropland-parcel-extraction
cropland-parcel extraction
top-10-cv-papers-2021
A curated list of the top 10 computer vision papers in 2021 with video demos, articles, code and paper reference.
torchgeo
TorchGeo: datasets, transforms, and models for geospatial data
Vision-Transformer-Keras-Tensorflow-Pytorch-Examples
Tensorflow implementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformer
agricultural_satellite_classifier
agricultural_satellite_classifier
CrossBow-Vision's Repositories
CrossBow-Vision/computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
CrossBow-Vision/deeplab2
DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.
CrossBow-Vision/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
CrossBow-Vision/models
Models and examples built with TensorFlow
CrossBow-Vision/SLP-cropland-parcel-extraction
cropland-parcel extraction
CrossBow-Vision/humble-yolo
A minimal YOLO V1 implementation using Keras
CrossBow-Vision/top-10-cv-papers-2021
A curated list of the top 10 computer vision papers in 2021 with video demos, articles, code and paper reference.
CrossBow-Vision/torchgeo
TorchGeo: datasets, transforms, and models for geospatial data
CrossBow-Vision/ADL
Attention-based Dropout Layer for Weakly Supervised Object Localization (CVPR 2019 Oral)
CrossBow-Vision/caer
High-performance Vision library in Python. Scale your research, not boilerplate.
CrossBow-Vision/clip-image-search
Search images with a text or image query, using Open AI's pretrained CLIP model.
CrossBow-Vision/coral-pytorch
CORAL and CORN implementations for ordinal regression with deep neural networks.
CrossBow-Vision/DALL-E
PyTorch package for the discrete VAE used for DALL·E.
CrossBow-Vision/deep-ordinal-clm
Ordinal classification with Deep Learning using the CLM
CrossBow-Vision/felicette
Satellite imagery for dummies.
CrossBow-Vision/field-delineation
Field delineation with Sentinel-2 data from Sentinel-Hub and a ResUnet-a architecture.
CrossBow-Vision/flip
Synthetic Image generation with Flip. Generate thousands of new 2D images from a small batch of objects and backgrounds.
CrossBow-Vision/hub
A library for transfer learning by reusing parts of TensorFlow models.
CrossBow-Vision/image-to-latex
Convert images of LaTex math equations into LaTex code.
CrossBow-Vision/keras-io-notes
keras notes
CrossBow-Vision/labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
CrossBow-Vision/learning_with_signatures
Learning with Signatures
CrossBow-Vision/Mask_RCNN
Mask R-CNN modified to run on TensorFlow 2
CrossBow-Vision/Mask_RCNN_tf_2.x
It is modified tensorflow 2.x version of mask-rcnn.
CrossBow-Vision/object-localization
Object localization in images using simple CNNs and Keras
CrossBow-Vision/pastis-benchmark
CrossBow-Vision/peterroelants.github.io
Blog
CrossBow-Vision/recommendation
Recommendation System using ML and DL
CrossBow-Vision/sentinelsat_filter_example
sentinelsat example to use path filter & chain filter
CrossBow-Vision/starfm4py
The STARFM fusion model for Python