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@aquib

45

Machine learning enthusiast, loves blogging and a dreamer

steemit.com/@aquib
VOTING POWER100.00%
DOWNVOTE POWER100.00%
RESOURCE CREDITS100.00%
REPUTATION PROGRESS33.35%
Net Worth
5.450USD
STEEM
0.001STEEM
SBD
9.519SBD
Own SP
13.965SP

Detailed Balance

STEEM
balance
0.001STEEM
market_balance
0.000STEEM
savings_balance
0.000STEEM
reward_steem_balance
0.000STEEM
STEEM POWER
Own SP
13.965SP
Delegated Out
0.000SP
Delegation In
0.000SP
Effective Power
13.965SP
Reward SP (pending)
0.000SP
SBD
sbd_balance
9.519SBD
sbd_conversions
0.000SBD
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0.000SBD
savings_sbd_balance
0.000SBD
reward_sbd_balance
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Account Info

nameaquib
id415684
rank103,943
reputation181668816140
created2017-10-20T17:08:57
recovery_accountsteem
proxyNone
post_count25
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next_vesting_withdrawal1969-12-31T23:59:59
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reset_accountnull
last_owner_update1970-01-01T00:00:00
last_account_update2018-04-16T05:33:03
minedNo
sbd_seconds0
sbd_last_interest_payment2018-10-13T16:58:18
savings_sbd_last_interest_payment1970-01-01T00:00:00
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Withdraw Routes

IncomingOutgoing
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From Date
To Date
steemdelegated 0.000 SP to @aquib
2020/05/08 06:30:03
delegatorsteem
delegateeaquib
vesting shares0.000000 VESTS
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2019/10/20 18:48:51
parent authoraquib
parent permlinkword2vec-from-scratch-in-python
authorsteemitboard
permlinksteemitboard-notify-aquib-20191020t184851000z
title
bodyCongratulations @aquib! You received a personal award! <table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@aquib/birthday2.png</td><td>Happy Birthday! - You are on the Steem blockchain for 2 years!</td></tr></table> <sub>_You can view [your badges on your Steem Board](https://steemitboard.com/@aquib) and compare to others on the [Steem Ranking](https://steemitboard.com/ranking/index.php?name=aquib)_</sub> **Do not miss the last post from @steemitboard:** <table><tr><td><a href="https://steemit.com/steemfest/@steemitboard/steemfest-commemorative-badge-refactored"><img src="https://steemitimages.com/64x128/https://files.steempeak.com/file/steempeak/arcange/YqQV5Tbj-image.png"></a></td><td><a href="https://steemit.com/steemfest/@steemitboard/steemfest-commemorative-badge-refactored">SteemFest⁴ commemorative badge refactored</a></td></tr></table> ###### [Vote for @Steemitboard as a witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1) to get one more award and increased upvotes!
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      "title": "",
      "body": "Congratulations @aquib! You received a personal award!\n\n<table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@aquib/birthday2.png</td><td>Happy Birthday! - You are on the Steem blockchain for 2 years!</td></tr></table>\n\n<sub>_You can view [your badges on your Steem Board](https://steemitboard.com/@aquib) and compare to others on the [Steem Ranking](https://steemitboard.com/ranking/index.php?name=aquib)_</sub>\n\n\n**Do not miss the last post from @steemitboard:**\n<table><tr><td><a href=\"https://steemit.com/steemfest/@steemitboard/steemfest-commemorative-badge-refactored\"><img src=\"https://steemitimages.com/64x128/https://files.steempeak.com/file/steempeak/arcange/YqQV5Tbj-image.png\"></a></td><td><a href=\"https://steemit.com/steemfest/@steemitboard/steemfest-commemorative-badge-refactored\">SteemFest⁴  commemorative badge refactored</a></td></tr></table>\n\n###### [Vote for @Steemitboard as a witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1) to get one more award and increased upvotes!",
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dtubesent 0.001 STEEM to @aquib- "Time is running out, claim your DTube account now before anyone else can! Login at https://d.tube"
2019/08/22 16:52:48
fromdtube
toaquib
amount0.001 STEEM
memoTime is running out, claim your DTube account now before anyone else can! Login at https://d.tube
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steemdelegated 1.233 SP to @aquib
2019/01/15 13:03:09
delegatorsteem
delegateeaquib
vesting shares2008.403754 VESTS
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      "vesting_shares": "2008.403754 VESTS"
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2018/10/21 01:48:57
parent authoraquib
parent permlinkword2vec-from-scratch-in-python
authorsteemitboard
permlinksteemitboard-notify-aquib-20181021t014858000z
title
bodyCongratulations @aquib! You have received a personal award! [![](https://steemitimages.com/70x70/http://steemitboard.com/@aquib/birthday1.png)](http://steemitboard.com/@aquib) 1 Year on Steemit <sub>_Click on the badge to view your Board of Honor._</sub> **Do not miss the last post from @steemitboard:** <table><tr><td><a href="https://steemit.com/steemitboard/@steemitboard/steemitboard-ranking-update-resteem-and-resteemed-added"><img src="https://steemitimages.com/64x128/https://cdn.steemitimages.com/DQmfRVpHQhLDhnjDtqck8GPv9NPvNKPfMsDaAFDE1D9Er2Z/header_ranking.png"></a></td><td><a href="https://steemit.com/steemitboard/@steemitboard/steemitboard-ranking-update-resteem-and-resteemed-added">SteemitBoard Ranking update - Resteem and Resteemed added</a></td></tr></table> > Support [SteemitBoard's project](https://steemit.com/@steemitboard)! **[Vote for its witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1)** and **get one more award**!
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      "body": "Congratulations @aquib! You have received a personal award!\n\n[![](https://steemitimages.com/70x70/http://steemitboard.com/@aquib/birthday1.png)](http://steemitboard.com/@aquib)  1 Year on Steemit\n<sub>_Click on the badge to view your Board of Honor._</sub>\n\n\n**Do not miss the last post from @steemitboard:**\n<table><tr><td><a href=\"https://steemit.com/steemitboard/@steemitboard/steemitboard-ranking-update-resteem-and-resteemed-added\"><img src=\"https://steemitimages.com/64x128/https://cdn.steemitimages.com/DQmfRVpHQhLDhnjDtqck8GPv9NPvNKPfMsDaAFDE1D9Er2Z/header_ranking.png\"></a></td><td><a href=\"https://steemit.com/steemitboard/@steemitboard/steemitboard-ranking-update-resteem-and-resteemed-added\">SteemitBoard Ranking update - Resteem and Resteemed added</a></td></tr></table>\n\n> Support [SteemitBoard's project](https://steemit.com/@steemitboard)! **[Vote for its witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1)** and **get one more award**!",
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2018/10/16 12:42:30
voteraquib
authoraquib
permlinkword2vec-from-scratch-in-python
weight10000 (100.00%)
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2018/10/16 12:41:09
parent author
parent permlinknlp
authoraquib
permlinkword2vec-from-scratch-in-python
titleWord2vec from scratch in Python
bodyWord2Vec is a method used for creating word embeddings. Word embedding is a feature engineering technique used in NLP where words or phrases from a vocabulary mapped to a vector of real numbers. Word2Vec have two different methods, continuous Bag of Words (CBOW) and Skip-gram method. We can use any one of them and create our word embeddings. CBOW: predicting the word given its context/surrounding words. Skip-Gram: Predicting the context from the given word. ![screen-shot-2018-09-25-at-6-11-01-pm.png](https://cdn.steemitimages.com/DQmc1GgSFTo2wFhoHkQJUPptqeNukekegXJHKHu7Pkwk1cL/screen-shot-2018-09-25-at-6-11-01-pm.png) the figure https://arxiv.org/pdf/1301.3781.pdf Skip Gram model: In skip-gram, the current word is taken as Input and predicts words within a certain range before and after the current word. Example: Ashraf Marwan is remembered most famously for spying for the Egyptian intelligence agency. After removing the stop words and all in lowercase: `ashraf marwan remembered famously spying egyptian intelligence agency` If we take the certain range 2, also called WINDOW_SIZE ![Screen Shot 2018-10-16 at 6.01.50 PM.png](https://cdn.steemitimages.com/DQmdYE8nCXwSLuo7p3wrMZb32oFx9jg24eNui7UksL7CjqN/Screen%20Shot%202018-10-16%20at%206.01.50%20PM.png) There are three main steps for training word2vec * clean the text documents, pre-processing. * converting the input and target into one hot vector using vocabulary. * creating a shallow Neural network and train it. ![screen-shot-2018-10-03-at-12-23-02-am.png](https://cdn.steemitimages.com/DQmZYoJCz2EyauJpr5dAN945JH7eM1jzV6JUbeCcgoFsWaE/screen-shot-2018-10-03-at-12-23-02-am.png) All the above steps and code are explained here: https://aquibjk.wordpress.com/2018/10/03/word2vec-analysis-and-implementation/
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      "title": "Word2vec from scratch in Python",
      "body": "Word2Vec is a method used for creating word embeddings. Word embedding is a feature engineering technique used in NLP where words or phrases from a vocabulary mapped to a vector of real numbers. Word2Vec have two different methods,  continuous Bag of Words (CBOW) and Skip-gram method. We can use any one of them and create our word embeddings.\nCBOW: predicting the word given its context/surrounding words.\nSkip-Gram: Predicting the context from the given word.\n![screen-shot-2018-09-25-at-6-11-01-pm.png](https://cdn.steemitimages.com/DQmc1GgSFTo2wFhoHkQJUPptqeNukekegXJHKHu7Pkwk1cL/screen-shot-2018-09-25-at-6-11-01-pm.png)\nthe figure  https://arxiv.org/pdf/1301.3781.pdf\nSkip Gram model: In skip-gram, the current word is taken as Input and predicts words within a certain range before and after the current word.\n\nExample: Ashraf Marwan is remembered most famously for spying for the Egyptian intelligence agency.\nAfter removing the stop words and all in lowercase:\n\n`ashraf marwan remembered famously spying egyptian intelligence agency`\n\nIf we take the certain range 2, also called WINDOW_SIZE\n![Screen Shot 2018-10-16 at 6.01.50 PM.png](https://cdn.steemitimages.com/DQmdYE8nCXwSLuo7p3wrMZb32oFx9jg24eNui7UksL7CjqN/Screen%20Shot%202018-10-16%20at%206.01.50%20PM.png)\n\nThere are three main steps for training word2vec\n* clean the text documents, pre-processing.\n* converting the input and target into one hot vector using vocabulary.\n* creating a shallow Neural network and train it.\n\n![screen-shot-2018-10-03-at-12-23-02-am.png](https://cdn.steemitimages.com/DQmZYoJCz2EyauJpr5dAN945JH7eM1jzV6JUbeCcgoFsWaE/screen-shot-2018-10-03-at-12-23-02-am.png)\n\nAll the above steps and code are explained here: https://aquibjk.wordpress.com/2018/10/03/word2vec-analysis-and-implementation/",
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steemdelegated 4.631 SP to @aquib
2018/10/13 17:42:57
delegatorsteem
delegateeaquib
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aquibclaimed reward balance: 0.001 SP
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2018/04/19 01:23:42
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2018/04/18 06:56:45
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2018/04/18 06:55:48
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2018/04/18 06:55:27
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2018/04/17 03:56:06
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2018/04/17 03:53:24
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2018/04/17 03:09:09
voteraquib
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2018/04/17 03:07:00
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2018/04/17 02:50:27
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2018/04/16 12:08:30
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2018/04/16 05:34:09
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permlinkdaily-inspiration-quotes-from-books
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2018/04/16 05:33:03
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2018/04/16 05:32:06
parent author
parent permlinklife
authoraquib
permlinkdaily-inspiration-quotes-from-books
titleDaily inspiration
bodyA few days back I finished reading a book "Man's Search for Meaning" and I would like to share few but very powerful quotes from the book: “Everything can be taken from a man but one thing: the last of the human freedoms—to choose one’s attitude in any given set of circumstances, to choose one’s own way.” “Those who have a 'why' to live, can bear with almost any 'how'.” “Happiness cannot be pursued; it must ensue.” “Life is not primarily a quest for pleasure, as Freud believed, or a quest for power, as Alfred Adler taught, but a quest for meaning.”
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2018/04/16 05:29:54
parent author
parent permlinklife
authoraquib
permlinkdaily-inspiration-quotes-from-books
titleDaily inspiration Quotes from books
bodyA few days back I finished reading a book "Man's Search for Meaning" and I would like to share few but very powerful quotes from the book: “Everything can be taken from a man but one thing: the last of the human freedoms—to choose one’s attitude in any given set of circumstances, to choose one’s own way.” “Those who have a 'why' to live, can bear with almost any 'how'.” “Happiness cannot be pursued; it must ensue.” “Life is not primarily a quest for pleasure, as Freud believed, or a quest for power, as Alfred Adler taught, but a quest for meaning.”
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2018/04/16 04:56:57
voteraquib
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2018/04/16 04:56:15
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aquibupvoted (100.00%) @aquib / urqljv42
2018/01/17 16:13:18
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aquibupdated options for urqljv42
2018/01/17 16:08:24
authoraquib
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aquibpublished a new post: urqljv42
2018/01/17 16:08:24
parent author
parent permlinkmachinelearning
authoraquib
permlinkurqljv42
titleobject detection
body<center><a href='https://d.tube/#!/v/aquib/urqljv42'><img src='https://ipfs.io/ipfs/QmTwANaQpHuUurUfWkQYfHywsGoTJG9dFpFZifBQsLGCeq'></a></center><hr> Background subtraction is a major preprocessing steps in many vision based applications. For example, consider the cases like visitor counter where a static camera takes the number of visitors entering or leaving the room, or a traffic camera extracting information about the vehicles etc. In all these cases, first you need to extract the person or vehicles alone. Technically, you need to extract the moving foreground from static background. https://docs.opencv.org/3.0-beta/doc/py_tutorials/py_video/py_bg_subtraction/py_bg_subtraction.html#py-background-subtraction <hr><a href='https://d.tube/#!/v/aquib/urqljv42'> ▶️ DTube</a><br /><a href='https://ipfs.io/ipfs/QmRALBDrcNx4trvDJ99dsq74LfkcroCf1QktK4iDQqVxtX'> ▶️ IPFS</a>
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aquibupvoted (100.00%) @joeparys / zm1p9aij
2018/01/09 12:32:12
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2017/12/29 20:24:30
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aquibupvoted (100.00%) @exyle / czu773ub
2017/12/29 20:23:12
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steemdelegated 4.930 SP to @aquib
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2017/12/04 17:57:21
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2017/12/03 19:44:12
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2017/12/03 18:36:30
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parent permlinkpart-2-smile-recognition-using-tensoflow-opencv-in-real-video-feed
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title
bodyWant to implement your first AI? Check out our [post :)](https://steemit.com/ai/@neurallearner/ai-introduction-part-1-2-first-neural-network-in-keras)
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2017/12/03 18:21:06
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2017/12/03 17:58:03
parent author
parent permlinkscience
authoraquib
permlinkpart-2-smile-recognition-using-tensoflow-opencv-in-real-video-feed
titlePart 2: Smile Recognition using TensoFlow, Opencv in real video feed
bodyHello World! This is going to be the second and final part of smile recognition in real time, In the first part, I explained about how to train logistic/softmax regression model using TensorFlow, to predict if the input is a neutral face or smiling face. In this post, I am going to explain how to load the saved model, find the face from video feed using Dlib module, extracting the mouth part(Region Of Interest), pass it through the saved model run the prediction and show the result. About the Dlib: Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems. See [http://dlib.net](http://dlib.net) for the main project documentation and API reference. Dlib facial landmarks: ![IMG_20171203_230245.jpg](https://steemitimages.com/DQmXhZxz7Vx8CMqfQ52XaYChS9ZBdbpzBLtNsrUxYiuBtAA/IMG_20171203_230245.jpg) Steps: * Loading the saved model * Start TensorFlow session and initialize camera to read frames * Using Dlib library find the face in the image, and then using facial landmarks detection get the Region Of Interest of the mouth area. * Once we get the mouth area, normalize all the pixels values and flatten the image * Pass the flatten image to the saved model, you'll get score for both the cases All the above steps have been well explained in the video below: <iframe width="560" height="315" src="https://www.youtube.com/embed/SoXyQONoWF0" frameborder="0" allowfullscreen></iframe> If you like the video please give a thumbs up and subscribe to the channel: https://www.youtube.com/channel/UC97_pHqfRIp6h-E30jj5JRw if you like it and want more like this # *Follow me @aquib*
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      "body": "Hello World!\n\nThis is going to be the second and final part of smile recognition in real time, In the first part, I explained about how to train logistic/softmax regression model using TensorFlow, to predict if the input is a neutral face or smiling face.\nIn this post, I am going to explain how to load the saved model, find the face from video feed using Dlib module, extracting the mouth part(Region Of Interest), pass it through the saved model run the prediction and show the result.\n\nAbout the Dlib:\nDlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems. See [http://dlib.net](http://dlib.net) for the main project documentation and API reference.\n\nDlib facial landmarks:\n![IMG_20171203_230245.jpg](https://steemitimages.com/DQmXhZxz7Vx8CMqfQ52XaYChS9ZBdbpzBLtNsrUxYiuBtAA/IMG_20171203_230245.jpg)\n\nSteps:\n* Loading the saved model\n* Start TensorFlow session and initialize camera to read frames\n*  Using Dlib library find the face in the image, and then using facial landmarks detection get the Region Of Interest of the mouth area.\n* Once we get the mouth area, normalize all the pixels values and flatten the image\n* Pass the flatten image to the saved model, you'll get score for both the cases\n\nAll the above steps have been well explained in the video below:\n<iframe width=\"560\" height=\"315\" src=\"https://www.youtube.com/embed/SoXyQONoWF0\" frameborder=\"0\" allowfullscreen></iframe>\nIf you like the video please give a thumbs up and subscribe to the channel:\nhttps://www.youtube.com/channel/UC97_pHqfRIp6h-E30jj5JRw\n\nif you like it and want more like this \n# *Follow me @aquib*",
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2017/12/02 17:21:24
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2017/11/26 07:04:09
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2017/11/19 08:33:03
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2017/11/17 16:40:51
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2017/11/17 16:40:36
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2017/11/17 16:39:39
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2017/11/17 16:38:27
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2017/11/16 14:36:03
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aquibreceived 0.001 SP curation reward for @gra / breathing-new-life-into-old-biology-studies-with-gis
2017/11/16 08:08:42
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2017/11/15 01:51:27
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2017/11/14 16:56:24
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2017/11/14 16:22:33
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title
bodyCan you put you put your steemit link in your YT description? Just to confirm that you're the owner of this video. Thanks :)
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2017/11/14 16:10:12
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2017/11/14 15:56:27
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2017/11/14 15:55:30
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authoraquib
permlinkobject-detection-using-background-subtraction
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bodyThere are plenty of methods to make an object detection like Haarcascade, HoG and most advanced are FAST-RCNN. In this blog I would like to present an Idea to do object detection (moving object detection) we'll be using OpenCV background subtraction method for localizing the moving objects then we'll pass each localized object to a powerful deep learning model. We can train our model by using transfer learning with inception v-3 model and pass every ROI to machine learning model to classify it. Only problem is with the model if it will enough fast to work on real time video or another ways if we do it on GPU it might work great. <iframe width="560" height="315" src="https://www.youtube.com/embed/6xu6AVLEG6s" frameborder="0" allowfullscreen></iframe>
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2017/11/14 15:54:12
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aquibclaimed reward balance: 0.003 SP
2017/11/13 05:11:21
accountaquib
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aquibfollowed @gra
2017/11/10 16:51:15
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2017/11/10 16:51:03
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2017/11/09 20:02:18
curatoraquib
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2017/11/09 09:57:48
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2017/11/07 00:36:57
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2017/11/07 00:36:48
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2017/11/06 18:36:57
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2017/11/06 13:20:24
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aquibreceived 0.001 SP curation reward for @bitgeek / monero-price-forecast---30th-october
2017/11/06 02:00:33
curatoraquib
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2017/11/05 17:47:54
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2017/11/05 14:58:45
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2017/11/05 14:58:42
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bodyCongratulations @aquib! You have completed some achievement on Steemit and have been rewarded with new badge(s) : [![](https://steemitimages.com/70x80/http://steemitboard.com/notifications/firstpayout.png)](http://steemitboard.com/@aquib) You got your First payout [![](https://steemitimages.com/70x80/http://steemitboard.com/notifications/payout.png)](http://steemitboard.com/@aquib) Award for the total payout received Click on any badge to view your own Board of Honor on SteemitBoard. For more information about SteemitBoard, click [here](https://steemit.com/@steemitboard) If you no longer want to receive notifications, reply to this comment with the word `STOP` > By upvoting this notification, you can help all Steemit users. Learn how [here](https://steemit.com/steemitboard/@steemitboard/http-i-cubeupload-com-7ciqeo-png)!
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Transaction InfoBlock #16958698/Trx 820dc04c526d5bb2a107e1dcfe05287083515853
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2017/11/05 13:07:42
parent author
parent permlinklife
authoraquib
permlinka-day-in-pondicherry-a-bit-of-france
titleA day in Pondicherry - A bit of france
bodyJust wanted to share an experience of a trip which we took yesterday, It was nice! I love to travel on a rainy or cloudy day. I just insist them to come with me. It was Saturday morning wake up at around 8.30 am by 9 decided to visit Pondicherry, It's only 130Kms from our Place(Karrapakkam, Chennai). When we came out of my PG and look out, the sky was grey-black and large clouds are moving it was a beautiful weather ad perfect day for me to go out and explore some places. Here's our break journey, Karrapakkam to ECR beach road to take the bus for Pondicherry. This is how our journey begins: ![IMG_20171104_122231.jpg](https://steemitimages.com/DQmcVEjHZdqiBu9A3BASHyd2c7fGCLWg5VicDnEPSd453fN/IMG_20171104_122231.jpg) It took around 2 hours and 30 minutes to reach to Pondicherry Bus station reached at around 1:30 pm. It wasn't that crowdy place as I thought of, may be due to weather most of the people don't come out on a rainy day. We went to Rock beach, the first look was something like this: ![IMG_20171104_135742.jpg](https://steemitimages.com/DQmaveHoFzJdN2JZdnjJmhvTrVaBsSc95paEfEutvfzSCA6/IMG_20171104_135742.jpg) There are many places around it and much more to do in Pondicherry, We didn't have much time there so we just enjoyed there and had lunch and come back. This is my very first travel blog, didn't have much Idea how to write, So I just started and I hope you liked it, Enjoy!
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      "title": "A day in Pondicherry - A bit of france",
      "body": "Just wanted to share an experience of a trip which we took yesterday, It was nice! I love to travel on a rainy or cloudy day. I just insist them to come with me. \n\nIt was Saturday morning wake up at around 8.30 am by 9 decided to visit Pondicherry, It's only 130Kms from our Place(Karrapakkam, Chennai).\nWhen we came out of my PG and look out, the sky was grey-black and large clouds are moving it was a beautiful weather ad perfect day for me to go out and explore some places.\nHere's our break journey, Karrapakkam to ECR beach road to take the bus for Pondicherry.\nThis is how our journey begins:\n![IMG_20171104_122231.jpg](https://steemitimages.com/DQmcVEjHZdqiBu9A3BASHyd2c7fGCLWg5VicDnEPSd453fN/IMG_20171104_122231.jpg)\nIt took around 2 hours and 30 minutes to reach to Pondicherry Bus station reached at around 1:30 pm. \nIt wasn't that crowdy place as I thought of,  may be due to weather most of the people don't come out on a rainy day. \nWe went to Rock beach, the first look was something like this:\n![IMG_20171104_135742.jpg](https://steemitimages.com/DQmaveHoFzJdN2JZdnjJmhvTrVaBsSc95paEfEutvfzSCA6/IMG_20171104_135742.jpg)\n\nThere are many places around it and much more to do in Pondicherry, We didn't have much time there so we just enjoyed there and had lunch and come back. \nThis is my very first travel blog, didn't have much Idea how to write, So I just started and I hope you liked it, \n\nEnjoy!",
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aquibclaimed reward balance: 9.415 SBD, 13.194 SP
2017/11/05 12:49:48
accountaquib
reward steem0.000 STEEM
reward sbd9.415 SBD
reward vests21485.571002 VESTS
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aquibreceived 9.415 SBD, 13.189 SP author reward for @aquib / smile-recognition-using-tensoflow-opencv
2017/11/05 12:31:54
authoraquib
permlinksmile-recognition-using-tensoflow-opencv
sbd payout9.415 SBD
steem payout0.000 STEEM
vesting payout21477.350794 VESTS
Transaction InfoBlock #16955761/Virtual Operation #35
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aquibreceived 0.005 SP curation reward for @aquib / smile-recognition-using-tensoflow-opencv
2017/11/05 12:31:54
curatoraquib
reward8.220208 VESTS
comment authoraquib
comment permlinksmile-recognition-using-tensoflow-opencv
Transaction InfoBlock #16955761/Virtual Operation #25
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2017/11/05 12:31:45
parent authorcristi
parent permlinktechnically-light-guide-to-deep-learning-a-short-read
authoraquib
permlinkre-cristi-technically-light-guide-to-deep-learning-a-short-read-20171105t123144033z
title
bodyThanks for sharing
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      "permlink": "re-cristi-technically-light-guide-to-deep-learning-a-short-read-20171105t123144033z",
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No active witness votes.
[]