PyImageSearch University Complete Bundle 2023 | E9C2B4D91A74174004BC391355C5AF2D1B8DE613

PyImageSearch University Complete Bundle 2023

Name	PyImageSearch University - Complete Bundle (7.2023)	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	39.9 GB
Total Files	160
Last Seen	2025-07-18 23:13
Hash	E9C2B4D91A74174004BC391355C5AF2D1B8DE613

/01 OpenCV 101 - OpenCV Basics/
1.Loading and Displaying Images.mp4	24.2 MB
2.Getting and Setting Pixels.mp4	14.6 MB
3.Drawing with OpenCV.mp4	17.3 MB
4.Translation.mp4	37.7 MB
5.Rotation.mp4	24.3 MB
6.Resizing.mp4	7.2 MB
7.Flipping.mp4	33.5 MB
8.Cropping.mp4	26.8 MB
9.Image Arithmetic.mp4	20.3 MB
10.Bitwise Operations.mp4	37.0 MB
11.Masking.mp4	36.1 MB
12.Splitting and Merging Channels.mp4	34.5 MB
/02 OpenCV 102 - Basic Image Processing Operations/
1.Kernels.mp4	86.8 MB
2.Morphological Operations.mp4	24.5 MB
3.Smoothing and Blurring.mp4	32.4 MB
4.Color Spaces.mp4	47.5 MB
5.Basic Thresholding.mp4	37.3 MB
6.Adaptive Thresholding.mp4	35.2 MB
7.Image Gradients.mp4	27.6 MB
8.Edge Detection.mp4	47.9 MB
9.Automatic Edge Detection.mp4	48.6 MB
/03 OpenCV 104 - Histograms/
1.Image Histograms.mp4	69.4 MB
2.Histogram and Adaptive Histogram Equalization.mp4	91.6 MB
3.Histogram Matching.mp4	38.6 MB
4.Gamma Correction.mp4	57.5 MB
5.Automatic Color Correction.mp4	57.8 MB
6.Detecting Low Contrast Images.mp4	81.1 MB
/04 Face Applications 101 - Face Detection/
1.Face Detection with Haar Cascades.mp4	35.5 MB
2.Deep Learning Face Detection with OpenCV.mp4	75.1 MB
3.Deep Learning Face Detection with Dlib.mp4	57.0 MB
4.Choosing a Face Detection Method.mp4	86.3 MB
/05 Face Applications 102 - Fundamentals of Facial Landmarks/
1.Facial Landmarks with Dlib and and OpenCV.mp4	43.0 MB
2.Detecting Eyes, Nose, Lips, and Jaw with OpenCV.mp4	54.8 MB
3.Real-time Facial Landmark Detection.mp4	53.8 MB
4.5-point Facial Landmark Detection.mp4	78.6 MB
/06 Face Recognition 101 - Fundamentals of Facial Recognition/
1.What Is Face Recognition#.mp4	103.2 MB
2.Face Recognition with Local Binary Patterns.mp4	82.6 MB
3.OpenCV Eigenfaces for Face Recognition.mp4	34.1 MB
/07 Augmented Reality 101 - Fiducials and Markers/
1.AprilTag Detection.mp4	97.2 MB
2.Generating ArUco Markers with OpenCV.mp4	110.1 MB
3.Detecting ArUco Markers with OpenCV.mp4	86.2 MB
4.Automatically Determining ArUcO Marker Type.mp4	94.0 MB
5.Augmented Reality with ArUco Markers.mp4	85.2 MB
6.Real-time Augmented Reality with OpenCV.mp4	113.6 MB
/08 Deep Learning 101 - Neural Networks and Parameterized Learning/
1.What is Deep Learning#.mp4	23.7 MB
2.Image Classification Basics.mp4	60.3 MB
3.The Deep Learning Classification Pipeline.mp4	12.6 MB
4.Your First Image Classifier# Using k-NN to Classify Images.mp4	18.8 MB
5.Parameterized Learning and Neural Networks.mp4	27.3 MB
/09 Deep Learning 102 - Optimization Methods and Regularization/
1.Understanding and Implementing Gradient Descent.mp4	42.4 MB
2.Stochastic Gradient Descent (SGD).mp4	36.7 MB
3.Gradient Descent Algorithms and Variations.mp4	65.8 MB
4.Regularization Techniques.mp4	90.4 MB
/10 - Deep Learning 103 - Neural Network Fundamentals/
1.Introduction to Neural Networks.mp4	22.8 MB
2.Implementing the Perceptron Neural Network with Python.mp4	37.4 MB
3.Backpropagation from Scratch with Python.mp4	85.3 MB
4.Implementing Feedforward Neural Networks with Keras and TensorFlow.mp4	139.6 MB
5.The 4 Key Ingredients When Training Any Neural Network.mp4	67.4 MB
6.Understanding Weight Initialization for Neural Networks.mp4	22.8 MB
/11 - Deep Learning 104 — Convolutional Neural Networks (CNNs)/
00001.mp4	506.0 MB
00002.mp4	648.6 MB
00003.mp4	177.9 MB
/12 - Deep Learning 105 — Hands-on Experience with CNNs/
00001.mp4	951.7 MB
00002.mp4	305.3 MB
00003.mp4	396.3 MB
00004.mp4	537.0 MB
00005.mp4	670.0 MB
00006.mp4	230.8 MB
00007.mp4	460.6 MB
00008.mp4	1.4 GB
00009.mp4	698.1 MB
/12 - Deep Learning 120 - Regression with CNNs/
1.Regression with Neural Networks.mp4	84.6 MB
2.Regression with CNNs.mp4	99.9 MB
3.Combining Categorical, Numerical, and Image Data Into a Single Neural Network.mp4	93.5 MB
/13 - Deep Learning 125 — Data Pipelines with tf.data/
00001.mp4	908.9 MB
00002.mp4	712.7 MB
00003.mp4	912.8 MB
/14 Deep Learning 130 - Hyperparameter Tuning/
1.Introduction to Hyperparameter Tuning.mp4	72.5 MB
2.Hyperparameter Tuning for Computer Vision Projects.mp4	59.6 MB
3.Using scikit-learn to Tune Deep Learning Model Hyperparameters.mp4	56.1 MB
4.Easy Hyperparameter Tuning with Keras Tuner.mp4	93.2 MB
/15 PyTorch 101 — Fundamentals of PyTorch/
00001.mp4	536.2 MB
00002.mp4	749.4 MB
00003.mp4	1.1 GB
00004.mp4	409.1 MB
00005.mp4	537.3 MB
/16 PyTorch 102 — Intermediate PyTorch for CV techniques/
00001.mp4	765.0 MB
00002.mp4	1.6 GB
00003.mp4	215.7 MB
/17 PyTorch 103 - Advanced PyTorch techniques/
00001.mp4	194.4 MB
00002.mp4	203.6 MB
00003.mp4	1.9 GB
/18 Autoencoders 101 - Intro to Autoencoders/
1.Autoencoders with Keras and TensorFlow.mp4	84.8 MB
2.Denoising Autoencoders with Keras and TensorFlow.mp4	102.3 MB
3.Anomaly Detection with Autoencoders.mp4	52.1 MB
4.Autoencoders for Content-based Image Retrieval (CBIR).mp4	93.9 MB
/19 Siamese Networks 101 - Intro to Siamese Networks/
1.Building Image Pairs for Siamese Networks.mp4	126.5 MB
2.Implementing Your First Siamese Network with Keras and TensorFlow.mp4	88.4 MB
3.Comparing Images for Similarity with Siamese Networks.mp4	128.8 MB
4.Improving Accuracy with Contrastlive Loss.mp4	212.6 MB
/20 Image Adversaries 101 - Intro to Image Adversaries/
1.Adversarial Images and Attacks with Keras and TensorFlow.mp4	114.3 MB
2.Targeted Adversarial Attacks with Keras and TensorFlow.mp4	97.3 MB
3.Adversarial Attacks with FGSM (Fast Gradient Signed Method.mp4	72.2 MB
4.Defending Against Adverserial Attacks.mp4	166.4 MB
5.Mixing Normal Images and Adversarial Images when Training CNNs.mp4	92.6 MB
/21 Object Detection 101 - Easy Object Detection/
1.Shape Detection with OpenCV.mp4	65.0 MB
2.Template Matching with OpenCV.mp4	73.9 MB
3.Multi-template Matching.mp4	61.8 MB
4.Multi-scale Template Matching.mp4	84.9 MB
5.Haar Cascades with OpenCV.mp4	51.3 MB
6.Deep Learning Object Detectors with OpenCV.mp4	51.0 MB
7.Real-time Deep Learning Object Detection with OpenCV.mp4	56.2 MB
/22 Object Detection 201 - Fundamentals of Deep Learning Object Detection/
1.Turning Any Deep Learning Image Classifier into an Object Detector.mp4	221.2 MB
2.Selective Search for Object Detection.mp4	102.2 MB
3.Region Proposal Object Detection.mp4	70.2 MB
4.Training Your Own R-CNN Object Detector.mp4	178.2 MB
/23 Object Detection 202 - Bounding Box Regression/
1.Bounding Box Regression.mp4	91.8 MB
2.Multi-class Bounding Box Regression.mp4	146.2 MB
/24 OCR 101 — Fundamentals of Optical Character Recognition/
00001.mp4	340.2 MB
00002.mp4	202.1 MB
00003.mp4	301.1 MB
/25 OCR 110 — Using Tesseract for Translation and Non-English Languages/
00001.mp4	136.4 MB
00002.mp4	236.0 MB
00003.mp4	235.4 MB
00004.mp4	237.2 MB
00005.mp4	469.7 MB
/26 OCR 210 — EasyOCR, Aligning Documents, and OCR'ing Documents/
00001.mp4	380.9 MB
00002.mp4	630.4 MB
00003.mp4	811.9 MB
/Extras/
Esses cursos não possuem ordem no site oficial.txt	0.0 KB
/.../Deep Learning 106 — Improving Accuracy of CNNs/
00001.mp4	126.9 MB
00002.mp4	317.8 MB
00003.mp4	181.8 MB
/.../Deep Learning 107 — Basic Real-world Projects/
00001.mp4	321.8 MB
00002.mp4	129.3 MB
00003.mp4	348.5 MB
00004.mp4	236.9 MB
/.../Deep Learning 301 — Advanced Topics/
00001.mp4	201.1 MB
00002.mp4	294.3 MB
00003.mp4	1.1 GB
/Extras/GANs 101/
00001.mp4	371.4 MB
00002.mp4	722.8 MB
00003.mp4	445.2 MB
00004.mp4	784.4 MB
/Extras/GANs 201/
00001.mp4	781.2 MB
/Extras/OCR 120/
00001.mp4	1.1 GB
00002.mp4	443.8 MB
00003.mp4	168.1 MB
00004.mp4	501.2 MB
00005.mp4	654.7 MB
/Extras/OCR 130/
00001.mp4	127.3 MB
00002.mp4	73.4 MB
00003.mp4	173.5 MB
00004.mp4	224.3 MB
/Extras/OCR 201/
00001.mp4	223.9 MB
00002.mp4	474.7 MB
/Extras/OCR 220/
00001.mp4	342.2 MB
00002.mp4	530.8 MB
00003.mp4	140.1 MB
00004.mp4	296.5 MB
Total files 160