You are the BEST! Thank you for your video, your style of teching and your exuberance! LEARNED LOTS!

Hello, you mentioned that it track also the third coordinate (z). How is it possible, if you use 2D camera?

Hey I have tried but after 9 sign it is not accepting other 10 sign

Is there any specific amount of data needed for training

no module name 'sklearn" though I already installed it. Can you explain ?

57:32

😮face isn't always accurate why not body and clothes isn't it gives more room and accuracy 😅 how to do that

I want to make project when a person writes K in air it should be converted into text K , how can do this

Thanks a lot!

Thank you for the nice tutorial! As mentioned before, the div boxes and selenium code have to be updated.

Plugin [id: 'com.android.application', version: '8.5.0', apply: false] was not found in any of the following sources: i always got this kind of error

Hi what type of neural network have been used?

do anyone knew how to add more than 10 ID, im still confusing reading the comment?

One of the best and more enganging videos Ive watched on this topic ! Good stuff

HI, it is not clear to me what types of neural networks are used in this project, because you mentioned CNN and feed forward, but in the project there is something about LSTM neural net. Thanks in advance

Hi Ivan I was researching to make the same thing as your student! I want to make a sign language learning app as well, for fun. If your student completed the project, could you share a link? I would love to see what a finished project could look like.

How would I be able to get a confidence percentage for each recognized hand gesture?

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am facing these errors can anyone help me C:\Users\admin\AppData\Local\Microsoft\WindowsApps\python3.11.exe C:\Users\admin\hand-gesture-recognition-mediapipe-main\hand-gesture-recognition-mediapipe-main\app.py Traceback (most recent call last): File "C:\Users\admin\hand-gesture-recognition-mediapipe-main\hand-gesture-recognition-mediapipe-main\app.py", line 545, in <module> main() File "C:\Users\admin\hand-gesture-recognition-mediapipe-main\hand-gesture-recognition-mediapipe-main\app.py", line 89, in main cvFpsCalc = CvFpsCalc(buffer_len=10) ^^^^^^^^^^^^^^^^^^^^^^^^ TypeError: CvFpsCalc() takes no arguments INFO: Created TensorFlow Lite XNNPACK delegate for CPU. WARNING: All log messages before absl::InitializeLog() is called are written to STDERR W0000 00:00:1717824829.656715 4736 inference_feedback_manager.cc:114] Feedback manager requires a model with a single signature inference. Disabling support for feedback tensors. W0000 00:00:1717824829.744354 4736 inference_feedback_manager.cc:114] Feedback manager requires a model with a single signature inference. Disabling support for feedback tensors.

hey could you pls tell me how do i integrate a volume reduction function when the clock-wise movement of the hand is detected , thanks

Love by Italy

Python version?

Hey! I'm running issues with the model and I was wondering how to reach you for some advice or if anyone else is willing to help. I need to get this working in the next 2 days.

dude you are my hero thank a lot

Try to speak slower, great tutorial nonetheless

there is a certain early stopping while training the data is there anything i can do to solve it

SOME IMPORTANT KEYPOINTS: - Custom hand gesture recognition using Google's Mediapipe and OpenCV in Python is explored in-depth. - Two primary approaches, pixels-first and landmarks-first, are discussed for hand gesture recognition. - The necessity of machine learning or deep learning for recognizing complex hand gestures is emphasized. - Mediapipe simplifies hand detection and landmark extraction through its pre-trained models. - Steps like pre-processing hand landmarks, converting to relative coordinates, and training models are detailed. - Training data stored in dot cc files, normalization of values, and Jupyter notebooks for classification are highlighted. - The video serves as a comprehensive guide for developing a reliable hand gesture recognition system.

thnkx broo

Great video!!

Electromagnetic simulations of hand gestures and their radar signatures: kzbin.info/www/bejne/lWGcgnSaaqytpposi=YL4tSf1s9FcJz-oh

Hello This part is running indefinitely: # モデルを変換(量子化) tflite_save_path = 'model/keypoint_classifier/keypoint_classifier.tflite' print('x') converter = tf.lite.TFLiteConverter.from_keras_model(model) print('y') converter.optimizations = [tf.lite.Optimize.DEFAULT] print('z') tflite_quantized_model = converter.convert() //////this is where it is just running? what should i do? print('a') open(tflite_save_path, 'wb').write(tflite_quantized_model)

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KERNEL IS CRASHING Initially I was getting the error that the model name must be in ".keras" format later I commented the part which was throwing the error and then I executed the cells of the keypoint_classifier.ipynb in the vs code in the kernel(that is the virtual environment that I created). But now the kernel is crashing and if I run the cells on the jupyter notebook then it is not identifying the modules,i.e. giving errors like tensorflow not found. Do you have any idea how to fix any one of the issues, i.e. either the crashing of the kernel or the issue of jupyter notebook?

Hi. Can i use rtsp link from ip camera to recognition?

Getting this error: --------------------------------------------------------------------------- ValueError Traceback (most recent call last) Cell In[30], line 2 1 # モデルチェックポイントのコールバック ----> 2 cp_callback = tf.keras.callbacks.ModelCheckpoint( 3 model_save_path, verbose=1, save_weights_only=False) 4 # 早期打ち切り用コールバック 5 es_callback = tf.keras.callbacks.EarlyStopping(patience=20, verbose=1) File C:\Python3.11\Lib\site-packages\keras\src\callbacks\model_checkpoint.py:191, in ModelCheckpoint.__init__(self, filepath, monitor, verbose, save_best_only, save_weights_only, mode, save_freq, initial_value_threshold) 189 else: 190 if not self.filepath.endswith(".keras"): --> 191 raise ValueError( 192 "The filepath provided must end in `.keras` " 193 "(Keras model format). Received: " 194 f"filepath={self.filepath}" 195 ) ValueError: The filepath provided must end in `.keras` (Keras model format). Received: filepath=model/keypoint_classifier/keypoint_classifier.hdf5

How to find the direction the hand moves? I have signs where it needs to go to the right to be one label, and still to ramain as other label. Is there a way to do that in this program?

hey anybody let me know how i can do that in flutter

Kudos to you for explaining very clearly . I mean it , and kudos to the github repo owner as well. 👏👏👏

11:00

Can it detect sign language?

how can i exceed more than 10 classes

Thanks man, i was wondering how much of a pain it would be to create a proper keras-readable dataset out of those '.mat' files.

FOR: Training Mediapipe models using custom datasets.

thks very much😀

so helpful video,

I use VidIQ and I accidentally clicked on "Analyze the hook" on AI option based on a transcript of your video and I got an idea, pasted the prompted response to Chat GPT and edited it slightly, said "make a joke by following these tips:" and this is the result: Sure, let's give it a shot: "Hey everyone! So, I was at this quantum mechanics conference the other day, and you know it's serious when Richard Feynman and Albert Einstein walk into a bar... well, theoretically. Anyway, they start arguing about the uncertainty principle, and I'm just sitting there thinking, 'If only relationships had a Heisenberg compensator!' It would save a lot of awkward conversations. But hey, let's not dwell on my dating life - we've got some mind-bending physics to dive into today. Brace yourselves for a journey through the quantum realm, where even my relationship status is in a superposition of 'single' and 'it's complicated!'" Feel free to adapt it to your context or audience!

14:25 Scaredxcited

great video brother , Can i have the documentation of this project .

Can you make yolov4 darknet