Computational Optical Imaging - MICRO-421

Computational Optical Imaging is taught by Demetri Psaltis. The teaching assistant are Ilker Oguz, Ulas Dinc and Felix Wechsler For official information see the course Moodle.

This repository just provides the source code for the homework.

Installation of packages

For example, download Anaconda as a Python package manager. (There is many alternatives, just go for one which you prefer.)

In your Python environment, install at least the following packages:

pip install numpy matplotlib scipy notebook ipywidgets imageio

Later, we also need the following packages for PyTorch:

pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cu118

Alternatives

You can also the free service Google Colab. Colab also provides limited amount of GPU usage which is useful for deep learning tasks as GPUs are much faster than CPUs for training neural networks.

Name		Name	Last commit message	Last commit date
Latest commit History 87 Commits
.gitignore		.gitignore
01_unknown.npy		01_unknown.npy
CW_01.ipynb		CW_01.ipynb
CW_01_solution.ipynb		CW_01_solution.ipynb
CW_02_part1.ipynb		CW_02_part1.ipynb
CW_02_part1_solution.ipynb		CW_02_part1_solution.ipynb
CW_02_part2.ipynb		CW_02_part2.ipynb
CW_02_part2_solution.ipynb		CW_02_part2_solution.ipynb
CW_03_part1.ipynb		CW_03_part1.ipynb
CW_03_part1_solution.ipynb		CW_03_part1_solution.ipynb
CW_03_part2.ipynb		CW_03_part2.ipynb
CW_04_part1.ipynb		CW_04_part1.ipynb
CW_04_part1_solution.ipynb		CW_04_part1_solution.ipynb
CW_04_part2.ipynb		CW_04_part2.ipynb
CW_04_part2_solution.ipynb		CW_04_part2_solution.ipynb
CW_05_part1.ipynb		CW_05_part1.ipynb
CW_05_part1_solution.ipynb		CW_05_part1_solution.ipynb
CW_05_part2.ipynb		CW_05_part2.ipynb
CW_05_part2_solution.ipynb		CW_05_part2_solution.ipynb
CW_06_part1.ipynb		CW_06_part1.ipynb
CW_06_part1_solution.ipynb		CW_06_part1_solution.ipynb
CW_06_part2.ipynb		CW_06_part2.ipynb
CW_06_part2_solution.ipynb		CW_06_part2_solution.ipynb
CW_07_part1.ipynb		CW_07_part1.ipynb
CW_07_part1_solution.ipynb		CW_07_part1_solution.ipynb
CW_07_part2.pdf		CW_07_part2.pdf
CW_07_part2_solution.ipynb		CW_07_part2_solution.ipynb
CW_08_part1.ipynb		CW_08_part1.ipynb
CW_08_part1_solution.ipynb		CW_08_part1_solution.ipynb
CW_08_part2.ipynb		CW_08_part2.ipynb
CW_08_part2_solution.ipynb		CW_08_part2_solution.ipynb
CW_09_diffusor.npy		CW_09_diffusor.npy
CW_09_part1.ipynb		CW_09_part1.ipynb
CW_09_part1_solution.ipynb		CW_09_part1_solution.ipynb
CW_09_part2.ipynb		CW_09_part2.ipynb
CW_09_part2_solution.ipynb		CW_09_part2_solution.ipynb
CW_09_unknown.npy		CW_09_unknown.npy
CW_10_part1.ipynb		CW_10_part1.ipynb
CW_10_part1_solution.ipynb		CW_10_part1_solution.ipynb
CW_10_part2.ipynb		CW_10_part2.ipynb
CW_10_part2_solution.ipynb		CW_10_part2_solution.ipynb
CW_11_part1.ipynb		CW_11_part1.ipynb
CW_11_part1_solution.ipynb		CW_11_part1_solution.ipynb
CW_11_part2.ipynb		CW_11_part2.ipynb
CW_11_part2_solution.ipynb		CW_11_part2_solution.ipynb
EX_01.ipynb		EX_01.ipynb
EX_02.ipynb		EX_02.ipynb
EX_03.ipynb		EX_03.ipynb
GX_01.ipynb		GX_01.ipynb
GX_01_solution.ipynb		GX_01_solution.ipynb
GX_02.ipynb		GX_02.ipynb
GX_02_solution.ipynb		GX_02_solution.ipynb
GX_03.ipynb		GX_03.ipynb
GX_03_solution.ipynb		GX_03_solution.ipynb
GX_04.ipynb		GX_04.ipynb
GX_04_solution.ipynb		GX_04_solution.ipynb
GX_05.ipynb		GX_05.ipynb
GX_05_solution.ipynb		GX_05_solution.ipynb
GX_06.ipynb		GX_06.ipynb
GX_06_solution.ipynb		GX_06_solution.ipynb
GX_07.ipynb		GX_07.ipynb
GX_07_solution.ipynb		GX_07_solution.ipynb
GX_08.ipynb		GX_08.ipynb
GX_08_solution.ipynb		GX_08_solution.ipynb
GX_09.ipynb		GX_09.ipynb
GX_09_solution.ipynb		GX_09_solution.ipynb
GX_10.ipynb		GX_10.ipynb
GX_10_solution.ipynb		GX_10_solution.ipynb
GX_11.ipynb		GX_11.ipynb
GX_11_solution.ipynb		GX_11_solution.ipynb
LICENSE		LICENSE
README.md		README.md
U-net_defocus.pt		U-net_defocus.pt
U_out_A.pt		U_out_A.pt
U_out_B.pt		U_out_B.pt
cells_example.npy		cells_example.npy
field_1000.npy		field_1000.npy
field_propagated.npy		field_propagated.npy
gs_target1.npy		gs_target1.npy
gs_target2.npy		gs_target2.npy
psaltis_face.npy		psaltis_face.npy
random_media.npy		random_media.npy
t_mid_A.pt		t_mid_A.pt
t_mid_B.pt		t_mid_B.pt
unknown_GX_04.npy		unknown_GX_04.npy
usaf.npy		usaf.npy

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