 If you have a route in your Flask application that processes the image and you want to display the resulting image, you need to pass the processed image's path back to your template when you render it. Here's an example of how you might modify your Flask route to include the processed underscore image variable. Make sure that the actual logic to determine the path of the processed image is implemented in your Flask application, and replace the placeholder, path underscore to underscore process underscore image.jpg, with the correct path based on your application's logic. Let's just continue from what we left off. Hopefully it all makes sense together later. Let me just post on LinkedIn as well, just in case someone wants to join in and ask relevant questions. Ideally, so checking out the website and keep providing any feedback. What's the video called? Okay, let's jump back straight into it. So currently, current application is giving an error. Why am I hearing myself delayed? Because that's the wrong earpiece. I need the real-time one. There's like a six, seven seconds delay from when I speak to the live stream. Okay, so in Python code, let's check this few things. Up your existing code, depth index, existing logic. Now, need the processed image. And this is just a placeholder because we don't have the image yet. And just like the image is also provided in case no image files are found. We already have that. Processed image can go there. It's not currently being used. Return rendered template. Update that. The HTML file. Division class row. Let's minimize this. Division class row column image. This line will be the same. Processed image. I'm not sure why it gave me this line because it's exactly the same as it used to be. Right, make sure. Now we obviously need the image itself. Well, we obviously need the actual logic for processing the image. Now we have it twice. We can get rid of that, can we? Yeah, because that's not needed. Let's see what it says quickly. To implement the logic for determining a path to a processed image in a Flask application, you'll typically have some processing function that takes an original image, applies some kind of feature extraction or other processing, and then saves or identifies the processed images path. Right, so what do you know about a feature extraction from images? Below is an illustrative example of how this could be done within your Flask app. This example assumes you have a processing function that saves the processed image in the same directory as the uploaded image with a modified file name. Okay, first of all, we're using that folder. So we'd like it to be in a separate one. Image folder, a processed image. Wait, yeah, this image folder. Okay, let's add a processed images. A copy path change to separate folders. Okay, we have this in a Python image. I need an absolute folder. Currently we have 40 lines, we have 49. We have processed image in HTML class row. This would be the same. Processed image is not available in JavaScript. It's actually cold. Oops. How does it get? It's not cold. The GGS is called main. JS by mistake, shut down the application. And it's not in the JS folder. Okay, now I'm getting 304, which is much better. I'll deal with logo and other things later. Basic stuff. Change to a separate folder. That's fine. Date when input is changed with that quickly. Agents calls. This is not JavaScript. Is this the whole JavaScript? No, date detected type. Let's read this quickly. This typically involves making a request to a server with a new detector type as a parameter, processing the image server side, and then sending back the new processed image path for display. Okay, so currently I don't have it at all, so it might as well. 40 lines should be fine. It's returning F4 of 4. Let me re-generate some code, not HTML, and the JavaScript. Let's assume that you place an influence template and then get to the Python code in sec. Okay, let's read that and re-generate the whole thing. I've created variables to store the DOM elements for the original and processed images, which eliminates the need to query the DOM every time an image needs to be updated. I've updated the event listener for the image selection dropdown to use the event. Tug it, value which will give us the currently selected value of the dropdown. The update image display function has been defined to update the SRC attributes for both the original and processed image DOM elements. Keep ignoring me. Okay, it feels like I need to start fresh. I've mixed up somewhere, especially the file names. Just check that there's no... Okay, let's start with the info file first. Okay, let's go. Let's just bombard GPT-4. Default version, start with... This one has the confirming... Okay, okay, okay. I've read through your HTML code and noted the structure you're implementing for the feature extraction page. Based on your requirements, here are the necessary updates and comments to be applied to the HTML file for your Flask application. I don't think you know what you're talking about yet because you don't have all the information. Okay, let's do JS first. I don't understand why it's generating stuff and I'm asking not to generate anything at all. Before you proceed with further code generation, make sure to adjust the get underscore processed underscore image underscore path function to match your specific use case because it currently assumes a fixed naming convention for processed images. If your application uses a different naming convention or processing logic, you need to modify this function accordingly. If you confirm that this structure suits your application's requirements and if you need to generate more code for additional roots or logic, like processing images upon changing the detector type, just let me know and I can help you with that. Okay, let's make a process some image to click in with. Let's take code to any processing this stage. Right, OpenCV sounds good. For the application to process images, you typically include a function that uses OpenCV or another library to detect features in the images according to the selected detector type. Here is a simplified example of what such a function might look like using OpenCV for feature detection. The process underscore image underscore with underscore fast function takes an image path for Zimbut, uses the fast algorithm to find key points and then draws those key points on the image. Finally, it saves the processed image to a file and returns the path to the saved image. Okay, let's do the other functions as well and then we will try to integrate it all. Absolutely, you can create functions similar to the one for fast detection for Harris and Sheet and Marzi feature detectors using OpenCV. Here are examples of how you might implement these detectors. Integrate all into the current app.py. To integrate the processing functions into your app.py, you'll want to add routes that handle the processing requests based on the detector type selected by the user. You'll also need to ensure that OpenCV is imported, import CV2, and the NumPy is available, import NumPy as NB since the processing functions depend on these libraries. Write the rest of the file, remain unchanged, process stage folder. How many lines of code? Only 50 lines can integrate the whole thing. It's necessary all the necessary code for app to run with no errors. Certainly. To create a complete app.py with integrated image processing features using OpenCV for feature detection algorithms like Fast, Harris, and Sheet and Marzi, follow these steps. Define routes for rendering a home page and for processing images. Downloading files from the server. Now is the full example code with the necessary imports, routes, utility functions, and placeholder functions for image processing. The secure underscore file name function is a utility provided by WebZug, which is a comprehensive WSGI web application library that Flask is built upon. It's used to sanitize the file name provided by the user, ensuring it is safe to use within the file system. This function escapes special characters and removes any characters that might have significance to the file system, such as slashes or dots, which could potentially be used in a malicious manner to access or manipulate files outside of the intended directories. When dealing with file uploads or any other form of input that specifies a file name, you should always sanitize the input before using it to access or store files on the server. This is to prevent a wide variety of attacks, including directory traversal attacks. Yeah, I think it's missing some of the context that I'm taking the files from an online folder. Can I save this? Make sure to implement the actual processing logic inside process underscore Harris, process underscore she underscore tamazi, and process underscore fast functions according to the feature extraction algorithms you want to apply. You need to write code that reads the image from disk using openCV, processes it using the relevant detector, and then saves the processed image back to the static, processed underscore images directory. I think those errors are okay. I wasn't able to get the first image the first time around. Some folder issues to HTML quickly. See if it's generating the whole code. HTML, about 105, the main index, more, but that code should remain exactly the same. I don't know why I'm changing it. Write this bit here. Main.js has been called okay. If I'm under the label, it's not populated as to JS with HTML. Do I need placeholders? Remember, the fetch images and fetch detector types functions are placeholders. You should replace them with the actual logic to fetch image file names and detector types for your server. The way you populate the drop-downs will depend on how your flash back-end serves this data. If it's provided within the page render context, you might not need fetching logic and instead use the server-ended values. The update image display function is updated to change the SRC attribute for both the original and processed image displays when the user selects a different image. The update detector type function is intended to handle the logic when the detector type is changed, which might include making an Ajax call to the server to process the image with the new detector type and then update the display accordingly. Okay, I'm giving up. Why is it called scrape.js? It should be called... Oh, come on. This is not the folder structure that I asked for. Wrong. We have static main.js style. Yeah, that makes sense. Let's find the folders I need you to regenerate the files. Just generate all calls for me. This is wrong. Okay, it's really out of whack. HGPD new chat default starts from index. Yeah, this way we'll have some description of the application not ready yet. Right, now it's actually behaving. Yeah, let's start the application again. Let's just fix it. It was working just a second ago. No, that's okay. Your application is trying to render a 404 HTML template when a page is not found but it can't find the 404 HTML file in your templates directory. Ensure that you have created a 404 HTML file and test it in the correct templates folder within your application structure. How about we remove that whole thing? Let's remove the script.js. It's not right because it's not called script.js. Just rename it. You win. Yeah, those are different script.js files. One is in static folder. No, it's actually getting it. It's okay. Now, Python is not plotting the entries. Labels like name, ID, image select, search for death in JavaScript, select image and check the drop-downs are not too late. Why isn't it hypothetical? You're following aspects of your code to troubleshoot. HTML template. Ensure that the index HTML template is correctly set up to trade over image underscore files and detector underscore types to populate the options. Data passing in root confirm that the correct context is being passed to render underscore template in the index root and that the image underscore files and detector underscore types variables contain the correct data before being passed to template populated by the flask. That's why I gave it a flask. Based on the snippet you provided, it looks like the template is prepared to have its select options populated by the server, but you have not included any ginger to template logic to actually populate these options. You need to loop over the options provided to the template from flask and render them accordingly. Here is how you can modify your drop-down menus to be populated with the images and detector types provided by your flask context. Now, when flask renders the template, it will replace the percent for image and image underscore files percent and percent for detector and detector underscore types percent blocks with option elements corresponding to each item in the image underscore files and detector underscore types context variables. This is already happening, is it? On page load as the image is selected by default To ensure the first image is selected and displayed by default when the page loads, you can modify your flask view to pass the first image in the list of the template and then adjust the HTML template to mark it as selected in the drop-down. You also need to ensure that the image is displayed on the page, and by clicking an IMG tag, the reference is the selected image. Here is how you can modify the flask view in the HTML template. You can make sure the selected underscore image is set to the first image file in the list of available. It seems you are already doing this based on the previous code you showed. Sorry for that. Can I go for a bit longer? I guess we are already doing that now in the HTML. You can adjust the select element for images to set the selected attribute on the option that matches selected underscore image. Additionally, you need to display the image. Big, which really used to be a 50% I can swear it was a too big plus responsive image. This is not. Control the display size with CSS to make sure the images fit within the user's viewport without causing layout issues. Serves scaled-down versions of the images of the original size are largely large for web display, which can save bandwidth and improve load times. In your HTML template, you can add a class to your IMG tag and then define the size in CSS to ensure that images are never displayed too large, regardless of their actual size. You could also use inline styles, but using a CSS class is generally a cleaner and more maintainable approach. This CSS ensures that the image is responsive and its size is controlled. The max width, 100% rule means the image will scale down on smaller screens of your size. If you want to serve smaller versions of the original images, you would need to create these scaled-down versions when the images are uploaded or processed. This can be done using an image processing library such as Pillow, Pillfork, in Python. Remember that you should call this resize function either when the image is uploaded or before you send it for processing, depending on when you need the image to be resized. The resized images should be saved to a directory that your Flask app serves, such as the static images or static processed underscore images directories. This is not the standard error because there's no when it starts. Now this shouldn't be or selected image. This is wrong. And if processed which is not does not exist don't. In the Flask template to check if processed underscore image underscore path is available before displaying the processed image. Here's an example of how you can do it. Be an easy fix for this. That's more like it. Okay, why is it giving all that stuff? Start it again. Just script 3 or 4. Yes, we actually want a code for actually processing the image. No, this should be in there. A Python script we're going to hit the limit of prompts, what is it, 53 hours or something. To make your code functional for the process underscore harris, process underscore she underscore to marzi and process underscore fast functions, you need to implement the respective algorithms using open CV functions and then save the processed images to the static processed underscore images directory. Below are the example implementations for each of these functions. We're unlikely to work still generating a copy relative. Remember to change the extensions in a replace method if you plan on using different image formats or the original images have varying extensions. Additionally, the image path needs to be returned in a web friendly format relative to the static folder. The above code snippets include steps to convert the saved image path to a relative path usable by the Flask application. Lastly, these snippets assume the original images are JPEGs, so adjust the extensions if using different formats. Also, ensure that the static images and static processed underscore images directories are correctly set up as per the comments at the beginning of your Python file. Check that the application has permission to write files to the static processed underscore images directory. If you're running in a unix-like system, permissions can be set with the chmod command. Check that the application has permission to write files to the static processed underscore images directory. If you're running in a unix-like system, permissions can be set with the chmod command.