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Geometric Transformations in Computer Vision A Comprehensive Guide
Course link: aicourse.thinkific.com/courses/fundamentals-of-computer-vision
In this comprehensive guide, we dive deep into the world of geometric transformations in computer vision. Explore how spatial transformations, such as translation, rotation, scaling, and more, are used to manipulate images and improve computer vision models. Whether you’re a beginner or a seasoned professional, this video will equip you with the knowledge to master these essential techniques. With hands-on examples and clear explanations, you'll gain a strong foundation in spatial transformations and their applications in real-world computer vision tasks.
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✅ About AI Sciences.
AI Sciences is an e-learning company; the company publishes online courses and books about data science and computer technology for anyone, anywhere.
We are a group of experts, Ph.D. students, and young practitioners of artificial intelligence, computer science, machine learning, and statistics. Some of us work for big-name companies like Google, Facebook, Microsoft, KPMG, BCG, and Mazars.
We decided to produce courses and books mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, our objective was to help only those who wish to understand these techniques more easily and to be able to start with less theory or lengthy reading. Today, we publish more complete books on selected topics for a wider audience.
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#predictionofsocialmediafollowers #socialmediafollowersbymachinelearning #socialmediamarketing #socialmediamarketingforbeginners
Disclaimer: We do not accept any liability for any loss or damage which is incurred by you acting or not acting as a result of watching any of my publications. You acknowledge that you use the information I provide at your own risk. Do your own research.
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© AI Sciences
zhlédnutí: 69

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zhlédnutí 123Před dnem
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Brain Tumor detection using Python - A complete Project
zhlédnutí 489Před 28 dny
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Email Automation using Python: Practical Project for Marketing and Management
zhlédnutí 258Před měsícem
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Time Series Analysis Overview | Features of Time Series | Understanding Time Series Data
zhlédnutí 167Před 2 měsíci
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Introduction To Amazon Web Services (AWS) and it's Benefits (2024)
zhlédnutí 94Před 2 měsíci
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zhlédnutí 287Před 2 měsíci
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Komentáře

  • @ZahraModassirKhan
    @ZahraModassirKhan Před dnem

    this is a qr code

  • @kalpanams55
    @kalpanams55 Před 2 dny

    Is there any base paper for stress level detection

  • @avinashdudala9490
    @avinashdudala9490 Před 7 dny

    Hi this code not working on New Outlook app can you send me any other approach that works on New Outlook app

    • @AISciencesLearn
      @AISciencesLearn Před 2 dny

      Thanks a lot for your question. it will work you need to allow the permission. After that it will work in your new outlook app.

  • @Abhinayanagarajan-x8p

    Recommender systems are such a game-changer for personalization. As an AI enthusiast, I'm fascinated by how they can analyze user behavior and preferences to deliver tailored recommendations.

    • @AISciencesLearn
      @AISciencesLearn Před 2 dny

      Thanks a lot for your question. it based on the training. The models are trained on the basis of your search. It save your search and train the system according to this.

  • @brototi1
    @brototi1 Před 13 dny

    Can u pls tell me that ur prediction is for how many days/years? & where to look for it in the video?

    • @AISciencesLearn
      @AISciencesLearn Před 2 dny

      Thanks a lot. Its for the remaining days of 2022. Moreover you can see at the end of the video or you can follow our website. The link is in the description of the video.

  • @isowmosi
    @isowmosi Před 17 dny

    dataset???

    • @AISciencesLearn
      @AISciencesLearn Před 17 dny

      colab.research.google.com/drive/1C8m2EYPpe0FsW3kL_OBB2ZqvBSSJYIRl?usp=sharing

  • @KingBeyu
    @KingBeyu Před 20 dny

    Hello Instructor We're reaching out to discuss strategies to promote your Udemy course. With your expertise and the course's value, we see impactful ways to boost visibility and expand your audience. Best Regards

  • @adewolesamuel1311
    @adewolesamuel1311 Před 21 dnem

    Hello, I hope this message finds you well. I would greatly appreciate a few minutes of your time for a constructive conversation regarding your Udemy course. If possible, would you be available for a quick call? Thank you in advance for considering my request.

  • @k.a.roshnisrimoorthy1472

    the output is 'no stress' whatever the input is,what should I do to solve this

    • @AISciencesLearn
      @AISciencesLearn Před 19 dny

      Thanks for your question. first you train the model again and then try .

  • @priyadharshinisurendran1107

    sir can u please provide the dataset file

  • @mujtabasiddiqui6905
    @mujtabasiddiqui6905 Před 25 dny

    Thanks, just what I needed

  • @manikantaperumalla8014

    Thank you for your nice way of explaining keep it up and help people with more content 😊❤

  • @amanahmed6057
    @amanahmed6057 Před 29 dny

    can you give these 2 images

  • @smnomad9276
    @smnomad9276 Před měsícem

    That's actually an amazing video and project idea! Thanks for the effort your channel is really dope.

  • @SahaParikshit
    @SahaParikshit Před měsícem

    please share dataset link.

    • @AISciencesLearn
      @AISciencesLearn Před 29 dny

      colab.research.google.com/drive/1C8m2EYPpe0FsW3kL_OBB2ZqvBSSJYIRl?usp=sharing

  • @lavanyakommu-nz4ml
    @lavanyakommu-nz4ml Před měsícem

    can i know what algorithm is used in these code?

    • @SaiKumarReddy-th3fb
      @SaiKumarReddy-th3fb Před měsícem

      Nuvvu kuda IIDT lo internship chesthunnava human stress level detection

    • @AISciencesLearn
      @AISciencesLearn Před měsícem

      Thanks a lot for your question. Yes navie based is used

  • @AmirFaramarzpour
    @AmirFaramarzpour Před měsícem

    box,lable,count = cv.detect_common_objects(image) output = draw_bbox(image,box,lable,count) plt.imshow(output) lable.count('cars') error Traceback (most recent call last) Cell In[24], line 4 1 # now we want to draw a bounding box (bbox) around the car and truck objects: 2 # common object detectors available in CVlib ----> 4 box,lable,count = cv.detect_common_objects(image) 5 output = draw_bbox(image,box,lable,count) 6 plt.imshow(output) File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.12_qbz5n2kfra8p0\LocalCache\local-packages\Python312\site-packages\cvlib\object_detection.py:125, in detect_common_objects(image, confidence, nms_thresh, model, enable_gpu) 123 if initialize: 124 classes = populate_class_labels() --> 125 net = cv2.dnn.readNet(weights_file_abs_path, config_file_abs_path) 126 initialize = False 128 # enables opencv dnn module to use CUDA on Nvidia card instead of cpu error: OpenCV(4.10.0) D:\a\opencv-python\opencv-python\opencv\modules\dnn\src\darknet\darknet_io.cpp:705: error: (-215:Assertion failed) separator_index < line.size() in function 'cv::dnn::darknet::ReadDarknetFromCfgStream'

  • @narendra672
    @narendra672 Před měsícem

    ai hai

  • @entrapenuretraction3975
    @entrapenuretraction3975 Před měsícem

    Hello brother can you send me dataset

  • @wolfknight9212
    @wolfknight9212 Před měsícem

    Thanks good intro of the whole subject, just what I needed❤

  • @DanielLopezC89
    @DanielLopezC89 Před měsícem

    Thanks bro, but what if I want to put some signatures i have created in outlook?, how can i show it in the mail

    • @AISciencesLearn
      @AISciencesLearn Před měsícem

      Thanks a lot for your question. The signature depend on the internal setting of the email. You have to put signature into your email then it will work.

  • @user-sg5mt6jj4q
    @user-sg5mt6jj4q Před měsícem

    👍👌

  • @dibakarrath9446
    @dibakarrath9446 Před měsícem

    Thankyou sir

  • @adelante4ediz
    @adelante4ediz Před měsícem

    i create binance api key also gave it all permissions still goit api error

    • @AISciencesLearn
      @AISciencesLearn Před měsícem

      Thanks a lot for your question. Sometimes it happened. Again do the process. You can also send what’s it showing may be then we can help you.

  • @KartikSharma-cj4sb
    @KartikSharma-cj4sb Před měsícem

    evening after downloading the stress.csv file its showing no file found i useed the medium notepad

    • @AISciencesLearn
      @AISciencesLearn Před měsícem

      Thanks a lot for your question. The file is not downloaded correctly so that’s why it happened. Download the correct file and then use this file.

  • @user-ff2tf3cw9j
    @user-ff2tf3cw9j Před měsícem

    Hello sir how we can done this process under dataset

    • @AISciencesLearn
      @AISciencesLearn Před měsícem

      Thanks a lot for your question. we can do this under the dataset. Actually what you want to do can you more elaborate this.?

  • @shauryamathur5026
    @shauryamathur5026 Před měsícem

    sir pls provide the csv file , its not there in github repo

  • @spandana8855
    @spandana8855 Před měsícem

    dataset not available mam

  • @jmchandra
    @jmchandra Před měsícem

    Cell In[19], line 2 1 sentiments = SentimentIntensityAnalyzer() ----> 2 data["Positive"] = [sentiments.polarity_scores(i)["pos"] for i in data["verified_reviews"]] 3 data["Negative"] = [sentiments.polarity_scores(i)["neg"] for i in data["verified_reviews"]] 4 data["Neutral"] = [sentiments.polarity_scores(i)["neu"] for i in data["verified_reviews"]] Cell In[19], line 2, in <listcomp>(.0) 1 sentiments = SentimentIntensityAnalyzer() ----> 2 data["Positive"] = [sentiments.polarity_scores(i)["pos"] for i in data["verified_reviews"]] 3 data["Negative"] = [sentiments.polarity_scores(i)["neg"] for i in data["verified_reviews"]] 4 data["Neutral"] = [sentiments.polarity_scores(i)["neu"] for i in data["verified_reviews"]] File /opt/anaconda3/lib/python3.11/site-packages/nltk/sentiment/vader.py:366, in SentimentIntensityAnalyzer.polarity_scores(self, text) 355 """ 356 Return a float for sentiment strength based on the input text. 357 Positive values are positive valence, negative value are negative (...) 363 matched as if it was a normal word in the sentence. 364 """ how to resolve this sir? pls reply

  • @abhaypawaiya5780
    @abhaypawaiya5780 Před měsícem

    the output is no stress every time

    • @AISciencesLearn
      @AISciencesLearn Před měsícem

      Thanks a lot for your question. it's may be due to your model is not trained well.

  • @swarhan
    @swarhan Před měsícem

    Thanks for this code. But, I am having two problems with Outlook, It is asking some one is trying to send an email on your behalf, allow or deny, and is expecting to press allow and I have to press send/receive option in outlook to send the email. How to solve these problems?

    • @AISciencesLearn
      @AISciencesLearn Před měsícem

      Thanks a lot for your question. it's the request generated by this code. you can use this. because when it take permission then it will automate your email system. other wise it is enable because you did not give him permission to do this.

  • @CollinsObeng-cf9iq
    @CollinsObeng-cf9iq Před 2 měsíci

    Great video, where can we download the dataset from?

  • @kevthedev502
    @kevthedev502 Před 2 měsíci

    Great job!

  • @mohamedabdiaziz5993
    @mohamedabdiaziz5993 Před 2 měsíci

    Can I build this system for my own dataset?

  • @smartypants1980
    @smartypants1980 Před 2 měsíci

    Why are pending transactions slow with AI available?

    • @AISciencesLearn
      @AISciencesLearn Před 2 měsíci

      Thanks a lot. they are not slow. they just need to process the data. so thats why

  • @buraddoh
    @buraddoh Před 2 měsíci

    "Collaberative" 😂

  • @AlwaysBored1
    @AlwaysBored1 Před 2 měsíci

    What is the purpose of performing this action through Python code when Outlook does it all for you? Where is the value or benefit of doing it this way? Thank you 🙏

    • @AISciencesLearn
      @AISciencesLearn Před 2 měsíci

      Thanks a lot. yes they allow. and secondly the benefit of this is that it will automate the system.

    • @AlwaysBored1
      @AlwaysBored1 Před 2 měsíci

      @@AISciencesLearn automate what? I don't see automation in this example. Thank you.

  • @adegunloyerebecca2671
    @adegunloyerebecca2671 Před 2 měsíci

    @AISciencesLearn I don't know if you might be available for a brief call I'm reaching out to discuss an exciting business opportunity to enhance your Udemy course. The goal is to increase the visibility of your course, attract a broader audience, and cultivate positive reviews. @ YAGI TEAM WW I'll be looking forward to your response Thanks

  • @user-vf5gb7qd7d
    @user-vf5gb7qd7d Před 2 měsíci

    Good job Adnan, you explained it in a very simple way.

  • @GrayHatMwenda
    @GrayHatMwenda Před 2 měsíci

    Does this work for Linux systems/Users?

    • @AISciencesLearn
      @AISciencesLearn Před 2 měsíci

      Thanks a lot for your question. yes this work but according to system requirement a few changes will be required .

  • @jyotiprakashmohapatra6172
    @jyotiprakashmohapatra6172 Před 3 měsíci

    Sir i am confused with "data1.csv"

    • @AISciencesLearn
      @AISciencesLearn Před 2 měsíci

      Thanks a lot. The data1.csv file is that file which is used as dataset.

  • @matinnadaf8889
    @matinnadaf8889 Před 3 měsíci

    How can i get the dataset, can you send the dataset you used?

  • @mohamedabdiaziz5993
    @mohamedabdiaziz5993 Před 3 měsíci

    I am a final year student at Jamhuriya University of Science and Technology, currently engaged in a pivotal final project that aims to develop an Automatic Speech Recognition (ASR) system for Somali using wav2vec 2.0. As I delve deeper into the realms of machine learning and deep learning, I find myself in need of expert guidance and mentorship. I recently came across your work on CZcams, and I am greatly impressed by your expertise in ASR systems. I believe your insights could be crucial to the success of my project. I am eager to learn from your team and am hopeful that there could be an opportunity for collaboration. Could we possibly schedule a time to discuss this in further detail? I appreciate your consideration and look forward to the possibility of working together. Best regards, Mohamed Abdiaziz

  • @pfever
    @pfever Před 3 měsíci

    The title of this video is misleading, it doesn't perform face recognition but face detection

    • @AISciencesLearn
      @AISciencesLearn Před 2 měsíci

      Thanks a lot for your concern. Face detection and face recognition are broader terms. They are not misleading as we mention that face recognition uses few-shot learning AI.

  • @Kaywo7
    @Kaywo7 Před 3 měsíci

    the link to the code is a retarded fishing link lol

  • @RituRachelGeorge
    @RituRachelGeorge Před 3 měsíci

    hello sir, i'm not getting the proper output instead my output is displayed as <unk>Z<unk>Z<unk> .... please help sir what shall I do?

    • @AISciencesLearn
      @AISciencesLearn Před 3 měsíci

      Thanks a lot for your question. you are using the same audio file ?. Use the same audio file and then try this. Thank you

  • @lindalourenco9354
    @lindalourenco9354 Před 3 měsíci

    Hello! in the below part of the code, I am having an InvalidParameterError feature = data["Genres"].tolist() tfidf = text.TfidfVectorizer(input=feature,stop_words="english") tfidf_matrix = tfidf.fit_transform(feature) similarity = cosine_similarity(tfidf_matrix) InvalidParameterError: The 'input' parameter of TfidfVectorizer must be a str among {'content', 'filename', 'file'}. Got ['Reality TV'. (...) How can I resolve it?

    • @AISciencesLearn
      @AISciencesLearn Před 3 měsíci

      Thanks a lot for your question. you got this error because your input parameters is not a str. Change your input into str then try this.

  • @user-ci2bq6jm2r
    @user-ci2bq6jm2r Před 3 měsíci

    @Dataset Please

  • @TosinAluko-uo6px
    @TosinAluko-uo6px Před 3 měsíci

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  • @imane-hx1kp
    @imane-hx1kp Před 3 měsíci

    can we use random forest to predict foreign exchange rate?

    • @AISciencesLearn
      @AISciencesLearn Před 3 měsíci

      Thanks a lot for your question. yes you can use the random forest but may be it will not perform better.

    • @imane-hx1kp
      @imane-hx1kp Před měsícem

      @@AISciencesLearn and what is the reason why you didn't scale the data.