1. Do not even attempt to connect to the app without doing the firmware update. Find them from FrugalJedi on YouTube or from the link in point 3. Once you do that, you won’t ever have an issue connecting, or at least I haven’t. Connection is rock solid and my edits always send.
   
2. SNV4 does take Proffie fonts, but some are more problematic than others. Kyberphonic, KSith, and Jaydalorian loaded immediately with no problems. BK Saber Sounds was tricky and took me a solid 2 hours to figure out: the high quality wav formats will not be read by the saber stock. This is something to do with being in a mono 32bit encode when it should be a 16bit. You’ll need to download audacity if and manually convert each file to this configuration for the sounds to play properly. I tried multiple other ways to get around this “busy work”. I tried converting the Xeno3, Golden Harvest to Proffie using the always wonderful SoundFontNamingConverter and that didn’t work. And neither did the convert audio function. Only when I manually changed the track using the audio editing software did these fonts work.
   
3. Please download the wonderful u/B0BA_F33TT ‘s SN-Pixel v4 2 style pack from here.
   

1. Download the upgraded voice pack from FrugalJedi. He’s put in the leg work and made the voice for the saber much more usable and friendly.

1. Using Custom Visuals from AppSource

1. Go to the Visualizations pane in Power BI Desktop.
2. Click on the three dots (…) and select “Get more visuals.”
3. Browse or search for the visual you need.
4. Add the visual to your report and configure it as required.

2. Creating Custom Visuals with R or Python

1. Enable R or Python scripting:
   • Go to File > Options and settings > Options > R scripting or Python scripting.
   • Set up the R or Python environment if you haven’t already.
2. Add a visual:
   • Click on R or Python visual from the Visualizations pane.
   • Write your R or Python script in the script editor. The script should generate a plot using libraries such as ggplot2 for R or matplotlib for Python.
3. Load data into the visual using the data fields, and Power BI will execute the script to render the visual.

3. Building Custom Visuals with Power BI Developer Tools

1. Set up the development environment:
   • Install Node.js and npm.
   • Install the Power BI Visuals Tools: npm install -g powerbi-visuals-tools.
2. Create a new visual project:
   • Use the command: pbiviz new to create a new custom visual project.
   • Navigate to the project directory: cd .
3. Develop the visual:
   • Modify the source code in the /src directory. You can use D3.js or any other JavaScript library to create your visual.
4. Test the visual:
   • Use pbiviz start to run a local server that allows you to test your visual in Power BI.
5. Package and deploy the visual:
   • Use pbiviz package to create a .pbiviz file.
   • Import this file into Power BI by selecting Import from file under the Visualizations pane.

4. Using Power BI Themes and Custom Formatting

1. Create a JSON theme file with custom color palettes and formatting options.
2. Import the theme into Power BI:
   • Go to Home > Switch Theme > Import Theme.
   • Select your JSON file to apply the custom theme to your report.

Best Practices for Creating Custom Visuals

• Plan your visualization: Understand the data and the story you want to tell. Sketch out your visual before starting the development.
• Use existing libraries: Leverage libraries like D3.js for JavaScript or ggplot2 for R to simplify development.
• Optimize performance: Ensure that your custom visuals are optimized for performance, especially when dealing with large datasets.
• Test thoroughly: Test your visuals in different scenarios and with various data to ensure they work as expected.
• Follow guidelines: Adhere to Power BI’s best practices and guidelines for custom visuals to ensure compatibility and usability

Least Loved Synthesizers

1. Roland EG-101
   • Described as a "horrific monstrosity" and often criticized for its design and functionality.
2. Cheetah MS800
   • Known for being "one of the most annoyingly complicated instruments on the planet," with only Aphex Twin managing to make an album using it.
3. Polymoog
   • Particularly the Polymoog Keyboard, which is criticized for its limited editing capabilities and being a "maintenance time bomb" due to its unreliability and complexity.
4. Beat Thang
   • A drum machine/sampler that is often described as a "total mess" and one of the ugliest pieces of hardware, with neon blue design that is hard on the eyes.
5. Korg Poly 800
   • Often mentioned as a synth that sounds worse than modern plug-ins, with users expressing regret over its purchase.
6. Korg EA-1 Electribe
   • Criticized for producing "awful noises" and being limited to basic subtractive synth sounds, with any attempt to tweak resulting in a "horrid shrill mess".
7. Roland MC-505
   • Users dislike the replacement of knobs and sliders with a giant touchpad called the "D-Field," and its bright orange color.
8. Mopho
   • Described as the "ugliest synth" due to its yellow rigs, uninspiring gray rectangles, and gaudy font, making it physically painful to look at.

Common Complaints

• Design and Aesthetics: Many synthesizers are criticized for their unattractive designs, such as the Mopho and Beat Thang.
• Complexity and Usability: Synths like the Cheetah MS800 and Polymoog are often mentioned for their complicated interfaces and maintenance issues.
• Sound Quality: Some synthesizers, like the Korg EA-1 Electribe and Korg Poly 800, are criticized for their poor sound quality compared to modern alternatives.
• Functionality: Synths like the Roland MC-505 are disliked for their non-intuitive controls and design choices that hinder usability.

return img,objectInfo 

cap = cv2.VideoCapture(0) cap.set(3,640) cap.set(4,480) #cap.set(10,70) while True: success, img = cap.read() result, objectInfo = getObjects(img,0.50,0.2, objects=['cellphone', 'mouse', 'keyboard']) #print(objectInfo) cv2.imshow("Output",img) cv2.waitKey(1) 

return img,objectInfo 

cap = cv2.VideoCapture(0) cap.set(3,640) cap.set(4,480) #cap.set(10,70) while True: success, img = cap.read() result, objectInfo = getObjects(img,0.50,0.2, objects=['cellphone', 'mouse', 'keyboard']) #print(objectInfo) cv2.imshow("Output",img) cv2.waitKey(1) 

1. Planning and Research

• Understand the Purpose and Goals: Identify the website's purpose (e.g., e-commerce, portfolio, blog) and the specific goals (e.g., increase sales, showcase work, provide information).
• Research the Target Audience: Understand the target audience, their needs, and how they will use the website.
• Analyze Competitors: Look at competitor websites to identify best practices and opportunities for differentiation.

2. Define Scope and Requirements

• Outline the Project Scope: Define what will be included in the project (e.g., number of pages, specific features like contact forms, e-commerce functionality).
• Create a Sitemap: Organize the content structure and hierarchy, mapping out how users will navigate the site.

3. Design

• Wireframing: Create wireframes to outline the layout and structure of each page without focusing on design details.
• Mockups: Develop high-fidelity mockups incorporating branding elements such as colors, fonts, and imagery.
• Responsive Design: Ensure the design is responsive, adapting well to various screen sizes and devices.

4. Content Creation

• Develop Content: Write or gather all necessary content, including text, images, videos, and other media.
• Optimize for SEO: Ensure the content is optimized for search engines, incorporating relevant keywords and following SEO best practices.

5. Development

• Choose a Platform: Decide on the platform (e.g., WordPress, Shopify, custom HTML/CSS) based on the project’s requirements.
• Set Up Hosting and Domain: Register a domain name and choose a reliable hosting provider.
• Build the Website: Convert the design into a functioning website using HTML, CSS, JavaScript, and other relevant technologies. Integrate any necessary back-end functionality (e.g., databases, server-side scripting).
• Implement CMS: If using a Content Management System (CMS), set it up and customize it according to the design.

6. Testing

• Cross-Browser Testing: Ensure the website works correctly across different web browsers.
• Device Testing: Test the website on various devices, including desktops, tablets, and smartphones.
• Functionality Testing: Check all forms, links, and interactive elements to ensure they work properly.
• Performance Testing: Optimize the website for speed and performance, using tools to identify and fix issues.

7. Launch

• Pre-Launch Checklist: Conduct a final review of all aspects of the site, ensuring everything is in place.
• Deploy the Website: Move the site from the development environment to the live server.
• Final Testing: Perform a final round of testing on the live site to catch any last-minute issues.

8. Maintenance and Updates

• Regular Updates: Keep the website content fresh and up-to-date. Regularly update software and plugins to maintain security.
• Monitor Performance: Use analytics tools to monitor site performance and user behavior.
• Security Maintenance: Regularly back up the website and monitor for security vulnerabilities.

Additional Considerations

• User Experience (UX) Design: Focus on creating a seamless and intuitive user experience throughout the design and development process.
• Accessibility: Ensure the website is accessible to users with disabilities by following web accessibility guidelines (e.g., WCAG).
• Legal Compliance: Make sure the website complies with relevant laws and regulations, such as GDPR for data privacy.