GMU:Procedural Cut/Assignment Object Recognition - Revision history

Max: /* Auto_detecting_words_in_srt */

2019-12-01T22:59:55Z

Auto_detecting_words_in_srt

← Older revision		Revision as of 22:59, 1 December 2019
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	* [https://github.com/cloud-annotations/training cloud annotations]		* [https://github.com/cloud-annotations/training cloud annotations]
	* [[Tracking Motion Detection]] this page is very much outdated since machine learning has become a thing		* [[Tracking Motion Detection]] this page is very much outdated since machine learning has become a thing


	~~=== Auto_detecting_words_in_srt ===~~
	~~[[File:guichu.txt]]~~

	~~Copy the txt file to a empty .py file :D (.py file can't be uploaded, I wonder why @_@)~~
	~~#library srt link: https://github.com/cdown/srt~~
	~~#pip install -U srt~~
	~~#copy paste srt file as in the code (focus on the format at head and tail)~~
	~~#it returns a sequence of subtitle classes object, contains index,time, content, etc.~~
	~~#using for loop searching desired word in every object.content.~~
	~~#it returns the time interval at the start and the end~~
	~~#use srt.timedelta_to_srt_timestamp convert the time to normal one~~

2019-11-28T22:14:37Z

Auto_detecting_words_in_srt

← Older revision		Revision as of 22:14, 28 November 2019
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	[[File:guichu.txt]]		[[File:guichu.txt]]

	Copy the txt file to a empty .py file :) (.py file can't be uploaded, I wonder why @_@)		Copy the txt file to a empty .py file :D (.py file can't be uploaded, I wonder why @_@)
	#library srt link: https://github.com/cdown/srt		#library srt link: https://github.com/cdown/srt
	#pip install -U srt		#pip install -U srt

2019-11-28T22:14:12Z

Auto_detecting_words_in_srt

← Older revision		Revision as of 22:14, 28 November 2019
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	=== Auto_detecting_words_in_srt ===		=== Auto_detecting_words_in_srt ===
	[[File:guichu.txt]]		[[File:guichu.txt]]

	Copy the txt file to a empty .py file :) (.py file can't be uploaded, I wonder why @_@)		Copy the txt file to a empty .py file :) (.py file can't be uploaded, I wonder why @_@)
	#library srt link: https://github.com/cdown/srt		#library srt link: https://github.com/cdown/srt

2019-11-28T22:13:57Z

← Older revision		Revision as of 22:13, 28 November 2019
Line 21:		Line 21:
	=== Auto_detecting_words_in_srt ===		=== Auto_detecting_words_in_srt ===
	[[File:guichu.txt]]		[[File:guichu.txt]]
			Copy the txt file to a empty .py file :) (.py file can't be uploaded, I wonder why @_@)
	#library srt link: https://github.com/cdown/srt		#library srt link: https://github.com/cdown/srt
	#pip install -U srt		#pip install -U srt
	#copy paste srt file as ~~following~~(focus on the format at head and tail)		#copy paste srt file as in the code (focus on the format at head and tail)
	#it returns a sequence of subtitle classes object, contains index,time,~~contant usw~~.		#it returns a sequence of subtitle classes object, contains index,time, content, etc.
	#using for loop searching desired word in every object.content.		#using for loop searching desired word in every object.content.
	#it returns the time interval at the start and the end		#it returns the time interval at the start and the end
	#use srt.timedelta_to_srt_timestamp convert the time to normal one		#use srt.timedelta_to_srt_timestamp convert the time to normal one

2019-11-28T22:11:57Z

Auto_detecting_words_in_srt

← Older revision		Revision as of 22:11, 28 November 2019
Line 20:		Line 20:

	=== Auto_detecting_words_in_srt ===		=== Auto_detecting_words_in_srt ===
	[[File:guichu.py]]		[[File:guichu.txt]]

	#library srt link: https://github.com/cdown/srt		#library srt link: https://github.com/cdown/srt

2019-11-28T22:09:18Z

← Older revision		Revision as of 22:09, 28 November 2019
Line 21:		Line 21:
	=== Auto_detecting_words_in_srt ===		=== Auto_detecting_words_in_srt ===
	[[File:guichu.py]]		[[File:guichu.py]]

			#library srt link: https://github.com/cdown/srt
			#pip install -U srt
			#copy paste srt file as following(focus on the format at head and tail)
			#it returns a sequence of subtitle classes object, contains index,time,contant usw.
			#using for loop searching desired word in every object.content.
			#it returns the time interval at the start and the end
			#use srt.timedelta_to_srt_timestamp convert the time to normal one

2019-11-28T22:06:14Z

← Older revision		Revision as of 22:06, 28 November 2019
Line 17:		Line 17:
	* [https://github.com/cloud-annotations/training cloud annotations]		* [https://github.com/cloud-annotations/training cloud annotations]
	* [[Tracking Motion Detection]] this page is very much outdated since machine learning has become a thing		* [[Tracking Motion Detection]] this page is very much outdated since machine learning has become a thing


			=== Auto_detecting_words_in_srt ===
			[[File:guichu.py]]

2019-11-24T20:52:09Z

← Older revision		Revision as of 20:52, 24 November 2019
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	Here is the good olde color tracking in the new fancy clothes of "heuristics" https://towardsdatascience.com/real-time-object-detection-without-machine-learning-5139b399ee7d		Here is the good olde color tracking in the new fancy clothes of "heuristics" https://towardsdatascience.com/real-time-object-detection-without-machine-learning-5139b399ee7d
	* [https://github.com/cloud-annotations/training cloud annotations]		* [https://github.com/cloud-annotations/training cloud annotations]
			* [[Tracking Motion Detection]] this page is very much outdated since machine learning has become a thing

2019-11-24T20:48:50Z

← Older revision		Revision as of 20:48, 24 November 2019
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	Here is the good olde color tracking in the new fancy clothes of "heuristics" https://towardsdatascience.com/real-time-object-detection-without-machine-learning-5139b399ee7d		Here is the good olde color tracking in the new fancy clothes of "heuristics" https://towardsdatascience.com/real-time-object-detection-without-machine-learning-5139b399ee7d
			* [https://github.com/cloud-annotations/training cloud annotations]

2019-11-24T20:42:30Z

← Older revision		Revision as of 20:42, 24 November 2019
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	== Example ==		== Example ==

	Object detection using [https://github.com/opencv/open_model_zoo/tree/master/demos/object_detection_demo_yolov3_async OpenCV and YOLO].		Object detection using [https://github.com/opencv/open_model_zoo/tree/master/demos/object_detection_demo_yolov3_async OpenCV and YOLO].

	=== Input ===		=== Input ===
	[[File:~~input_dog~~.mp4]]		[[File:input dog.mp4]]

	=== Output ===		=== Output ===
	[[File:~~output_dog~~.mp4]]		[[File:output dog.mp4]]

			[[File:log dog.txt]]


	~~[[File~~:~~log_dog~~.~~txt]]~~		Here is the good olde color tracking in the new fancy clothes of "heuristics" https://towardsdatascience.com/real-time-object-detection-without-machine-learning-5139b399ee7d