Скачать с ютуб Deep Learning with OpenCV DNN Module | Full Course | 3 hours в хорошем качестве

Deep Learning with OpenCV DNN Module | Full Course | 3 hours

This is the most detailed course on Deep Learning using OpenCV’s DNN module out there, yes a complete 3-hour course that takes you from no background in DNN module, and teaches you all about it, including how to train custom classifiers and custom object detectors in TensorFlow and then deploy it in OpenCV module. You’ll also learn all the nitty-gritty details about this module in the course. Download Code: https://app.monstercampaigns.com/c/zo... Join for the Computer Vision Course: https://bleedaiacademy.com/computer-v... Blogpost for Each Section: Section 1: https://bleedaiacademy.com/deep-learn... Section 2: https://bleedaiacademy.com/training-a... Section 3: https://bleedaiacademy.com/training-a... If you want us to create AI and computer vision solutions for you, then reach out to us here: https://bleedai.com/services/ -------------------------------------------------------------------------------------------------------------------------------------------------------------- 00:00 Intro 01:08 Introduction to OpenCV's Deep Neural Network Module 01:45 What are the Benefits 03:39 A Bummer that You Must Know About 04:01 So Which Frameworks can be Used to Train Neural Networks? 05:22 Section 1 - Image Classification with DenseNet121 06:04 Import the Libraries 06:15 Load the Class Labels 08:05 Extract the Label 08:36 Initialize the DNN Module 11:48 Read an Image 12:19 Pre-process an Image 18:53 Input the Blob Image to the Network 19:12 Forward Pass 21:48 Apply Softmax Function to get Probabilities 25:27 Create Functions 26:57 Initialization Function 28:05 Classification Function 29:31 Initialize the Classifier 29:34 Classify Images Using the Function 30:12 Perform Real-Time Image Classification 32:55 Important Details Regarding the DNN Module 37:49 Section 2 - Training Custom Image Classifier with Tensorflow, Converting to ONNX and using it in OpenCV DNN module 38:48 (Part 1) Training a Custom Image Classifier with Tensorflow 38:51 Import the Libraries 42:07 Download and Unzip the Dataset folder 43:52 Check the number of images in each class 45:19 Generate Images 01:01:10 Visualize Images 01:04:11 Create the model 01:11:11 compile the model 01:11:13 Model Summary 01:19:28 Train The Model 01:23:22 Visualize Training Results 01:24:15 Test on new Examples 01:28:33 Save your model to Disk 01:29:29 (Part2) Converting Our Classifier to ONNX format 01:33:16 (Part 3) Using the ONNX model in the OpenCV DNN module 01:38:26 Create Functions 01:38:26 Initialization Function 01:38:36 Classification Function 01:42:32 Section 3 - Training Object Detector with Tensorflow Object Detection API 01:52:02 (Part 1) Environmental Setup 01:52:32 (Part 2) Installation & TFOD API Setup 01:55:11 Import Required Libraries 01:55:29 Clone Tensorflow Object Detection Model Repository 01:57:25 Install Tensorflow Object Detection API & Compile Protos 02:01:16 You can Check your installation of TFOD API by Running model_builder_test.py 02:02:06 Download the Support Folder required to run this Notebook 02:03:05 (Part 3) Data Collection & Annotation 02:04:41 Step 1: Download Youtube Video 02:05:49 Step 2: Split Video Frames and store it 02:12:55 Step 3: Annotate Images with labelImg 02:19:26 Step 4: Create a label Map file 02:21:04 Step 5: Generate TFrecords 02:39:09 (Part 4) Downloading Model & Configure it 02:39:09 (Part 5) Training and Exporting Inference Graph -------------------------------------------------------------------------------------------------------------------------------------------------------------- If you enjoyed this video then don't forget to subscribe and like this video. 🎇 Subscribe to this Channel: https://bit.ly/Bleedsub 🎇 Subscribe to Bleed AI Blog: https://bleedaiacademy.com/subscribe/ 🎇Check out our Courses: https://bleedaiacademy.com/courses/ Follow Bleed AI for more 👣 : ◼ Website: https://bleedaiacademy.com/ ◼ Facebook Page:   / bleedaiacademyy   ◼ Linkedin:   / bleedaiacademy   ◼ Instagram:   / bleedaiacademy   ◼ Twitter:   / bleedaiacademy   ◼ Patreon:   / bleedai   #imageclassification #objectdetection #deeplearning #crashcourse #opencv #tensorflow