CrossBow-Vision's repositories
computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
SLP-cropland-parcel-extraction
cropland-parcel extraction
humble-yolo
A minimal YOLO V1 implementation using Keras
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
ADL
Attention-based Dropout Layer for Weakly Supervised Object Localization (CVPR 2019 Oral)
caer
High-performance Vision library in Python. Scale your research, not boilerplate.
clip-image-search
Search images with a text or image query, using Open AI's pretrained CLIP model.
coral-pytorch
CORAL and CORN implementations for ordinal regression with deep neural networks.
DALL-E
PyTorch package for the discrete VAE used for DALL·E.
deep-ordinal-clm
Ordinal classification with Deep Learning using the CLM
felicette
Satellite imagery for dummies.
field-delineation
Field delineation with Sentinel-2 data from Sentinel-Hub and a ResUnet-a architecture.
flip
Synthetic Image generation with Flip. Generate thousands of new 2D images from a small batch of objects and backgrounds.
hub
A library for transfer learning by reusing parts of TensorFlow models.
image-to-latex
Convert images of LaTex math equations into LaTex code.
keras-io-notes
keras notes
labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
learning_with_signatures
Learning with Signatures
Mask_RCNN
Mask R-CNN modified to run on TensorFlow 2
Mask_RCNN_tf_2.x
It is modified tensorflow 2.x version of mask-rcnn.
object-localization
Object localization in images using simple CNNs and Keras
recommendation
Recommendation System using ML and DL
sentinelsat_filter_example
sentinelsat example to use path filter & chain filter
starfm4py
The STARFM fusion model for Python