Achal Dave's repositories
predictive-corrective
Code for "Predictive-Corrective Networks for Action Detection"
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
segment-any-moving_detectron
Detectron.pytorch fork used for "Towards Segmenting Anything That Moves" code
average-precision
Average precision in various languages
thumos-util
Utilities for working with THUMOS
davis16-python3
Package containing helper functions for loading and evaluating DAVIS
Detectron.pytorch
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
fbms-evaluation
Some fixes to Freiburg Berkeley Motion Segmentation evaluation code
actions-for-actions
Diagnostic tools and additional visualizations from "What Actions are Needed for Understanding Human Actions in Videos?" ICCV 2017
DaSiamRPN
Distractor-aware Siamese Networks for Visual Object Tracking (ECCV2018)
Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
download_google_drive
Download files from Google Drive using Python 2 or Python 3
h5py
HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.
ImageNetV2
A new test set for ImageNet
img_classification_pk_pytorch
Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)
lua---csv
A package to read and write CSV. Provides high-level database-like handlers.
ptpython
A better Python REPL
pystruct
Simple structured learning framework for python
python-prompt-toolkit
Library for building powerful interactive command line applications in Python
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
shotdetection
Code to perform shot detection and extraction on video
shrink-path.zsh
Fork of oh-my-zsh shrink-path plugin
UniCycle
Unicode character cycler
vision
Datasets, Transforms and Models specific to Computer Vision