I get it a lot of people use their phone but sometimes it’s nice not to have to worry about cell coverage, data, etc. Pretty ridiculous if you ask me! Then I wonder how they can put on the brand new models because they are typically with a newer update (I’ve seen it at the dealers on the new models), so how did they get it on those but nobody else does? Honda needs to invest more R&D in the maps if they want people to buy the built in systems. It is immensely frustrating esp when you have a HondaLink subscription which is expiring and despite an entitlement to the update, they haven’t even released one update all year. The in car systems even keep prompting me it’s overdue for an update. What a runaround! It’s pretty ridiculous that you can go buy a $150 Garmin Nuvi gps with more up to date maps than the built in Honda navigation system that lags behind. I called Garmin who said the delay is on Hondas side because they released the 2024.10 update quite a while ago for the portable devices but Honda does their own thing (not sure what they’re review and approval consists of) and then Honda told me they’re not delaying it and to call Garmin. It’s now October 2023 and they have yet to release a map update for this year! My 18 Accord and 19 Odyssey are still running last year’s 2023 update (they’re always dated a year ahead). It seems that the Honda Navigation Garmin updates are getting less frequent and slower than ever to be released. Very frustrating! Anyone have any insight / knowledge of what’s going on here? and free the phone up for something else while the Honda maps display nicely on the car.
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What’s the difference between using Canny edge detection and Openpose? The Canny edge detector extracts the edges of the subject and background alike. Images are generated based on these two conditionings. It is then fed to Stable Diffusion as an extra conditioning together with the text prompt. Keypoints are extracted from the input image using OpenPose, and saved as a control map containing the positions of key points. Input image annotated with human pose detection using Openpose.īelow is the ControlNet workflow using OpenPose. Openpose is a fast human keypoint detection model that can extract human poses like positions of hands, legs, and head. Human pose detection exampleĮdge detection is not the only way an image can be preprocessed. The process of extracting specific information (edges in this case) from the input image is called annotation (in the research article) or preprocessing (in the ControlNet extension). Stable Diffusion ControlNet with Canny edge conditioning. It is fed into the ControlNet model as an extra conditioning to the text prompt. An image containing the detected edges is then saved as a control map. Edge detection exampleĪs illustrated below, ControlNet takes an additional input image and detects its outlines using the Canny edge detector. Let me show you two examples of what ControlNet can do: Controlling image generation with (1) edge detection and (2) human pose detection. The extra conditioning can take many forms in ControlNet. It uses text prompts as the conditioning to steer image generation so that you generate images that match the text prompt.ĬontrolNet adds one more conditioning in addition to the text prompt. The most basic form of using Stable Diffusion models is text-to-image. You can use ControlNet along with any Stable Diffusion models.
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