Complete Python Course with OpenCV 4 Computer Vision

Complete Python Course with OpenCV 4 Computer Vision

 

This is a complete Python Course with OpenCV 4 Computer Vision, you can learn OpenCV 4 Computer Vision with Python. Outline of this Python Course with OpenCV 4 Computer Vision is written below…

 

Complete Python Course with OpenCV 4 Computer Vision Outline:

 

01.IO_AND_GUI

01.The_Course_Overview.
02.Installation_and_Setup.
03.Reading_Images_from_Files.
04.Simple_Image_Transformations.
05.Saving_the_Images.
06.Showing_the_Images.
07.Drawing_2D_Primitives.
08.Handling_User_Input_from_a_Keyboard.
09.Handling_User_Input_from_a_Mouse.
10.Capturing_and_Showing_Frames_from_a_Camera.
11.Playing_Frame_Stream_from_Video.

02.Matrices,_Colors,_and_Filters

01.Manipulating_Matrices-Creating,_Filling,_Accessing_Elements,_and_ROIs.
02.Converting_between_Different_Data_Types_and_Scaling_Values.
03.Non-Image_Data_Persistence_Using_NumPy.
04.Manipulating_Image_Channels.
05.Converting_Images_from_One_Color_Space_to_Another.
06.Computing_Image_Histograms.
07.Removing_Noise_Using_Gaussian,_Median,_and_Bilateral_Filters.
08.Creating_and_Applying_Your_Own_Filter.
09.Processing_Images_with_Different_Thresholds.
10.Morphological_Operators.
11.Image_Masks_and_Binary_Operations.

03.Contours_and_Segmentation

01.Binarization_of_Grayscale_Images_Using_the_Otsu_Algorithm.
02.Finding_External_and_Internal_Contours_in_a_Binary_Image.
03.Extracting_Connected_Components_from_a_Binary_Image.
04.Fitting_Lines_and_Circles_into_Two-Dimensional_Point_Sets.
05.Calculating_Image_Moments.
06.Checking_Whether_a_Point_is_Within_a_Contour.
07.Computing_Distance_Maps.
08.Image_Segmentation_Using_the_k-Means_Algorithm.

04.Image_Processing

01.Warping_an_Image_Using_Affin_and_Perspective_Transformations.
02.Stitching_Many_Images_into_Panorama.
03.Removing_Defects_from_a_Photo_with_Image_Inpainting.
04.Finding_Corners_in_an_Image_–_Harris_and_FAST.
05.Computing_Descriptors_for_Image_Key_Points_Using_ORB.

05.Object_Detection_and_Machine_Learning

01.Obtaining_an_Object_Mask_Using_the_GrabCut_Algorithm.
02.Finding_Edges_Using_the_Canny_Algorithm.
03.Detecting_Lines_and_Circles_Using_the_Hough_Transform.
04.Finding_Objects_via_Template_Matching.
05.Medial_Flow_Tracker.
06.Tracking_Objects_Using_Different_Algorithms_via_the_Tracking_API.
07.Computing_the_Dense_Optical_Flow_between_Two_Frames.
08.Detecting_Chessboard_and_Circle_Grid_Patterns.
09.Simple_Pedestrian_Detector_Using_the_SVM_Model.
10.Optical_Character_Recognition_Using_Different_Machine_Learning_Models.
11.Detecting_Faces_Using_Haar_Cascades.
12.Fast_QR_Code_Detector_and_Decoder.

06.Deep_Learning

01.Representing_Images_as_TensorsBlobs.
02.Loading_Deep_Learning_Models_Using_OpenCV__Caffe,_Torch_and_TensorFlow.
03.Preprocessing_Images_and_Inference_in_Convolutional_Networks.
04.Dataset_Collection_from_ImageNet.
05.Dataset_Annotation_with_LabelImg.
06.Dataset_Augmentation.
07.Classifying_Images_with_GoogleNetInception_and_ResNet_Models.
08.Detecting_Objects_with_the_Single_Shot_Detection_(SSD)_Model.
09.Segmenting_a_Scene_Using_the_Fully_Convolutional_Network_(FCN)_Model.

07.OpenVINO_Toolkit

01.Introduction_to_Open_Model_Zoo.
02.ONNX_(Open_Neural_Network_Exchange).
03.G-API_(Graph_API).
04.Age_and_Gender_Recognition.
05.Face_Detection_and_Emotion_Recognition.
06.Human_Detection.
07.Advanced_Applications_with_OpenVINO.

Exercise_Files

 

 

To Download this Complete Python Course with OpenCV 4 Computer Vision Click on Download button below…

 

Size   >>  486 MB

 

Download

 

 

 

Leave a Reply

Your email address will not be published. Required fields are marked *