torchio
Super-SloMo
| torchio | Super-SloMo | |
|---|---|---|
| 2 | 1 | |
| 1,957 | 2,965 | |
| - | - | |
| 8.2 | 0.0 | |
| about 11 hours ago | about 1 year ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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torchio
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[P] TorchIO: a Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
Doesn't seem that way, but its being discussed https://github.com/fepegar/torchio/issues/388
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[D] Affine Transform for data boosting?
See the torchio package: https://github.com/fepegar/torchio
Super-SloMo
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Cop records huge crash with his bodycam.
No, this is clearly based on deep training based methods. Traditional algorithms wouldn't have fucked up the text that badly. The artefacts in the video practically scream "i ran this clip thru SuperSloMo".
What are some alternatives?
pytorch-widedeep - A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
AnimeInterp - The code for CVPR21 paper "Deep Animation Video Interpolation in the Wild"
awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments
sminterpolate - Make motion interpolated and fluid slow motion videos from the command line.
TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch - Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)
frame-interpolation - FILM: Frame Interpolation for Large Motion, In ECCV 2022.
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
hivemind - Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
3d-multi-resolution-rcnn - Official PyTorch implementaiton of the paper "3D Instance Segmentation Framework for Cerebral Microbleeds using 3D Multi-Resolution R-CNN."
XVFI - [ICCV 2021, Oral 3%] Official repository of XVFI