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CASIS Short Course
OpenCV 101: A Practical Guide to the Open Computer Vision Library
Matt Rever, LLNL

This course will provide a pragmatic, hands-on introduction to OpenCV suitable for any engineers or scientists who work with images and/or videos and wish to add a variety of classical and state-of-the-art vision algorithms to their toolbox.

August 15 • 18 • 22 • 25
Brownbag Session from noon – 1:30 pm
Edward Teller Education Center at LLNL (B6675)

For more information on this short course, please contact Randy Roberts.

Videos

Agendas

August 15

• Introduction to OpenCV
  • What is OpenCV?
  • What can it do?
  • Who uses it?
  • Why we should use it
• Learning resources
  • Web resources
  • Books
• Digression: Python
  • Advantages of Python
  • Installing Anaconda
  • Introduction to IPython/Jupyter Notebooks
• Installing OpenCV onto Anaconda Python
• Getting started using OpenCV
  • Loading images of different formats
  • Displaying images
  • Basic filtering operations
  • Saving images
  • Colorspaces (cover RGB<->BGR gotcha, HSV)

August 18

• OpenCV in Python and NumPy
• Digression: working with NumPy arrays
• Essential operations
  • Reading and editing pixel values
  • Retrieving and understanding image dimensions
  • Working with Regions-of-Interest
  • Channels: Splitting and merging
  • Adding, subtracting, and blending images
  • Overview of mathematical tools (FFT, SVD/PCA)
• Filtering and morphological operations
• Lowpass/smoothing filters
• Highpass/edge-detection filters
• Adaptive thresholding
• Erosion/dilation
• Floodfilling
• GUI Features
  • Creating windows
  • Getting keyboard input
  • Using the mouse
• Inpainting demo

August 22

• Template matching
• Image segmentation
  • Watershed algorithm
  • GrabCut
• Image transformations
  • Translation/rotation/scaling
  • Affine and perspective transforms
• Features
  • Finding lines and circles with the Hough Transform
  • Corner detections (ie Harris)
  • Advanced features: SURF/SIFT, BRIEF/ORB, HoG
• Demo: feature-matching to compute homography between images

August 25

• Working with video
  • Loading videos of various format
  • Playing/controlling videos
  • Extracting frames
  • Saving videos
• Video analysis and object tracking
  • Meanshift and Camshift tracking
  • Background subtraction
  • Kalman filtering
  • Optical flow
• Machine learning
  • Overview of ML
  • Supervised vs unsupervised learning
  • Using OpenCV's support-vector-machine methods
  • Demo: Handwritten digit classification
  • Dimensionality reduction/PCA
  • Clustering (K-means)
  • Human face detection and identification

The venue used for the CASIS short course is owned by the Department of Energy and operated by Lawrence Livermore National Security, LLC. We use this venue because it is free to us, and it allows us to keep the seminar free of registration fees. For most foreign nationals, access is granted to those with a passport or similar government-issued identification. However, our venue does not allow access to foreign nationals who are citizens of countries on the State Department's list of State Sponsors of Terrorism. We regret any inconvenience that this might cause, but we are required to follow the rules of our venue.

OpenCV (The Open Computer Vision Library) is an industrial-grade suite of over 2500 routines for vision, image processing, and machine learning. Its algorithms provide methods for tracking and identifying objects (including humans), image alignment/registration, tracking camera motion, 3D model reconstruction, imaged-based searching, and much more, with applications in manufacturing, scientific research, security, medicine and beyond. As implied by the name, it is open-source, and it is free to use for any purpose. Moreover, OpenCV is multiplatform, supporting Windows, Mac OS, Linux, Android, and iOS. Though it is natively in C++, robust interfaces have been developed for Python, Java, Matlab, and other common languages.

This course will provide a pragmatic, hands-on introduction to OpenCV suitable for any engineers or scientists who work with images and/or videos and wish to add a variety of classical and state-of-the-art vision algorithms to their toolbox. A wise use of time mac os. Topics will include but are not limited to: installation and getting started with OpenCV, essential Python and NumPy (used in the course), loading/filtering/displaying/saving images, GUI features, morphological operations, feature finding, image transforms/registration, video analysis and object tracking, and basic machine learning for handwritten digit recognition and human face detection.

Take Highway 580 towards Livermore from any of the surrounding areas.

• Take the Greenville Avenue exit.
• From I-580 EAST, turn left at the stop sign.
• From I-580 West, stay to the right.
• Turn right at Greenville Avenue.
• Turn right at Eastgate Drive, at the Laboratory's east entrance.
• Turn right into the Department of Applied Science parking lot, before the guard gate.
• ETEC is B6675.

It is assumed that the participant will have essential programming skills in a general purpose or numerical language. Some experience with numerical arrays (preferably 2D arrays/images) will be expected. Python will be used in the course, but it is not necessary to know it beforehand. Matlab experience, for example, would be sufficient.

• Introduction to OpenCV
  • What is OpenCV?
  • What can it do?
  • Who uses it?
  • Why we should use it
• Learning resources
  • Web resources
  • Books
• Digression: Python
  • Advantages of Python
  • Installing Anaconda
  • Introduction to IPython/Jupyter Notebooks
• Installing OpenCV onto Anaconda Python
• Getting started using OpenCV
  • Loading images of different formats
  • Displaying images
  • Basic filtering operations
  • Saving images
  • Colorspaces (cover RGB<->BGR gotcha, HSV)

• OpenCV in Python and NumPy
• Digression: working with NumPy arrays
• Essential operations
  • Reading and editing pixel values
  • Retrieving and understanding image dimensions
  • Working with Regions-of-Interest
  • Channels: Splitting and merging
  • Adding, subtracting, and blending images
  • Overview of mathematical tools (FFT, SVD/PCA)
• Filtering and morphological operations
• Lowpass/smoothing filters
• Highpass/edge-detection filters
• Adaptive thresholding
• Erosion/dilation
• Floodfilling
• GUI Features
  • Creating windows
  • Getting keyboard input
  • Using the mouse
• Inpainting demo

• Template matching
• Image segmentation
  • Watershed algorithm
  • GrabCut
• Image transformations
  • Translation/rotation/scaling
  • Affine and perspective transforms
• Features
  • Finding lines and circles with the Hough Transform
  • Corner detections (ie Harris)
  • Advanced features: SURF/SIFT, BRIEF/ORB, HoG
• Demo: feature-matching to compute homography between images

• Working with video
  • Loading videos of various format
  • Playing/controlling videos
  • Extracting frames
  • Saving videos
• Video analysis and object tracking
  • Meanshift and Camshift tracking
  • Background subtraction
  • Kalman filtering
  • Optical flow
• Machine learning
  • Overview of ML
  • Supervised vs unsupervised learning
  • Using OpenCV's support-vector-machine methods
  • Demo: Handwritten digit classification
  • Dimensionality reduction/PCA
  • Clustering (K-means)
  • Human face detection and identification

/Mac Tips /How to Remove EXIF Data from Photos on Mac Quickly?

If your photos circulate on social media, anyone can download them and access EXIF data. Details about time, location, and device used to capture a photo are saved automatically by a Smartphone or digital camera as EXIF (Exchangeable Image File Format).

To ensure you don't spill the beans when sharing files and uploading photos, you've to excise some of the data. Facebook and other social media sites automatically cut out sensitive data such as GPS but you end up exposing yourself to these services.

Consumer protection reports recommend youremove EXIF data on Macyourself. With EXIF-scrubbing capabilities in Mac OS X Yosemite, everything can be done by a wink and a nod.

Article GuidePart 1. How to View, Edit, and Remove EXIF Data from Your FilesPart 2. How to Delete Metadata from Your FilesPart 3. Other Alternatives to Remove EXIF Data on Mac

People Also Read:How to Check out and Remove Your Siri History on Your Mac OS?How to Remove Saved Passwords on MacBoost Your Mac: Purging Chrome User Data Cauldron caller mac os.

Part 1. How to View, Edit, and Remove EXIF Data from Your Files

Location of EXIF Data on Mac

On macOS, the Photos app goes the extra mile to let you view and erase EXIF data from your photos. However, you cannot edit or wipe out all aspects of EXIF data. Simply revoke the camera app's mining of device's GPS coordinates to safeguard your digital privacy entirely.

1. On your Mac, launch a photo in Preview and choose Show Inspector from the Tools menu.
2. If a file has EXIF data, a tab labeled Exif thrusts into view.
3. Where location or geo-data exists, Preview splits it off into a separate tab known as GPS. It has a Remove Location Info option to nuke these pieces of data.

This method erases geo-data but leaves traces of EXIF data such as exposure settings or time you captured the image. However, you can wipe away that information with foolproof methods below before sharing an image.

Re-Edit Time & Disable Location

The venue used for the CASIS short course is owned by the Department of Energy and operated by Lawrence Livermore National Security, LLC. We use this venue because it is free to us, and it allows us to keep the seminar free of registration fees. For most foreign nationals, access is granted to those with a passport or similar government-issued identification. However, our venue does not allow access to foreign nationals who are citizens of countries on the State Department's list of State Sponsors of Terrorism. We regret any inconvenience that this might cause, but we are required to follow the rules of our venue.

OpenCV (The Open Computer Vision Library) is an industrial-grade suite of over 2500 routines for vision, image processing, and machine learning. Its algorithms provide methods for tracking and identifying objects (including humans), image alignment/registration, tracking camera motion, 3D model reconstruction, imaged-based searching, and much more, with applications in manufacturing, scientific research, security, medicine and beyond. As implied by the name, it is open-source, and it is free to use for any purpose. Moreover, OpenCV is multiplatform, supporting Windows, Mac OS, Linux, Android, and iOS. Though it is natively in C++, robust interfaces have been developed for Python, Java, Matlab, and other common languages.

This course will provide a pragmatic, hands-on introduction to OpenCV suitable for any engineers or scientists who work with images and/or videos and wish to add a variety of classical and state-of-the-art vision algorithms to their toolbox. A wise use of time mac os. Topics will include but are not limited to: installation and getting started with OpenCV, essential Python and NumPy (used in the course), loading/filtering/displaying/saving images, GUI features, morphological operations, feature finding, image transforms/registration, video analysis and object tracking, and basic machine learning for handwritten digit recognition and human face detection.

Take Highway 580 towards Livermore from any of the surrounding areas.

• Take the Greenville Avenue exit.
• From I-580 EAST, turn left at the stop sign.
• From I-580 West, stay to the right.
• Turn right at Greenville Avenue.
• Turn right at Eastgate Drive, at the Laboratory's east entrance.
• Turn right into the Department of Applied Science parking lot, before the guard gate.
• ETEC is B6675.

It is assumed that the participant will have essential programming skills in a general purpose or numerical language. Some experience with numerical arrays (preferably 2D arrays/images) will be expected. Python will be used in the course, but it is not necessary to know it beforehand. Matlab experience, for example, would be sufficient.

• Introduction to OpenCV
  • What is OpenCV?
  • What can it do?
  • Who uses it?
  • Why we should use it
• Learning resources
  • Web resources
  • Books
• Digression: Python
  • Advantages of Python
  • Installing Anaconda
  • Introduction to IPython/Jupyter Notebooks
• Installing OpenCV onto Anaconda Python
• Getting started using OpenCV
  • Loading images of different formats
  • Displaying images
  • Basic filtering operations
  • Saving images
  • Colorspaces (cover RGB<->BGR gotcha, HSV)

• OpenCV in Python and NumPy
• Digression: working with NumPy arrays
• Essential operations
  • Reading and editing pixel values
  • Retrieving and understanding image dimensions
  • Working with Regions-of-Interest
  • Channels: Splitting and merging
  • Adding, subtracting, and blending images
  • Overview of mathematical tools (FFT, SVD/PCA)
• Filtering and morphological operations
• Lowpass/smoothing filters
• Highpass/edge-detection filters
• Adaptive thresholding
• Erosion/dilation
• Floodfilling
• GUI Features
  • Creating windows
  • Getting keyboard input
  • Using the mouse
• Inpainting demo

• Template matching
• Image segmentation
  • Watershed algorithm
  • GrabCut
• Image transformations
  • Translation/rotation/scaling
  • Affine and perspective transforms
• Features
  • Finding lines and circles with the Hough Transform
  • Corner detections (ie Harris)
  • Advanced features: SURF/SIFT, BRIEF/ORB, HoG
• Demo: feature-matching to compute homography between images

• Working with video
  • Loading videos of various format
  • Playing/controlling videos
  • Extracting frames
  • Saving videos
• Video analysis and object tracking
  • Meanshift and Camshift tracking
  • Background subtraction
  • Kalman filtering
  • Optical flow
• Machine learning
  • Overview of ML
  • Supervised vs unsupervised learning
  • Using OpenCV's support-vector-machine methods
  • Demo: Handwritten digit classification
  • Dimensionality reduction/PCA
  • Clustering (K-means)
  • Human face detection and identification

/Mac Tips /How to Remove EXIF Data from Photos on Mac Quickly?

If your photos circulate on social media, anyone can download them and access EXIF data. Details about time, location, and device used to capture a photo are saved automatically by a Smartphone or digital camera as EXIF (Exchangeable Image File Format).

To ensure you don't spill the beans when sharing files and uploading photos, you've to excise some of the data. Facebook and other social media sites automatically cut out sensitive data such as GPS but you end up exposing yourself to these services.

Consumer protection reports recommend youremove EXIF data on Macyourself. With EXIF-scrubbing capabilities in Mac OS X Yosemite, everything can be done by a wink and a nod.

Article GuidePart 1. How to View, Edit, and Remove EXIF Data from Your FilesPart 2. How to Delete Metadata from Your FilesPart 3. Other Alternatives to Remove EXIF Data on Mac

People Also Read:How to Check out and Remove Your Siri History on Your Mac OS?How to Remove Saved Passwords on MacBoost Your Mac: Purging Chrome User Data Cauldron caller mac os.

Part 1. How to View, Edit, and Remove EXIF Data from Your Files

Location of EXIF Data on Mac

On macOS, the Photos app goes the extra mile to let you view and erase EXIF data from your photos. However, you cannot edit or wipe out all aspects of EXIF data. Simply revoke the camera app's mining of device's GPS coordinates to safeguard your digital privacy entirely.

1. On your Mac, launch a photo in Preview and choose Show Inspector from the Tools menu.
2. If a file has EXIF data, a tab labeled Exif thrusts into view.
3. Where location or geo-data exists, Preview splits it off into a separate tab known as GPS. It has a Remove Location Info option to nuke these pieces of data.

This method erases geo-data but leaves traces of EXIF data such as exposure settings or time you captured the image. However, you can wipe away that information with foolproof methods below before sharing an image.

Re-Edit Time & Disable Location

1. Launch Photos on Mac.
2. Click the image you wish to edit.
3. Click the i button on your upper right. Here you can access EXIF data in the image, enter a description or keywords.
4. To remove the GPS coordinates from an image, click Image in the upper bar and then tapping Location> Hide Location.
5. You can also re-edit the date or time on the file by hitting Image> Adjust date and time. Tweak GPS data and then choose Adjust.

Tip: An overloaded Photo Library will hog down system memory and slow down performance. iMyMac PowerMyMac does exactly as its name sounds-it maintains a neat and nippy Mac for peak performance. Strip the junk from your computer with incisive algorithms developed for caches, traces of uninstalled programs, caches, large or obsolete files, and Mail attachments.

Importantly, it detects photo duplicates and redundant content giving you a preview option before erasing. If you neglect your Mac and allow junk to usurp precious slots of space, all processes including launching a file or transferring mass items become sluggish and unpredictable.

Part 2. How to Delete Metadata from Your Files

Hog: Hands On Goblins Mac Os Update

Third-Party Tools

Free apps annihilate EXIF data completely making third-party tool indispensable for some users. Powerful metadata-removal tools expurgate GPS data and other details from multiple files simultaneously. Another option for eliminating location data from photos is to use an online, free service. Click on the Choose File bar, scroll to and tap an image, and then click Open. You can either erase the EXIF data or view it in a click of a button.

Downloadable apps include all bells and whistles such as multi-file selection and deletion. For optimum control over the process, capitalize on these features. They allow you to manipulate file size at the behest of image quality or simply excise metadata without distorting appearance.

Microsoft Documents

Microsoft provides the free Document Inspector for nuking personal or sensitive data before you share an Office file. The Microsoft Support site has a wealth of information on deleting metadata from Word, Excel and PowerPoint. Go to their site and follow guidelines for your app version to hide troves of metadata.

Adobe

Adobe's Help site sheds light on how to remove metadata from your PDFs in either Acrobat X Pro or Acrobat X Standard. The site provides a clear step-by-step guide for expunging metadata or surreptitious content from files with the Examine Document feature in Acrobat 9. You'll only need specific instructions for your software package to pull off this trick.

Part 3. Other Alternatives to Remove EXIF Data on Mac

Location from iPhone or iPad

iPhone or iPad location services settings resolve your privacy woes more straightforwardly. To deactivate location services for the camera, go to Settings > Privacy> Location services and turn off Camera. Instructions to toggle off these devices vary with the model. On some Androids, camera apps include pre-installed GPS setting.

Take a Screenshot

One of the easiest techniques to remove data before sharing a photo is to capture a screenshot of the image and disseminate that instead. Screenshots don't include the type of sensitive metadata retained by a camera.

Email Metadata

Email metadata sticks out like a sore thumb but deleting is almost impossible. Just go to header information in Gmail message and access metadata embedded to your mail. Without computing knowhow, deciphering the metadata can be challenging. Unfortunately, your hands are tied and you cannot substantially manipulate the metadata attached to your email.

You can only disable location services or remove EXIF from the files you attach to messages. Unlike social networking sites, email or cloud storage services such as Dropbox do not wipe away EXIF when you upload files.

Hog: Hands On Goblins Mac Os Download

Final Thoughts

Mospop mac os. Photos can incorporate hidden pieces of data such as time and the exact GPS coordinates. When you capture an image with a digital camera and a phone, EXIF may travel with the file in a split second across the globe. Thankfully, Instagram and Facebook, the most frequently used photo-sharing platforms whittle down-sensitive strands of information.

For Mac users, you can obliterate EXIF data by previewing and selecting inspector from the tools menu. EXIF-removal tools allow you to wipe out metadata from multiple files at once. With the click of a button, you can purge the camera, location or other technical data from a batch of images embedded by the device or the photo-editing software.

Hog: Hands On Goblins Mac Os Catalina

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