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| def _diff_x(src: Tensor, w: int) -> Tensor: | |
| cum_src = src.cumsum(-2) | |
| left = cum_src[..., w : 2 * w + 1, :] | |
| middle = cum_src[..., 2 * w + 1 :, :] - cum_src[..., : -2 * w - 1, :] | |
| right = cum_src[..., -1:, :] - cum_src[..., -2 * w - 1 : -w - 1, :] | |
| return torch.vstack((left, middle, right)) | |
senyai
/ projective_transform.py
Last active
October 31, 2024 10:48
Projective transform for pytorch that works
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| """ | |
| MIT License | |
| Copyright (c) 2024 Arseniy Terekhin | |
| Copyright (c) 2024 Dmitry Sidorchuk | |
| """ | |
| from __future__ import annotations | |
| from typing import Literal | |
| import torch |
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| // based on https://stackoverflow.com/questions/1997661/unique-object-identifier-in-javascript | |
| const getID = (function() { // FOR DEBUG ONLY. DO NOT COMMIT! | |
| var id = 0; | |
| return function(o: any): number { | |
| if ( typeof o.__uniqueid != "undefined" ) { | |
| return o.__uniqueid; | |
| } | |
| Object.defineProperty(o, "__uniqueid", { |
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| from PIL import Image | |
| import numpy as np | |
| def main(): | |
| arr = np.asarray([[0,0,0],[0,255,0],[0,0,0]], dtype=np.uint8) | |
| img = Image.fromarray(arr) | |
| with open('ITU-R_BT2020(beta).icc', 'rb') as f: | |
| img.info['icc_profile'] = 'f.read()' | |
| img.save('path.png') |
senyai
/ strange-uint32-t-to-float-array-conversion.cod
Created
October 19, 2016 20:59
Assembler code for http://stackoverflow.com/questions/40138067/strange-uint32-t-to-float-array-conversion
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| ; Listing generated by Microsoft (R) Optimizing Compiler Version 19.00.24215.1 | |
| TITLE c:\users\senyai\documents\visual studio 2015\projects\cpp_test_2016\cpp_test_2016\cpp_test_2016.cpp | |
| .686P | |
| .XMM | |
| include listing.inc | |
| .model flat | |
| INCLUDELIB OLDNAMES |