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Octobrist 894f01a55e | 2 years ago | |
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ReadME.txt | 2 years ago | |
generate_synthetic_int.py | 2 years ago | |
generate_synthetic_noise.py | 2 years ago | |
genrand_synth_displacements.py | 2 years ago | |
genrand_synth_displacements_smol.py | 2 years ago |
Main File: generate_synthetic_int.py
Dependencies:
-numpy
-cv2
-PIL
-multiprocessing
-math
-h5py
-scipy
-skimage
To Run:
-Choose large or small displacements
-Edit line 8 genrand_synth_displacements(_smol)
-Choose output folder
-Edit lines 48-58 with folder location
-Folder structure should be Main --> train/val/test --> ndata/ndata_wrap --> data/noise/orig --> filename
-You only have to edit the Main section to be the folder name you want
-Choose number of samples
-Edit the range function in line 75 to do this.
-Choose to output data to training or validation datasets
-Edit line 76 [(proc,'train')] or [(proc,'val')]
-If you only want to make 1 and plot it comment out lines 75-80 and uncomment the remainder
This is an analysis about the evolution of DL model based on the community data of Github. The application scenario of all models is the analysis of synthetic aperture images.
CSV Python Text SVG
MIT
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