This channel will contain tutorial videos regarding deep learning and computer vision concepts and implementation using Tensorflow, PyTorch in Python. In addition, state-of-the-art applications of deep learning implemented in MATLAB. We will be also using the embedded deployment of deep learning algorithms using embedded system solutions like Jetson Xavier, TX2, Nano, and Raspberry Pi, and many others.
I am a Ph.D. student in a reputed university in South Korea.
I will try my best to bring some latest concepts and programming tutorials that can improve user skills.
Sir, my camera is not opening after execution of code its only giving output in form of data . for example:- 1/1 [==============================] - 0s 41ms/step 1/1 [==============================] - 0s 39ms/step 1/1 [==============================] - 0s 45ms/step face not detected 1/1 [==============================] - 0s 36ms/step 1/1 [==============================] - 0s 34ms/step sir , how to deal with it pls reply
you shouldnt use google colab if you are planning to do real time classification since it wont be able to connect to your webcam. if you are not doing real time classification you should keep the original 48x48 images to reduce the usage of your memory but make sure your input layer for your model is accepting the 48x48 shape. you can also use float32 instead of float64 when converting your images to numpy array
At the end of the video you run it and it reads your emotion in real time. Does any part of the code in the video actually for it to detect emotion in real time?
Hello sir at 32:00 min of video,after downloading the dataset,again you are creating "Training" folder.Do we need to extract the all "train" files of archive into training folder
Thanks! This was really helpful! Could you please do a video on generating Transcription of a speech or an interview in English? Saw a couple of such videos but those were clumsy or didn't work.
can anyone please guide, how to resolve the exception error. --------------------------------------------------------------------------- error Traceback (most recent call last) error: OpenCV(4.9.0) D:\a\opencv-python\opencv-python\opencv\modules\dnn\src\tensorflow\tf_io.cpp:42: error: (-2:Unspecified error) FAILED: ReadProtoFromBinaryFile(param_file, param). Failed to parse GraphDef file: frozen_inference_graph.pb in function 'cv::dnn::ReadTFNetParamsFromBinaryFileOrDie' The above exception was the direct cause of the following exception: SystemError Traceback (most recent call last) Cell In[14], line 1 ----> 1 model = cv2.dnn_DetectionModel(frozen_model,config_file) SystemError: <class 'cv2.dnn.DetectionModel'> returned a result with an exception set
@DeepLearning_by_PhDScholar Thank you for your suggestion. We are finding it hard to create folders of open_eyes and Closed_eyes because main dateset contains both of them in each folder. Is it possible for you to share just the open_eyes and closed_eyes dataset.
