Alexey Stern AlexeyGy
AlexeyGy
/ restore_date.py
Created
June 3, 2022 20:54
Fix pixel created date in FCPX when importing media.
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| import os | |
| import argparse | |
| import re | |
| from datetime import datetime | |
| import subprocess | |
| parser = argparse.ArgumentParser(description='Restore creation dates') | |
| parser.add_argument('dir', help='Directory to parse for PXL files.') | |
| args = parser.parse_args() |
AlexeyGy
/ change.patch
Created
April 29, 2021 15:43
Allow $maximum magic number in https://wordpress.org/support/plugin/woo-min-max-quantity-limit
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| diff --git a/woo-min-max-quantity.php b/woo-min-max-quantity.php | |
| index f9614ef..c35e2b9 100644 | |
| --- a/woo-min-max-quantity.php | |
| +++ b/woo-min-max-quantity.php | |
| @@ -86,7 +86,7 @@ function _wcmmax_options_page() | |
| <table> | |
| <tr valign="top"> | |
| - <th scope="row"><label for="_wcmmax_options_option_name">Custom alert message for maximum Quantity limit </label></th> | |
| + <th scope="row"><label for="_wcmmax_options_option_name">Custom alert message for maximum Quantity limit. Use $maximum to have the maximum in the text.</label></th> |
AlexeyGy
/ javascript-added.js
Created
December 6, 2020 13:38
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| function take_snapshot() { | |
| Webcam.snap(function (data_uri) { | |
| // snap complete, image data is in 'data_uri' see https://github.com/jhuckaby/webcamjs/blob/master/DOCS.md | |
| Webcam.upload( | |
| data_uri, | |
| "https://raspberrypi:5000/upload", | |
| function (response_code, response_data) { | |
| if (response_code === 200) { | |
| var parsed_response_data = JSON.parse(response_data); | |
| clearCanvas(); |
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| import datetime | |
| import os | |
| from logging import info | |
| from typing import List | |
| import cv2 as cv | |
| import numpy as np | |
| from flask import ( | |
| Flask, | |
| jsonify, |
AlexeyGy
/ test_detecting.py
Created
November 29, 2020 23:37
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| # this script performs a testwise detection of the content of test-images | |
| import unittest | |
| import cv2 as cv | |
| from model import recognize, set_up_inference | |
| NET = None | |
| class TestDetection(unittest.TestCase): |
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| import os | |
| from logging import info | |
| from typing import List | |
| import numpy as np | |
| import cv2 as cv | |
| INPUT_FOLDER = "model/" # where we read the neural network from | |
| # the image size that the neural network is trained to work on. |
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| import os | |
| from logging import info | |
| from typing import List | |
| import numpy as np | |
| import cv2 as cv | |
| INPUT_FOLDER = "model/" # where we read the neural network from | |
| # a pretrained model from OpenVino, see https://docs.openvinotoolkit.org/2018_R5/_docs_Retail_object_detection_pedestrian_rmnet_ssd_0013_caffe_desc_person_detection_retail_0013.html |
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| import os | |
| from logging import info | |
| from typing import List | |
| import numpy as np | |
| import cv2 as cv | |
| INPUT_FOLDER = "model/" # where we read the neural network from | |
| # the image size that the neural network is trained to work on. |
AlexeyGy
/ test_detecting.py
Last active
November 29, 2020 23:50
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| import unittest | |
| import cv2 as cv | |
| from model import recognize, set_up_inference | |
| class TestDetection(unittest.TestCase): | |
| def setUp(self): | |
| self.net = set_up_inference() |
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| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset="utf-8" /> | |
| <title>webcam</title> | |
| </head> | |
| <body> | |
| <script src="webcam.js"></script> | |
| <div> |
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