However, if a Dockerfile is used (as ipptyf found it was in this case), when you docker pull the image, you can recover a history of the Dockerfile commands (which are not the dockerfile itself, but close enough). However, keep in mind that manual edits to images could have been performed and committed, and would not show up with this procedure
You can explore world landmarks and natural wonders, and experience places like museums, arenas, restaurants, and small businesses with Street View. You can use Street View in Google Maps and the Street View gallery.
If you want to report outdated imagery to our team, fill out the request information on this form. Your feedback guides us to determine where imagery updates are most important. Keep in mind that Google can't commit to a specific timeline for updates.
The Street View Static API metadata requests provide data about StreetView panoramas. Using the metadata, you can find out if a Street View imageis available at a given location, as well as getting programmatic access tothe latitude and longitude coordinates, the panorama ID, the date the photo wastaken, and the copyright information for the image. Accessing thismetadata lets you customize error behavior in your application.
When you detect that a panorama ID has changed, use the original locationaddress or latitude and longitude coordinates to search again for the nearestpanoramas to that location and get a new panorama ID.
You can include the following parameters in your metadata request: size,heading, fov, and pitch. Note that these parameters don't influencethe data about the panorama, or which panorama is found.The API allows the inclusion of the same parameters as theimagery requestto make it easier to construct a metadata request related to a specific imageryrequest, but for metadata requests, the API ignores the optional parameters andtheir values. For information about using these parameters, see theStreet View Static API developer's guide.
The status field within the metadata response object contains the status ofthe request, and may contain debugging information to help you troubleshootwhy the Street View request is not working. The status field may containthe following values:
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This paper introduces MVDiffusion, a simple yet effective method for generating consistent multi-view images from text prompts given pixel-to-pixel correspondences (e.g., perspective crops from a panorama or multi-view images given depth maps and poses). [Expand] Unlike prior methods that rely on iterative image warping and inpainting, MVDiffusion simultaneously generates all images with a global awareness, effectively addressing the prevalent error accumulation issue. At its core, MVDiffusion processes perspective images in parallel with a pre-trained text-toimage diffusion model, while integrating novel correspondence-aware attention layers to facilitate cross-view interactions. For panorama generation, while only trained with 10k panoramas, MVDiffusion is able to generate high-resolution photorealistic images for arbitrary texts or extrapolate one perspective image to a 360-degree view. For multi-view depth-to-image generation, MVDiffusion demonstrates state-of-the-art performance for texturing a scene mesh. [Collapse]
Given a sequence of depth maps from a raw mesh, MVDiffusion can generate a sequence of RGB images while preserving the underlying geometry and maintaining multi-view consistency. The generation results can be further exported to a textured mesh. Check out more results in the gallery page.
This research is partially supported by NSERC Discovery Grants with Accelerator Supplements and DND/NSERC Discovery Grant Supplement, NSERC Alliance Grants, and John R. Evans Leaders Fund (JELF). We thank the Digital Research Alliance of Canada and BC DRI Group for providing computational resources.
In this paper, we develop a new deep network to explicitly address these inherent differences between ground and aerial views. We observe there exist some approximate domain correspondences between ground and aerial images. Specifically, pixels lying on the same azimuth direction in an aerial image approximately correspond to a vertical image column in the ground view image. Thus, we propose a two-step approach to exploit this prior knowledge. The first step is to apply a regular polar transform to warp an aerial image such that its domain is closer to that of a ground-view panorama. Note that polar transform as a pure geometric transformation is agnostic to scene content, hence cannot bring the two domains into full alignment. Then, we add a subsequent spatial-attention mechanism which further brings corresponding deep features closer in the embedding space. To improve the robustness of feature representation, we introduce a feature aggregation strategy via learning multiple spatial embeddings. By the above two-step approach, we achieve more discriminative deep representations, facilitating cross-view Geo-localization more accurate. Our experiments on standard benchmark datasets show significant performance boosting, achieving more than doubled recall rate compared with the previous state of the art.
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I am responsible for administering and creating a lot of small courses. This means I frequently copy modules or whole courses into existing courses. My current issue, is that the icons I used to design my pages are showing up in the instructor view and not the student view. The icon files are all available in the course files for the course in question. I both copied the folder with all the icons into the new course and re-uploaded the same files from my computer to the specific courses facing this issue. This problem occurs both with Safari and Chrome.
The icons are all over the course, and to replace and re-upload every icon is not feasible, nor is it a practical solution for future courses. This is extremely frustrating and and if anyone has a realistic solution, I would be extremely grateful.
@SA-2021 I've had the same issue for several months, but for me, the students results are piecemeal... some students can see the images, some can't. I've tried numerous other solutions offered in the forums and asked students for screenshots (and context clues: browser, device, version of browser, etc.,) until students finally just say "it's fine, I don't care about the pictures". However, no student should have to deal with just file names popping up all over instead of the beautiful courses we put hard work into designing for them. I'm sorry I don't have a solution, but I offer solidarity. (And, of course, am following this thread for any hope of a solution.)
I downloaded all of the Canvas style icons then uploaded them to use to a free, public Flickr account and embed them into the Canvas pages. It works perfectly. Just in case, I have problems with Flickr down the line, I created the page dividers/lines using Html code. Any images that I wish to only show up on Canvas, I put into a program called Genially and then embed the Genially presentation back into Canvas.
The general consensus on the internet is that the Canvas file system sucks and is best avoided. My Canvas courses look fantastic and they are 99% built on other website and Canvas is simply serving as a hosting hub. I do really like Canvas but they are severely lacking in the page building department.
Thanks for writing, its good to hear someone else is in the same boat! I have continued to scour the internet and I think I know why it is happening. Even though I was careful to copy the course files when I duplicated the courses, the links on Canvas are going back to the original course. Because I have access to the original course, the pictures show up in the teacher view. Since the students don't have access to the original course, the images appear broken to them. As recently as 2019, there were two ways to embed images into a Canvas page. Doing it one way would create the problem I am experiencing and doing it the other way would allow the courses to be copied and the links reset to direct to the files in the new course; the way it should really do by default.
Knowing why has provided a solution to some aspects of the problem. For me, the biggest issue is the dividers, icons and other decorative aspects of my pages. I can re-create dividers through HTML code. They don't look quite as nice but they will show up. Emojis are replacing icons when possible. Full scale images, I am hosting in other places (like Google Drive and Flickr) and embedding them in Canvas. I would still like a solution though because these work arounds do not allow for the pages to look visually the way I would like.
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