This repository contains tutorials for the py4DSTEM Python package

Overview
Comments
  • Binder dev

    Binder dev

    • Binder link created, currently lands in Index.ipynb
    • data loaded as part of the notebooks, running all cells on notebooks inside binder will work.
    • Added file_getter.py which takes command-line arguments, which makes extending the download to more notebooks fairly straightforward.
    • Both notebooks work, make_probe_templates.ipynb required adding some clean-up steps to avoid going over 2GB ram limit, the alternative is to split them into more separate notebooks.
    • There's a slight issue that if people don't shutdown notebooks properly or if they have multiple notebooks over, they may cause kernel panics, both notebooks peak memory usage push the 2GB limit .
    • I haven't given much attention to style or formatting currently just wanted to get something functional and working to see if works as required.
    opened by alex-rakowski 1
  • SSB tutorial notebooks with new dataset

    SSB tutorial notebooks with new dataset

    These are two new tutorial notebooks I updated. One is for single-run reconstruction, the other is for interactive mode with ipywidgets and matplotlib visualization.

    opened by PhilippPelz 0
  • Binder dev

    Binder dev

    • Binder link created, currently lands in Index.ipynb
    • data loaded as part of the notebooks, running all cells on notebooks inside binder will work.
    • Added file_getter.py which takes command-line arguments, which makes extending the download to more notebooks fairly straightforward.
    • Both notebooks work, make_probe_templates.ipynb required adding some clean-up steps to avoid going over 2GB ram limit, the alternative is to split them into more separate notebooks.
    • There's a slight issue that if people don't shutdown notebooks properly or if they have multiple notebooks over, they may cause kernel panics, both notebooks peak memory usage push the 2GB limit .
    • I haven't given much attention to style or formatting currently just wanted to get something functional and working to see if works as required.
    opened by alex-rakowski 0
  • Add simulations for dynamical scattering

    Add simulations for dynamical scattering

    I found that there is almost no proper documentation for the dynamical scattering simulation in py4DSTEM unless you read the source code (actually I couldn't find the documentation for the whole diffraction module). So I created a tutorial using NaCl as an example. Hope I have done it right.

    opened by Taimin 0
  • py4DSTEM.process.virtualimage.get_virtualimage_circ (strain mapping tutorial)

    py4DSTEM.process.virtualimage.get_virtualimage_circ (strain mapping tutorial)

    in the strain mapping tutorial, this step doesn't work !

    [12]

    Next, create a BF virtual detector using the the center beam position (qxy0, qy0)

    We will expand the BF radius slightly (+ 2 px).

    The DF virtual detector can be set to all remaining pixels.

    expand_BF = 2.0 image_BF = py4DSTEM.process.virtualimage.get_virtualimage_circ( dataset, qx0, qy0, probe_semiangle + expand_BF) image_DF = py4DSTEM.process.virtualimage.get_virtualimage_ann( dataset, qx0, qy0, probe_semiangle + expand_BF, 1e3)

    [return]

    AttributeError Traceback (most recent call last) Input In [168], in <cell line: 5>() 1 # Next, create a BF virtual detector using the the center beam position (qxy0, qy0) 2 # We will expand the BF radius slightly (+ 2 px). 3 # The DF virtual detector can be set to all remaining pixels. 4 expand_BF = 2.0 ----> 5 image_BF = py4DSTEM.process.get_virtualimage_circ( 6 dataset, 7 qx0, qy0, 8 probe_semiangle + expand_BF) 9 image_DF = py4DSTEM.process.virtualimage.get_virtualimage_ann( 10 dataset, 11 qx0, qy0, 12 probe_semiangle + expand_BF, 13 1e3)

    AttributeError: module 'py4DSTEM.process' has no attribute 'get_virtualimage_circ'

    Any tips to fix that ?

    py4DSTEM.process.virtualimage.virtualimage.get_virtualimage_circ or py4DSTEM.process.virtualimage.get_virtualimage_circ ?

    opened by lylofu 0
  • ACOM_03_Au_NP_sim.ipynb bugs

    ACOM_03_Au_NP_sim.ipynb bugs

    Running the ACOM_03 notebook as downloaded, cell 25 gives the following error:

    ---------------------------------------------------------------------------
    NameError                                 Traceback (most recent call last)
    /var/folders/ts/tq6v7mks7hvg37ys5zvs1c2w0000gn/T/ipykernel_3012/3733081456.py in <module>
         14 
         15 # Fit an ellipse to the elliptically corrected bvm
    ---> 16 qx0_corr,qy0_corr,a_corr,e_corr,theta_corr = py4DSTEM.process.calibration.fit_ellipse_1D(bvm_ellipsecorr,(qx0,qy0),(qmin,qmax))
         17 
         18 py4DSTEM.visualize.show_elliptical_fit(
    
    NameError: name 'qmin' is not defined
    

    I think someone changed qmin, qmax to be a list called qrange and never actually tested the notebook in a fresh state.

    opened by sezelt 0
  • AttributeError: module 'py4DSTEM.process' has no attribute 'diffraction'

    AttributeError: module 'py4DSTEM.process' has no attribute 'diffraction'

    When I run the "ACOM Tutorial Notebook 01", it gives a following error message.

    AttributeError: module 'py4DSTEM.process' has no attribute 'diffraction'

    version python 3.8.0 py4DSTEM 0.12.6 pywin32 302

    error

    opened by nomurayuki0503 0
Releases(v0.13.8-alpha)
Demystifying How Self-Supervised Features Improve Training from Noisy Labels

Demystifying How Self-Supervised Features Improve Training from Noisy Labels This code is a PyTorch implementation of the paper "[Demystifying How Sel

<a href=[email protected]"> 4 Oct 14, 2022
🔥 Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization 🔥

🔥 Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization 🔥

Rishik Mourya 48 Dec 20, 2022
Code repository for our paper regarding the L3D dataset.

The Large Labelled Logo Dataset (L3D): A Multipurpose and Hand-Labelled Continuously Growing Dataset Website: https://lhf-labs.github.io/tm-dataset Da

LHF Labs 9 Dec 14, 2022
Bringing Characters to Life with Computer Brains in Unity

AI4Animation: Deep Learning for Character Control This project explores the opportunities of deep learning for character animation and control as part

Sebastian Starke 5.5k Jan 04, 2023
Implementation of Memory-Efficient Neural Networks with Multi-Level Generation, ICCV 2021

Memory-Efficient Multi-Level In-Situ Generation (MLG) By Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen and David Z. Pan

Jiaqi Gu 2 Jan 04, 2022
Atif Hassan 103 Dec 14, 2022
A collection of Google research projects related to Federated Learning and Federated Analytics.

Federated Research Federated Research is a collection of research projects related to Federated Learning and Federated Analytics. Federated learning i

Google Research 483 Jan 05, 2023
Extracts data from the database for a graph-node and stores it in parquet files

subgraph-extractor Extracts data from the database for a graph-node and stores it in parquet files Installation For developing, it's recommended to us

Cardstack 0 Jan 10, 2022
Unofficial PyTorch Implementation of AHDRNet (CVPR 2019)

AHDRNet-PyTorch This is the PyTorch implementation of Attention-guided Network for Ghost-free High Dynamic Range Imaging (CVPR 2019). The official cod

Yutong Zhang 4 Sep 08, 2022
A Pytorch Implementation for Compact Bilinear Pooling.

CompactBilinearPooling-Pytorch A Pytorch Implementation for Compact Bilinear Pooling. Adapted from tensorflow_compact_bilinear_pooling Prerequisites I

169 Dec 23, 2022
Posterior predictive distributions quantify uncertainties ignored by point estimates.

Posterior predictive distributions quantify uncertainties ignored by point estimates.

DeepMind 177 Dec 06, 2022
A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......

A Light and Fast Face Detector for Edge Devices Big News: LFD, which is a big update of LFFD, now is released (2021.03.09). It is strongly recommended

YonghaoHe 1.3k Dec 25, 2022
AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

AttentionGAN-v2 for Unpaired Image-to-Image Translation AttentionGAN-v2 Framework The proposed generator learns both foreground and background attenti

Hao Tang 530 Dec 27, 2022
[ICLR 2022] DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR

DAB-DETR This is the official pytorch implementation of our ICLR 2022 paper DAB-DETR. Authors: Shilong Liu, Feng Li, Hao Zhang, Xiao Yang, Xianbiao Qi

336 Dec 25, 2022
MQBench: Towards Reproducible and Deployable Model Quantization Benchmark

MQBench: Towards Reproducible and Deployable Model Quantization Benchmark We propose a benchmark to evaluate different quantization algorithms on vari

494 Dec 29, 2022
Tooling for GANs in TensorFlow

TensorFlow-GAN (TF-GAN) TF-GAN is a lightweight library for training and evaluating Generative Adversarial Networks (GANs). Can be installed with pip

803 Dec 24, 2022
This is a Python wrapper for TA-LIB based on Cython instead of SWIG.

TA-Lib This is a Python wrapper for TA-LIB based on Cython instead of SWIG. From the homepage: TA-Lib is widely used by trading software developers re

John Benediktsson 7.3k Jan 03, 2023
Code for the preprint "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

This is a repository for the paper of "Well-classified Examples are Underestimated in Classification with Deep Neural Networks" The implementation and

LancoPKU 25 Dec 11, 2022
POT : Python Optimal Transport

POT: Python Optimal Transport This open source Python library provide several solvers for optimization problems related to Optimal Transport for signa

Python Optimal Transport 1.7k Dec 31, 2022
Image transformations designed for Scene Text Recognition (STR) data augmentation. Published at ICCV 2021 Workshop on Interactive Labeling and Data Augmentation for Vision.

Data Augmentation for Scene Text Recognition (ICCV 2021 Workshop) (Pronounced as "strog") Paper Arxiv Why it matters? Scene Text Recognition (STR) req

Rowel Atienza 152 Dec 28, 2022